Talk Think Do Review: AI-Augmented Software Development for UK Businesses

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Most CTOs evaluating an AI-augmented development partner run into the same wall: everyone claims to move faster with AI, and almost nobody shows the math.

Talk Think Do is a UK custom software development company built around trying to close that gap. Founded in 2014, the consultancy builds bespoke web, mobile and cloud applications for mid-market and enterprise clients, and it has also published a legal breakdown of who owns AI-written code, aimed at CTOs, developers and procurement teams sorting out IP questions before they sign a contract. That piece sits alongside its core development work rather than replacing it.

What is Talk Think Do?

Talk Think Do is a software development company, not a staffing agency or a low-code platform. It designs and builds custom applications on Azure, using .NET and React as its primary stack, for organisations that need something built to their own specification rather than configured from an off-the-shelf product.

The company works with named enterprise clients including Third Space, CalMac Ferries and Hachette UK. That's a genuinely varied client list, spanning fitness, ferry operations and publishing, which suggests the consultancy isn't locked into one industry vertical.

How Talk Think Do Works

The pitch is AI-augmented development, not AI-replaced development. Engineers use AI tooling to generate a large share of the code, and every line still goes through review by senior engineers before it ships.

The company reports that roughly 91.6% of its production code is AI-authored, with every line checked by a senior engineer before release.

What separates this from most competitors making similar noise about AI is that Talk Think Do publishes its delivery speed, AI-authored code share and defect data every quarter in what it calls an AI Velocity Report, rather than leaving clients to take productivity claims on faith. The consultancy states this AI-augmented approach delivers projects 40 to 50% faster than traditional development timelines.

For teams trying to understand what “AI writes most of the code” actually looks like day-to-day, a practical guide to using Claude Code in .NET development can be a useful primer before evaluating a vendor's process.

Certifications and Government Standing

Software procurement at the enterprise or public-sector level usually starts with a security and compliance checklist before anyone talks about features. Talk Think Do is ISO 27001 certified and holds Cyber Essentials Plus accreditation, both of which are relevant if your organisation has a formal vendor security review process.

It's also a Crown Commercial Service supplier and holds Microsoft Solutions Partner status. For a procurement lead working through a framework agreement, that combination of accreditations provides concrete credentials to consider during the due-diligence process.

Key Features and Services

Beyond the AI-augmented build process, Talk Think Do's work breaks down into a few distinct service lines rather than one generic “custom software” offering.

• Custom software development: bespoke web, mobile and cloud applications built on Azure with .NET and React, the company's primary line of work.
• Legacy application modernisation: assessing ageing, business-critical applications, often older .NET systems or on-premises setups and migrating them onto Azure.
• AI development and implementation: building bespoke AI features and generative AI integrations into a client's existing systems on Azure, going past what an out-of-the-box tool like Copilot can do alone.
• A free consultation: an initial no-cost conversation for organisations sizing up whether a rebuild, a modernisation project or a smaller AI integration is the right starting point.

That legacy modernisation line matters more than it might look at first glance. A lot of mid-market companies aren't shopping for a brand-new application. They're trying to figure out what to do with a ten-year-old internal system nobody wants to touch, and a vendor that treats that as a named service rather than an afterthought is answering a real, common problem.

Where the Approach Falls Short

No vendor is the right fit for every team, and a few honest trade-offs are worth flagging.

The AI Velocity Report and the 91.6% figure are self-reported.

Heavy AI authorship in the build process also means a client's confidence has to rest partly on the review layer holding up project after project, not just on the initial pitch. That makes understanding the role of software engineering particularly relevant when assessing how AI-generated code is reviewed and maintained. Organisations that want a fully manual, AI-free build process, for reasons of internal policy or client contract terms, aren't the target market here. 

Finally, the stack is specifically Azure, .NET and React. That's a strong, coherent combination for a huge share of enterprise environments, but a team already committed to AWS or a different language ecosystem should weigh how much re-tooling that mismatch would create.

Who Talk Think Do Is Best For

This consultancy makes the most sense for CTOs, IT directors and procurement leads at UK mid-market and enterprise organisations, particularly those already leaning toward Azure and .NET or actively deciding between a full rebuild and a modernisation of an existing legacy application.

It's a weaker fit for early-stage startups without in-house technical leadership, or for anyone specifically shopping outside the Microsoft ecosystem. If procurement compliance and documented delivery metrics matter to your buying process and understanding where AI-generated code sits legally is part of that process, this overview of a computer programmer's typical role is a useful baseline for scoping what “senior engineer review” should actually mean on paper before you sign anything.

Teams also weighing build-versus-buy decisions more broadly might find this breakdown of the different types of websites and applications useful for pinning down exactly what category of project they're commissioning in the first place.

The Verdict

Talk Think Do earns its case less on flashy claims and more on the fact that its central AI productivity claim comes with an actual, recurring data source behind it. The ISO 27001 certification, Cyber Essentials Plus accreditation, Government Commercial Agency supplier status and Microsoft Solutions Partner designation give procurement teams concrete points to check rather than marketing language to take on faith.

If your organisation runs on Azure and .NET, has a legacy system that needs a real modernisation plan, or is trying to figure out the legal ground under AI-generated code before commissioning a build, Talk Think Do is worth a look. The free consultation is the obvious low-risk starting point for figuring out whether that fit is real.