Work
Scaling Advocacy in FS&I with Agentic AI
See how ProveIt transformed customer service and advocacy in FS&I with Agentic AI—faster replies, scalable support and full human oversight.
Read more →The era of scaling delivery by adding people is ending. The future belongs to those that design, orchestrate, and govern agent-driven software development.
Book a BriefingYou are being asked to move faster.
Finance is asking why software still costs so much if AI can generate code.
The board is asking why delivery timelines have not collapsed.
Your teams are experimenting with tools that change every month.
You cannot afford to back the wrong approach.
Adopt too aggressively and you risk instability.
Move too cautiously and you look behind.
Automate the wrong layer and you create technical debt at machine speed.
This is larger than a tooling decision.
It is a delivery model decision.
Traditional delivery scales with headcount.
More roadmap means more engineers. More engineers means more cost.
That relationship is now under scrutiny.
Agents can generate code, write tests, refactor systems, document changes, and analyse requirements at speeds that make linear scaling look inefficient. Yet most engineering organisations are still structured around human throughput.
The tension is clear.
If AI increases output, why has cost not reduced?
If automation is real, why does delivery still feel constrained?
Layering AI tools onto a traditional delivery process simply accelerates existing patterns.
It's time to redesigning them.
An Agentic SDLC extends beyond faster code generation.
Requirements can be decomposed by agents.
Code can be generated and validated automatically.
Tests can be written in parallel.
Documentation can be produced continuously.
Humans shift toward system design, guardrail definition, architectural decisions, and intervention at critical control points.
The constraint moves from individual effort to orchestration, governance, and system architecture.
Engineering capacity is expanding.
Delivery economics have shifted.
We are redefining how software gets built.
You are a CIO who is tired of scaling software delivery by adding headcount.
What This Looks Like In Practice
Work
See how ProveIt transformed customer service and advocacy in FS&I with Agentic AI—faster replies, scalable support and full human oversight.
Read more →
Work
Dootrix built an AI-native prototype for Fynlo in under a week, delivering real emissions tracking, offsetting, and intelligent fleet insights.
Read more →Step 1 – Executive Briefing
⌛ 60 minutes
💡 What you need to know and why it matters now.
Step 2 – Opportunity Workshop
⌛ 1 day
💡 Identify automation or agentic use cases.
Step 3 – Sprint Engagement
⌛ 5 days
💡 Build, validate, deploy
Join The Conversation
The Next Thing Now Podcast
e010 The Next Thing Now Podcast. Microsoft announce the end of work. What does it mean for the rest of us?
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webinar
AI first tooling and process have given our product teams super powers. We complete 3 months work in just 5 days. Find out how you can apply this too.
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Insights
From builder to orchestrator. Six lessons from the agentic trenches and why the future of software development is about clarity, architecture, and intent.
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Insights
An agentic SDLC is different. A system definition not backlog decomposition. Specification is design. Code is regenerated, and refactored frequently
Read more →A tailored briefing for your team
This is a strategic conversation designed to reframe how you think about execution, automation, and where the real constraint sits in your organisation. This is a window into how we think and why it matters for you.
Time to build Agentic Capacity.
workshop
Uncover the Agentic opportunities in your organisation and establish clear next steps on how to move forward in the new world.
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Sprint
Discover how the AI Design Sprint turns ambitious ideas into working prototypes in just five days with AI-native development.
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