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AI enablement for software engineering teams.

AI experimentation is easy. Operationalising it inside a real software-engineering organisation is not.

For software-engineering teams managing live codebases and continuous software delivery, achieving true AI leverage requires more than just giving every engineer access to the latest model. True leverage comes from embracing new approaches and mindset that AI makes possible.

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Built for engineering organisations

Whitesmith are technical leaders and practitioners who build AI-enabled systems and help engineering organisations operate differently because of them. We design practical AI workflows, governance structures, and adoption models grounded in live codebases and delivery environments instead of abstract frameworks.

This programme is built for organisations with established in-house engineering teams who want AI to materially improve how they build, deliver, and maintain software.

Start

For technical leadership whose teams tell them they are using AI, but aren't seeing the leverage they would expect.

  • Where you are underestimating AI capability
  • Where value is trapped
  • Where AI can improve delivery or quality
  • What to fix and what to ignore
  • 90-minute leadership diagnostic interview
  • AI operating model assessment
  • Written leverage and risk report
  • Strategic direction summary
  • 30-minute review session

$4,600

£4,300 / €4,000

Book online now

The full fee is credited against any Action Plan or Scale programme started within 60 days.

Action Plan

For organisations ready to move from AI experimentation to a practical, structured AI engineering system.

  • AI agentic workflows that actually work in your context
  • Clear adoption model across teams
  • Defined ownership and decision boundaries
  • Phased execution blueprint your team can act on
  • Leadership functional interviews
  • Principal engineer interviews
  • Light review of representative repos and tooling
  • AI operating model design workshop
  • Executive-ready operating model blueprint

From $14,000

£13,000 / €12,000

Enquire

Scope and pricing tailored to your organisation.

Scale

For organisations ready to implement and prove AI-enabled engineering at production level.

  • A working AI-enabled workflow implemented in a live project
  • A tangible proof of value, not a slideware prototype
  • Measurable delivery or quality improvements
  • Engineers trained and confident in the new workflow
  • Clear decision point for wider rollout
  • Everything in Action Plan
  • Selection of pilot project or use case
  • Hands-on implementation within a contained scope
  • Working output delivered inside your environment
  • Before/after metrics readout
  • Refined operating model

From $35,000

£32,000 / €30,000

Enquire

Pricing based on project scope, timeline and complexity.

AI operating partner (Fractional CAIO)

For organisations where AI is a long-term strategic capability, not a one-off initiative. Whitesmith acts as your ongoing Chief AI Officer, providing ongoing AI operating model optimisation, quarterly strategic recalibration and executive-level guidance as tools and practices evolve.

From $11,600 / month

£10,750 / €10,000 / month

Enquire
Webinar: March 18

Claude for Leaders: turning AI into strategic advantage

A practical, executive-focused session on using Claude to help you prioritise, unlock insights from your data, and make better, faster decisions with AI. Join Whitesmith for real-world examples of what's possible on embedding AI into strategic workflows.

Register Now

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Common Questions About AI Engineering Teams

Developers are used to accessing documentation and adapting to any system, so it is easy to assume that the same applies to working with generative AI and Large Language models. Our experience is that this isn't the case. Working with generative AI means knowing the best models for each use case and how to get the most out of them through prompt engineering. Whitesmith developers don't just know how to use the APIs, but have learned how to get the most out of the system by being hands on with them.
We don't charge extra for this experience either. AI is native to the way we work and this is part of the skillset built into our whole team.

We don't just work on AI powered products. Business leaders are becoming more aware of the benefits to be had by using AI to automate, improve or surface additional insights from parts of their business. Many leaders already know where AI could benefit them, but need specific AI development and prompt engineering experience to deliver the improvements. A Whitesmith AI Engineer, or even Chief AI Officer can bring those skills.

We encourage both experimentation with, and practical application of AI in all areas of the company and track how the team is using the tools and what benefits they gain from them as part of our core reporting. We also build our own AI-enabled products (both internal and external), allowing us to push ourselves in directions ahead of where client projects are taking us.

It will often make sense to build your own dedicated team for longer term projects, but that doesn't make it easy. These skills are in high demand, but slow to learn well, meaning that experienced AI developers are difficult to find and expensive to hire. Whitesmith can solve this issue with Interim AI teams that bridge the gap until you build your own.
For shorter term, or less involved projects, the challenge of building your own team can be harder still, with good developers being hard to tempt away from more sustained work. In these instances, Whitesmith can provide short-term AI teams or fractional engineers.

Whitesmith offers a flexible approach to suit all businesses and the cost depends on how much resource is required and the mix of skills and experience needed. We can help you find a solution to fit your budget, from a single developer working on a fractional basis for a limited duration, to a full-blown full-time team working longer term. We can give you more specifics once you tell us more about your requirements.