AI accelerated software engineering

Responsible. Reliable. Robust.

We guide your organisation through the uncertainty and complexity of AI adoption

Data driven

Our approach to accelerating software engineering with AI helps organisations move confidently through hype to hands-on progress and true transformation. We guide teams through the uncertainty of GenAI adoption —accelerating value, boosting speed without piling on tech debt, and building trust in your AI strategy from day one.

Why work with us

Accelerate AI – not technical debt

Deliver gains and time to value faster, without piling up complexity and unmanageable technical debt – whilst keeping quality and maintainability at the core.

Innovate on solid ground

Cut through the confusion of AI adoption with a safe, structured rollout. We align governance, tooling, and delivery to unlock real strategic value.

Scale AI, protect quality

Move fast without reducing the quality of output. We help teams scale AI coding responsibly, building consistency and sharing best practices that embed quality from the start.

Turn AI plans into proof

Showcase real impact, not just experimentation. We help you deliver flagship AI initiatives that unlock value while scaling adoption effectively.

Our approach

At Equal Experts, we believe responsible, reliable AI adoption isn’t just about faster delivery — it’s about building the future of work. Our phased approach moves organisations from simply enhancing their current teams with GenAI, to redesigning delivery itself, and ultimately reimagining how businesses operate. We help you start smart, scale with purpose, and prepare for the profound shifts AI is bringing.

An image showing the 3 phases to Equal Experts' approach to AI accelerated software engineering. Phase 1 is 'Augmented expertise', that consists of the same shaped people, doing the same role, in same shaped teams. They use tooling to enhance the way they do their role. Phase 2 consists of new initiatives, focused on a faster route to value. This consists of different shaped people in different shaped teams. Phase 3 is building AI organisations, which means tuning an organisation to best support many, or all, accelerated initiatives. This includes new topologies, different enablement strategies, changes in how is routed.

Insights

Blog

“My CEO keeps coming and asking me how we are using AI in the SDLC!” – AI Enabled Delivery According to 50+ Tech Leaders

Blog

Are enterprises getting left behind in AI-powered SDLC?

The trouble with vibe coding: when AI hype meets real-world software

Blog

The trouble with vibe coding: When AI hype meets real-world software

Some of our clients

Waitrose and Partners Logo Pret-a-Manger logo Travelopia logo Tesco Logo Tesco Bank Logo Network International Payment Solutions Logo Springer Nature logo The Economist Logo itv logo

Equal Experts in Numbers

4,000+

members of the Equal Experts network

18 years

in business

90%

of our consultants have 10+ years of experience

Unparallelled experience

2x the experience per person than our competitors

A comparison of years of experience between other consultancies and Equal Experts using two triangles. The first triangle has a large base and narrow top, indicating a large number of people with fewer years of experience. The Equal Experts triangle is inverted, with a large number of people with more experience and less people with fewer years experience.

The average industry experience for a typical IT consultancy is around 8 years. The average for Equal Experts is over 18 years, with 90% of our people having 10 years plus. This deep experience means we can assign smaller, more expert teams to save our customers money and upskill people as well as technology.

Lead today with confidence in AI software engineering

Embed AI into your software delivery teams responsibly and reliably. Talk to us about getting real value from GenAI.