Solutions Ai At Work Automation

AI at Work automation for governed execution across CRM finance and operations

AI at Work helps teams automate repetitive operational actions with policy checks approvals and traceable 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

Put AI at work with governed execution

AI at Work turns repetitive cross-team operations into controlled, event-driven workflows. Instead of adding more manual coordination, teams can let AI draft, validate, and route operational actions while keeping approvals and audit trails explicit.

Agent-assisted execution

Use AI to draft next steps, fill structured fields, and prepare records so teams spend less time on repetitive updates.

Policy-guarded actions

Route every AI action through rules and approvals so non-standard updates are reviewed before they affect revenue or finance records.

Traceable outcomes

Keep full logs of inputs, decisions, and updates so operations and finance can explain what changed and why.

Where AI at Work creates immediate value

Team Common bottleneck AI at Work pattern
Sales operations Manual stage updates and routing delays AI suggests owner reassignment and next actions, then routes exceptions to approval
Finance operations Invoice and payment follow-up spread across tools AI flags at-risk receivables, drafts follow-up tasks, and keeps AR status synchronized
Procurement Slow exception handling for purchasing requests AI classifies requests, validates policy thresholds, and prepares approval bundles
Executive reporting Late, inconsistent operational summaries AI composes structured status updates from governed operational records

Typical AI execution loop

  • Detect an event such as a stage change, overdue invoice, or policy exception.
  • Generate a proposed action with context and structured field updates.
  • Validate against policy rules and required approvals.
  • Apply updates only when controls pass; log each step and decision.
  • Sync outcomes to connected systems so teams share the same status.
[TRIGGER] Deal moved to "Contracting"
-> AI drafts order checklist and required data fields
-> Policy check: discount > threshold, approval required
[WAIT] Finance approval requested
[OK] Approval granted
-> Order created, invoice schedule drafted
-> Status synchronized to CRM and finance records

Adopt AI in phases, not in one risky cutover

Most teams start with one high-friction workflow, measure reliability, and then expand to adjacent processes once policy controls and auditability are proven.

Frequently asked questions

Does AI at Work require replacing our current CRM or ERP?
No. The model is to orchestrate and govern actions across your existing systems. AI assists execution, while your current stack remains the operational backbone.
How do we keep AI actions safe for finance-critical workflows?
By combining policy checks, approval gates, and explicit logs. High-impact changes can be configured to require human sign-off before execution.
What is the best first workflow to automate with AI?
Start where volume is high and rules are clear: owner routing, invoice follow-ups, reconciliation prep, or exception triage. Prove consistency first, then scale.