Our agentic development lifecycle services
SDLC assessment and enablement
Understanding where AI delivers maximum impact in your development lifecycle requires comprehensive maturity assessment and strategic enablement. We evaluate current capabilities, identify high-impact opportunities, and guide teams from AI-curious to AI-native through structured workshops and prioritised implementation roadmaps.
AI-ready knowledge architecture
AI effectiveness depends on accessible, structured context including architecture decisions, design specifications, user stories, and documentation. We help organisations create machine-readable knowledge bases through MCP servers, structured markdown repositories, and connected documentation systems that enable AI to understand projects comprehensively.
Intelligent requirements engineering
AI assistants transform meeting recordings, wireframes, and project briefs into structured, actionable tickets with clear acceptance criteria. By providing project context, technology stack information, and quality standards, these systems generate user stories that development teams can implement immediately.
Generative design and prototyping
AI enables rapid progression from initial briefs to interactive prototypes, allowing teams to explore multiple design directions before stakeholder meetings. This approach validates concepts with real users before production development begins, reducing iteration cycles and improving outcomes.
AI coding and code review
Modern AI coding tools including Cursor, Claude Code, and integrated IDE assistants provide comprehensive development support beyond autocompletion. Agentic coding with parallel subagents and human-in-the-loop review ensures quality control before code review processes.
AI cost control and governance
AI tooling costs shift from seat-based to usage-based models, requiring sophisticated budget management. We implement comprehensive cost visibility including budget caps per team, token tracking per user, and project-level cost allocation to maintain financial control as AI adoption scales.
Transforming development through AI integration
Transforming development through AI integration
Agentic development is the systematic integration of AI across the full software development lifecycle. The challenge is orchestrating transformation that improves productivity while maintaining code quality and security.
Measurable productivity gains across the SDLC
AI impacts every phase of the SDLC, from requirements to operations. Research shows average developer time savings of ~4 hours per week and 30–40% productivity gains in greenfield projects, depending on complexity.
Enterprise governance without slowing delivery
Enterprise adoption requires strong governance, including EU data residency, GDPR compliance, and access controls. Platform-level orchestration ensures security, compliance, and cost control without slowing delivery.
Learn more about AI-powered development
Discover how to integrate AI across software development lifecycles that enhance team capabilities whilst maintaining quality standards. Our insights explore how agentic development frameworks, maturity models, and governance structures create sustainable competitive advantages in software delivery.
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Clients who trust our expertise
AI Pioneer Agency of the Year
We were named AI Pioneer Agency of the Year — and we're just getting started. At iO, we help organisations move beyond AI experimentation and turn it into real, measurable business impact. Ready to make that shift? Let's talk.
