Governed from the first run
Goals, limits, permissions and the decisions that need a person are written into the operation, where everyone can see them.
Agentic enterprise
Build the agentic enterprise one operation at a time.
In an agentic enterprise, most recurring work runs on its own. You get there one operation at a time: put one real operation into production, with clear limits, people in charge of the decisions and a record of every run, then expand from what works.
For example
One team starts with contract review. Malleable reads each contract, flags the clauses that break policy and waits for legal to approve the changes. When that runs well, the next team brings its own process.
What it takes
It takes more than a chatbot for every employee.
In an agentic enterprise, operations coordinate across systems and teams, make decisions within limits, bring people in when their authority matters, and keep moving on their own.
Each operation in production needs what enterprise teams already expect: a clear owner, dependable limits, a record of every run and a safe way to change it. Malleable builds those into the operation from the first run.
Built for production
Ready for production now, with room to grow.
The structure that makes one operation safe to run is the same structure that keeps control as more teams build their own.
Owned by domain experts
The people accountable for an operation decide where the AI can use judgment, and refine it through real use. On Enterprise, IT controls which apps and models teams can use.
Connected across teams
An operation hands work to people and to your apps with the context it has gathered. It can also run a smaller operation as one of its steps, so a large process can be split into pieces.
Every run on the record
Every run records what the AI did and what people decided. Each operation's diagram shows how the work is meant to go, so anyone can check a run against it.
How it works
Start with one operation you can measure, and expand from what works.
Malleable supports a gradual rollout. Each operation that works shows the next team what to expect.
- 01
Choose
Pick recurring work where faster, more consistent handling would show up in the results.
- 02
Define
Your experts spell out the outcome, the rules and which decisions stay with a person, in a diagram everyone can read.
- 03
Operate
Run it in production, check what each run did, measure the result and improve it from feedback and real exceptions.
- 04
Expand
Take what worked to the next team. One operation can carry work from one team to the next, and a large process can run smaller operations as its steps.
In practice
It starts with ordinary work running better.
Each operation that does real work safely in production makes the case for the next one.
Meter configuration at Guidewheel
A field-service SOP became an operation in production that the team adopted within two weeks. It does the repetitive configuration work in the background.
Read the Guidewheel storyInsurance operations
Explore example operations across intake, underwriting, policy changes, compliance and document review, each run by the experts who own the work.
Explore insurance operationsA buyer's checklist
Look for a path from pilot to operating model.
The right platform gets one operation working quickly and keeps IT in control as more teams build their own.
- Can one team put a meaningful operation into production without waiting for a company-wide transformation?
- Are the limits, permissions and the decisions that need a person written into the operation?
- Can teams own their operations while IT controls which apps and models they use?
- Can one operation carry work across systems and teams with the context intact?
- Can you measure each operation's value and expand from the ones that work, instead of multiplying disconnected pilots?
Let's pick an outcome to improve. See results in days, not quarters.
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