Platform model
The stack small teams do not want to own.
The product is intentionally shaped around the pieces that make recurring work trustworthy after the first demo works once.
01
Context layer
The business memory: briefs, decisions, notes, documents, and structured connector data organized into a workspace-scoped context AI can actually use.
- Workspace briefs and decisions
- Documents and structured sources
- Read/write memory across runs
02
Workflow hosting layer
Where the recurring work runs: schedules, events, retries, logs, status tracking, approvals, and output delivery.
- Schedules and events
- Retries, logs, and run status
- Human review when needed
03
Interaction layer
The surfaces humans and AI tools touch: chat, dashboard cards, approval inbox, and notification channels like email and Slack.
- Chat-to-workflow path
- Dashboard cards
- Approval inbox and notifications
The wedge UX
Save this chat as a workflow.
Buyers discover useful recurring work mid-conversation. Clearfraim turns that moment into a hosted workflow with a trigger, retrieval step, execution path, approval state, and output destination.
Start with the recurring work.
If the job has to happen again next week, the question is not only prompt quality. It is where the context lives and who keeps the run alive.