Educate, Build, or Sustain - each track is designed for a different position on the AI maturity curve. The outcome is the same: AI that runs, is measurable, and is owned by your team
For organisations that need to understand their AI position before they commit to building anything. This track delivers:
For organisations that have a pilot, a stalled initiative, or a feature that needs to ship. This track delivers a system that is:
For organisations whose AI is in production and needs to stay there. This track delivers:
There are no free pilots. The APMM Diagnostic Sprint is the entry point - because real diagnostic work takes time and expertise, and a paid engagement produces an honest one. You get a complete diagnosis regardless of whether anything follows.
Every engagement has a named deliverable list, a fixed timeline, and an end date agreed before work starts. Open-ended engagements are not offered because they are a structural invitation to expand scope without expanding value. If the problem is larger than the initial scope, we tell you - and scope a second engagement.
AI augments your team's decisions. It does not replace professional judgment on consequential matters. Every system we build defines, before deployment, where human override sits - and that boundary is non-negotiable regardless of how confident the model appears.
We train your team to sustain what we build. Every engagement concludes with a handover session, documented architecture, and a runbook. The engagement relationship continues because it is valuable - not because leaving would be painful or technically impossible.
Every engagement produces artefacts your organisation owns completely. Architecture documentation. Runbooks. Decision logs. If the engagement ends tomorrow, your team has everything they need to continue. That is not a contingency - it is the design.
What "production-grade" means at Devverse Labs - defined before any build begins, measured after every deployment.
| Standard | Definition | In Practice |
|---|---|---|
| Reliability | >95% uptime minimum, agreed before build | Monitored post-deployment. Not a marketing claim - a contractual baseline. If we cannot define and measure it for a given system, we say so before the engagement starts. |
| Observability | Error rate defined per system. Cost per run budgeted. P95 latency agreed before architecture decisions. | Every production system has monitoring in place at handover. You can see what the AI is doing, what it costs, and where it fails - without asking us. |
| Handover | Rollback capability required on every system | Your team receives the full codebase, the architecture documentation, model versioning, and a defined fallback procedure. You do not rent AI from us. You own it. |
Fixed engagements exist to protect both sides. A retainer from day one creates the wrong incentive structure - the work expands to fill the time rather than the scope driving the timeline. Fixed duration with named deliverables means the engagement ends when we've delivered what we said we would deliver. Once a production system is running and your team is trained to maintain it, the retainer conversation makes sense. Not before.
In most cases, yes. The APMM diagnostic maps your current stack - existing models, APIs, and tooling - and the remediation or build work takes place within it wherever possible. We do not require you to migrate to a specific vendor stack. Where a tool is genuinely the source of the problem, we say so explicitly in the diagnostic, with evidence, before recommending any replacement.
We tell you. The diagnostic report will name the problem, explain why it falls outside our scope or capability, and recommend who should handle it. This happens rarely, but it happens - particularly in regulated industries where data handling constraints limit what is technically addressable. If the honest answer is "this needs a different specialist," you get that answer from a complete diagnostic, which is still a better outcome than another quarter of informed speculation.
Full codebase in your repository. Architecture documentation your team can maintain. A runbook for operational issues. Model versioning and rollback procedure. Usage and cost monitoring configured and handed over. A recorded handover session with your engineers. These are not conditional on scope or price tier - they are included in every Build engagement.
30 minutes · Written follow-up within 24 hours · No pitch