Job and evaluation design
Define the agent’s responsibility, representative tasks, expected outcomes, permissions, stop conditions and the examples used to evaluate it.
Custom AI agents with a job, boundaries and a way back.
Design and build custom AI agents that work across business systems with permissions, evidence, human review and recoverable actions.
The direct answer.
A useful operations agent needs more than a conversational interface. TWIMCO defines the job, connects the necessary systems, limits what the agent can do, records evidence, routes exceptions to people and measures whether the work was completed correctly.
A good fit
When this work is worth considering.
- 01People repeatedly gather context from several systems before taking the same kinds of action.
- 02The work contains judgment, but the boundaries and escalation points can be described.
- 03An agent must act through business software rather than only answer questions.
- 04The organization needs auditability, review and recovery when an action is incomplete or wrong.
The engagement
What TWIMCO can take responsibility for.
The exact scope follows the product or workflow. These are the connected responsibilities we examine together rather than treating them as isolated deliverables.
Tools and orchestration
Connect the model to approved data and actions through APIs, business rules and workflows that preserve the state of the underlying systems.
Human control
Give operators queues, evidence, approvals, corrections and escalation paths so the agent becomes part of accountable work.
How the work moves
A first phase that earns the next one.
We begin with a bounded question, make the work visible and use evidence from a working path to decide what should follow.
Choose one owned responsibility.
Start with a job that has a clear beginning, observable outcome and person responsible for the surrounding process.
Separate suggestions from actions.
Read access, proposed changes, approved actions and autonomous actions carry different risk. We design those levels explicitly.
Test ordinary work and difficult exceptions.
An evaluation set includes common cases, ambiguous requests, missing information, conflicting instructions and the situations that should stop for review.
Where risk hides
Questions to settle before they become surprises.
Good engineering reduces uncertainty while it builds. These are common issues the engagement should make explicit.
The agent sounds right but leaves systems wrong.
A polished response is not proof that a record changed, a message was delivered or a workflow completed. System state must be checked.
Permissions follow convenience.
Tool access should match the agent’s job and risk. Broad credentials turn a narrow automation into an avoidable security and operating problem.
Exceptions disappear into conversation history.
Incomplete work needs a durable owner, status and next action rather than an answer that only exists in a chat transcript.
Relevant experience
Work that makes the capability concrete.
These public examples explain TWIMCO’s role without exposing proprietary client systems.
Spin:Market
Operators can use natural language to manage music, video, announcements, scheduling, devices, DJs and account work across the platform.
Explore this evidence ↗︎Sutton|PlaceTWIMCO built software, AI agents and workflows around a continuing set of operational problems.
Explore this evidence ↗︎Buyer questions
Useful answers before the first call.
What systems can an agent connect to?
Any system with a suitable API, database, controlled browser workflow or approved integration path may be a candidate. Access, reliability and terms have to be assessed for each system.
Do agents have to act autonomously?
No. Many valuable agents gather evidence, draft work or propose an action for approval. Autonomy should expand only when the task, controls and observed performance justify it.
How do you evaluate an operations agent?
Use representative tasks with expected outcomes, then measure correctness, completion, unsupported claims, escalation quality, time and the state of every affected system.
Can one agent manage an entire business?
A single interface can coordinate several specialized jobs, but each responsibility still needs its own permissions, evaluation and failure path.
What happens next
Start with a fit conversation.
We will understand the situation, identify the uncertainty worth resolving first, and decide whether a bounded discovery, validation or build phase is useful.