Governed from the first run
Goals, constraints, permissions, human decisions, and escalation paths are explicit in the workflow rather than scattered across prompts and tribal knowledge.
The destination is an enterprise where a web of agentic operations carries most recurring work autonomously. The practical path starts now: put one real operation in production with clear guardrails, human authority, and a complete audit trail—then expand from what works.
At its most ambitious, an agentic enterprise does not merely give every employee a chatbot. Its operations can understand context, coordinate across systems and teams, make bounded decisions, involve people when their authority matters, and keep moving toward outcomes on their own.
That future is built incrementally. Each production operation needs the things enterprise teams already expect: explicit ownership, dependable boundaries, observable execution, attribution, and a safe way to change. Malleable makes those requirements part of the operation from the first run.
Governance and autonomy are not competing phases. The structure that makes one agentic operation safe is also what lets many operations connect and scale without losing control.
Goals, constraints, permissions, human decisions, and escalation paths are explicit in the workflow rather than scattered across prompts and tribal knowledge.
The people accountable for an operation define how AI should help and refine it through real use, while enterprise leaders retain visibility across the system.
Operations can hand work to people, systems, or other workflows with the relevant context, creating a network of outcomes instead of a collection of isolated agents.
Every action and decision remains attributable within a run, while the explicit process shows leaders how work is intended to operate across the enterprise.
Malleable supports an incremental transformation: each successful operation produces reusable knowledge, confidence, and a foundation for the next one.
Begin with recurring work where greater throughput, consistency, or expert capacity creates a visible business result.
Domain experts make the outcome, process, judgment, guardrails, and human authority explicit in a visible workflow.
Run the operation in production, observe every action, measure the result, and improve it through feedback and real exceptions.
Reuse what the enterprise learns and link successful operations together until more work moves autonomously across the organization.
An agentic operating model becomes credible through production operations that complete real work safely—not through a single sweeping AI rollout.
A field-service SOP became a production agentic workflow that the team adopted within two weeks, completing repetitive configuration work in the background.
Read the Guidewheel storyExplore agentic operations across intake, underwriting, policy changes, compliance, and document review—each governed by the experts who own the work.
Explore insurance workflowsThe right platform should make one operation valuable quickly without limiting the governance, connection, and scale the broader vision requires.