Each module handles its own task, and you can ask questions in Teams, Slack or whatever collaboration tool you use. But the biggest gains lie in the connections between them: something that happens in one module becomes action in the next, without anyone re-entering it.
Before the modules: this is what we actually use to make it work. There are two parts. One lets the agent do things. The other stops it from doing too much. Everything else on this page rests on these two.
MCP is an open standard for how an AI agent reaches into a system. Every module has such an interface, and it is the same connection that both reads status and performs actions. That is why you can ask about anything from Teams or Slack, through Microsoft Copilot, Claude or ChatGPT, without opening the tool. And that is why every integration we build is also something you can ask about.
Beneath MCP lies the foundation, and it is the same one under every module. It does three things: the agent can never do more than the person asking is allowed to, nothing is changed before a human has said yes, and everything that happens can be traced back. The rules are enforced by the system. They are not left to an instruction the language model can choose to follow.
The agent inherits your permissions and can never get more. If two people ask the same thing, they each get their own answer, from the same agent.
The agent prepares and proposes. An account, an invoice or an access right is only changed once a human has confirmed it, and the action is performed as you.
Every question and every action is logged with the same trace through the whole process, from the moment the question was asked to the moment the action was carried out.
The foundation is not rebuilt for every module. That is why a new module is faster and cheaper than the last one, and why the connections between them can be set up without new construction.
Each module does its own job. What separates a unified platform from four disconnected tools is that the links connect: what happens in one system automatically becomes action in the next, with no one entering anything in between. A won deal becomes a customer, a project and a billing basis. A new hire becomes an account, a license and access from day one. An end date closes everything the same day. The whole lifecycle, from sale to delivery, runs on the same ground.
Sales, contract, finance, hiring and access are linked like a chain, so no one enters the same thing twice and nothing falls between two systems.
The modules are reached the same way, so you can ask across them: a question that used to require three logins is now answered in a single message.
The same access limits, the same confirmation before anything changes, and the same log apply to everything. That makes audits simple, because the whole house stands on one foundation.
A new module is placed on the foundation that already stands, instead of being built from scratch. That makes the next module cheaper, and the whole better.
Ask about pipeline, expected revenue and due dates in Teams or Slack, and let a won deal become a customer and billing basis once you have confirmed. Accounting and sales answer in the same thread.
Ask: which won deals have not been invoiced?Sales to invoice. Together with Finance, won sales become customer, project and billing basis on their own. Without Finance, they still have to be entered manually.
Ask about invoicing, hours against budget and due dates in Teams or Slack, without opening the accounting system. Invoice drafts and bookings are prepared, but only booked once a human confirms.
Ask: which projects are over budget?Sales to invoice, and cost that follows staffing. With CRM, sales become invoices. With On- and offboarding, the license cost follows actual staffing.
Ask about active accounts and licenses in Teams or Slack, and close an access once you have confirmed. The HR system decides who comes and goes, and the access follows by itself.
Ask: does anyone who has left still have access?Hiring to access, and cost that follows staffing. With Recruit, a signed contract gives account and access on day one. With Finance, an end date frees the license, and the cost sees it.
Ask about the status of the recruitment process in Teams or Slack, and get drafts of positions made. The agents prepare and inform, the human decides.
Ask: how are we doing on the position?Hiring to access. Together with On- and offboarding, a signed contract gives account, license and access from day one. Without it, the process stops at the signature.
The foundation owns no business logic, it owns the security the agents must pass through. It is included under every module, and that is why the portfolio can grow without being rebuilt for every customer.
We set up a pilot on the module that is most urgent, on one system and a contained scope, so you see the value before you connect the rest.
Get in touch for a walkthroughWhen a deal is marked as won and the contract is signed, the customer, the project and the billing basis are created in the finance system by themselves, exactly once, without anyone re-entering them. The CRM owns the sale, the finance system owns the money, and the foundation carries the message between them.
A deal is marked as won in the CRM. Then the double work begins: someone recreates the customer in the accounting system, sets up the project by hand and builds the billing basis from a quote in another system. The contract gets signed, but the word of it does not always reach the people who should invoice.
The result is familiar: customers that exist in two variants with different spellings, projects that do not match between sales and accounting, and invoices sitting and waiting because no one knew the basis was ready. The pipeline number and what has actually been invoiced live in separate worlds.
Neither system loses its role. The CRM owns the pipeline and the deal, the finance system owns the customer, the project and the invoice. What the foundation does is carry the message between them: when a deal is marked as won and the contract is signed, the customer is created or updated, the project is set up and the billing basis is made ready. It happens exactly once. If the network fails and the message is sent again, the customer is still not created twice.
When sales and finance are linked in the same chain, you can ask across them where you already work, in Teams or Slack, through Microsoft Copilot, Claude or ChatGPT. The question that used to require someone to open both the CRM and the accounting system and compare them is now answered in the thread.
Both the CRM and the finance system are reached through MCP. Because both are reached the same way, the agent can read pipeline and invoice status and give you both in one and the same answer.
It never sees more than you are allowed to see yourself in each system. It never creates a customer, a project or an invoice without you saying yes first. And the whole process is logged, from the question being asked to the action being carried out.
Other cross-system questions the agent answers:
Teams · Slack · Microsoft Copilot · Claude · ChatGPT
Where both systems have an open API, we connect them directly. The CRM side can be one of the common sales systems, and the finance side one of the common accounting and business systems. The signed contract becomes the event that triggers the transfer, through the e-signature solution you already use. The rules for what gets created, and when, are set together with you, so the connection mirrors your actual sales and invoicing process.
With this link in place, a deal goes all the way without manual jumps: the sale is won in the CRM, the contract is signed, the customer and project land in the finance system, and the project can be staffed through the same agents that are already standing. Sales was the open end. Now pipeline, contract, finance and delivery are connected on the same ground, and you can ask about the whole flow from one place.
We connect the CRM, the signing and the finance system on one contained flow, so you see a won deal become customer, project and billing basis before you expand to the rest.
Get in touch for a walkthroughAn agent that connects the finance system to the same foundation as the rest of the operation, so you can ask about invoicing, hours against budget and due dates where you already work, and get the answer without logging in.
The finance system keeps track of every invoice, every hour and every project. Yet the answer to a simple question is often a detour: someone has to log in, find the right report, filter it and paste the result into an email, and in the meantime a manager has made a decision on gut feeling because the number was not available in time.
The controller becomes the bottleneck for questions others should be able to ask themselves. A project manager wondering whether hours are blowing the budget, a department head who wants to know what has been invoiced, a CEO who wants to see overdue invoices, they all go through one person and one tool.
The accounting is up to date. The distance to it is the problem.
We connect your finance system to an agent standing on our foundation. The system still owns every single number: bookkeeping, hours and invoices stay where they always have, and the agent creates no version of truth of its own. It retrieves, it assembles, and if it is to write anything back, it waits for a human.
The agent reaches the system through MCP, the same standardized set of hands that the rest of the platform uses. Reading is broad and fast, writing is scoped and confirmed, and everything goes through the same ground with access limits and a log.
The point of connecting the finance system is not the integration itself, but that a question about finance can be asked and answered where you already work, in Teams or Slack, through Microsoft Copilot, Claude or ChatGPT. You do not open the accounting system, you ask about it, and the answer comes in the same thread.
The agent reaches the finance system through MCP, the same way the rest of the platform reaches its systems. The same connection that lets the agent look up an invoice also lets it answer when you ask about one.
Two things are fixed in the foundation: the agent never sees more of the finances than you are allowed to see yourself, and it never books, invoices or changes anything without a human confirming it first. Everything is logged.
Other questions the agent answers without you opening a tool:
Teams · Slack · Microsoft Copilot · Claude · ChatGPT
Financial figures are not one room everyone should enter. A controller sees the whole picture, a project manager sees their project, a department head sees their department. The agent inherits the same limit. It combines what it can do itself with what you are allowed to see, and never answers more than you would have seen by logging in yourself. If two people ask the same question, they each get their own answer, from the same agent.
Where the system has an open API, we connect the agent directly. That applies to most modern Norwegian accounting and business systems. For systems without a suitable interface, we build a scoped layer on the same ground, so the chain is the same regardless of where the numbers live. The rules for what the agent may read and write are set together with you.
Once identity and access are in place, the foundation stands: the HR system decides who exists, the foundation enforces what they are allowed to do, and the agents answer in Teams or Slack. Finance is the natural next link, because it meets the same foundation and the same security, and because the numbers are connected to the projects, the hours and the people already wired in. You add one system, not a new platform.
We connect one finance system and a contained set of questions, so you get a feel for what it is like to get the answer in Teams or Slack before you expand.
Get in touch for a walkthroughTwo agents that turn changes in the HR system into real access: account, tools and licenses set up when someone starts, and closed the same day someone leaves. Whoever it concerns, and whatever the HR tool.
When someone is hired, IT has to create an account, assign the right license and set up access. It often takes several days, and the new hire sits ready on their first day without being able to get into the systems.
When someone leaves, offboarding is the task that is most easily forgotten. The result is orphaned accounts that still have access to customer, personal and financial data, a security risk, a finding in any audit, and a license still being paid for someone who has left.
HR always knows first. Yet it is IT that carries out the changes manually, usually via email and tickets, and between the two links delays and errors arise.
We connect your HR system to Entra ID through an agent standing on our foundation. The agent reaches the systems through MCP, a standardized connection that makes changes and retrieves answers the same way every time. The rules for who gets which access lie in the foundation, beneath the language model. They are enforced by the system, not left to an instruction the model can choose to follow. That is what lets the lifecycle run by itself without anyone losing sleep.
When HR registers a new employee, the agent creates the identity in Entra, assigns the right license and sets up access based on role and department. The employee is productive from day one, without waiting for IT. It applies to everyone new in the HR system, not just those who came in through recruitment.
When someone is registered as having left, the agent revokes access and frees the license the same day. No orphaned accounts, no lingering access to production or finance systems, and everything documented for audit.
The same connection that lets the agent create an account or close an access is also one you can ask questions through. The point of building this is not the integration itself. The point is that you can ask about something and get an answer, without logging into Entra, without opening the HR system and without sending a ticket to IT.
The agent reaches the systems through MCP. These are the same connections that both make changes and retrieve answers, and so every integration we build is also something you can ask about.
Everything goes through the foundation. The agent never sees more than you are allowed to see yourself, it never changes anything without a human confirming, and every answer and every action ends up in the same log.
You do not need to learn a new tool for this. You ask where you already work, in Teams or Slack, through Microsoft Copilot, Claude or ChatGPT, and get the answer in the same thread.
Teams · Slack · Microsoft Copilot · Claude · ChatGPT
Some HR systems can create users in Entra ID on their own, and are connected directly. For the others we build a scoped layer that does that job, on the same foundation. The rules are built together with you, so they reflect your actual obligations, not a generic template.
SkyeTec manages the Microsoft licenses on your behalf and scales the number in step with your staffing. The price runs per license, with both the license and the agent included. The only things you choose are the HR tool and the number of licenses.
We set up a pilot on one HR system and a scoped number of licenses, so you see on- and offboarding run by itself before you scale.
Get in touch for a walkthroughA recruitment solution where the agents read, assess and prepare, the human decides, and everything connects to the HR system, the identity and the signing you already have. And where you can ask about status where you work, without opening the tool.
Recruitment drowns in manual work. Applications pile up while someone reads them one by one, the assessment becomes subjective and hard to verify, and the status of a candidate is scattered across inboxes and heads.
After signing, a new race begins: account, work email and HR profile must be in place before day one, often manually, often too late. And when the process is over, the deletion deadlines for personal data become the task that never gets done, until it turns up as a finding in the audit.
The recruitment solution stands on the same foundation as the rest of the platform. The agents reach the systems through MCP, the same standardized connection that both retrieves status and performs actions. Reading is open to agents that are approved. Changing anything requires a logged-in human, and every step is logged. One rule is never moved: decisions about people are made by people, as regulation requires.
The agent reads the CV and application, extracts structured facts and calculates a score against the role's requirement profile, before the candidate has closed the confirmation page. The recruiter starts from insight.
Measured at ours: 9 seconds from submission to scoreThe agent extracts the facts, while the scores themselves are calculated by fixed rules you can read. The same CV gives the same score every time, and it is always possible to see which version of the rules was used. Personal data is removed before the text is sent to the language model.
The candidate card always shows one clear next step: interview guides built on the candidate's actual strengths and gaps, structured feedback, comparison in the same chart and a print-ready assessment report for the decision meeting.
The contract goes to digital signing before anything else happens. Only when the candidate has actually signed are the user account, work email and HR profile created, automatically through the same chain. No half-finished identities for those who decline.
The deletion deadline is set the moment the application is received and adjusted at every status change, with a warning before deletion and anonymization on hire. Cleanup is a property of the system, not an annual volunteer effort.
Recruitment does not only happen inside the tool. Because the solution has an MCP interface, it can be run from where the work otherwise takes place: in Teams or Slack, through Microsoft Copilot, Claude or ChatGPT. A manager asks about status and gets the answer in the thread, without logging into the recruitment tool.
The same connection that lets the agent follow a recruitment process also lets it answer when you ask about it. Reading status is open to agents that are approved, and the status fetches itself.
It cannot change anything without a logged-in human approving it, and it has exactly the same access as you do when you log in yourself. It never sees personal data it does not need, and every single action is logged with who, what and when.
Teams · Slack · Microsoft Copilot · Claude · ChatGPT
The solution adapts to the systems you already have: your HR system, your identity platform, your signing provider and your career pages. Each connection can be swapped out or turned off without affecting the rest. If a system is missing, that part of the flow falls back to the usual manual routine instead of stopping completely.
An application from the career page enters the recruitment flow, and from there the parts play together. If the message only needs to go to one system, it goes straight there. If it needs to go to several, it goes through a common backbone, so there is one place that knows what actually happened. The signature is the moment that triggers the account being created.
Direct connections are only used when the message goes to one system. Everything that goes to several passes through the common backbone, so there is one place that knows what happened.
A signed contract creates the account once. If the network fails and the message is sent again, it is still not created twice.
Each connection can be switched on and off without touching the code. If a system is missing, that part falls back to the usual manual routine instead of stopping.
The system has an MCP interface with modern sign-on. AI assistants can read status and perform scoped actions, with exactly the same access and the same log that the humans have.
The solution is not a demo. It runs in production on SkyeTec's own hires, built with the same method and architecture we deliver to customers. We know it works, because we recruit with it ourselves, and because it went from first line of code to production in weeks.
We connect the career page, the HR system and the signing on one scoped flow, so you see an application go all the way to a prepared workplace before you scale.
Get in touch for a walkthrough