Make the agent production-ready
A production agent needs a real workflow, approved knowledge, tool permissions, measurable acceptance, exception handling and an operating owner—not only a model and prompt.
Enterprise AI solution / Production AI Agents
Build AI agents that perform real work—under explicit control.
Move from workflow design to production release with enterprise knowledge, system connections, evaluation evidence and accountable operations.
01 / Business trigger
Recognise the operating problem.
A material workflow has measurable delay, rework or service-quality problems and its sponsor is prepared to move beyond demonstration.
- Primary audience
- Business function leaders, CIOs, product owners and operations leaders
- Target outcome
- A production agent connected to approved knowledge, tools and systems, with tested quality, bounded authority, monitoring, rollback and an operating owner.
02 / Target operating outcome
Make the whole capability visible.
A production agent connected to approved knowledge, tools and systems, with tested quality, bounded authority, monitoring, rollback and an operating owner.
- 01Workflow and baseline
- 02Approved knowledge
- 03Agent and tools
- 04Authority and evaluation
- 05Managed operation
The operating architecture progresses through Workflow and baseline, Approved knowledge, Agent and tools, Authority and evaluation, Managed operation.
03 / Operating narrative
Move from decision to accountable operation.
Anchor the build in a measurable workflow
Define the trigger, current baseline, decisions, handoffs, failure modes and desired operating result before engineering begins.
Connect knowledge, tools and systems
Ground responses in authorised sources and expose only the actions and system connections needed for the approved role.
Set agent authority and human approval
Specify what the agent may inform, recommend, prepare or execute, and where a person must review, approve, stop or recover the work.
Build evaluation and release evidence
Test business quality, safety, reliability, latency, cost and edge cases against repeatable acceptance criteria.
Operate high-impact agents as services
Monitor quality, permissions, incidents, knowledge changes and value after release, with clear rollback and change control.
Prepare the workflow for delivery
The client provides an accountable owner, process access, approved data and systems, subject-matter experts and timely acceptance decisions.
Choose the connected capability
Production agents often depend on stronger enterprise knowledge, trusted authority design and managed operations.
05 / Delivery system
Reinvent. Build. Trust. Operate.
The engagement starts with the strongest entry point for the operating outcome, then draws on the service stack required to reach acceptance.
- BLD-01
- BLD-02
- BLD-03
- BLD-05
- BLD-06
- TRU-04
- OPS-01
06 / Authority and safeguards
Keep accountability close to the work.
- 01Least authority
- 02Human approval points
- 03Evaluation before release
- 04Monitoring and incidents
- 05Rollback and recovery
07 / Engagement and acceptance
Agree what must be true.
Acceptance evidence. The agent meets agreed business, technical, trust and operating criteria in the target workflow before production release.
Boundary. Autonomy is bounded by the workflow and risk context. Material decisions remain with authorised people unless a named risk owner accepts a different authority level.
Client commitments
- Named workflow owner
- Approved knowledge and system access
- Subject-matter review and acceptance participation
09 / Qualified conversation
Bring the operating outcome.
Share the business trigger, accountable owner, measurable baseline, timing and desired operating result.