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.
~3 min per case spent on policy lookups outside the documented review path. The team built a faster route the SOP never captured.
First-pass triage is deterministic on 84% of inbound. An agent can clear those end-to-end and route the rest to a human reviewer.
Closeout follows the same five-step pattern on 91% of cases: draft disposition, log, notify, file, archive.
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.
Map every workflow and the deviations from policy that emerge in practice. On-device only. Sensitive data stays local. No IT integration.
The reasoning behind every decision: what was read, what was checked, what unwritten rule was applied.
Find the workflows that can be reimagined with AI. Prioritise by impact. End the thousand-candidate shortlist.
Agents grounded in what your veterans actually know. We build the harness; you pick the model. No lock-in.
Five reasons enterprises pick Observable Intuition over packaged AI tools and generic consultancies.
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.
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.
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.
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.
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.
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.
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.