AI systems for defined business tasks
Use agents, voice, automation and internal knowledge where they have clear inputs, permissions and human escalation.
Choose the capability closest to the work
Only routes that have passed the current publication gates appear here.
AI consulting and strategy
Turn a broad AI ambition into a prioritised map of tasks, risks and evidence needed before investment.
AI automation
Use models inside controlled workflows where classification, extraction or drafting benefits from judgement.
AI agents
Design agent-like workflows around explicit tools, permissions, plans and per-action verification.
RAG and knowledge systems
Connect questions to permissioned sources with citations, access rules and honest no-answer behaviour.
Use AI for a defined task—not as a substitute for ownership.
The useful question is what a person needs help deciding, preparing, routing or checking inside an existing process.
Decision boundary: A convincing model response is not evidence, permission or an action. Keep the source, evaluation rule and accountable person visible.
- 01Find or organise opportunities
Use a bounded model task to prepare information for a person who still decides what matters.
- 02Assist a repeatable process
Use AI where inputs, expected outputs and escalation conditions can be tested against representative work.
- 03Research, draft or route under control
Keep source material, review rules and customer-facing approval explicit before any consequential effect.
- 04Answer from approved knowledge
Use retrieval only where the source set, freshness and answer boundary are known.
- 05Test a high-risk assumption first
A prototype should establish the task boundary and failure behaviour before a wider implementation is proposed.
- Capture the event
AI ideas are easy to name but hard to scope around reliable data, authority and evaluation.
- Resolve context
Task → approved context → model response → validation → human decision or bounded action
- Apply the rule
The model must not become the authority for decisions it cannot safely own.
- Human control
A named person reviews ambiguity or consequential action for ai solutions grounded in a real business process.
- Verify the effect
Read back the important state, record exceptions and confirm the next owner.
Describe what happens now. The service label can come later.
The source page and intent remain attached to the request so the first review starts with useful context.
Discuss your AI workflow