Adding AI to your existing process is a waste of time
Most organisations bolt AI tools onto their existing Agile ceremonies. Stand-ups with AI summaries. Sprint plannings with AI suggestions layered on top. This doesn't work.
Not because AI isn't powerful enough. Because the process wasn't designed for AI. You're fitting a Formula One engine into a tractor. The bottleneck is never the engine. It's the vehicle.
"The problem isn't AI capability. The problem is Agile processes designed in a world before AI existed."
We redesign from first principles. Using Five Lenses, we examine every aspect of how your teams work and rebuild the delivery model around what AI makes possible — not what it was possible to do in 2015.
Five Lenses. One Complete Redesign.
We apply five structured lenses to every aspect of how your teams work. Each lens surfaces specific inefficiencies and AI integration opportunities.
Ceremonies & Cadences
Your stand-ups, planning sessions, retrospectives, and reviews were designed for human memory and attention. AI changes what's worth synchronising on — and what's not.
- Less time in meetings, more time doing the work that matters
Roles & Responsibilities
Scrum Masters, Product Owners, and Tech Leads were defined before AI could do what they do. We don't eliminate roles — we evolve them. New roles emerge where AI can't replace human judgement.
- People focused on judgement and strategy, not admin and status chasing
Information Flow & Decision Architecture
Most teams drown in meetings that exist to share information AI can synthesise better and faster. We redesign how information flows: from team to stakeholder, from data to decision, from risk to escalation.
- Less time wasted remembering a conversation from two weeks ago
Quality & Feedback Loops
Code review, testing, user feedback — all transformed by AI. Your quality gates were designed for manual inspection. We redesign them for AI-augmented quality assurance that catches more, faster.
- Faster feedback loops that catch issues before they become incidents
Capacity Planning & Team Topology
Sprint capacity planning is still done with gut feel and spreadsheets in most teams. We introduce AI-powered forecasting based on historical data, planned absence, and team velocity patterns.
- Plans built on data, not gut feel and optimistic spreadsheets
AI Tools. Deployed in Your Environment.
We're not just consultants — we're software engineers at heart. We don't hand you a report and walk away. We design, build, and deploy AI tools directly into your workflow. Here are some examples of how we help teams become AI-First.
Async Stand-Up Generator
Synthesises progress updates from Jira, Slack, and GitHub into a daily async report. Teams get the information without the meeting.
Sprint Planning Copilot
Analyses your backlog, team velocity, and capacity to generate an optimised sprint plan in minutes, not hours.
Retrospective Insight Engine
Mines team data, delivery metrics, and previous retros to surface the most impactful themes. Retros become data-driven, not opinion-driven.
Decision Brief Generator
When a decision needs escalating, generates a concise brief with context, options, trade-offs, and a recommendation. No more walls of Confluence.
Stakeholder Update Automator
Generates project status updates from live data. Stakeholders stay informed without teams spending hours writing updates.
PR Review Triage Bot
Categorises pull requests by complexity, risk, and urgency. Senior engineers focus on what needs them; routine reviews get AI-assisted triage.
No other Agile consultancy can design your delivery model from first principles and build and deploy the AI tools that make it work. That's our competitive advantage.
How It Works
Four phases. Clear outputs at every stage. You know exactly what you're getting before we start.
Frequently Asked Questions
How long does the engagement really take?
It depends on scope. Some engagements start with a focused discovery phase, others go straight into a full redesign. We'll scope this together in the discovery session and agree a timeline that works for your organisation.
Do you build the AI tools yourselves or use third-party vendors?
We use the right tool for the job — sometimes that's a custom-built solution, sometimes it's a best-in-class third-party product, and often it's a combination of both. We'll always choose what fits your context, your stack, and your team.
What integrations do you support?
Jira, Linear, GitHub, GitLab, Azure DevOps, Slack, Teams, Confluence, Notion, Salesforce, and more. We integrate with what you already use — we don't ask you to change your toolchain.
How do you measure success?
We agree KPIs before we start: velocity improvement, WIP reduction, deployment frequency, meeting hours saved. We measure at the end of each phase and publish results in a formal report.
Do you change the Agile framework we use?
We work with your existing framework (Scrum, Kanban, SAFe, etc.) and redesign within it, not around it. You keep what works; we enhance what doesn't.
What happens after the engagement ends?
You own everything we build. We document all tools and processes thoroughly. Many of our clients continue with ongoing AI coaching and tool maintenance support, so your AI capabilities keep evolving long after the initial engagement.