How the work actually happens.
Every Trivance engagement runs through the same delivery system — a sequence of disciplined phases, the governance baselines that wrap them, and the concrete artifacts that survive long after the engagement closes. Below is what that system looks like.
From first call to warranty window.
Six phases. Each named, each scoped, each with a defined exit criterion. Move the cursor across the phases below to see what happens at each stop.
First call. No pitch. The conversation is about what's already broken, what's been tried, and what the actual problem looks like from inside the client's organisation.
A two-page written proposal. Scope, timeline, price, in-scope, out-of-scope. Concrete enough to sign — short enough to read in a single sitting.
Before code: diagrams, data-flow, ADRs on paper. Risks and assumptions surfaced and agreed. The system is architected once — then built.
Engineering happens against the architecture. Every Friday: a working demo. Decisions logged as ADRs. No 6-week dark phase ending in surprise.
Deployment, runbook, ADRs, security report, onboarding session. The handoff package is the deliverable, not a courtesy attached to it.
Four-week warranty window. If something breaks in the first month, the engineer who wrote it fixes it. No tickets, no tiers, no triage queue.
What runs through every engagement.
The six phases above describe when things happen. The disciplines below describe how — the threads woven through every line of code, every architecture decision, every handoff document.
ISO-aligned. By design.
Governance is not a checkbox added at the end. Trivance engagements are designed against the same international standards from the first architecture diagram — so that compliance is a consequence of how the work was done, not a remediation afterwards.
AI management system.
The international standard for managing AI systems responsibly — covering risk, transparency, lifecycle, and human oversight. Applied to every AI/ML engagement we deliver, regardless of regulatory requirement.
- Documented AI lifecycle for every model shipped
- Risk assessment as a delivery artifact
- Human-in-the-loop checkpoints by default
- Auditable training-data provenance
Information security management.
The international standard for information security management systems. Applied as the security baseline for every Trivance engagement — applicable to AI products, SaaS platforms, and bespoke client systems alike.
- Threat model documented per engagement
- Vulnerability scan in the delivery package
- Access control & secrets management baseline
- Incident response runbook for every system
What you actually receive.
When a Trivance engagement ends, the client receives everything below — not as an option, not as a paid add-on, not as a "nice to have." This is the standard package.
Production source code.
The full codebase, in the client's repository, under the client's ownership. No proprietary frameworks locked behind us.
Architecture decision records.
One ADR per significant decision. Explains what was chosen, what was rejected, and why — for the next engineer who has to evolve the system.
Deployment runbook.
Step-by-step guide to deploying, monitoring, and rolling back. Tested against the live environment, not written from memory.
Security assessment report.
Vulnerability scan output, threat model, mitigation log. Aligned to ISO/IEC 27001. Suitable for security-review handoff to the client's CISO.
Incident playbook.
If the system breaks at 2am, what to do. Common failure modes, escalation paths, rollback procedures — documented as part of the build.
Onboarding session.
Live walkthrough with whichever engineer or team takes over operationally. Recorded if needed. Q&A logged. Not a courtesy — a deliverable.