Built around the way real operations work
A workflow is how work gets done. It combines repeatable steps and situational judgment across your team and its tools. Malleable keeps that whole system visible, runnable, and safe to change.
The Architect
Your experts describe the work. The operation takes shape.
The Architect turns conversations, examples, and existing artifacts into a visible workflow: goals, stages, decisions, handoffs, integrations, and the reasons behind them. Your team refines the operation in plain English instead of translating its expertise into software requirements.
The people who understand the work can design and change how AI helps them—without waiting on an engineering backlog.
Explore The Architect →The Orchestrator
Every run follows the process without losing judgment.
The Orchestrator executes each stage inside the goals, context, and constraints your experts defined. It gathers what is missing, acts across tools, changes paths when the situation demands it, and brings in a person when the decision belongs with them.
AI can handle the whole operation, not merely an isolated task or one turn of a chat.
Explore The Orchestrator →Malleability Spectrum
Choose where the operation adapts—and where it stays predictable.
Every stage sits somewhere between predictable control and adaptable intelligence. Your experts can define a fixed path where consistency matters, leave room for judgment where context matters, and choose the right boundary for the work in between.
Your team gets dependable execution without forcing uncertain work into rigid rules—or giving an agent unnecessary freedom.
Explore Malleability Spectrum →Self-healing workflows
A changing system should not silently break the operation.
When an app, data shape, or real-world condition changes, the workflow has enough context to recognize that the old path no longer works. The agent can keep the run moving when it is safe, explain the exception, and propose a durable improvement for your team to review.
Failures become visible learning opportunities instead of archaeology across a chain of brittle automations.
Explore Self-healing workflows →Agentic Forms
Collect the information this situation actually needs.
The interface adapts to the run. It can prefill what Malleable already knows, explain why an answer matters, ask a useful follow-up, and avoid making someone complete fields that are irrelevant to their case.
People get a focused interaction, while the operation receives complete, decision-ready context.
Explore Agentic Forms →Handoffs
Bring people in for decisions, not process babysitting.
Malleable pauses at the point where human authority or expertise matters and presents the right person with the history, recommendation, and consequences of the choice. Once they decide, the operation continues without a coordinator moving information between systems.
Your experts keep control of consequential judgment without becoming the workflow's routing layer.
Explore Handoffs →Model routing
Match the intelligence—and cost—to the work.
Different stages call for different levels of reasoning. Malleable routes work to an appropriate model and can use deterministic components where no model is needed, preserving stronger reasoning for the moments where it changes the outcome.
The operation stays economically practical as it moves from a compelling pilot to hundreds of real runs.
Explore Model routing →