SalesGPT: AI Use Case Advisor

The AI Use Case Advisor turns your GTM data into a CFO-ready business case for AI. It helps identify the right AI interventions to address sales challenges evident in the data you provide.

What you’ll get: A crisp executive summary (≤300 words), ranked top problems with evidence, 4 to 7 prescriptive recommendations tagged to the lens they move, and a 12-month ROI table (Benefit L/B/H, Cost, Net, ROI%, Payback).

This advisor quantifies the value of AI interventions using a lens-first ROI model: A) conversion compounding, B) time dividend, C) middle-performer uplift, and D) secondary effects (e.g., churn/NRR/expansion).

It also includes a 0-30/30-90/90+ day roadmap, assumptions and data gaps, and an appendix with transparent math (NPV at WACC, MIRR, Payback) and guardrails (no double-counting, conservative haircuts, ROI cap at 10:1 unless audited).

Using it is simple: Upload one small CSV or paste numbers from the last 12 months

You can start with the data you have. We recommend the following minimum dataset (12-month horizon):

• Funnel by month or last-12 aggregate (MQL→SQL→SQO→Wins)

• Cycle time and ACV/ASP

• A quick team count/time split snapshot (AEs/SDRs/CSMs; admin vs selling) with fully-loaded hourly cost per role

• A few activity/SLA rates: speed-to-lead, show/no-show, meetings/hour, meeting→SQO%, opp→win%

• Your “Core-60” middle-performer share of wins/revenue

• [Optional] Post-sale metrics: churn, NRR, expansion, renewal cycle length

• Tech stack and tool costs

• Stage definitions and exit criteria

• Data quality notes

Missing something? Skip it. The advisor fills gaps with conservative, labeled assumptions and returns ROI, a 12-month summary, and a step-by-step roadmap.

For privacy, redact confidential data before sharing.