Offer / 02 · Build
Agents that do real work — and can prove it.
Production-grade AI agents connected to your business systems — tested, governed and monitored, with managed operations from day one.
Who it’s for
Functions with high-volume, rule-rich, exception-prone work — service, finance operations, compliance, procurement, PMO — where a governed agent can take on execution while your people keep judgement, relationships and accountability.
What you get
- 01A production agent integrated with your systems of record — not a chatbot beside them.
- 02A documented human-agent workflow: approvals, exceptions, escalation paths.
- 03Evaluation sets and test results for accuracy, safety, reliability, latency and cost.
- 04Permissions, transaction limits, audit trail and shutdown control — configured and evidenced.
- 05Managed Agent Operations from go-live: monitoring, incidents, quality review, updates, cost management and monthly reporting.
How it works
Phase / 01
Weeks 1–2
Workflow redesign and agent specification.
Phase / 02
Weeks 3–6
Build, integrate, prepare data and configure governance.
Phase / 03
Weeks 7–8+
Evaluation against agreed thresholds, user training, gated go-live — then operations.
The seven gates apply
No agent goes live without passing all seven production gates — see our Approach. That is the difference between an agent in production and a liability in production.
- 01
A named business owner
Someone in the business accepts accountability for the outcome and operating risk — not the vendor.
- 02
Documented process & approvals
The workflow, human approvals and exception paths are written down, reviewed and versioned.
- 03
Approved data & access
Sources, access rights, retention and permitted use are signed off before any model touches them.
- 04
Defined & tested targets
Accuracy, safety, reliability, latency and cost targets are specified and measured against evaluation sets.
- 05
Least privilege by default
Agent permissions, scopes and transaction limits follow least privilege — and are reviewed regularly.
- 06
Operational controls
Monitoring, logging, incident response, rollback and shutdown controls are in place before go-live.
- 07✓Applied to every engagement — including our own.
Financial baseline
A baseline and benefits-measurement plan are agreed before launch — so success can be evidenced.
Frequently asked
- Which platforms and models?
- Model-agnostic — selected per task on accuracy, data sensitivity, latency, language, cost and sovereignty, including private and on-premises options.
- Can it run in our environment?
- Yes — cloud, hybrid or private deployment, subject to the same controls.
- What does “managed” include?
- Tiered: Monitor, Manage, Assure, Operate, Outcome — see Managed AI Operations.
Next step
Scope a production agent.
Tell us the workflow. We’ll tell you whether an agent is the right shape, what it would take to govern it, and what it would cost to run.