Production Readiness Assessment
Two weeks at a fixed price: we review your pilot, process, data and risks, and deliver a production plan. The cost is credited to the build.
AI Pilot-to-Production
Three stages that take your AI pilot into real operations: governed, measurable and yours. We specialize in the stretch most teams never cross: from pilot to production.
How we work
The problem
Real exceptions, real volume and real users break what the demo was hiding.
Without a business owner and an executive sponsor, the pilot never earns a place in operations.
Without evals and traces, nobody can show quality, cost per case or why it failed.
With no human approval, audit trail or spend caps, legal and security hold back the rollout.
What it delivers
Two weeks at a fixed price: we review your pilot, process, data and risks, and deliver a production plan. The cost is credited to the build.
Orchestration, model routing and failure recovery on our harness, deployed in your infrastructure or cloud.
A shared business memory with your clients, rules and cases, with permissions for each agent. It belongs to you.
One agent per process, connected to your systems and measured against real cases from your operations.
Human approval by role, audit trail, evals and spend caps per flow, from day one.
A monthly service: we monitor, tune and extend your agents so quality holds as your operations change.
Why Addabra
How it works
Tell us about your process and pilot in the form. We reply with next steps, not a sales sequence.
A conversation with our senior team to confirm the use case, the sponsor and the scope of the assessment.
Two weeks, fixed price. You get the production plan, success criteria and evals, and the cost is credited to the build.
Six to ten weeks on our harness, with weekly reviews on real cases and production as the finish line.
Managed AI Operations every month: monitoring, tuning and new agents on the same foundation.
At day 90
Technology
Further reading

Strategy
Why your AI pilot never reaches production: no harness, memory, evals, owner or approval flow. A practical checklist to close the gap without surprises.
October 23, 2026 · 7 min read

Harness engineering
Harness engineering explained for executives: the pieces around the AI model that decide whether your agents make it to production or stay stuck in pilot.
August 22, 2026 · 7 min read

Services
How to evaluate an AI harness partner: key questions, red flags and a practical table to choose who will take your AI agents from pilot into production.
October 28, 2026 · 7 min read
Because it is what we do: we build on our own harness, with orchestration, memory, human approval, evals and audit already solved, instead of starting from scratch on every project. You work with a senior team, see progress every week on real cases, and the code, memory and data are yours.
That is the most common starting point. The assessment reviews what already works and reuses data, integrations and prompts where it makes sense. We can work alongside your current vendor or take over the path to production.
The assessment has a fixed price you know before you start, and it is credited to the build. The build is quoted from the assessment plan, and operations are a monthly fee. No licenses and no lock-in.
Your AI keeps running in production. You can stay on Managed AI Operations, add agents on the same harness or take over with your own team using the runbook we hand over. The memory and data are yours either way.
All services