Solutions Ai Governance

AI governance for workflow automation and audit-ready operations

A governance layer for AI-driven operations: policies permissions and audit-ready execution.

Workflow Engine
Lead Deal Quote Order Invoice Payment Reconciliation Renewal
Synced
All systems
Active
12 workflows
Audit trail
100% logged
One workflow engine. One audit trail. One source of truth.
Trusted by more than 1000 back-office teams

AI governance that keeps automation safe, reviewable, and auditable

AI is most valuable when it can propose and execute actions across CRM, billing, and finance. It becomes risky when decisions cannot be traced, approvals are bypassed, or data access is unclear. Sanka is designed to keep AI-driven operations inside governed workflows: policy checks, human approvals, and an always-on audit trail.

Control

Define what AI can do, when it can do it, and which changes require review before they apply.

Human-in-the-loop

Route exceptions to approvers with thresholds and reviewer history so decisions stay defensible.

Audit trail

Trace what changed, who approved it, and which inputs were used to reach a decision.

What to govern: inputs, actions, and data access

AI governance is not one feature. It is a set of controls that make automation predictable in real operations.

  • Inputs: which records and fields AI can use as context
  • Actions: which operations are allowed (create, update, approve, export)
  • Exceptions: what requires approval (amount thresholds, term changes, overrides)
  • Validation: checks before execution and after execution
  • Observability: logs, retries, and clear failure states
Governance surface Why it matters Example
Policy checks Prevent invalid or non-compliant actions Block a payment-term change when required fields are missing
Approval gates Reduce financial and compliance risk Require finance review above a discount threshold
Audit history Makes decisions defensible Record who approved a reversal and when
Deterministic execution Keeps automation predictable Idempotent runs avoid duplicate invoices
[PROPOSE] Update invoice terms for "Acme"
-> Reason: contract renewal
[WAIT] Approval required: payment terms change
[OK] Approved by Finance Manager
-> Applied update
-> Logged to audit trail

Governance primitives you can reuse everywhere

Apply the same controls across quote-to-cash, procure-to-pay, and close workflows.

Permissions

Role-based access for who can draft, approve, and execute actions.

Approvals

Threshold-based review for financial and operational exceptions.

Audit-ready history

Trace inputs, decisions, and outputs across connected systems.

Implementation checklist

Start small, prove safety and traceability, then expand to more actions.

  1. Define guardrails: list allowed actions and the fields that require approval.
  2. Map ownership: decide who approves what (sales manager, finance, ops, IT).
  3. Standardize triggers: choose events (stage change, order created, payment received).
  4. Operationalize monitoring: review failures, retries, and exception queues weekly.

Helpful docs: Developer API

Frequently asked questions

Does AI governance slow teams down?
It should do the opposite. Apply approvals only where risk is high, and let safe actions run automatically. The goal is faster execution with fewer mistakes and disputes.
How do we decide what needs approval?
Start with high-impact changes: discounts, payment terms, refunds, write-offs, vendor payments, and master-data edits. Use thresholds and exceptions rather than approving everything.
Can we prove what happened during an audit?
Yes. Treat every action as part of a workflow with timestamps, owners, and an audit trail of inputs and decisions.
Can we integrate with existing tools?
Most teams connect CRM, commerce, payments, and accounting tools and then apply governance on the workflow layer rather than rebuilding systems.