AI Ops Scan — Acme Corp

Acme Corp is a 45-person B2B SaaS company specializing in supply chain management. The team relies heavily on manual data entry, spreadsheet-based reporting, and fragmented communication across Slack, email, and Notion.

Our analysis identified 5 high-impact automation opportunities that could recover approximately 62 hours per week across your operations, sales, and finance teams. The biggest wins are in proposal generation, client onboarding, and weekly reporting — all of which involve repetitive, rule-based workflows that are ideal candidates for AI-powered automation.

Opportunities

Hrs/Week Recoverable

High-Priority

Ideas we came up with

Proposal Generation

High Impact

Potential problem: Sales reps spend 3-4 hours per proposal manually copying client data from CRM into Google Docs templates, adjusting pricing tables, and formatting. With 8-10 proposals per week, this consumes nearly half of a rep's selling time.

Automation: AI-powered proposal builder that pulls CRM data, auto-generates tailored content, applies brand templates, and produces a review-ready PDF in under 2 minutes.

25 hrs/week savedEst. build: 2 weeksTools: HubSpot, Google Docs, Claude API

Client Onboarding

High Impact

Potential problem: New client setup involves 14 manual steps across 5 tools: creating accounts, sending welcome emails, scheduling kickoff calls, provisioning access, and updating tracking sheets. Average onboarding takes 3 hours and errors cause delays.

Automation: End-to-end onboarding workflow triggered by deal closure. Automatically provisions accounts, sends personalized welcome sequences, creates project spaces, and schedules calls based on client timezone.

15 hrs/week savedEst. build: 3 weeksTools: Slack, Google Calendar, Notion, Zapier

Weekly KPI Reporting

High Impact

Potential problem: The ops team spends every Monday morning pulling data from 4 different dashboards, consolidating into a master spreadsheet, generating charts, and distributing via email. The process takes 5+ hours and is error-prone.

Automation: Automated data pipeline that aggregates metrics from all sources, generates an interactive dashboard, and delivers a formatted summary to Slack and email every Monday at 8am.

10 hrs/week savedEst. build: 2 weeksTools: BigQuery, Google Sheets, Slack

Invoice Reconciliation

Medium Impact

Potential problem: Finance manually cross-references incoming payments against outstanding invoices in QuickBooks, flagging discrepancies and chasing partial payments. This takes 6-8 hours per week.

Automation: AI matching engine that auto-reconciles payments to invoices, flags anomalies for human review, and sends automated follow-ups for overdue or partial payments.

7 hrs/week savedEst. build: 3 weeksTools: QuickBooks, Stripe, Gmail

Support Ticket Triage

Medium Impact

Potential problem: Support tickets arrive via email and chat with no consistent categorization. A team lead manually reads, tags, and assigns each ticket — about 40 per day.

Automation: AI classifier that reads incoming tickets, categorizes by type and urgency, routes to the right team member, and drafts initial responses for common issues.

5 hrs/week savedEst. build: 2 weeksTools: Intercom, Slack, Claude API

ROI Summary

At an average fully-loaded cost of $55/hr, automating these 5 opportunities would save Acme Corp an estimated $177,000/year. With a combined build investment of ~$28,000, you'd see full ROI within 8 weeks. The first automation (proposal generation) can be live within 2 weeks.

Curious if any of this could work for Acme Corp?

Feel free to plan a call with Sando to see if one of the ideas above can help Acme Corp save time and work smarter.