UK technology consultancy
Bailey Wildash turns complex requirements into systems, integrations and processes that hold up in production. Solutions architecture, APIs and data infrastructure, AI-enabled automation and technical go-to-market, with the emphasis on work that ships.
Where it goes wrong
They fail in the gaps. Between what a customer asked for and what they meant. Between what was scoped in the deal and what engineering can build this quarter. Between a prototype that worked on a call and something an enterprise team will actually run.
The hard part is rarely the API. It is getting customer requirements, commercial priorities, product constraints and engineering reality aligned quickly enough to ship.
Bailey Wildash works across those boundaries. Close enough to the code to design something that will hold, close enough to the commercial side to know what it has to be worth.
Customer requirement
What was asked for
Discovery
What is actually needed
Commercial constraints
Architecture
How it will work
APIs
Product & engineering
What can be built
Data
Implementation
What ships
AI & automation
Business outcome
What it was for
Services
Five areas. Most engagements draw on two or three of them at once.
Turn a vague requirement into an architecture a team can build, review and sign off.
Make a technically complex product easier to scope, sell and implement.
Remove repetitive operational work where it is genuinely repetitive.
Support products where the API and the data are the product.
Specialist infrastructure work for products handling on-chain data and digital assets.
Approach
Five steps. Nothing clever, but skipping one is usually why a project goes sideways.
Start with the outcome someone is accountable for, not the feature request that arrived with it.
Technical, commercial, contractual and organisational. Most of them are not written down anywhere.
The version that proves the thing and can be extended later. Not the version that looks impressive in a deck.
Prototype it, ship it, or give your team what they need to ship it properly themselves.
Agree what good looks like before the work starts, then check the result against it.
Expertise
Grouped by the kind of problem rather than by tool. Specific technologies get chosen once the problem is clear, not before.
How the pieces fit together, and where they tend to break.
Moving it, keeping it correct, and proving that it is.
Applied where the task is repetitive and the output can be checked.
The work between the customer conversation and the codebase.
Infrastructure for products that touch a chain.
Most engagements draw on more than one of these. The interesting problems usually sit where two of them meet.
Engagement models
Rates are agreed per engagement. Ask, and you will get a straight answer with the assumptions written down.
Senior input on architecture, technical strategy, product direction or go-to-market, without owning delivery.
Regular sessions, design reviews and written recommendations.
A defined piece of work with a start, an end and an agreed output.
Scoped up front, priced as a project, delivered against a plan.
Ongoing access to senior technical and commercial expertise without hiring for the role.
A set number of days each month on a rolling arrangement.
Working inside your team for a defined period, with the same tools and the same standups.
Fixed period, agreed scope, working directly with your people.
About
Bailey Wildash is a UK technology consultancy built around a simple principle: technical work should produce a clear business outcome.
It works best where a problem crosses the usual boundaries between engineering, product, sales and the customer. That is normally where the delay is, and it is rarely fixed by adding more engineers.
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.