Department
Department3 min readBy The Data Workers Team

Data Workers for sales and revenue data teams

Pipeline, forecast, territories and Customer 360 are the most-read data in the company. This is how revenue data teams run them on agents.

What going fully agentic and autonomous means for this team

  • •A forecast verified before the call. Pipeline ties to the CRM and bookings to finance every morning.
  • •Fiscal-year resets in a morning. Hierarchies are versioned and history restated.
  • •Seller agents on governed data. Every recommendation uses the same definitions as the dashboard.
  • •Access that follows the territory. Row-level access re-scopes with every move.

The shift

Revenue data changes every week and is read by the most senior audience in the company. CRM changes, territory resets and conflicting definitions consume the team that should be building seller-facing products.

Data Workers maps CRM changes the day they happen, verifies the forecast before every call and keeps seller agents on governed definitions.

Use-case guides

Use cases, in depth

CRM changes absorbed the same day

Today. A stage split breaks Monday's forecast.

With Data Workers. Schema Evolution maps the change, Pipeline Building updates the forecast and Conductor holds it for RevOps.

What changes. The forecast call runs on trusted numbers.

The workflow: Schema Evolution agent (detect_schema_change) → Pipeline Building agent (sandbox_test) → Autonomous Data-Conductor (request_governance_review).
Fig. 1:The workflow: Schema Evolution agent (detect_schema_change) → Pipeline Building agent (sandbox_test) → Autonomous Data-Conductor (request_governance_review).

Fiscal-year reset

Today. New territories and hierarchies break dashboards for weeks.

With Data Workers. Agents version hierarchies, restate history and re-scope access before sellers log in.

What changes. Sellers start the year on their new book.

The workflow: Pipeline Building agent (generate_pipeline) → Quality Monitoring agent (run_quality_check) → Data Access & Governance agent (provision_access).
Fig. 2:The workflow: Pipeline Building agent (generate_pipeline) → Quality Monitoring agent (run_quality_check) → Data Access & Governance agent (provision_access).

Customer 360 for seller agents

Today. Seller agents read whatever tables they find.

With Data Workers. Context Wizard serves governed account, opportunity and product context.

What changes. Agents and dashboards agree.

The workflow: Data Context & Catalog agent (define_business_rule) → Data Context & Catalog agent (mark_authoritative) → Autonomous Data-Conductor (verify_data).
Fig. 3:The workflow: Data Context & Catalog agent (define_business_rule) → Data Context & Catalog agent (mark_authoritative) → Autonomous Data-Conductor (verify_data).

The impact metrics we move

  • •CRM change mapped: from about 2 days to 15-30 min
  • •Forecast verified: from about 8 hours to 8-15 min
  • •Fiscal-year reset: from about a month to 3 h
Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.
Fig. 4:Time to complete, current practice (black) vs. with Data Workers (green). Illustrative.

The pilot

  • •Scope. CRM change mapping and forecast verification at L2.
  • •First week. Agents run at L1, observing only, and show the fixes they would have made, with receipts.
  • •By week two. The routine work above runs on its own; anything sensitive stays with a named approver.
  • •At day 30. We review the impact metrics against your baseline:
  • •CRM change mapped: from about 2 days to 15-30 min
  • •Forecast verified: from about 8 hours to 8-15 min
  • •Fiscal-year reset: from about a month to 3 h
  • •Cost. Start with a pilot ($7,500 one-time, credited in full against the first year). Scale is from $1,000 a month and Enterprise from $3,000 a month, billed annually, with unlimited seats, no usage meter and no markup on model spend. See pricing.