Business context
The work situation, not just a prompt.
Roles, sources, goals, screens, documents, history and limits that AI needs before it can help usefully.
Brevity Wiki
The terms behind controlled AI automation.
Short explanations for teams that want to understand controlled AI workflows, sourcing and workshops clearly.
01 / Context Layer
Context Layer
The context layer connects real work to AI. It does not collect everything, only what a workflow actually needs.
Source map
Which source says what?
A map of the documents, systems, fields and people that matter for a process. Without it, automation stays blind.
Evidence trail
Why did this output happen?
A trace of sources, assumptions and decisions. It helps humans review AI outputs faster and more safely.
02 / Workflow
Workflow Design
Brevity does not automate the entire company at once. The first step is a recurring process with clear inputs, review points and decision criteria.
Pilot workflow
A small process with real value.
A bounded process that can be tested quickly: who uses it, which sources it needs, and what counts as a good result.
Approval point
Where a human decides.
A defined stop before an output takes effect externally, financially, legally or operationally.
No-go action
What AI may never do alone.
Blocked actions: payments, contract commitments, sensitive customer data, final decisions or anything without enough source evidence.
03 / Learning
Workshop, Learn and proof
The workshop clarifies the process. Learn can then keep agreed materials, tasks and proof organized when a project needs it.
Learn access
Keep project materials organized.
When tasks, templates or proof are needed after a workshop, they stay traceable in one place.
Certificate
Proof after Workshop or Learn.
A certificate confirms a completed Brevity path. It does not replace an external standard or professional qualification.
Workshop
Working on the real process together.
A workshop helps teams define use cases, sources, risks, review points and the first pilot clearly.
04 / Governance
Governance
Control is not a brake. It is what makes AI usable in companies: clear limits, logs, roles and honest uncertainty.
Human approval
People stay responsible.
AI can prepare, structure and suggest. For sensitive or consequential steps, a human remains in the decision flow.
Privacy-first
Use only what is needed.
Brevity treats data access sparingly: which source is allowed, which information is necessary, and what must stay out of the workflow?
Operational readiness
Ready means tested.
A feature is only ready when auth, data, email, payments, roles and error states have been checked in the real flow.
Use the wiki as a starting point, not a substitute for analysis.
A good Brevity pilot starts with a real workflow, real sources and clear boundaries. The next step then becomes concrete: pilot, workshop or request.