System-to-System Workflow Automation
Stop paying skilled people to move data between systems. Integrations carry the records, agents handle the messy inputs, and people settle the conflicts.
The business problem
Most operations teams run on five to ten systems that were never designed to talk to each other. The gaps between them get filled by people: exporting, cleaning, re-keying and messaging the next team that the step is done.
That work is invisible in any one system, so it rarely gets measured. It shows up instead as cycle time, records out of sync, and experienced staff spending their day as the integration layer.
How it runs today
- Export a report from one system, usually on a schedule someone remembers.
- Clean and reshape it in a spreadsheet, fixing formats and missing fields by hand.
- Re-enter or import it into the next system, one record or one batch at a time.
- Check that the totals match, then message the downstream team in email or Slack.
- Chase the records that failed to load and fix them the next day.
Automate the work. Keep judgment human.
Plain automation where the logic is fixed. Agents where the input is messy. People wherever consequences or ambiguity rise.
Deterministic automation
- Scheduled or event-driven syncs between systems with stable APIs or file feeds.
- Field mapping, format conversion and lookups where the rules are fixed and known.
- Reconciliation checks: counts, totals and key matches before and after each run.
- Status updates and notifications once a step completes. No judgment needed, so no agent needed.
Agents
- Reading inputs that do not arrive structured: emails, PDFs and free-text notes that must become a record.
- Matching records when identifiers are missing or inconsistent, and explaining the match.
- Proposing a fix for a record that failed validation, for a person or a rule to accept.
- Deciding the next routine step when a record falls outside the happy path but inside its permissions.
People stay responsible for
- Ownership of the master data and the source of truth for each field.
- Conflicts the rules cannot settle, such as two systems that disagree on a customer or an amount.
- Any change that affects money, contracts or a customer commitment.
- Deciding which systems should connect at all, and in what order.
Systems and integration
- ERP and accounting
- CRM
- Industry systems of record (TMS, policy admin, practice management)
- Data warehouse and reporting
- iPaaS, APIs, EDI and file transfer
- Email and chat for handoffs
Validation and controls
- Each integration reads and writes only the objects and fields it is scoped to.
- Pre- and post-run reconciliation, with the run paused if totals do not match.
- Agent-proposed matches and fixes below a confidence threshold go to a person.
- Every record change is logged with its source, rule or agent, and approver.
- A tested fallback to the manual export and import if a system or format changes.
What we measure
- Manual re-keying hours per month
- Records out of sync between systems
- Cycle time from source event to downstream update
- Failed or rejected records per run
- Cost per record moved
An example workflow design
Illustrative, not a client result. It shows where each responsibility sits.
Order-to-invoice sync between CRM and ERP
Trigger: A deal is marked closed-won in the CRM.
An illustrative design showing how we would approach the workflow. Not a client result.
- 1SystemCRM emits the closed-won event with the deal and account record.
- 2AutomationMaps the deal to the ERP customer, products and price list using fixed rules.
- 3AgentReads the signed order form for terms the CRM does not hold, and resolves an ambiguous customer match.
- 4AutomationValidates totals, tax fields and credit terms against the ERP before anything is written.
- 5HumanFinance approves non-standard terms, new customer records and any mismatch the rules flagged.
- 6SystemERP creates the sales order and invoice schedule; the CRM is updated and the run is logged.
Controls
- Agent can propose, but not create, new customer records
- Non-standard payment terms always need finance approval
- Run pauses if order totals and CRM amounts disagree
- Full log of event, mapping, approval and write
What we would measure
- Hours of order entry per month
- Time from closed-won to invoice-ready
- Orders corrected after creation
- Cost per order processed
Where we see this pattern
Assess a workflow
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