Observable Intuition.

Map how your employees actually work and make decisions. Use it to deploy AI safely, auditably, and at scale.

Observable Intuition observes how knowledge work actually happens, surfaces the actions and context behind every decision, and provides a continuous map of the organisation showing how and where AI deployment is the safest and has the highest ROI.

Capturing institutional tacit knowledge.

A continuous picture of how your back and mid office actually decide. Used to find where AI belongs, and as context to ground every agent you deploy.

Watch the work

Map every workflow and the deviations from policy that emerge in practice. On-device only. Sensitive data stays local. No IT integration.

Map the reasoning

The reasoning behind every decision: what was read, what was checked, what unwritten rule was applied.

Find where AI fits

Find the workflows that can be reimagined with AI. Prioritise by impact. End the thousand-candidate shortlist.

Run the agents

Agents grounded in what your veterans actually know. We build the harness; you pick the model. No lock-in.

How enterprise AI succeeds in production.

Five reasons enterprises pick Observable Intuition over packaged AI tools and generic consultancies.

01Where AI actually fits, triaged

Where AI actually fits, triaged.

A ranked map of every workflow in your back and mid office: by impact, by risk, by readiness. Not a flat list of automation candidates. Every decision recorded at the level of why; what was read, what was checked, what unwritten rule applied. Not just which button was pressed.

02Tacit knowledge: Keep what makes your organisation special

Tacit knowledge: Keep what makes your organisation special.

All the information that doesn't live in documents and SOPs. The patterns, judgment, and hard-won lessons your senior operators apply, kept current as the work itself evolves.

03No packaged answers

No packaged answers.

Single-function AI tools work for generic problems. The opportunity in your back office is not to perfect a flawed workflow with AI. It is to rethink the workflow itself. That requires institutional judgment no packaged solution can capture.

04Cross-model, cross-vendor

Cross-model, cross-vendor.

Every AI agent grounded in the same institutional context. Run your preferred models safely and effectively, with no lock-in to one provider in a market with a different winner every month.

05On-device, full coverage

On-device, full coverage.

Runs on the operator's device. No system integration. No data movement. Built for regulated environments. Traceable. Reversible. Slots into the governance you already have.

Built by

Frontier AI from Google DeepMind, InstaDeep and Imperial College London, shipped by operators who automated workflows at Sequoia-backed fintechs. Backed by Schmidt Futures and the Rhodes Trust network.

Technical blog.

Research

The journey from context retrieval to context navigation

Fatimah Alani · May 17, 2026
  • Methods
    Why every enterprise agent needs an authentication gateway
    Coming soon
  • Methods
    The four-test boundary for agentic deployment
    Coming soon
Get in touch

We work with AI and transformation leaders at top-tier enterprises.

If you are mapping how your business function actually performs work, identifying where AI could be applied, or deploying agents in regulated workflows, let’s talk.