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The essentials for controlled AI knowledge

Usable keeps the story simple: store knowledge, control who can use it, and expose it through the right interface, from browser chat to MCP and APIs.

The foundation

Memory you own, governance you set, and retrieval that brings the source back.

Memory

Workspaces for owned knowledge

Separate procedures, decisions, files, and reusable context by organisation, team, customer, project, or public documentation set.

Governance

Access boundaries for sensitive context

Keep knowledge scoped to the people, assistants, and product surfaces that should be allowed to use it.

Retrieval

Search that brings back the source

Find relevant knowledge and fetch the full context before an assistant answers, writes, or helps with work.

Every interface reaches the right workspace

The knowledge stays governed in Usable. Each interface retrieves only the context permitted for that person, customer, developer, or workflow.

Knowledge base

Usable

A governed home for fragments, files, collections, workspaces, roles, and approved AI access.

Assistant

Usable Chat

A browser chat and embeddable assistant that answers from selected Usable workspaces.

Integrations

Connected tools

Developers can connect compatible AI tools through MCP and build internal workflows with the API.

Controls that matter

Enough structure for serious use, with deeper controls available for technical teams.

Structure

Fragments, files, and collections

Capture knowledge as reusable source material, then group it so teams and assistants know what they are using.

Privacy

Path-specific AI privacy controls

Selected AI request paths use supported providers and configurations designed for zero retention. Retention depends on the chosen feature, provider, and deployment.

Traceability

Flowcore foundation

Encrypted storage, access control, event logging, and traceable changes support organisational use.

Workflow

Solution writeback

Capture solved problems, standards, runbooks, and implementation lessons so future AI-assisted work starts with context.

Technical access when needed

Keep the buyer story simple. Give builders and platform teams the paths they need.

1

Usable Chat

Use browser chat or embeds when people need direct answers from selected workspaces.

2

MCP

Connect compatible AI tools when technical teams want memory inside their existing workflow.

3

API

Build internal workflows and product experiences on top of approved organisational memory.

4

Flowcore events

Use the Flowcore-backed event trail and transformer model when teams need production-grade data flow and traceability.