Runtime workflow

A conversation becomes work through explicit states.

Voltopus uses a repeatable loop: perceive, plan, act, observe. The loop can pause for evidence or approval, retry safely, and resume without asking the model to reconstruct the truth from chat history.

Walk through the loop

Chat with Volo

Marketing command center

Manager controlled

We have CA$500. Can you get 10 qualified orders this month without wasting spend?

Yes. Your margin, recent orders, and search intent support a focused Google Search plus Meta retargeting plan.

I can prepare the campaign structure now, keep spend under your goal budget, and ask before the first platform write.

Recommended next step

Draft one Search campaign, one Meta retargeting set, and a daily briefing plan for manager approval.

Advice

Ready

Approval

Needed

Execution

Governed

Ask Volo what to do next...

Durable agent loop

Each step leaves evidence for the next.

This is a control-plane model, not a promise that a single prompt will perform an entire business process correctly.

PERCEIVE

Resolve the situation

Read the manager’s request together with verified business facts, recent outcomes, connected systems, policy, and the current work state.

Leaves behind

Resolved context snapshot

PLAN

Choose the next useful step

Decide whether the task needs an answer, more evidence, a tool call, a recommendation, or a governed action proposal.

Leaves behind

Explicit step intent

ACT

Use a typed tool

Read data, prepare platform-native work, or submit an action through a narrow contract instead of letting model text become a side effect.

Leaves behind

Tool input and result

OBSERVE

Record what happened

Persist the outcome, external identifiers, errors, approval state, and any evidence required for a safe retry or explanation.

Leaves behind

Durable step record

Governed action path

The last metre before an external write matters most.

Planning and execution remain separate. The worker repeats the decisive checks immediately before the platform call and records the action around that side effect.

Prepare

Build a complete, platform-valid action proposal with its intended outcome.

Validate

Check commercial access, automation mode, budget, readiness, and platform support.

Review

Stop for manager approval when policy requires it; preserve the exact proposal.

Execute

Create the audit action before the external call and use an idempotency boundary.

Brief

Report success, failure, or next required decision in plain language.

Policy

Automation mode and entitlements

Approval

Exact proposal and outcome

Audit

Action status and external IDs

Operating method

Start with the workflow behind the AI idea.

Map

Find the inputs, decisions, owners, handoffs, and failure points behind the workflow.

Bound

Decide what AI may recommend, what code must enforce, and where people stay in control.

Build

Create the smallest usable work surface, tools, state, and review path that fit the operation.

Improve

Use traces, missed cases, and user feedback to refine the system without losing its boundaries.

Have a workflow that should become a system?

Bring the repeated work, the information it depends on, the decisions people make, and the outcome worth improving. The Voltopus team can help map what belongs in the workflow, what Volo can assist, and what should stay under manager review.

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