90-Day Roadmap
Roll out AI GTM in 30/60/90 day phases without losing control.
Key takeaways
- AI GTM fails when teams transform everything at once; the first 90 days should pick one large bottleneck and attach a measurable use case to daily work.
- Days 0-30 align the baseline: choose the bottleneck, clarify ICP, audit data, draft AI policy, and select two or three use cases, without picking tools first.
- Days 31-60 run the pilot: score 100 to 300 accounts, test two personas and three value angles, deploy a sales agent, and stand up a dashboard.
- Days 61-90 decide scale criteria using a priority matrix of revenue impact, data readiness, workflow adoption, risk, and learning speed.
- After 90 days the decision is scale, redesign, or stop, based on impact and adoption, with the first use case validated in 4 to 8 weeks.
AI GTM fails when teams try to transform everything at once. The first 90 days should choose one large bottleneck, clean up the data and playbook, and attach a measurable use case to daily work.
Days 0-30: Align the Baseline
| Goal | Output |
|---|---|
| Choose GTM bottleneck | One of pipeline quality, sales productivity, expansion |
| Clarify ICP | Fit, intent, readiness criteria |
| Audit data | CRM fields, product signals, engagement signals |
| Draft AI policy | Customer data, messaging, approvals |
| Select use cases | Two or three candidates and ROI hypothesis |
First 30-day principle
Do not choose tools first. Define which GTM decision is slow or inaccurate.
Days 31-60: Run the Pilot
| Goal | Output |
|---|---|
| Account scoring pilot | 100 to 300 accounts scored |
| Message experiment | Two personas and three value angles |
| Sales agent | Meeting prep or follow-up assistant |
| POC template | Success plan and ROI model |
| Dashboard | Signal to action to outcome tracking |
Days 61-90: Decide Scale Criteria
| Goal | Output |
|---|---|
| Review results | Win/loss, conversion, time saved, risk |
| Adjust playbook | ICP, message, routing weights |
| Expand permissions | Broader automation within approved lanes |
| Enablement | SDR, AE, CSM training |
| Quarterly plan | Next use case and data investment |
Priority Matrix
| Criterion | High score condition |
|---|---|
| Revenue impact | Directly affects pipeline, win rate, NRR |
| Data readiness | Required data exists or can be cleaned quickly |
| Workflow adoption | Fits existing field workflow |
| Risk | Customer-touch and security risk are controllable |
| Learning speed | Outcome visible in 4 to 8 weeks |
Decision After 90 Days
| Result | Decision |
|---|---|
| High impact + high adoption | Operationalize and expand automation |
| High impact + low adoption | Redesign workflow and enablement |
| Low impact + high adoption | Keep as productivity use case |
| Low impact + low adoption | Stop and choose another bottleneck |
Operating Checklist
- First use case can be validated in 4 to 8 weeks.
- Baseline is measured before pilot.
- Customer-touch automation has an approval gate.
- Result review includes field-team feedback.
- After 90 days the decision is scale, redesign, or stop.