CTO playbook
This is the human-readable surface of a deeper agentic operating structure: a staged CTO playbook for SaaS startups that can build software quickly, but need a safe path through identity, governance, data protection, Azure, delivery, recovery and production promises.
Why this exists
Agentic delivery can compress the coding phase, but it does not remove the work around the product: identity, contracts, data, cloud governance, recovery, customer evidence and operational promises. The public playbook shows the structure and intent; the deeper assessment model stays behind the work.
Read the starting pointCurrent playbook
For founders and CTOs creating the operating shape while the product is still forming. The gates keep the POC light, introduce governance before external users depend on the product and make Production a deliberate business commitment.
Future playbooks
A different playbook is needed when a CTO enters an established company. The agentic workflow should assess the current state, find drift, prioritise remediation and bring the organisation back into line without pretending it is a startup.
The journey
Each stage exists to answer a different risk question: what can stay throwaway, what must become governed, and what needs to be true before customers rely on the platform.
The first few months of a software business are not just about building the product. They are about creating the conditions that allow the product to be built, deployed, governed and supported without the company tripping over its own foundations.
Before starting the POC, there is a small amount of governance that should be put in place. This is not about slowing the team down or pretending to be an enterprise. It is about creating enough shape that the first few months do not become a mess of forgotten passwords, inconsistent names, unclear decisions and accidental access.
Before moving from POC to Pilot, the company needs a data governance baseline. This is separate from technical governance. Technical governance asks who can deploy, who can access Azure and how the environment is built. Data governance asks what information the company collects, where it is stored, why it is allowed to hold it and how it protects it.
Before moving from Pilot to Production, the company needs a pre-production governance stance. This is the point where the business has to decide what promises it is prepared to make, who is allowed to make changes, who can accept risk, and what evidence must exist before the production environment is created.
Before moving from Pilot to Production, the company needs a pre-production governance stance. This is the point where the business has to decide what promises it is prepared to make, who is allowed to make changes, who can accept risk, and what evidence must exist before the production environment is created.
Production is a different level of commitment. By this point the company is no longer just proving that the product can work. It is making an operational promise to customers, investors and itself.
Gate model
The research defines each transition from Day Zero to Production Scaling as a gate: what must be true, what evidence should exist and what risks are being accepted.
