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04 — Workflow Automation

The ten things eating your week.

Quote-to-cash, lead routing, invoice processing, reporting — quietly handled by agents running on your infrastructure, so your team compounds instead of copy-pastes.

§ Real-world builds

Examples from the field.

01

Revenue ops

Quote-to-cash automation

When a quote is approved, the agent generates the order, updates the CRM, kicks off invoicing, and notifies fulfillment — without a human copy-pasting between five systems.

  • CRM, ERP, accounting, and email in sync
  • Approvals routed to the right person, not the whole team
  • Audit trail for every step

Outcome — Days off the sales-to-cash cycle; zero manual re-keying.

02

Marketing → sales

Lead enrichment & routing

Every inbound lead is enriched with firmographic data, scored against your ideal customer profile, and routed to the right rep with a briefing note attached.

  • Enrichment from Clearbit / LinkedIn / your source of choice
  • Round-robin, territory, or account-based routing
  • AI-drafted first-touch email waiting for rep approval

Outcome — Hot leads reach a rep in minutes with context, not hours later.

03

Finance

Invoice & AP processing

Inbound invoices are parsed, coded to the right GL account, matched against POs, and dropped into your accounting system for approval — no more spreadsheet purgatory.

  • OCR + LLM extraction on any invoice format
  • Auto-matching to purchase orders
  • Exceptions routed for human review

Outcome — AP team focused on exceptions instead of data entry.

04

Reporting

Automated weekly digests

Every Monday, the agent assembles the numbers, pulls the highlights, drafts the narrative, and drops the report into the exec team's inbox or Slack.

  • Metrics + commentary generated automatically
  • Custom sections per stakeholder
  • Attach the underlying data on request

Outcome — No more Sunday-night deck assembly for the Monday standup.

05

Support

Ticket triage & first response

Incoming tickets are categorized, prioritized, and answered directly when the question is routine — with humans looped in only for the ones that actually need them.

  • Answers grounded in your help docs and past tickets
  • Escalates cleanly with full context
  • Learns from every human correction

Outcome — Support costs down, response times down, CSAT up.

◆ Your version

Yours would look different.
That's the point.