Method
Audit → Ingest → Assist → Report → Operate
The goal is not to add AI on top of chaos. The goal is to make the work AI-operable.
- 1
Audit
Map the situation.
Map the organisation's knowledge, workflows, documents, tools, risks and opportunities. Soft Systems thinking, rich pictures, conversations with the people doing the actual work.
Produces
- · Rich picture
- · Knowledge map
- · Risk register
- · Prioritised opportunities
Humans in the loop
Workshops with operators and decision-makers; nothing built yet.
- 2
Ingest
Build a structured knowledge base.
Build a structured, evidence-backed knowledge base from a controlled document set. Define provenance, permissions and update paths from day one.
Produces
- · Ingestion pipeline
- · Document model
- · Permissions schema
Humans in the loop
Source owners curate what goes in; nothing ingested without an owner.
- 3
Assist
Deploy useful assistants.
Deploy assistants that respect sources, context and permissions. Chat is one interface; reports, dashboards, structured drafts and inline tools are others.
Produces
- · Source-backed assistant
- · Inline drafting tools
- · Evaluation harness
Humans in the loop
Every output is traceable; humans approve material decisions.
- 4
Report
Specialist reporting layers.
Create specialist reporting layers for projects, risks, operations, sales, HR, ICT, compliance, finance — whatever the business surface needs.
Produces
- · Reporting templates
- · Scheduled briefings
- · Exception alerts
Humans in the loop
Reports go to named owners with the context they need to act.
- 5
Operate
Make the work AI-operable.
Connect the knowledge system to workflows so it can propose updates, actions, decisions and next steps for human review. The goal is not to add AI on top of chaos — the goal is to make the work AI-operable.
Produces
- · Workflow proposals
- · Action queues
- · Operating dashboards
Humans in the loop
Humans review, approve, override; the system learns from those decisions.