Yoti
AI Engineering Excellence Workshop
Full-day technical workshop driving 60% AI tool adoption in 30 days across Yoti's 200+ engineer organisation. Vendor-neutral evaluation, agent-led workflows, and governance for regulated identity verification.
The Challenge
Yoti, a leading digital identity verification platform with over 20 million app downloads worldwide, operates in a highly regulated environment emphasising security, privacy, and trust. Their senior, polyglot engineering team had been experimenting with AI-assisted development tools individually, but leadership needed to move beyond experimentation and understand how these tools could be applied safely, pragmatically, and at scale.
Beyond Autocomplete
Engineering teams needed to understand how modern AI tools perform in production environments, where agents add genuine value beyond basic code completion.
Governance in Regulated Industries
AI adoption in identity verification demands careful governance. Yoti needed practical guidance on balancing productivity gains with security, privacy, and cost controls.
Cutting Through Hype
With rapidly evolving AI tooling, Yoti needed a technically credible, vendor-neutral way to evaluate options and give their teams practical guidance grounded in real engineering workflows.
Our Approach
We delivered a full-day, hands-on technical workshop tailored specifically to Yoti's technology stack and regulatory context. The session combined live tool comparisons, agent-led workflow demonstrations, and practical frameworks, customised for Go/GRPC backends, mobile-native development, and the security considerations of a regulated identity verification platform.
Technical Solution
GitHub Copilot Deep Dive
Beyond basic autocomplete, demonstrating Copilot as a true pair programmer for production engineering workflows
CLI Tool Comparison
Live comparison of Gemini, Claude Code, Aider, and GitHub Copilot CLI with vendor-neutral evaluation against Yoti's real codebase
Agent-Led Workflows
Transitioning teams from prompt-based interactions to agent-led development workflows that handle multi-step engineering tasks
Testing & Evaluation Frameworks
Practical frameworks enabling Yoti to evaluate and iterate on AI tools independently, without ongoing external dependency
Regulated Industry Customisation
Workshop tailored for Go/GRPC backends, mobile-native development, and identity verification security requirements
Adoption & Cultural Change
Addressing the human side, building confidence and establishing governance for responsible AI adoption across 200+ engineers
The Impact
Within 30 days of the workshop, over 60% of Yoti's engineering organisation was actively using AI tools in their daily workflows, a dramatic acceleration from isolated experimentation to structured adoption. The workshop sparked internal governance and oversight discussions, with teams proactively planning deeper AI integration.
Demand for Claude Code and API access increased significantly. The success led directly to a Phase 2 engagement for three targeted follow-up workshops, with a target of reaching 90% engineering adoption.
Workshops like this don't just upskill people. They strengthen teams, sharpen thinking, and move the whole organisation forward.
Alttaf Hussain
Director of Engineering & AI Innovation, Yoti
Long-Term Value
AI-Enabled Engineering
Yoti's engineering teams now have practical, production-tested approaches to AI-assisted development.
- •Vendor-neutral tool evaluation framework for ongoing AI tool selection
- •Agent-led workflows replacing basic autocomplete across engineering teams
- •Testing frameworks enabling independent evaluation of new AI capabilities
Organisational Momentum
The workshop created lasting momentum beyond the technical skills transferred.
- •Internal governance and oversight structures emerging from engineering leadership
- •Phase 2 engagement extending adoption across specialist teams
- •Cultural shift from individual experimentation to coordinated, governed AI adoption
Related Capabilities
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