Predictiv Engineering
From AI coding tools to an organisation that delivers with AI
Individual developers already get help from AI. The harder problem is organisational: who decides, what the agents may do, how knowledge is kept, and how anyone knows the output is right. This site explains how one enterprise software organisation answered that, and what the answer does not yet prove.
The problem
Writing code is rarely what limits a software organisation. Requirements drift, knowledge sits in people’s heads, reviews queue, and changes reach customers without anyone able to say what was checked. Faster code generation on its own makes those weaknesses arrive sooner.
The response
An AI Operating Model: people set direction and keep the decisions reserved to them, agents carry defined work inside enforced controls, knowledge is maintained where every session can read it, and outcomes and failures produce evidence. The agent is one layer inside that model, not the model itself.
The evidence
Every figure on this site is labelled: documented design, internal measurement, owner-reported, or external context. None is independently audited. The records do show controls that bite: more recorded phase-exit attempts fail than pass, which means work is held until it meets the bar.
Operating model
People, governed autonomy, work and measurement
Case study
What was built, used, learned and can transfer
Architecture handbook
The whole platform, organised by TOGAF’s method
Assurance
Security and AI governance, with their limits
What this does not claim
It does not claim a productivity multiple, certification against any standard, or a harness product that others can download. The documented application is software delivery and support in one organisation. Wider transformation is the direction of travel, not a result.
Applying it elsewhere
The method transfers more readily than the tooling: decide which decisions stay human, write the rules down, enforce them where the agent acts, and make evidence the only currency for progress. Craig Spong, founder and CEO of Syntegra and the architect of this capability, takes on bounded engagements to help an organisation do the same.