Comparison
economAIcs vs building it in-house
Building your own buys control. It also buys a hiring problem, a maintenance bill and a two-year clock.
The instinct is healthy: AI this important feels like something to own. Sometimes it is. This page is honest about when, and about what the in-house road actually involves for a transport organisation whose core business is running services, not shipping software.
What in-house does well: credit where due
Total control, deep integration with your systems, no vendor in the room, and capability that compounds inside your own walls. For organisations whose product is software, or whose scale justifies a standing AI team, building is a real strategy and this page will not pretend otherwise.
What the in-house road actually involves
1. Two rare skill sets, in one team, retained. AI engineering is scarce; AI engineering that understands transport procurement, operations and data is scarcer. The build needs both, and the market for both is competitive.
2. The model call is the easy tenth. Grounding, evidence pipelines, audit trails, evaluation, isolation, live data feeds: the unglamorous nine-tenths is what makes AI defensible in a procurement environment, and it is all maintenance forever.
3. The clock runs before the value does. Hiring, stack decisions and iteration all happen before the first useful output. Meanwhile the tenders keep publishing and the manual work keeps costing.
Side by side
| Building in-house | economAIcs | |
|---|---|---|
| Time to first value | A hiring plan, a stack, and evaluation cycles before the first useful output | The Brain deploys in weeks on published pricing; advisory starts with answers in days |
| Talent | AI engineering plus transport domain knowledge, hired, combined and retained by you | Built at the join already: transport-trained AI, run daily by the firm that built it |
| Cost shape | Salaries and infrastructure, spent before you know what works | Published platform pricing, a £2,000 entry review, and fixed-scope engagements |
| Maintenance | Model churn, security, evaluation and monitoring: yours, permanently | Ours: updates and security are part of the operating fee |
| Control and exit | Total control: it is your system | No lock-in: your Brain and artefacts export in machine-readable form within 7 days, in the terms |
| The middle path | All or nothing | The Practice builds bespoke AI for operators and runs it on retainer, with the roadmap deciding what is worth building at all |
When building in-house is the right choice
Software is your product, the capability is existentially strategic, or you already hold the engineering bench and the appetite to keep it. Then own it outright, and good luck sincerely.
When economAIcs is the right choice
Choose economAIcs if:
- You want transport-trained AI from day one, not after a hiring cycle
- Your engineers should stay on your product, not on evals and pipelines
- You want the build-or-buy question answered with evidence before any money moves
- No lock-in matters: a 7-day machine-readable export is in the terms
- You want the middle path: bespoke AI built and run for you, on a retainer
FAQ
When is building in-house the right call?
When software is genuinely your core business, when the capability is so central that owning it outright is strategic, or when you already employ AI engineers with capacity. For a transport operator or authority, those conditions are rarer than the enthusiasm for them, and an honest use-case review is the cheapest way to find out.
We have developers. Is this not just an API call and a weekend?
The model call is the smallest part. The work is everything around it: ingestion and evidence pipelines, grounding so the system cannot invent facts, per-client isolation, audit trails, evaluation, live tender feeds, and keeping all of it current as models change. That is a product team's workload, not a side project.
If we start with you, are we locked in?
No, and it is in the terms: your indexed corpus and all derived artefacts export in machine-readable form within 7 days of leaving. Some clients treat us as the bridge: value now, and an in-house option later with the export as the starting corpus.
Can you build something bespoke for us instead of the platform?
Yes, for operators, through The Practice: the AI Readiness Review scores the use-cases and produces the roadmap, and where the verdict is build, we build what it names and run it on a retainer. Where the verdict is buy or leave alone, it says that instead.
Built by someone who's sat where you sit, a decade leading commercially in transport technology.
Sources
- This page compares an approach, not named organisations or products.
- economAIcs pricing, export terms and offer statements: economaicsgroup.com/pricing and economaicsgroup.com/consulting/ (live).