McAi

Industry

Public & social sector

Government, education, and non-profits — scale of impact, constraint of legitimacy.

Where we start

Public bodies operate with a legitimacy constraint that private organisations do not: an automated decision must be explainable to the person affected, and to the body that oversees the decision-maker.

That constraint is not an obstacle to progress. Institutions that design for explainability first tend to deploy more confidently, because the political and legal risk is managed up front rather than discovered in a headline.

We work on service delivery, casework, education, and workforce questions, always with the citizen-facing consequence in view.

Typical results

-24%
average case handling time with maintained appeal rates
100%
of automated outcomes explainable to the citizen
0
deployments without a named accountable official

Illustrative client outcomes, representative of engagements in this sector.

Talk to this practice

How we help

Service delivery

Assisted casework and eligibility processes with documented reasoning for every outcome.

Education and skills

Learning analytics and workforce programmes that target the real skills gap.

Procurement

Structuring AI procurement so that evidence, audit rights, and exit terms are contractual from the start.

Public finance

Budget and demand modelling under uncertainty, with transparent assumptions.

Evidence

What this looks like in practice

-24%
average case handling time with maintained appeal rates
100%
of automated outcomes explainable to the citizen
0
deployments without a named accountable official

Related insights

Next step

Bring us your public & social sector problem

A ninety-minute working session is usually enough to agree the baseline, the owner, and the first evidence gate.