A plan every run follows
An explicit plan gives every run the same structure. The AI can still work with incomplete inputs and handle the exceptions the plan didn't spell out.
AI-native automation
Automation that handles the cases nobody wrote a rule for.
You wanted recurring work to happen without you. Instead, automation came to mean flows that break on the first case nobody planned for. Malleable keeps the steps your team set and lets an AI agent handle the cases those steps didn't cover, where you allow it.
For example
A supplier's invoice doesn't match the purchase order in a way your rules don't cover. Malleable works out what changed, sends the buyer a short form with the difference and its recommendation, and updates the record once they answer.
What AI-native means
AI-native means the AI follows the whole operation.
Most automation tools added AI as one more step in a flow. In Malleable, the AI follows every step of the operation, inside the plan your team set.
That changes where you start. Your team describes the outcome, the rules and the reasons behind them, the way you'd brief a new hire. Malleable works out the steps and shows them as a diagram your team can read and change, and that diagram is what runs.
Fixed steps and AI judgment
What automation does well, plus judgment where the work needs it.
Automation made work repeatable and easy to check, but it broke when the work changed. An AI agent copes with change, but on its own it can take a different path every run. Malleable gives the agent a plan to follow and lets it use judgment where your team allows it.
Judgment inside the plan
The AI uses judgment inside steps your team can see on the diagram. It doesn't work out the whole operation from scratch on every run.
A record of every run
Every run records what the AI did and what people decided. When an app or a situation changes, the operation has enough context to recover, or to explain what needs attention.
Changed by the people who know the work
The people who know the work change it by asking in plain English. Each change goes into a draft while the published version keeps running, and every version is kept.
How it works
Describe the work, then change it whenever the work changes.
No technical builder has to translate the work first, which is what made automation slow to build and hard to keep up.
- 01
Explain
Your experts describe the outcome, the exceptions and the reasons behind their decisions, in the words they already use.
- 02
Shape
Malleable turns that into a diagram your team can read, showing the steps, the apps each one uses and where a person decides.
- 03
Run
The operation carries the work across your apps and the people involved, and records what happened at every step.
- 04
Refine
Your team asks for changes in plain English. Malleable also reviews real runs and suggests improvements, and the owner approves each one.
In practice
Recurring work, done start to finish.
AI-native automation pays off when it carries recurring work across your apps, decisions and handoffs, run after run.
Meter configuration at Guidewheel
Guidewheel turned its installation SOP into a runnable operation. Field teams submit a few inputs, then Malleable carries out the repetitive configuration work in the background.
Read the Guidewheel storyState form compliance check
An operation reads submitted forms, applies state-specific requirements, explains what is missing, and records the approved result.
See the stepsA buyer's checklist
Look for more than AI inside a flow builder.
Plenty of automation tools now have an AI step. Ask whether the AI can follow the whole operation, and whether your team can still see and control what it does.
- Can the people who own the work build it and change it themselves?
- Can it handle imperfect inputs and new exceptions without another branch for every possibility?
- Can your team choose, step by step, where the AI uses judgment and where the work runs the same way every time?
- Can your team open any run and see what the AI did and what people decided?
- Can it improve from real runs without a technical team maintaining it?
Let's pick an outcome to improve. See results in days, not quarters.
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