AI SDR Pilot: 30-Day Plan With Week-by-Week Pipeline Targets
TL;DR: A useful 30-day AI SDR pilot tests one audience, one signal, and one outreach path. Set operational targets from your own baseline, keep a comparison group when feasible, review exceptions weekly, and expand only when the team can explain why qualified outcomes occurred.
What should a 30-day AI SDR pilot prove?
The pilot should prove that the complete workflow can identify an eligible account, find the right person, create relevant outreach, route replies, and preserve CRM context. It should not be a contest to maximize sends.
| Week | Primary work | Exit question |
|---|---|---|
| Week 1 | Define the audience, signal, exclusions, owner, and comparison method | Can the team explain exactly who enters and why? |
| Week 2 | Build research, enrichment, routing, and sequence steps | Does a test record complete the path correctly? |
| Week 3 | Launch a controlled audience and review exceptions daily | Are replies and failures reaching the right owners? |
| Week 4 | Compare outcomes with the baseline and document a decision | Should the team scale, redesign, hold, or stop? |
Which targets belong in the pilot?
Use targets derived from your own baseline and capacity. A public customer outcome or generic threshold cannot replace the team's historical reply quality, opportunity definition, contract value, and available follow-up time.
- Eligibility target: the share of triggered records that actually match the documented ICP.
- Data target: the share of eligible records with the fields required for safe routing and outreach.
- Execution target: the share of intended contacts that complete the workflow without a preventable failure.
- Quality target: qualified replies or conversations using a written definition.
- Revenue target: opportunities and pipeline calculated from the team's own baseline, not an external promise.
How should you configure the workflow?
Getting started with Plays | Unify Knowledge Base documents the two-part model: a trigger starts the workflow, then actions prospect, qualify, sequence, sync, alert, branch, or assign ownership. Start with one trigger and add actions one at a time so failures remain diagnosable.
- Use one ICP segment with explicit exclusions.
- Choose one observable signal with a clear freshness rule.
- Use one short sequence and one reply owner.
- Record the trigger, research, data source, owner, and enrollment result.
- Hold the audience and message logic stable during the evaluation window.
Where should AI help, and where should humans stay accountable?
Unify Products | Agents describes agents that help sellers build lists, research accounts, qualify fit, and draft messages. Humans should still own the ICP, evidence standards, exclusions, final message policy, reply judgment, and scale decision.
What should stop the pilot?
- Consent, opt-out, identity, or suppression failures.
- CRM ownership rules that route prospects to the wrong seller.
- Research that cannot be traced or reviewed.
- Replies that wait without an accountable human owner.
- Expanding scope before the first workflow is interpretable.
How should you interpret customer examples?
Named customer stories can reveal workflow patterns, but they do not set universal pilot targets. Unify Customer Story | Juicebox turns PLG sign-ups into $3M in enterprise pipeline with Unify describes a motion spanning PLG signups, web intent, events, and enterprise outreach. Unify Customer Story | Campfire doubled qualified outbound pipeline in 5 months with Unify describes a different market, stack, and operating model. Use each to understand system design, not to forecast your result.
How does Unify cover this?
Unify combines agents, signals, prospecting, enrichment, sequencing, CRM actions, alerts, and analytics. The seller or operator remains in control, which fits an AI-for-SDRs model: automate repeatable busywork while keeping judgment and accountability with the team.
Use Outbound Platform Implementation: 30/60/90 Timeline + RACI for ownership planning and Realistic First-Quarter Results from Automated Outbound for post-pilot expectations.
Frequently asked questions
How large should the pilot audience be?
Use the smallest audience that can generate useful evidence without exceeding the team's review and follow-up capacity. The right size depends on the baseline and market.
Does the pilot need a comparison group?
Use one when feasible. A held-out or business-as-usual group helps separate workflow effects from normal demand, seasonality, and sales activity.
When should the pilot expand?
Expand after the team can explain eligibility, data quality, routing, reply handling, and qualified outcomes without manual reconstruction.
Ready to put the workflow into practice? Try Unify free.
