Comparison
economAIcs vs traditional transport consultancies
The sector expertise is real. The model it is sold through is showing its age.
Transport consultancies exist because transport is genuinely specialist, and the good ones have earned their reputations. This page is about what changes when AI stops being a slide in the deck and becomes how the firm itself runs.
What traditional consultancies do well: credit where due
Deep sector knowledge, long relationships with authorities and operators, board-level credibility, and the bench depth to staff a multi-year programme. When a job needs thirty people across three disciplines on site for a year, that model is the right tool and nothing on this page argues otherwise.
Where the model shows its age
1. Discovery is priced by the day. The first months of a classic engagement are spent working out what you have: interviews, workshops, document requests, all billed. The incentive to compress it is structurally weak, because the clock is the product.
2. AI arrives as an attachment. The common pattern is a transport team with an AI specialist attached for the bid, or an AI practice from another industry borrowed for the engagement. The expertise may be real, but the join is assembled per project, not built into the firm.
3. Advice that a chat window could have drafted. Some consulting output is now visibly produced with the same public AI tools the client already has. If the analysis is rented, the fee should not pretend it is bespoke.
4. The report dead-ends. Recommendations land, the team rolls off, and delivery becomes someone else's procurement. The gap between the advice and the working system is exactly where value goes missing.
Side by side
| Traditional transport consultancy | economAIcs, The Practice | |
|---|---|---|
| Built around | People and hours: expertise delivered by teams on site | The join of AI and public transport: senior judgement backed by our own transport-trained AI |
| Discovery | Weeks to months of interviews and workshops before advice lands | AI Accelerated Discovery and Learning: our AI reads your systems, documents and public footprint before the first meeting |
| AI capability | Typically an AI team joined to a transport team for the engagement | AI-native and transport-only: we run our own transport-trained AI every day, on our own business and our clients' |
| Pricing model | Day rates, and a team structure that rewards more days | Fixed scopes and outcome pricing, no day rates; the entry Readiness Review is a published £2,000 |
| The deliverable | A report and recommendations | A costed roadmap with a named delivery route, and for operators we can build and run what it names |
| Independence | Policies vary by firm: ask to see them | Published: never both sides of one competition, and where we assure, we do not build |
When a traditional consultancy is the right choice
Large multi-disciplinary programmes, civil and engineering scope, long-running delivery that needs bench depth, or work where the named brand on the report is itself the requirement. Real strengths, honestly stated.
When The Practice is the right choice
Choose economAIcs if:
- The question is AI-shaped: where it fits, whether it is real, how to buy it, how to govern it
- You want discovery in days, not a billed quarter
- You want a firm that runs its own transport-trained AI, not one renting a chat window
- You want fixed scopes and a published entry fee, not day rates
- You want the roadmap to end in a named delivery route, not a handshake
FAQ
Are you saying big consultancies cannot do AI?
No, and this page does not claim that: large firms field capable transport and AI teams. The difference is the nature of the firm. We are built at the intersection rather than assembled at it, transport-only rather than general, founder-led, and we run our own transport-trained AI as a product. That shapes everything: speed of discovery, pricing, and what the deliverable is.
When is a traditional consultancy the right choice?
When the engagement needs dozens of people on the ground, spans civil or engineering works, or is a multi-year programme delivery where bench depth is the product. That is honest strength and we do not compete with it. Our ground is judgement-heavy, AI-shaped work: bids, readiness, roadmaps, assurance.
How can a small firm cover discovery a big team normally does?
Because the reading is done by AI, not by juniors. A structured intake and a small document pack, plus your public footprint, are analysed before the first meeting, so senior time goes on judgement rather than fact-finding. Discovery lands in days, not months.
What does The Practice cost?
The AI Readiness Review is a published £2,000 fixed fee, credited against any engagement that follows. Everything else is a fixed scope agreed on a call, with no day rates.
Built by someone who's sat where you sit, a decade leading commercially in transport technology.
Sources
- This page compares a category, not named firms. No claim on this page is about any specific consultancy.
- economAIcs offer, method and pricing statements: economaicsgroup.com/consulting/ (live).