AI Operations OS · Workflows and agents

Agents work inside the workflow — not beside it.

Alltera does not ship a catalog of standalone agents. Specialized agents run inside an end-to-end workflow, with states, exceptions, and Human-in-the-Loop already defined.

Role

The workflow is the unit of value. The agent is infrastructure.

A case has a trigger, intake, context, decision, action, exception, and result. Agents coordinate steps, call skills and tools, and hand off when risk or policy requires a person.

Autonomy is progressive. An agent that ranks a collections queue is not the same as an agent that posts a ledger adjustment. The OS keeps that distinction explicit.

Fig. 01Case in production
  1. 01Trigger
  2. 02Intake
  3. 03Decide
  4. 04Act
  5. 05Close
  6. Exception · Human-in-the-Loop
  7. Evaluate · raise or freeze autonomy
In production

What agents do when the case is real.

01

Orchestration

Plan the next step from workflow state, not from an unbounded chat.

02

Skills, not prompts as product

Reusable skills classify, extract, reconcile, draft, and decide under policy.

03

System actions

Write back to ERP, CRM, and the system of record — the case must complete where work already lives.

04

Exception routing

Low confidence, missing data, or authority limits stop the path and create a human task.

05

Evidence

Every material action leaves a trail: input, policy, model route, and outcome.

06

Evaluation

Quality is measured on live cases, then used to raise or freeze autonomy.

Start with the workflow the agent must serve.

We map the case before we introduce an agent.

Agents work inside the workflow — not beside it. — Alltera