We integrate AI across your entire company so it actually works — and pays off for years — on the Microsoft and Anthropic stack. Buying the technology isn't enough. It has to work — and that's our job.
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We take AI out of the tool and into the operating layer of your company.
We integrate AI across the entire company — from the tools people use every day to the operating layer that runs the company. Not a one-off training, not a tool off the shelf. We own the implementation and the result.
In four layers, in a loop: Compass maps the company, Launchpad teaches people the tools, Orbit deploys agents into operations, Star builds your own core. Step by step.
The company hierarchy is changing — from top-down decision-making to a loop where data, people and agents keep pace together. Whoever switches sooner gains the head start.
AI capabilities double every few months, the cost of performance is falling by orders of magnitude and work is being reshuffled. The head start you build now can't be caught up in two years.
A manufacturer, 600 employees. How we took AI adoption from 17 to 78 % — step by step, our way.
Not one tool — the whole loop on Microsoft and Anthropic. We start with discovery and build outward.
We map how the company really works and pinpoint where AI pays off the most.
We teach the team to really use AI tools — by role, on real tasks.
We deploy AI agents directly into your processes — digital workers 24/7.
Your own operating core grows — data stays and makes the decisions.
Every industry has different routines. We show you specifically what AI will take over at your company — and how your company will look after deployment compared with how it works today.
Dispatching, shipment tracking, price quotes, communication with carriers, invoicing and claims.
View industry →Documentation, planning and quality control, meeting minutes, turning notes into the system.
View industry →Reports and data analysis, maintenance documentation, materials for management and compliance.
View industry →Price quotes and budgets, subcontractor inquiries, construction logs and reports.
View industry →Intake of requests, scheduling of cleaning and maintenance, technician dispatching, reports and invoicing.
View industry →Consistent communication to branches, onboarding, orders, reports and quality standards.
View industry →We'll show you where your company should start — from mapping the work to your own Star core.
We sit down with you at your company and map live how you really work — roles, routines, decision points. We find where AI pays off, and we prepare people for the change. Not an audit, not surveillance of people.
The gateway to AI adoption — we do it live, right at your company.
Compass is a live service delivered right at your company. We start by preparing for the change and finish with a smooth transition into training.
We explain to leadership and teams why AI adoption doesn't start with training or a license, but with understanding the work. Compass is neither surveillance of people nor an audit.
Deliverablealigned leadership and a clear briefLeadership gets a framework for making AI decisions, sets governance and the highest-impact priorities.
Deliverablea priority list and a draft roadmapIn guided interviews right at your company, we map how the work actually happens — roles, routines, inputs and outputs, time losses, places for AI and the boundaries where a human decides.
DeliverableRole & Process AI Opportunity MapWe validate the proposals against your data and processes — data flows, compliance, team readiness.
Deliverablean audit report, an AI readiness score and candidates for quick winsConcrete AI use cases by value and feasibility — for which roles, what AI takes over, what stays with the human.
Deliverablean adoption roadmap, where to start, and the foundation of governanceCompass tells you where and for whom AI makes sense. Launchpad turns it into training on your own real work.
Deliverableone smooth transition Compass → LaunchpadNo remote form. We're at your company, mapping live with your people. We don't ask in the abstract — we ask in human terms.
It's not enough to switch AI on — it has to be onboarded into the work, the role and the company environment. Compass is that first step.
That's how we ask. Not about process diagrams, but about what you really deal with — because that's where it shows where AI will help and where the human has the final word.
The Compass deliverable is six concrete things you can step straight into AI adoption with.
A map of your work with the spots marked where AI will help — and where the human has the final word.
For which roles, what AI takes over, what stays with the human, what the value is and the next step.
Prioritized steps and a clear recommendation on where to start.
Where the company stands on data, processes and team readiness.
Rules for the safe and responsible use of AI across the company.
Recommended training content tailored to your roles.
After the first deployments we measure again — and leadership sees a real difference, not an impression.
Right at the start we set a baseline — time, routine tasks, adoption and output quality. After the first deployments we measure again and leadership sees a real difference, not an impression.
The strategic meeting sets the direction, the audit turns it into a final roadmap. The deliverable isn't a slide deck but a work map that you step into Launchpad with.
Compass maps the terrain. Launchpad teaches people, Orbit deploys agents 24/7 and Star is the company's own core. Each layer prepares the next.
Honest answers to what we hear most — no sugarcoating.
We sit down with you at your company, map the work and show where AI adoption should start for you specifically. Then we move smoothly into Launchpad.
We teach your team to use AI in everyday work — live, by role, on your real tasks. Using the flipped classroom method, in the Microsoft Copilot + Anthropic Claude ecosystem. Not a one-off training, but a program that sticks and gives time back.
Microsoft Solutions Partner · TD SYNNEX Destination AI
We don't start with abstract AI use cases — we start with the tasks people do every day: emails, calendar, documents. We eliminate the wasteful work (retyping data into the CRM, meeting notes, entering invoices into the system) so there's time left for work that has value.
We don't talk about "improving efficiency" or "cutting headcount." We talk about: the company doesn't forget your tasks and makes you more capable.
That's why we don't teach "AI features," but the concrete work of concrete roles — on the tasks you have on your desk today.
Which companies have already done it, how it helped them, and what you'll learn with Enter too. References by department.
We take a different approach — we don't deal in theory, but in your real business pain points, and we build a habit, not attendance.
We don't measure attendance. We measure what people actually use a month after the training.
Just want a taste of the basics? Or to go all-in on AI transformation? We adapt to your pace — this is our logic, step by step.
We sit down with leadership and set the direction.
Outputclear priorities and a draft roadmapWe map where you stand today and what can be sped up right away.
Outputaudit report, an "AI readiness score" and candidates for quick automationsThe team learns to use AI practically in their own processes.
Outputprocess map, templates and mini-projectsSales, controlling, HR, manufacturing, logistics — each team separately.
Outputspecific tools and approaches for each teamWe turn opportunities into a concrete implementation plan.
Outputa brief for implementing automations (together with EnterIT)A one- to two-day workshop that gets right to the bone of what AI can do today. Length 8–16 hours, with an uncompromising ratio: minimum theory, maximum practice on your real tasks.
You study the theory and how-tos in advance, outside the room.
We spend the shared time working on your real tasks.
The flipped classroom method was developed with Bohumil Kartous, a leading Czech education expert.
4 hours with company leadership. The output: an audit report, an "AI readiness score" and a clear recommendation on how to proceed.
The path isn't sequential — it depends on each person's role and pace. Five levels we build on.
Emails, calendar, simple documents.
Find information in documents, summarize a meeting, research.
Emails, draft proposals, presentations.
Data analysis in Excel, planning, coordination across tools.
Crisis communication, preparing for a complex meeting, multi-source research.
Different tools, different tasks. Pick a role and see what AI actually takes over for it.
That's the core we work in with you every day. Enter is both a Microsoft Solutions Partner and an Anthropic Partner — and we get these tools into the real daily work of your people.
An anchor in the environment the company already has — Microsoft 365: Outlook, Word, Excel, Teams, PowerPoint. AI right where people actually work, under management and within the company's perimeter.
A frontier model for demanding reasoning — long documents, analysis, writing and complex tasks where the quality and accuracy of the output matters.
During the program we record recurring tasks. Leadership then decides which of them an AI agent takes over — and Orbit puts them into operation.
Launchpad is the first step toward getting AI into operation. People learn to use it — and what they do repeatedly becomes a candidate for automation.
That's how a seamless transition emerges: Launchpad teaches people → Orbit deploys agents.
· case study
A manufacturing company with 600 employees. 120 people went through the program, including leadership — from strategy to individual roles. The key to lifting adoption from 17 to 78 %: role-based education, the flipped classroom and governance. Measured via usage signals and before/after surveys.
We'll teach your people to use AI in their own work — live, by role, with measurable impact.
A custom-built virtual team of AI agents completes specific tasks for your people — natively in your Microsoft 365, with a human at the decision. Not a chatbot that gives advice. An agent that actually gets the work done.
Azure & Microsoft 365 native · data in the EU · GDPR and EU AI Act ready
Your people spend hours on repetitive prep — proposals, lead sourcing, content, meeting notes, research. An agent finishes this work in minutes. What's left for people is what a machine can't do: the decision, the relationship, the judgment.
The agent actually completes the task: it generates the proposal, finds and scores leads, builds the landing page, drafts the post. It runs 24/7, never forgets, and holds the whole company's context.
Orbit is the third step: after mapping the work (Compass) and adopting AI into operations (Launchpad) comes automation.
The agent handles the heavy prep at a fraction of the time and cost. The person then just fine-tunes and decides. (Illustrative comparison of the prep phase.)
The agent takes your brand manual, your processes, your project history and integrations (Microsoft 365, CRM, invoicing). We train it on your data and tone — the output sounds like your company.
You don't have to deploy all five agents. Start where it hurts most — and expand the team when it makes sense.
The roles weren't born in a lab, but from real-world business demand.
Each agent handles a defined role. The roles came from real-world business demand, not from a lab.
The agents share the company's context through a shared workspace. The Brain Agent above them holds quality and continuity — you don't move data by hand.
It runs in Azure with data in the EU, compliance ready (GDPR and EU AI Act). It sits inside Entra ID, Outlook, Teams and SharePoint.
Never "send and hope." With every agent it's clear where the machine ends and the human begins.
The agent does the heavy prep. For high-impact actions, a human always decides. Then the agent carries the work through.
You talk to the Brain Agent like a teammate; it splits up tasks, holds the company's context and watches over continuity.
With every agent it's clear where the machine ends and the human begins. Never "send and hope."
When the agent isn't sure or the action is irreversible, it escalates to a human. It never sends anything critical on its own.
Whatever a person edits, the agent remembers. The company's memory grows and outputs get sharper.
Human: decision, relationship, judgment. Agent: preparation, routine, volume.
The Brain Agent holds the team together, four specialists do the work. For each: why, what it does and where it hands off to a human.
Connects internal data, visualizes KPIs into dashboards, watches for trends and anomalies. Decisions from numbers, not from gut feeling.
Invoicing workflow, payment matching, cost tracking, VAT documentation. Integration with Fakturoid, iDoklad, Pohoda — under the supervision of a partner accountant.
Forensic competitor monitoring, analysis of hidden trends and expert-grade materials for tough strategic decisions.
We'll show you where it pays off to deploy an agent first — and build it to measure into your Microsoft environment.
From a live service grows your own AI brain — on-premise, private, running the company and orchestrating agents from Orbit. AI without adoption is a license without value; Star closes that gap through ownership.
Compass → Launchpad → Orbit → Star · on-premise migration of the same
The three pillars of Star — why it's more than a rented tool.
Your data never leaves your infrastructure. Full control over what the model sees and what it doesn't. Governance, audit, and compliance stay with you.
An on-premise private LLM that runs the company and orchestrates your agents from Orbit. Not a rented tool — a core that is yours and learns for you alone.
From a live advisory service grows a core that belongs to you. The end of vendor lock-in. Every month of operation widens a lead that no one can catch up to by buying a license.
A large share of CIOs are bringing workloads back from the public cloud under their own control. From August 2026, the EU AI Act becomes enforceable. For regulated sectors — finance, healthcare, public administration — the cloud often isn't an option. Owned data and an owned AI brain become a compounding lead — a moat the competition can't catch up to by buying a license. Every month of operation widens that lead. Whoever starts earlier builds a head start that can't be closed in two years.
Star is neither a black box nor one giant model. It's a four-layer architecture that you run yourself and own entirely. Here's what actually runs inside it — no buzzwords.
The brain that decides who does what. It takes a task, breaks it into steps, assigns them to the right agent, and watches the result. The same agents you know from Orbit in Microsoft 365 report here and receive instructions from here. Star is the conductor, Orbit is the orchestra.
One or more language models fine-tuned to your company, plus a layer that connects them to your documents, contracts, and databases before every answer (RAG). The model doesn't answer from memory — it answers from your current data and can tell you which source it drew on. No hallucinations about what's in your policy.
The hardware it all stands on: GPU servers to run the models and storage for your data and its indexes. It sits in your data center or in your private section of a data center. Data flows in, gets processed, and never physically leaves your perimeter. This is the difference between owning and renting.
The layer every request and every response passes through. It watches who has access to what, what the model may and may not do, and writes an audit trail — who asked what and what they got. This is the layer compliance, your auditor, and the EU AI Act will demand. Without it, AI has no place in a company.
The loop runs inside the company and feeds into your own Star core. Switch modes and compare: a sovereign core keeps sensitive data at home, the public cloud lets it leak out.
Fast deployment and top-tier models — the right choice for generic tasks. But with sensitive data, knowledge of the company stays outside it and control ends at the platform boundary. In regulated sectors, that's a limit.
On-prem or private cloud. Data stays at home, the loop learns for the company — not for the vendor. Every month of operation widens a lead the competition can't catch up to by buying a license.
Star isn't a box in someone else's data center that you rent. You choose where the core sits and who has physical access to the hardware. Three options, one principle: the data stays with you.
The core runs on servers in your server room, behind your firewall. Data never leaves the building, and only your IT has access to the hardware. A fit for companies where data physically may not go out — finance, healthcare, the public sector, defense.
A dedicated, isolated space at a European provider that belongs to you alone — no shared tenant, no shared compute. No investment in your own hardware, while control over the data and the model stays on your side. For companies without their own server room that still don't want the public cloud.
You keep the core and sensitive data on-premise, and offload spikes and less sensitive tasks to a private cloud. You decide which data may cross the perimeter and which may not. For companies that want both sovereignty and the ability to scale at peak times.
Sovereignty isn't a slogan, it's a list of properties that hold up before an auditor and a regulator. Here's what it means concretely for regulated sectors.
Your data, queries, and derived outputs stay inside your perimeter and within the EU. Nothing is sent to an outside API, nothing is logged outside your infrastructure — you have every byte under control.
Enforcement of EU AI Act obligations begins in August 2026 and will touch even where and how your model runs. Your own core gives you the transparency and control a rented cloud won't offer — you can demonstrate compliance, not just promise it.
Every query, every answer, and every access to the model is recorded — who, when, what they asked, and what they got. In an audit or an incident you have a complete trail, not a black box.
You control access to the core's data and capabilities by role: a salesperson doesn't see payroll, a contractor doesn't see contracts. The model respects your permissions, it doesn't bypass them — sensitive data doesn't reach anyone who isn't entitled to it.
Your data never trains an outside model and never improves an outside product. What the core learns from your operation stays your competitive advantage — a moat that grows for you, not for the vendor.
Star is the destination of the journey, not the start. Each layer prepares the ground for the next — and Star is the final distillation: your own AI brain that the company truly owns.
Companies that go through Compass, Launchpad, and Orbit have the foundation for AI to stop being a cost item and become a strategic asset. Star is the endgame: an AI brain the company owns, that learns for it alone and widens its lead every day. Not a rented model with a data dependency on the vendor — a core that grows with the company and stays, even when the market changes. That's a difference that can't be closed in two years. And that difference opens a window today — for those who start.
Star isn't a tool you rent. It's the company's brain that you own — it learns for you alone and with every month of operation widens a lead no one can catch up to by buying a license.
Enter · phase 2 of the loopWhat companies considering their own core ask — and honest answers, no sugarcoating.
Star is the vision the loop leads to. We'll show you where your company stands today and what a realistic path to your own core looks like — no shortcuts and no unrealistic promises.
Not a remote agency. People who sit down with you, understand your operations and stay through to the end — from the first work map to your own core. This is the team behind Enter.
Built a proven education business — 120+ companies, 800+ people trained, Microsoft Solutions Partner. Leads the lecturer core, the Flipped Classroom methodology and drives strategy and product.
„In 2026, a one-off training is no longer enough — AI has to be part of the work, with adoption and measured impact."
Turns AI potential into measurable results through AI audits, hackathons and training. Fast and sustainable adoption.
Practical AI tools for content creation, personal branding and effective team communication on social media.
Consulting and deployment of AI in public administration and municipalities — solutions that simplify the agenda.
Brings the basics of AI into everyday practice — clearly, practically and with immediate value.
21 years in digital, founder of Sentimelo. Ethical AI and preparing companies for the EU AI Act, human-in-the-loop.
Techmates are our infrastructure partner for all the projects we work on. They own the Orgus platform — AI-powered mapping of company processes, which Compass is built on top of.
30 minutes. We'll show you where AI saves the most time at your company — and how to get it going, from mapping to agents.
Dispatching, quoting requests, shipment tracking, carrier communication, invoicing — AI agents take over the routine, people handle exceptions and relationships. Imagine how your company runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Switch and compare: same operations, different day.
Freight forwarding runs on email, phone and Excel — and every link in the chain is held together by a person manually retyping data from one place to another. A request comes in by email, the dispatcher manually keys it into the system, calls three carriers, waits for quotes and compares them in their head or in a notebook. You check shipment status by phone, the POD gets lost somewhere between the driver, the office and invoicing, and until the signed paper arrives, an unbilled trip is sitting behind it. Claims are handled by digging through the inbox to figure out who wrote what to whom and when. Carrier rate cards and contract prices are scattered across file versions and inside dispatchers' heads — and when someone falls ill or leaves, a chunk of operational memory walks out with them. In the evening, someone then pieces together what was loaded, unloaded and what's still left hanging that day.
With Enter, dispatching stops bleeding into retyping and phone calls. Agents extract requests, compare quotes and make sure no shipment or POD is left hanging — instead of paperwork, your people decide on prices, carriers and relationships. It runs natively inside your Microsoft, data stays in the EU and there's a person of yours at every step.
The agent reads the request from an email or PDF — from where, to where, weight, dimensions, deadline — and files it straight into the system without manual keying. The dispatcher gets a ready record to review and starts arranging transport, not retyping.
The agent gathers prices from carriers, pulls in their contract rate cards and presents a clear comparison including margin. Instead of calculating in your head and in Excel, within minutes you see who to give the job to and for how much.
The agent watches shipments, collects statuses and alerts you itself when something stalls or a delay is looming. There are fewer „where is it" calls and the customer gets the info before they even reach out.
The agent matches the delivery note and POD to the job, watches for missing signatures and prepares the invoicing basis as soon as the trip is done. Money gets billed sooner and doesn't stay stuck behind a lost piece of paper.
For a claim, the agent tracks down the entire trail — the order, the communication, the POD, the timestamps — and writes it up in one place. Your people settle the claim calmly and with the documentation in hand, not by fishing through the inbox.
We don't start with a tool, but with your operation. The same loop as at every company — just tailored to your industry.
We map dispatching, shipment flows and routines live. We find where AI earns the most.
Outputan AI Opportunity Map of your operation.Dispatchers and back-office learn AI on their real tasks — flipped-classroom style.
Outputa team that actually uses AI.We deploy agents on dispatching, tracking, quotes and communication — connected to your systems.
Outputdigital workers 24/7.We'll show you specifically what AI takes over at your company and what difference it makes.
Job documentation, planning, quality control, meeting minutes — AI agents take over the routine around production, so foremen and technicians get back to making things. Imagine how your company runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Toggle and compare: same operations, different day.
In manufacturing, things still get retyped by hand. A meeting about the production plan turns into notes in a notebook, someone keys them into the system in the evening, and meanwhile the shop floor is working off paper that's already out of date. Technical documentation exists in three versions on three drives and no one is sure which one is the latest — so people just call the design engineer to be safe. In the morning the foreman is ringing around to find out who's coming in and what's missing from stock, instead of dealing with the job. Complaints and quality reports take hours to track down, because they're scattered across emails and phone photos. And reports for management? Every Friday they get stitched together in Excel from five sources, often after hours.
With Enter, information stops getting stuck between the shop floor, the office and the system. Minutes, documentation and reports are created on their own, in the background, so the foreman and the director deal with production, not paperwork. People keep what a machine can't do — decisions, customer relationships and a feel for the job.
The agent listens in on the production meeting, pulls out tasks, deadlines and the people responsible, and logs them straight into the system. Instead of typing things up in the evening, the foreman has finished minutes and tasks in the plan within minutes of the meeting wrapping up.
The agent tracks versions of drawings and technical documentation and, on request, finds the latest valid version along with the change history. The design engineer doesn't have to pick up the phone and no one on the floor works off an old drawing.
From a photo of a whiteboard, a handwritten note or a voice memo, the agent extracts the data and enters it into the ERP or the production plan. Double entry and transcription errors disappear; a person just checks and confirms.
The agent pulls the numbers from production, the warehouse and attendance on its own and builds a weekly report in a single format. The Friday Excel stitch-up is gone; management has a view of deadlines and delays anytime, not just on Friday.
The agent gathers the protocols, photos and emails for a complaint or inspection and prepares a complete package. The digging that used to take hours is now a matter of moments, and a person still makes the call on the complaint.
We don't start with a tool — we start with your operation. The same loop as for any company — just tailored to manufacturing.
We map your job documentation, planning and the routines around production live. We find where AI pays off the most.
Foremen and back-office learn AI on their own real tasks — flipped-classroom style.
We deploy agents for documentation, planning, quality control and reports — connected to your systems.
We'll show you concretely what AI takes over at your shop and what difference it makes — what AI takes over at your shop and what difference it makes.
Operational reports, data analysis, maintenance documentation, compliance — AI agents take over the routine processing, and leadership decides from ready-made inputs. Imagine how your company runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Switch and compare: the same operations, a different day.
Operations keep running, but the paperwork is always catching up late. At the end of the shift the foreman retypes values from the logbook into Excel, the process engineer searches five versions of one process instruction for the valid one and still isn't sure. A non-conformance report is written by hand, passes through three emails, and by the time it reaches a decision, the afternoon shift is gone. An audit or inspection is coming up and someone spends two days assembling documents on calibrations, safety data sheets and the inspection plan from various folders and binders. Reports for leadership are produced in the evening, when the foreman or production manager manually adds up downtime, scrap rates and energy consumption instead of looking at why they're rising. And the small things — an overdue inspection, an unordered spare part, an unfinished maintenance record — fall through the cracks between the line, maintenance and quality until they turn into a shutdown.
With Enter, operations stop waiting for the admin work to catch up. Agents take over data extraction, report writing and assembling audit inputs, so the foreman, process engineer and production manager have the numbers and the context right away — and time to decide, not to retype. Everything runs natively in your Microsoft, your data stays in the EU, and a human is in the loop at every step that decides something.
The agent takes the shift notes, line values and logbook entries and writes the shift report and the non-conformance record in a single consistent form. At the end of the shift the foreman doesn't retype — just reviews and confirms, and leadership has the report before morning.
The agent tracks inspection deadlines, operating hours and maintenance cycles, warns in advance about an upcoming inspection, and prepares the work order and the parts list. Instead of unplanned shutdowns, you schedule service when it suits you — and the spare part is ordered in time.
The agent gathers calibration certificates, safety data sheets, inspection reports and training records and assembles them into a single control folder according to the standard's requirements. Preparing for an audit or inspection shrinks from two days to a morning, and nothing is missing.
The agent continuously evaluates measurements, scrap rates and energy consumption and alerts you when a value drifts from normal or consumption starts climbing. You see the problem the moment it arises, not in the monthly report — and the energy saved and scrap avoided go straight to the bottom line.
The agent finds the valid version of a process procedure or instruction, oversees the approval, and propagates a change everywhere the document is used. The process engineer and the operator no longer search five versions for the one they should be following.
We don't start with a tool, but with your operations. The same loop as with every company — just tailored to your industry.
We map your data flows, reporting and operational routines live. We find where AI pays off the most.
Operations and back-office learn AI on their real tasks — the flipped-classroom way.
We deploy agents for reports, data analysis, documentation and compliance — connected to your systems.
We'll show you specifically what AI takes over at your company and what difference it makes — what AI takes over at your company and what difference it makes.
Price quotes and budgets, subcontractor RFQs, site logs and reports — AI agents take over the routine, you build. Picture how your firm runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Toggle and compare: same operations, a different day.
An RFQ comes in the morning, and by evening someone has to click through it, dig up a similar old project, pull the prices and throw a quote together in Excel — and by then a competitor has replied twice. The bill of quantities gets retyped by hand from the drawings, numbers get mixed up between versions and no one is sure whether they're costing against the latest one. The site manager writes the log in the evening from memory and from phone photos, subcontractor invoices sit around in email and on paper, and invoicing stalls because by the time you've matched what was actually built on site, half the month is gone. Price quotes wait on the estimator, the estimator waits on inputs from subcontractors, the subcontractor never got back to you — and meanwhile a change is being handled on site that no one wrote down and no one remembers at invoicing time. The owner knows that feeling of sitting over budgets in the evening instead of running the firm, knowing that every day lost on a quote is a job someone else won.
With Enter, the quote no longer waits for the estimator to have a free evening — the agent extracts the project, builds the bill of quantities and pre-fills the costing based on your old jobs, and you just decide on the price and the margin. The site log, invoices and on-site changes are held together in one place in Microsoft, so nothing falls through the cracks and you invoice based on what was actually built. Your people spend their time on site and with the customer, not retyping numbers between Excel versions.
The agent extracts the RFQ and the project documentation, finds a similar old job and pre-fills a price quote broken down into line items. You review it and decide on the margin instead of building it from scratch — and you reply before the competition.
The agent reads the project and the drawings, totals the quantities and pulls items into a structured bill, instead of retyping and tallying by hand in Excel. It saves the estimator hours on every job and cuts the risk of a zero going missing somewhere.
The agent sends out RFQs to subcontractors based on the budget line items, tracks who replied and who didn't, and lines the bids up in one clear table. You see the price differences at a glance and pick, instead of chasing emails.
The agent assembles the daily entry from photos, messages from the crew and attendance, and pre-fills a log the site manager simply confirms. No more evening writing from memory — and in a complaint or dispute you have a documented record of what happened on site and when.
The agent matches completed work and incoming subcontractor invoices against the budget and flags changes and extra work that would otherwise be forgotten. You invoice faster and precisely for what was built — money doesn't stay stuck on site.
We don't start with a tool, we start with your operations. The same loop as every firm — just tailored to your sector.
We map your pricing, RFQs and logs across jobs in real time. We find where AI pays off the most.
Your team and back office learn AI on their real tasks — flipped-classroom style.
We deploy agents on quotes, logs, tracking and communication — connected to your systems.
We'll show you concretely what AI takes over at your firm and the difference it makes — what AI takes over at your firm and the difference it makes.
Request intake, cleaning and maintenance scheduling, technician dispatch, work logs and invoicing — AI agents take over the routine. Picture how your company runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Toggle and compare: same operations, a different day.
A day at a facility company kicks off with a phone call: a burst pipe, the hall lights are out, the elevator is down. The dispatcher taps the call into a spreadsheet or onto a sticky note, then rings around the technicians to find out who's free and who's closest. Requests come in by email, WhatsApp, phone and at reception — and then it's a hunt to figure out whether anyone has even picked it up, or whether it slipped through the cracks. In the evening the technician hand-writes a work log, mostly from memory and with times guessed too, so invoicing goes out a week late and part of the work done never gets billed at all. The SLA on paper promises a four-hour response, but nobody tracks in real time whether you're meeting it until a furious client shows up. And regular service and inspections get scheduled by whoever happens to remember, not by when they're actually due.
With Enter, dispatch stops depending on who remembers what and who happens to pick up the phone. Requests land in one place, sort themselves by priority and SLA, and technicians get a clear assignment instead of back-and-forth. You see in real time what's on fire, what's on track and what's ready to invoice — and you decide based on data, not on the last angry phone call.
The agent extracts the request from email, phone or form, works out what it's about and how urgent it is, and creates the job in the system. Nothing falls through the cracks and the dispatcher doesn't manually retype what someone dictated.
The agent proposes which technician is closest, free and has the right qualification, and builds the day's route. The dispatcher just confirms or reshuffles — instead of half an hour on the phone, the plan is ready in a few seconds.
The agent tracks every job against the agreed response time and flags it in time, before the deadline starts to burn. You stop paying penalties for missed SLAs and the client doesn't find out before you do.
The technician dictates or photographs what they did, and the agent turns it into a clean work log with times and materials. No more evenings spent writing it up and no work done that gets forgotten on the invoice.
The agent matches logs, materials and contract rates and prepares the invoicing basis right after the job is done. Invoices go out in a few days instead of three weeks and the money hits your account sooner.
We don't start with a tool, we start with your operation. The same loop as for every company — just tailored to your sector.
We map request intake, scheduling and dispatch live. We find where AI earns the most.
Technicians and back-office learn AI on their real tasks — flipped-classroom style.
We deploy agents for request intake, scheduling, dispatch and communication — connected to your systems.
We'll show you concretely what AI takes over at your company and what difference it makes — what AI takes over at your company and what difference it makes.
Unified branch communication, onboarding, orders, reports and quality standards — AI agents take over the routine. Picture how your network runs today — and how it runs after deploying Enter.
Built on Microsoft Copilot + Anthropic Claude · Microsoft Solutions Partner
Toggle and compare: same operations, a different day.
HQ keeps solving the same things over and over. Branches fire questions at five channels at once — Teams, email, phone, WhatsApp from managers — and the same thing often gets answered again and again, because no one remembers where the valid version of the manual is. Orders from branches come in different formats, someone retypes them into the system by hand and spends the evening tracking down who forgot to order. The weekly network report takes half a day to assemble by copying numbers from branches into a single Excel file, and by the time it's done the data is already stale. Brand standards are checked at random during site visits, so a violation at a branch is often spotted only a month later. And a new branch ramps up slowly, because onboarding depends on an experienced colleague finding time for everything.
With Enter, HQ stops firefighting the same things over and over and gets back to what grows the network — to branch managers, to their numbers and to expansion. Agents take over the routine around orders, questions and reports; your people keep the standard and the decisions. Branches get a fast, consistent answer; HQ gets a real-time overview.
The agent knows the current version of manuals, price lists and procedures and answers a branch manager within seconds — in Teams or email, always from the valid version. HQ stops dealing with the same questions over and over and saves hours every day.
The agent extracts orders from branches regardless of format, compares them against the usual volume and flags when someone forgot or ordered outside the standard. No more manual retyping and evening hunts for missing orders.
The agent gathers numbers from all branches and prepares a report for the whole network in the morning — revenue, branch comparisons, deviations. You look at a finished overview instead of half a day of copying into Excel.
The agent compares what's happening at branches against brand standards — product range, prices, promotions, opening hours — and flags any deviation right away, not at the next site visit. The brand keeps one consistent face across the network.
The agent guides a new branch through launch step by step, answers questions from the manual and makes sure nothing slips through. The new branch comes online faster and doesn't tie up your experienced people.
We don't start with a tool, but with your operations. The same loop as with every company — just tailored to a franchise.
We map branch communication, orders and standards live. We find where AI pays off the most.
Operations and back-office learn AI on their real tasks — flipped-classroom style.
We deploy agents on communication, orders, reports and standards — connected to your systems.
We'll show you concretely what AI takes over at your company and what difference it makes — what AI takes over at your company and what difference it makes.
30 minutes. We’ll show you where AI saves the most time at your company — and how to roll it out from mapping to agents.
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