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Proof of concept · Healthcare · Sales

Contract Compliance Genie: Governed Analytics and Intake

Nine bounded Workato skills answer commercial questions over SAP and Salesforce data and run governed contract intake, with people approving every clause.

Video and presentation

Contract compliance POC walkthrough6:06

In the video

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  1. Scattered answers

    Customer identities, pipeline, billing and contract obligations are spread across systems and PDFs, and analysts spend their time reconciling them.

  2. The design goal

    Make enterprise data conversational without making the AI the system of record.

  3. Nine bounded skills

    Each question goes to a Workato skill over governed Databricks data from SAP and Salesforce. A private model gateway explains results and never writes free-form queries.

  4. What the genie covers

    Recorded on synthetic data: commercial performance, customer identity, data provenance, executive briefing and governed contract intake.

  5. Pipeline against billed actuals

    For one customer, 125,000 in pipeline against zero billed. The genie confirms the zero is a valid value and does not invent a reason.

  6. Customer identity

    Two SAP customer numbers that share a tax ID are resolved to one canonical customer, without merging any master record.

  7. Where the numbers come from

    Source system, billing and material tables, 17,792 rows and a refresh timestamp, with the caveat that a timestamp does not prove a freshness SLA was met.

  8. Governed contract intake

    An uploaded agreement is preserved, fingerprinted with SHA-256 and turned into candidate obligations with source evidence, all pending human review.

  9. Duplicates and addendums

    The same file under a new name is recognised by its hash. An addendum becomes version 2, linked to version 1, with 12 new proposed terms.

  10. Holding the approval boundary

    Asked to approve every clause and activate the rules, the genie refuses: extraction confidence is not approval, and only an authorised reviewer can approve.

  11. A controlled failure

    A corrupted PDF is not stored, produces no clauses and activates nothing. The attempt is audited and the operator gets a clear next step.

Overview

The problem, and what the POC does.

The problem

One legal customer can sit under several ERP and CRM identifiers. Pipeline, orders, billing and P&L live at different grains and refresh on different cycles, and key contract obligations are buried in PDFs. Analysts reconcile sources instead of explaining what changed, and executives need provenance, access control and auditability around every AI interaction.

What the POC does

The assistant routes each question to one of nine bounded skills running in Workato, over governed Databricks data sets built from SAP and Salesforce. A private language model gateway interprets the question and explains the results, but never invents them or writes free-form queries. Analytics are read only. Contract intake stores documents and proposes clauses inside a controlled workflow, and every clause waits for a human reviewer.

Outcomes

What it is built to improve.

  • Pipeline compared with billed actuals, with gaps reported and caveats kept
  • Duplicate customer records grouped into one canonical customer for analysis
  • Every number traced to its source system, tables, row count and refresh time
  • Agreements fingerprinted, versioned and turned into candidate clauses with source evidence

Boundaries built in

  • Analytics are read only, and neither mode writes to SAP or Salesforce directly
  • Customer matching is an analytical grouping. No ERP or CRM master record is merged.
  • Cannot approve clauses or activate compliance rules. Only an authorised reviewer can.
  • A corrupted file fails cleanly: nothing is stored or activated, and the attempt is audited

Technologies used

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