Is Your AI Context-Ready?

Score your organisation across five context layers — identify what your AI can't see before upgrading tools or expanding rollout

Layer 1 Conversational Context — The "Why"

Your AI can access relevant conversation history — not just structured data
Key decisions made in meetings, Slack, or email are captured somewhere searchable
Your AI understands the reasoning behind past decisions, not just the outcomes

Layer 2 Structured Data — The "What"

Your AI is connected to your core business systems (CRM, project management, finance tools)
It can distinguish between current and stale data
Critical business data is not siloed in systems the AI cannot access

Layer 3 Process Context — The "Action"

Your AI understands how work moves through the organisation — approvals, handoffs, status changes
Key processes are documented in a way the AI can parse, not just in people's heads
Exceptions and informal workarounds are captured, not assumed away

Layer 4 Knowledge & Files — The "How"

Your AI has access to relevant documentation, playbooks, and institutional knowledge
That knowledge is current — it's not working from outdated wikis or stale onboarding guides
Expertise that lives in people's heads has been captured in a form the AI can access

Layer 5 Organisational Context — The "Who"

Your AI knows who owns what decisions in your organisation
It can route work to the right person — it doesn't treat the org as a flat list of names
Role changes, reporting lines, and decision authority are kept up to date

Score What your results mean

0–2 layers covered: Your AI is likely frustrating your team more than helping. Before buying new tools, close the context gaps.
3–4 layers covered: Real progress — but the gaps you have are costing you. Prioritise the weakest layer and build from there.
5 layers covered: You're positioned to scale AI effectively. Most organisations aren't here yet.