Ask KontextOS what it can do for your organization

Core capabilities

Context boards for real work

Organize initiatives, risks, and decisions into boards where AI can see the same context your team does: objectives, tasks, and supporting documents.

Policy-aware copilots

Blend retrieval-augmented search with guardrails so assistants reference the right training, policies, and reference documents for each situation.

Composable workflows

Use workflow design tools, tasks, and approvals to turn ad‑hoc processes into repeatable flows that keep humans in the loop where it matters.

Courses and intelligence pathways

Author structured training that connects directly to AI-powered assistance, so learning content and day-to-day guidance stay in sync.

Governance and observability

Approval workflows

Route sensitive changes and AI-assisted outputs through configurable approval lanes so managers, compliance, and governance teams stay aligned.

Telemetry and audit trails

Track events, usage, and key decisions with queryable audit trails that help you explain how AI-supported outcomes were reached.

Reference documentation hub

Centralize policies, procedures, and supporting evidence in a reference hub that powers both human search and AI retrieval.

Privacy-aware design

Control how training data and course interactions feed into AI features, with tools to review consent and support regulatory workflows.

Built for multi-team operations

Organizations and teams

Model real-world structures with organizations, teams, and roles so each workspace can reflect how your company actually works.

Flexible licensing and sales tooling

Use subscription plans, reseller tooling, and course-level reporting to support commercial rollouts and internal chargeback models.

Open, extensible architecture

Leverage a Django-based architecture with retrieval-augmented search services so developers can extend or integrate KontextOS with existing systems.

Try KontextOS with your own context

Start a workspace, enroll in a course, and experiment with contextual search and workflows using a small pilot team before rolling out more broadly.