Enterprise AI
that works
Most enterprise AI never makes it past the pilot. Agents drift, knowledge goes stale, the ROI never lands.
GenOS is the operating system built to deploy AI into real workflows, govern it end to end, and keep it improving after go-live.
Technology partners
Trusted by leading enterprises
The operating system for enterprise AI
Three solutions. One platform. Built where your work lives. Unlimited customization.
GenOS gives you the surfaces and the intelligence your workforce and customers actually use and the control plane that keeps every agent governed, monitored, and improving.
Assistant
The workspace where your employees use agents to access company knowledge and enterprise tools. Multi-LLM access, no lock-in to any single model provider.
Learn more →Service
AI that handles customer conversations on any channel. Grounded in your knowledge, integrated with your systems, and built to escalate cleanly when human judgment is required.
Learn more →Supervisor
Workflow automation with a human in the loop. AI processes the volume through deterministic pipelines built alongside your team. Operators step in only at the decision points that matter, with full auditability on every action.
Learn more →Platform
Enterprises need control before they trust. GenOS is the only enterprise AI platform built so the control plane is the spine, not a settings page.
Govern
SSO, granular RBAC, per-agent tool policy, audit log on every action. Cloud-hosted, BYOC, or on-premise.
Monitor
Usage analytics, retrieval quality visibility, knowledge audit. See where AI is paying off and where it is failing.
Guide
Knowledge management, source configuration, test conversations. Shape behaviour before it ships.
Improve
Human review, automated evaluations, feedback loops. The system gets better from real usage, not just config.
Integrations
Connecting how you work
GenOS connects to any knowledge source, any system, and any MCP — if it has an API or a connector, our FDE wires it up.
Knowledge Sources
SharePointTools & MCPs
M365We deploy our engineers alongside our software.
Every GenOS engagement puts a Forward Deployed Engineer working alongside your team — mapping real workflows, integrating the systems that matter, and configuring agents against your actual knowledge.
Not a support queue. One person who owns your deployment and knows it end to end.
We sit with your team before writing code. Agents are built around how your people actually work.
When something fails, the engineer who built it diagnoses and fixes it — not a generic support team.
Usage data, human review loops, and regular improvement cycles are part of the engagement, not an add-on.
Success Stories
Deployments that did not stay pilots.
of all inbound customer contacts handled end-to-end by AI
Chat NOS is live in production across billing, technical support, and account queries. Human agents receive only complex escalations — with full conversation context and suggested next steps pre-loaded. Additional workstreams run across invoice processing, fraud detection, and second-line case management.
Read story
cost reduction vs their previous GPT Enterprise rollout
SierraGIA gives every employee across 12 countries a single workspace to query internal knowledge, run compliance checks, and get cited answers from the documentation that governs their work — without switching tools or waiting for IT.
Read story
of distributor orders processed straight into SAP without human intervention
GenOS Supervisor reads incoming orders from email, extracts and validates line items against the SAP catalogue, and posts confirmed orders automatically. Human reviewers handle only the 5% that fall outside normal parameters — every exception arrives with full context and a suggested resolution.
Read storyWhy GenOS?
Governance is the wedge, not an afterthought.
Enterprise ready by design
Enterprise AI needs more than a chat interface. Once AI interacts with company knowledge, systems, and tools, organizations need a way to govern, monitor, and improve how it behaves in production. That is the role of GenOS.
Agents only access data users are already permitted to see. Company data stays within the deployment environment — cloud-hosted, BYOC, or on-premise depending on compliance requirements. AI model providers do not train on enterprise data by default.
Expert-built intelligence that adapts to your organization
GenOS works as a deployment partner — not a software vendor. We sit with the customer, map the workflows, build the intelligence layer, and stay engaged as the system improves. If a process needs specific behaviour, we design it. If an integration does not exist out of the box, we build it.
When an agent fails, the failure becomes a closed loop with ownership: diagnose, fix, re-test, re-deploy. That loop is part of the product. It does not exist in a generic or self-serve deployment.
Value that grows as you expand
Unlike single-purpose tools, GenOS becomes more valuable as organizations add new use cases. Every new agent, integration, or workflow runs on the same controlled foundation.
Anthropic, Google, and Microsoft build for people comfortable with technology who set tools up on their own. Most enterprise workforces are not that. A tool handed to people who need a configured workflow is not a deployment — it is a pilot that fades.