An intro to Yoti
Yoti is a leading digital identity verification platform, operating in a highly regulated environment where security, privacy and trust are paramount. With a senior, polyglot engineering organisation spanning backend, mobile and platform teams, Yoti continually explores how emerging technologies can be applied responsibly and effectively.
The Challenge
As AI-assisted development tools rapidly evolved, Yoti’s engineering leaders wanted to move beyond experimentation and understand how these tools could be applied safely, pragmatically and at scale
Their engineers were asking hard questions:
- How do modern AI coding tools really perform in production environments?
- Where do agents add value beyond autocomplete?
- How do you balance productivity gains with governance, security and cost controls in a regulated industry?
Yoti needed a technically credible, vendor-neutral way to cut through the hype and give their teams practical guidance grounded in real engineering workflows
The Solution
Enablis delivered a full-day, hands-on technical workshop for Yoti’s engineering leadership and teams. The session focused on technical depth, live demonstrations, honest tool comparisons (with no vendor pitches) and practical takeaways. Content included:
- Using GitHub Copilot beyond basic autocomplete, positioning it as a true pair programmer
- A live CLI comparison of Gemini, Claude Code, Aider and GitHub Copilot CLI
- Moving from prompt-based interactions to agent-led workflows
- Using testing and evaluation frameworks to enable safe, independent iteration by AI tools
The workshop was tailored to Yoti’s engineering environment, addressing Go/GRPC backends, mobile-native development and security considerations relevant to a regulated industry.
The Results
Accelerated
AI adoption
Informed
engineering decisions
Extended
engagement
The Impact
The workshop delivered immediate and measurable outcomes across engineering and leadership:
- Rapid Adoption: Over 60% of Yoti’s engineering organisation actively using AI tools within 30 days, with increased demand for Claude Code and API access.
- Cultural Shift: Sparked internal discussions around governance, oversight and deeper AI integration across teams.
- Commercial Momentum: Secured a Phase 2 engagement (£12k) for three targeted follow-up workshops, with external interest generated via industry visibility.
Yoti’s target is to achieve 90% engineering adoption by the end of Phase 2 (at the end of February 2026).
