AI researches
A human verifies sources, interprets context and decides what matters.
C.I.S. AI Capability System
Don’t start with AI.
Start with the problem.
Identify where AI could create useful capacity, what must remain human and which foundations need attention before implementation.
Begin with context
What kind of work are you trying to strengthen?
Your context changes what counts as useful, responsible and proportionate.
Human Intelligence Gates
AI may extend capacity. People retain responsibility.
Every proposed use should state where machine assistance stops and accountable human judgement begins.
AI organises
A human checks omissions, framing, permissions and cultural meaning.
AI recommends
An authorised person examines the evidence and makes the decision.
AI drafts or acts
A named owner reviews the output, consequences and exception route.
C.I.S. 90-Day AI Intelligence Roadmap
Prove. Build. Embed.
Prove
Clarify the problem, establish boundaries and test the highest-value assumption.
Build
Develop the smallest useful workflow, knowledge structure and human review process.
Embed
Review evidence, strengthen governance, build capability and decide what should scale.
Companion long-form insight
AI readiness is really about organisational intelligence.
Go deeper into the evidence, principles and practical decisions behind the diagnostic—from Human Intelligence Gates and workforce capability to knowledge readiness, cultural context and the smallest useful AI intervention.
Read Don’t Start With AI: Start With the Problem ↗A proportionate service ladder
Begin with the smallest step that can improve the decision.
The right route depends on the problem, evidence, risk and organisational capacity. A diagnostic should not automatically become an implementation project.
Free AI Readiness Diagnostic
A preliminary view across six readiness dimensions.
AI Opportunity & Readiness Review
A human-reviewed assessment of priorities, evidence, risks and responsible starting points.
Discuss this review ↗AI Intelligence Accelerator
A focused engagement to test one valuable, bounded AI opportunity.
90-Day AI Intelligence Roadmap
A proportionate route to prove, build and embed capability.
Knowledge Base & Agent Development
Reliable organisational knowledge and role-specific AI support.
Workflow Implementation
Governed integration into real work, with checks and ownership.
AI Intelligence Partnership
Ongoing research, improvement, governance and strategic support.
Boundaries and safeguards
Decision support is not automatic authority to deploy.
CIS helps organisations clarify purpose, readiness, human value, cultural consequences and proportionate tests. Final responsibility remains with the organisation and its authorised decision-makers.
- CIS does not provide legal, employment or data-protection advice.
- A review is not cybersecurity assurance, certification or technical approval.
- A readiness score is preliminary and cannot verify the quality of undisclosed systems, data or controls.
- Consequential decisions require named human owners, escalation routes and review points.
- Qualified legal, data-protection, employment or cybersecurity specialists should be used where the decision requires them.