AI Transformation Consulting

Enterprise AI consulting that ships, not slides

AI transformation fails the same way almost everywhere: months of alignment, endless requirement documents, committees that never ship — while the market moves and the problem evolves. FastTech is an enterprise AI consulting practice built to break that pattern. We move organisations from ambition to working systems, with measurement attached, under one accountable lead.

Our approach is deliberately evidence-led. Rather than a grand, multi-year programme that proves nothing until it is too late to change course, we find the highest-leverage problem, validate the approach fast, and scale what works. AI transformation that cannot show a result inside a quarter is usually transformation that will not show one at all.

The full arc, under one team

A real AI transformation touches more than a model. It needs the process around the AI redesigned so the work actually flows, the repetitive and rules-based steps automated, the open-ended work handed to well-scoped agents, and a quality layer that proves the AI works at the scale humans can no longer review. FastTech covers that arc end to end:

• Process design and optimisation — diagnosing how operational and delivery processes really run, then removing waste and aligning execution to C-level objectives.
• Intelligent automation and AI agents — from deterministic pipelines to Claude-powered agents that handle conversational work and act on it.
• AI quality and evaluation at scale — the evaluation, calibration and monitoring layer that lets non-technical owners trust and tune AI in production.
• AI product strategy and delivery — taking new AI capabilities from idea to validated MVP to production.

These are not separate vendors stitched together after the fact. They are one team with one accountable lead, which is why the strategy survives contact with delivery.

Validate before you commit

Where a transformation depends on a net-new capability, we de-risk it first with WASP, our Weekly AI Sprint Protocol: from challenge to a working, user-tested prototype in five business days. You see real signal before committing a six-figure budget, then scale the bets that earn it.

Evidence, not assertion

Our team has redesigned delivery at a fast-scaling HR fintech to lift engineering output by 137%, taken a European telecom operator’s contact-centre QA from under 1% sampling to 100% automated coverage, and engineered a multi-team software company’s scattered context into a single curated knowledge base every employee and AI agent draws from. Different scales, the same discipline: find the leverage, prove it works, and scale it into production.

If your organisation needs AI transformation that produces working systems rather than another roadmap, that is the work we lead.