Application
Processes rebuilt, agents shipped, results measured. This is where AI stops being a license line and starts showing up in cycle time, touches per case and backlog.
Think of the last internal application your team asked for, and count the weeks between the request and somebody actually using it. Most of that time was never code. It was specification, queueing, review, and waiting for someone to sign off on the risk. Agents compress the first three. We design the fourth in from the start, so the containment plan, the acceptance criteria and the kill switch are agreed before any code is written and proven before go-live. That is what makes shipping in weeks a safe thing to do rather than a brave one.
From design to production, and proof it stays safe.
APPLICATION / DEPLOY / SCOPED PER BUILD
Agent and Application Build
A working agent or custom application, built, governed and deployed.
APPLICATION / OPERATE / MONTHLY CYCLE
Agent Assurance
Agents re-tested as models change, with evidence formatted for internal audit and board reporting.
APPLICATION / READY / FIXED FEE
AI Solution Design
Architecture, model selection, integration approach, containment plan and acceptance criteria, agreed before code is written.
APPLICATION / DEPLOY / DISCOVERY THEN CAPPED BUILD
Process Re-engineering
One painful process rebuilt around agents, with impact measured against a baseline.
APPLICATION / DEPLOY / STARTS WITH CODE REVIEW
AI SDLC
A consistency layer on your existing stack, so the team ships faster and not just individuals.
Delivered inside these engagements: pilot to production, application managed service, process discovery.
THE DISCIPLINE, PUBLISHED
Every agent we build is scoped against these six. The specific settings for your engagement are agreed in the design stage and recorded in the statement of work.
Blast radius
What the agent can touch, and what it can never touch, defined before it runs.
Data protections
What it may read, what it may write, what it must never retain.
Failure modes and testing
The ways it can go wrong, written down first, then tested against them.
Monitoring and thresholds
What is watched, and at what value someone is told.
Escalation and notification
Who hears about it, how fast, and through which channel.
Kill switch and fallback
One action stops the agent and reverts to the manual process. Tested before go-live and re-tested at every model change. Reversion assumes the process retains a manual path; where it does not, the containment plan defines the degraded mode instead.
This is Quantible’s delivery discipline. It is not a certification, an audit opinion or a regulatory attestation, and it does not substitute for your own control testing. Method v1.0, August 2026.
