About
Technical work should produce a clear business outcome.
Bailey Wildash Ltd is a specialist UK technology consultancy built around that one idea.
What it is
A small, specialist practice
Bailey Wildash works best where a problem crosses the traditional boundaries between engineering, product, sales and the customer. That is usually where a project is stuck, and it is rarely fixed by adding more engineers.
The work sits between those functions on purpose. Close enough to the systems to design something that will hold up, close enough to the commercial side to know what it has to be worth and when it has to be there.
It is deliberately small. That means senior attention on the actual problem rather than a team assembled around a statement of work, and it means being honest when something is outside what can be done well.
How it operates
Operating principles
Not a manifesto. Just the working rules that tend to decide whether an engagement was worth it.
Write it down
A design that only exists in a conversation cannot be reviewed, priced or handed over. Most engagements produce a document someone else can pick up.
Prove the risky part first
The part most likely to be wrong gets tested early, while changing course is still cheap.
Work with the team, not around it
Outside help that creates a dependency has failed. The test is whether your people can run it afterwards.
Say when it is not worth doing
Including when the honest answer is that you do not need outside help for this one.
No surprise scope
Scope changes get raised and discussed. They do not get quietly absorbed and then invoiced.
Plain language
If a recommendation cannot be explained to the person paying for it, it is not finished.
Fit
Who it works with
- SaaS businesses
- Fintech
- Developer platforms
- Data infrastructure companies
- AI companies
- Digital asset companies
- Startups moving upmarket
- Established businesses shipping complex products
Size matters less than the shape of the problem. A twelve-person developer platform and a large business rolling out a complicated integration often have the same blockage.
Boundaries
What it does not do
- Take work that is outside what can be done well
- Publish client names or case studies without permission
- Sell headcount, or resell somebody else's
- Recommend a rebuild when a fix will do
Published work will appear on the work page once clients have agreed to it. Nothing invented in the meantime.
Expertise
Technical ground covered
Grouped by the kind of problem rather than by tool. Specific technologies get chosen once the problem is clear.
Architecture
How the pieces fit together, and where they tend to break.
- APIs
- Distributed systems
- Event-driven design
- Webhooks
- Cloud architecture
- Integration patterns
Data
Moving it, keeping it correct, and proving that it is.
- Data APIs
- Real-time and streaming
- Pipelines and ingestion
- Observability
- Analytics
- Reconciliation
AI & Automation
Applied where the task is repetitive and the output can be checked.
- LLM workflows
- Agents
- Retrieval
- Process automation
- Internal tooling
- Evaluation
Commercial
The work between the customer conversation and the codebase.
- Technical discovery
- Pre-sales architecture
- Enterprise implementation
- Product feedback loops
- Technical enablement
Digital Assets
Infrastructure for products that touch a chain.
- Blockchain data
- Wallets
- Exchanges
- Transaction flows
- Custody integrations
- Web3 infrastructure
Most engagements draw on more than one of these. The interesting problems usually sit where two of them meet.
Have a technically difficult problem?
Let us work out what is actually blocking it. A short conversation is usually enough to tell whether this is the right kind of help.