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Product operating model

Turn agent requests into governed business operations.

Myve provides the runtime layer that validates intent, enforces policy, executes mapped actions, and captures operational evidence.

Behavioral change

Agents now initiate workflows that were designed for humans.

Without an execution boundary, agent interactions bypass reliability and governance assumptions in existing systems.

Workflow quality drops under UI variation

Action authorization becomes inconsistent

Business controls are bypassed

Incident and compliance load rises

Operating response

Treat agent activity as governed system input, not autonomous browser behavior.

See execution model

Execution model

Intent in, governed actions out.

Myve handles action requests through a deterministic server flow instead of simulated clicks.

Create CRM lead

Open verified support ticket

Initiate onboarding

Submit quote request

Runtime pipeline

Validate intent contract

Evaluate policy decision

Execute mapped adapter

Record trace context

Execution remains inside your systems, not outsourced to uncontrolled automation.

Control surface comparison

Myve differentiates on operational control, not model generation.

Control levelLow to High

AI API

Agent frameworks

RPA / scraping

Myve

  • - Output generation focus
  • - No action governance
  • - No policy ownership
  • - Reasoning orchestration
  • - Depends on external tools
  • - Limited accountability
  • - UI-coupled execution
  • - High breakability
  • - Weak privacy posture
  • - Server action control
  • - Policy-evaluated
  • - Trace-backed operations
  • - Business-owned boundaries

Adoption drivers

The strongest teams adopt Myve to protect execution quality while opening controlled automation paths.

Protect conversion flow

Agent-initiated requests route through approved action paths.

Control interaction policy

Define what agents can do, when, and under which identity scope.

Stabilize operations

Reduce incident volume from brittle automation paths.

Enable partner automation

Expose controlled workflows without surrendering governance.

Operational use cases

Representative workflows where intent is validated, authorized, executed, and recorded end to end.

Lead intake

Agent submits qualified request to CRM action executes with policy to Trace context stored

Support triage

Agent opens case with identity to Routing operation runs to Audit event emitted

Seller onboarding

Agent submits registration intent to Validation + approval flow executes to Evidence captured

Workflow updates

Agent requests state transition to Authorized action applies to History remains reviewable

Operating impact narrative

This is not only technical quality. It directly changes operations cost, reliability, and governance confidence.

Without governed execution

  • - Recovery work increases from brittle paths
  • - Conversion handling becomes less predictable
  • - Audit review effort expands
  • - Policy drift grows with ad hoc integrations
Typical impact: higher operational overhead and weaker control confidence.

With Myve

  • - Action handling stays policy-scoped
  • - Teams operate from traceable evidence
  • - Execution quality remains predictable
  • - Business keeps control of integration rules
Typical impact: lower incident load and stronger operational governance.

Strategic point

Reasoning can be probabilistic. Operations cannot.

Myve separates model reasoning from business execution so operational control remains deterministic.

Run agent interactions through a governed execution runtime.

Myve brings policy, accountability, and control to business actions initiated by AI systems.