Built on community intelligence.
Designed for measurable improvement.

Equity-First Analytics

See who's being heard and who isn't

Patient feedback is never representative by default. i4i breaks down experience by ethnicity, deprivation, disability, and place — so you can see the gaps before they widen and evidence them when they do.

Preview the equity view →
Geographic equity dashboard showing borough-level sentiment map and key statistics
Continuous evidence over time

Retain intelligence through restructures, crises, and leadership change

Community insight loses value when it lives in decks, inboxes, and staff memory. i4i keeps a continuous record of signals, themes, and interventions so teams can compare today's picture with prior pressures, transitions, and recovery periods.

0 Jul 2022 — ICB transition lowest sentiment on record 7-year high ▲ 2018 2019 2020 2021 2022 2023 2024 2025

Net patient experience · North East London · quarterly · 2018–2025 · n = 127,301

127,301 patient voices
1,070 services tracked
7 years continuous data
9 London boroughs
Strategy dashboard showing cohort-level equity tracking and experience breakdowns
Institutional Memory

Evidence that survives restructures

Staff leave. Teams reorganise. Priorities shift. But the evidence trail stays: which signals were seen, what was prioritised, what interventions were tried, and what changed. So the next team doesn't start from scratch.

See the evidence trail →
Simulation Engine

Find out what actually works

Once you can see the gaps, the question is what closes them. We test hundreds of service configurations against a simulation of your population. When independent approaches converge on the same answer, that's evidence you can take to a board.

Currently deployed in NHS patient experience. The engine works on any structured policy domain.

See simulation results →
Simulation evidence dashboard showing convergent recommendations from independent AI agents