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People & teams
We work at the level most transformation misses: how teams function. The operating rhythm, the retros, who owns which decision and if your teams are set up for success with the core foundations of high performing teams.
We work through your people, your teams, and implement AI to help you deliver operational transformation. For PE-backed, scaling and later-stage businesses.
Most businesses that need to change how they run already know it. Growth has outpaced the operating model, decisions bottleneck at the top, everyone is working ‘in the business’ with no space to work ‘on the business’. The usual answer is to bring in consultants who’ve read about operating at scale but never done it, or to buy technology and hope it changes behaviour. Neither touches the real problem: how the business actually works day to day, and who’s accountable for changing it.
AI has become the new buzzword for business transformation. Most leadership teams already know they need it in the business. The board is asking, competitors are claiming things, and standing still feels like falling behind. What they don’t have is a clear first move. They’re not sure where AI would actually pay off, whether their people can build and run it, or how to get the rest of the organisation to use it once it exists.
Working through the people, the teams, and where it helps, AI.
We work at the level most transformation misses: how teams function. The operating rhythm, the retros, who owns which decision and if your teams are set up for success with the core foundations of high performing teams.
We can help you think through how the business runs: decisions, accountability, cadences, blockers. Ideally, the leadership team designs the system to run efficiently rather than being the bottleneck inside it.
Where appropriate we can implement production AI to automate tasks or increase the efficiency of your teams. Sometimes the right answer is simpler than AI. When it is, we’ll tell you.
Sanara is led by Huw Bevan. He spent fifteen years operating inside a broad variety of ventures and industries, including 6 years scaling Uber in the UK, through GM roles and the UK leadership team.
When TfL refused to renew Uber’s licence in 2017, he built the safety function from scratch and rebuilt relationships with the regulator and the Metropolitan Police. He’s delivered advanced accurate AI systems in regulated industries, healthtech and industrial companies.
We built the product, technology and operations from zero for a bootstrapped AI RegTech firm, supporting revenue growth from £0.1m to £3m+ at 50%+ margin in two years. At the core is a compliance engine running an 80-plus step prompt-chained workflow at 95% accuracy, automating regulatory analysis that previously needed scarce junior analysts. We hired and led the engineering team, and stood up the operating model around it: finance, people ops and supplier management.
An AI-driven recruitment platform for family offices. We came in as product advisor but the role was broader in practice: managing the offshore engineering team delivering the build, setting product direction, and training a junior team member up into a working product manager.
We built an AI tool that compresses several days of construction tender analysis into a structured pipeline, replacing a manual process estimators repeat on every bid. A full-stack build with a five-stage extraction pipeline across schedules, specifications and drawings. We took accuracy from roughly 39% to 98% through systematic prompt engineering and a correction system that lets the pipeline learn from each completed project.
An AI training coach that designs and adapts periodised programmes for serious athletes across 19 specialist disciplines, from powerlifting to ultra-running. The engine now powers ZAAG Intelligence, a nervous-system training and recovery system.
If you know the business needs to change how it runs but not the first move, then we’d love to speak to you and understand whether we’re the right people to help. If we’re not, we’ll point you somewhere better.