What arrived
A founder-built platform, moving fast, already in production.
Dynamic CX is contact-centre intelligence: calls in, transcripts and AI analysis out, the CRM updated without anyone typing. Its founder built it with AI, quicker than a dev team would have, and real tenants were using it. What it did not yet have was the ground under it: hardened environments, automated releases, the security posture buyers ask about. The brief was blunt: keep the speed, and take the platform to the standard buyers, investors and enterprise customers expect.
What was done
The ground first, then a system that keeps speed safe.
The foundations came first. One hand-run environment became development, staging and production, defined in code: automated deployments, separated deployment and runtime identities, managed secrets, and verification steps that fail a release before it can fail a customer. On that ground, a review system: plan-first reviews, every pull request read before staging, and each finding folded into checks the AI tooling applies from then on. Alongside review, we led builds inside the platform: the pipelines that carry every call from ingestion to analysis, an AI matching engine on Claude and Gemini, and the integrations that write results back into the tools its customers already run on.
What changed
Faster than before, and safe at that speed.
The platform did not slow down to get safer. More change landed in the last seven weeks than in its first three months, with more than 15,000 automated tests now standing behind it. High-severity issues are caught before staging rather than by customers; release checks cover every deployment, and anything they flag is fixed the same day. In the second week a background job went from 55 seconds to 2. Nearly a year on, the engagement is still running: every pull request reviewed, releases landing week in and week out, and a plain-English note on what was done and what is next.