Context Readiness Assessment

Question 1 of 5

ContextCapture readiness

How much of your organisation's knowledge exists in formats an AI system can actually read?

A Most knowledge is in structured documents — PDFs, Notion, Confluence, Google Docs B A mix of documents, recordings, and verbal knowledge — hard to capture consistently C Most knowledge is verbal, in people's heads, or buried in email and Slack threads D We have tried to document things but it gets outdated faster than we can maintain it

ContextBuilder readiness

When your AI gives a wrong answer about how your company works, what happens?

A We have a process — someone corrects it and the right answer gets documented B The person who knows corrects it verbally — but it does not get captured anywhere C We discover it later, usually when something goes wrong with a customer or workflow D AI answers about internal processes are too unreliable for us to rely on at all

ContextCurator readiness

How do you decide which knowledge is trustworthy enough to feed into your AI systems?

A We have a review and approval workflow — not everything makes it in B We include anything that looks relevant — quality control is mostly post-hoc C We rely on the AI to figure out what to trust from what we give it D We have not thought about this — all our documents go in the same pipeline

Library / retrieval readiness

When someone in your organisation asks an AI system a company-specific question, what happens?

A It returns a correct, sourced answer — we can see where the answer came from B It usually returns something plausible — but we cannot always verify whether it is accurate C It hallucinates — invents plausible-sounding details that turn out to be wrong D We do not rely on AI for company-specific questions — it is too unreliable

CLEngine / agent readiness

How ready is your organisation to let AI agents take actions — not just answer questions?

A We are running agents now — with human review gates and clear audit trails B We are piloting agents in low-stakes areas — but governance is still manual and ad hoc C We want to use agents but are not confident the context feeding them is reliable enough D Autonomous agents are not on our roadmap yet — we are still building basic AI reliability

Score your organisation's AI context readiness.

How much of your organisation's knowledge exists in formats an AI system can actually read?

When your AI gives a wrong answer about how your company works, what happens?

How do you decide which knowledge is trustworthy enough to feed into your AI systems?

When someone in your organisation asks an AI system a company-specific question, what happens?

How ready is your organisation to let AI agents take actions — not just answer questions?