Autonomous automation

Work that keeps moving without someone watching it.

Automation is supposed to take work off your plate. But when someone still has to check every input, notice every failure, and rescue every exception, the work was never really automated. Malleable runs the operation on its own and involves your team only when a decision truly belongs with them.

Beyond unattended execution

Autonomous means the operation does not need a babysitter.

An autonomous automation can start from an event or schedule, gather what it needs, make progress across systems, and respond when reality differs from the expected path. A person does not have to keep checking whether the next step happened.

That does not mean giving AI unlimited authority. Your experts define the goals, constraints, and decisions that require a person. Malleable handles the coordination around those boundaries and escalates with the relevant context when human judgment is needed.

Real autonomy

Independent execution, with dependable boundaries.

Autonomy comes from combining an explicit process with agents that can navigate the situations the process encounters—not from removing oversight or hoping a long prompt behaves.

Starts without prompting

Events, schedules, submissions, and incoming messages can begin the work. No one has to remember to open a chat and ask the agent to proceed.

Handles imperfect reality

Malleable can gather missing information, interpret unstructured inputs, and adapt when a routine case takes an unfamiliar turn.

Coordinates to the outcome

The automation moves work across tools, teams, and dependent steps instead of stopping after one task and leaving a person to carry the baton.

Knows when to ask

Decisions involving authority, risk, or irreplaceable expertise go to the right person with the history and recommendation already assembled.

The operating model

Give the operation an outcome, not a list to babysit.

Malleable keeps routine work moving while preserving clear places for control, review, and improvement.

  1. 01

    Trigger

    The operation begins when work arrives, a condition changes, or a scheduled moment occurs.

  2. 02

    Understand

    Agents gather context, interpret the situation, and determine how the expert-defined process applies to this run.

  3. 03

    Act

    Malleable completes the work across systems and follows through on dependencies until the outcome is reached.

  4. 04

    Escalate

    When a decision belongs with a person, Malleable pauses there—not everywhere—and continues after they decide.

In practice

Autonomy is measured in work completed, not clicks automated.

The useful unit is an operational outcome that reaches completion while your team focuses elsewhere.

Meter configuration at Guidewheel

Field teams submit a few installation details and move on. Malleable performs the repetitive meter configuration work in the background without requiring them to supervise it.

Read the Guidewheel story

Reorder exception review

A workflow monitors changing inventory conditions, investigates exceptions, and routes only the consequential decisions to the people responsible for them.

Explore the workflow
A buyer's checklist

Ask what still depends on a person.

A flow can run unattended and still leave its exceptions, follow-up, and maintenance with your team. Evaluate the whole operation.

  • Can work begin without someone opening a chat or pressing a button?
  • Can the automation recover from missing information and unfamiliar cases?
  • Can it coordinate multiple systems and participants through to the outcome?
  • Does it escalate only the decisions that actually require human authority or expertise?
  • Can your team understand every run without continuously monitoring it?