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Autonomous Agents

Keep complex work moving towards the goal.

For work that spans several steps, systems and days. Autonomous Agents work towards an agreed goal, carry approved context between steps and pause at checkpoints when a decision, prerequisite or approval is needed.

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Conceptual diagram: a goal-driven plan whose path of tasks passes two human checkpoints on its way to the goal, with one discarded branch.

Where Autonomous Agents help

Use them when the work is goal-driven rather than one request and one reply, and when progress depends on several sources or systems.

Resolve delivery exceptions

Bring together delivery evidence and driver updates, prepare the next action and ask dispatch to approve exceptions.

Logistics & Transport

Prepare complete quotations

Work through product requirements, catalogue information and account context, then hand a quotation draft to sales.

See product reasoning

Research and follow through

Compare evidence from approved sources, record open questions and prepare a sourced report with clear next actions.

Browse the workflow library

A continuous improvement loop.

We design the workflow and its improvement cycle together. Task context supports the next step, while recorded outcomes and reviewed feedback inform approved changes.

Fictional specialists reviewing drawings and material samples, linked by a purple particle stream.
Illustrative workflow. Context, continuation and approvals are agreed for each implementation.
  1. 01

    Agree the goal

    Define the outcome, owner, permitted actions and completion criteria.

  2. 02

    Keep the right context

    Carry approved records and task progress between the agreed steps.

  3. 03

    Plan and use tools

    Choose the next permitted action and work with the connected business systems.

  4. 04

    Pause at checkpoints

    Ask for missing information or human approval before continuing.

  5. 05

    Record the outcome

    Save the result and handoff so the team can see what happened.

  6. 06

    Review feedback and improve

    Review exceptions, validate changes to instructions or tools and approve updates before rollout.

Human review

Autonomy within agreed boundaries

Keep autonomy within agreed permissions. Preserve the context needed to review a decision, and pause when a prerequisite, approval or reliable answer is missing.

  • Agree permitted systems, tool actions and stop conditions before launch.
  • Define which task context can be retained, who can access it and for how long.
  • Require human approval for sensitive actions and for changes to instructions or tools.
  • Record each step so the team can see what was done and why.
Human review

Common questions

The agent carries work through several permitted steps towards a defined goal. It uses the available context, checks progress and asks a person when an agreed boundary is reached.

Your team and Multibot review outcomes, exceptions and feedback. We use that evidence to refine instructions or tools, validate the agreed changes and obtain approval before rollout. Agents do not change their own instructions in production.

We scope longer-running work, retained context and continuation checkpoints around the process and connected systems. The implementation defines when work can continue, wait or return to a person.

We choose the model and provider for each task during scoping, based on the language, accuracy, latency and data-handling requirements. The workflow is not tied to one provider, so a step can be changed later if the agreed requirements change.

Related pages

Discovery call

Start with the work that slows you down.

Bring us a process, a recurring enquiry or a pile of documents. We will explore where agents fit and what a useful implementation needs.

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