Your data is protected.
AI only reaches what you allow. GenOS signs people in through your identity provider, checks every permission and keeps your data in the cloud you choose.
The platform that keeps enterprise AI running.
GenOS is the platform under every solution we build. It connects your knowledge and systems, runs your agents and workflows, and shows you how each one performs after go-live.
For AI to scale in an enterprise, four things have to be true.
You understand what your AI does.
You cannot scale what you cannot see. Every answer, action and model call is on the record, and analytics show what works and what fails.
You have full control.
Agents act on their own only where you allow it. Approvals, exceptions and anything unusual go to a person first, and every correction makes the agent better.
You iterate and improve.
Go-live is the start. Tests, expert reviews and issues turn each mistake into a fix, so quality rises with use.
- 01 · Govern
Your data is protected.
- 02 · Monitor
You understand what your AI does.
- 03 · Guide
You have full control.
- 04 · Improve
You iterate and improve.
Control layerE EmployeeC CustomerW Workflow01Govern
- Permissions and accessSign-in and granular permissions: who can use what, per user and role.ECW
- Activity logEvery agent decision, operator action and status change, on the record.ECW
02Monitor
- AnalyticsUsage, adoption, resolution and escalation rates.ECW
- TopicsRecurring themes, found in conversation history.ECW
- Knowledge auditGaps and stale content, found from what agents fail to retrieve.ECW
03Guide
- Knowledge managementFiles, web pages and synced sources such as SharePoint, Google Drive and Notion.ECW
- Test conversationsSet prompts run against an agent before and after a change.ECW
04Improve
- Human reviewReviewers rate and annotate conversations.ECW
- IssuesIn buildHallucinations, missed retrievals and rule breaks, flagged and tracked.ECW
- Automated testingIn buildQuality checks against set evaluation criteria.ECW
The groundwork is done. Your first agent goes live on a platform that is ready for production.
Interfaces
The ways in for the people and systems that use your AI.Employees · Customers · Workflows · Custom
Employee interface
Assistant
One assistant for the whole company, with an agent for each team. It answers from your own documents, links every source and uses your tools.
- Answers that link to their sources
- Knowledge synced from SharePoint and Google Drive
- Agents per team, each with its own access
- Adoption and usage analytics
Customer interface
Service
An agent that answers your customers on your own channels. It hands the conversation to a person when it needs to.
- Answers from approved knowledge only
- Topic trends across every conversation
- Handover to a person on hard cases
- Review queues for quality
Workflow interface
Supervisor
Workflows that process documents and cases at volume. Most run end to end. Your operators handle the exceptions.
- Extraction, checks and business rules
- Posting into your ERP and core systems
- One inbox for the cases that need a person
- Approvals in several tiers
Integrations
Connects to the knowledge and tools your teams already use.SharePoint · SAP · Salesforce · Any APIConnects to the systems you already run. Nothing to migrate first.
Knowledge sources
Agents answer from your documents where they live, and keep each person's access rights.
SharePoint
Google Drive
Notion
Confluence
Dropbox
Tools and MCPs
Agents act in the systems your teams use, under the tool policy you set for each one.
Gmail
Google Calendar
Microsoft 365
SAP
Salesforce
Any MCP or API If a connector does not exist yet, our engineers build it for you.
Forward-deployed engineering
Our engineers build your solution with your teams, then stay to run it.Engineers · Platform · Your teamsBuilt for you, by engineers inside your teams. From the same modules every time.
GenOS is not one product with fixed screens. It is a set of modules we put together for each client, so one company can run several interfaces, each with its own agents, all on one control plane.
- PickThe interfaces you needEmployee, customer or workflow, one or all three
- AddThe agents for each jobBuilt around your process by our engineers
- ConnectThe systems you runKnowledge, tools and any API
- RunOn one control planeGoverned, monitored and improved in one place
Forward-deployed engineersOur engineers work inside your teams.
They learn the process first, then build your agents and workflows on GenOS.
PlatformEvery build reuses the same foundation.
Governance, knowledge and monitoring are already in place, so each new use case goes live faster than the last.
Your teamsYour people stay in charge.
They use the tools every day, review the results and decide where AI acts on its own.
Questions.
Talk to usWhere does GenOS run?
In our cloud, in your own cloud account or on your servers. Your data stays inside the perimeter you choose.
Which AI models does it use?
GenOS works with models from several providers, including Claude, GPT, Gemini, Mistral and Llama. We choose the model for each use case with you.
How do people sign in?
Through your own identity provider, such as Microsoft Entra ID. You set permissions per user and per role.
What happens to personal data in conversations?
You set a retention window. After it, GenOS removes conversation content and personal data, and keeps the statistics.
Can we buy GenOS without your engineers?
GenOS comes with our forward-deployed engineers. They build your solutions on the platform with your teams, then stay to run and improve them.
Can I see it working?
Yes. Ask us for a demo and we show GenOS on a use case close to yours.
See GenOS on a problem of yours.
Bring us one process or one team. We show you how it runs on GenOS, and what it takes to get it into production.
- 01A demo on a use case close to yours
- 02The systems and data it needs
- 03A clear plan for the first build