The Practice · for public authorities
Independent AI judgement for public transport authorities.
Programmes are now expected to have an AI answer. We give you an evidenced one: readiness, implementation review, governance and assurance, from a firm that publishes its independence rules.
Quick answer
The Practice advises public transport authorities on AI: an AI Readiness Review scoped to your programme, AI Implementation Review of what is being built or bought, and AI Governance and Assurance your board can stand behind. Advisory only, evidence-led, and independent by published rule: where we assure, we do not build.
What we see
Where the time and money go.
AI is now expected
Franchising and next-generation programmes are expected to have an AI position, and the in-house skillset to form one rarely exists yet.
Vendor claims, no referee
Every supplier now says AI. Somebody independent has to say which claims hold, what they cost to run, and what the audit trail should look like.
Governance after the fact
Pilots start, then policy chases them. The defensible order is the reverse, and it is cheaper too.
How we help
Your way in.
The first engagement
AI Readiness Review, scoped to your programme
Use-cases mapped and scored by value, feasibility, data and risk. A verdict per system or proposal. A costed roadmap with procurement-ready specifications and a named delivery route, which for an authority is never us.
See the Readiness ReviewGo deeper
Implementation Review · Governance and Assurance
Independent review of what is being built or bought against what was promised, and the governance to run AI defensibly: registers, assessments, human-review points, audit trails.
See the Adopt AI lane
Independence, published and kept: Where we assure, we do not build. We never advise both sides of one competition.
Straight answers
Asked before, answered honestly.
- How should a transport authority adopt AI?
- Evidence first, procurement second. Map and score the use-cases by value, feasibility, data and risk before any tool is bought. Put governance in place before pilots, not after. And buy against a specification written by someone independent of the vendors bidding for the work. That sequence is exactly what our advisory engagements produce: a scored use-case map, a costed roadmap, and procurement-ready specifications.
- Are you independent of the vendors and bidders?
- Yes, and the rules are published. We never advise both sides of the same competition, information barriers separate every engagement, and where we assure, we do not build: an authority buying our judgement is never buying a sales channel.
- What does AI governance look like for public transport?
- A named owner, a use-case register, data protection assessments before deployment, human review where decisions affect the public, and an audit trail for every AI output used in a decision. Our AI Governance and Assurance work builds exactly this, sized to your programme rather than imported from a generic playbook.
Start with a call, or the free diagnostic.
A conversation, not a pitch deck. And before the first meeting, our AI has already read your landscape.