Most GTM teams have 12 AI tools and 0 KPIs moving.
Score your stack against the only metric that matters — KPI value ÷ fully-loaded AI cost. 76 playbooks, 895 tools, one number that tells you what to scale, fix, or kill.
Built with VPs of Sales, RevOps leaders, and CMOs at Series B–D B2B SaaS — the people whose CFO just asked "what's our AI ROI?"
Heard on the GTM AI Podcast
Real operators. Real numbers. Receipts.
Every playbook with a 🎙 Heard on the podcast badge links back to the episode where the operator showed exactly how they built it.
15 → 4 BDRs
Pipeline went from <15% to >30% of total after replacing email-heavy BDRs with AI + internal product/CRM signals.
Austin, Sendoso → watch
1 hr → 0 hr
Weekly RevOps leadership deck now runs on a cron — pings reps, reads Slack threads, ships the deck before the meeting.
Nate Niehaus, Perplexity → watch
45 min / renewal
Saved per AM with the contract scraper. NRR target hit two quarters running after rollout.
Egan, Sendoso → watch
6 weeks → 90 sec
Notion-native agent generates a full account plan with stakeholder map and tiered contacts in 90 seconds. Killed the change-management drag of account-plan rollouts.
Justin Dries, Legora → watch
Quote of the week: "Humans that don't use AI will be replaced by humans that do." — Chris Beall, CEO, Sendoso
The Problem
Your AI stack is growing. Your KPIs aren't.
Tool-First Thinking
Teams ask “What AI should we buy?” before defining the outcome they're trying to move. Capability without context creates expensive noise.
Data Immaturity
AI is only as strong as the data that feeds it. Siloed CRMs, missing fields, and disconnected systems guarantee failure — before you've written a single prompt.
Zero Adoption
Without incentive alignment, workflow integration, and trust, even powerful AI tools go unused. Change management isn't optional — it's the product.
The reasons aren't technical. They're organizational. And they're fixable — if you have a system.
The Solution
A 7-step operating system for AI that actually performs.
Revenue AI Strategy guides your team from business target to measurable KPI movement — and tells you which AI is worth keeping.
- 01
Define Business Target
Anchor your AI strategy to one measurable outcome: win rate, churn, pipeline, margin.
→ Improve win rate 21% → 30% in 12 months - 02
Map Driver KPIs
Identify the 2–3 KPIs that causally drive that outcome. These are your AI accomplishments.
→ Win Rate → Qual Accuracy · Proposal-Close · Cycle Length - 03
Assess Data Readiness
Your AEIOU audit. Score every data source before a single AI prompt runs.
→ AEIOU score 68/100 — 2 blockers flagged - 04
Match AI Capabilities
Stop chasing shiny tools. Match summarization, extraction, generation, and orchestration to real pain points.
→ Pain → Capability → Tool matrix - 05
Evaluate Org Readiness
Leadership, incentives, culture, systems, capacity — scored before you go live.
→ Readiness score 74/100 — incentive misalignment flagged - 06
Build Your Pilot
One use case. A Tiger Team. A pre-pilot eval gate. Controlled, fast, measurable.
→ Pilot charter · 8-week timeline · baseline + target - 07
Track the AI Strategy Score™
Value of KPI movement ÷ fully-loaded AI cost. Know what to scale, fix, or kill.
→ Qualification AI = 3.2x · Content AI = 0.4x — Kill
Know what your AI is actually worth.
Every AI workflow in your stack gets an AI Strategy Score — the ratio of KPI value generated to the fully-loaded cost of running it (compute, QA, remediation, human review).
Stop rewarding adoption. Start rewarding performance.
AI Strategy Score™ · Q4 review
- Qualification Brief AI3.2x
- Proposal Generator2.4x
- Risk Alert System2.1x
- Content Writer1.3x
- CRM Auto-Update1.1x
- Forecast AI0.4x
Weekly · The GTM AI Podcast
Listen to workflows that actually moved revenue.
Every week we go deep on a real GTM AI workflow with the operator who shipped it — what was tested, what was killed, and what the AI Strategy Score landed at. Start with the Sendoso episode for a working pipeline-influence playbook.
Browse every episode at gtmaipodcast.comYour AI is already deployed. Now prove it's working.
Start with one initiative, one driver KPI, and one team. Revenue AI Strategy will tell you if it's worth keeping.