Automation
AI agents for GTM, scoped like software
An agent is a program with judgment and a budget. Treated that way it is useful. Treated as a headcount replacement it fails publicly and expensively.
- Definition
- AI agents for GTM are bounded automated workers that execute a defined revenue task with tool access, logging and review gates, such as account research, reply triage, CRM hygiene checks or report drafting.
Symptoms
What this usually looks like before we start
- Agent demos that cannot handle the second edge case
- No logs, so failures cannot be diagnosed
- Unbounded tool access writing bad data into the CRM
- No owner, no budget, no evaluation
Scope
What we build
- 01
Scope contract
One task, defined inputs, defined outputs, explicit refusal behavior.
- 02
Tool access
Least privilege integrations with write paths gated and reversible.
- 03
Observability
Every run logged with inputs, decisions, cost and outcome.
- 04
Review gates
Confidence thresholds route uncertain cases to a person.
- 05
Economics
Cost per completed task tracked against the manual baseline.
Method
How the engagement runs
- Phase 1
Task audit
Find repetitive, high volume, low ambiguity work worth automating.
- Phase 2
Prototype
Build with a human in the loop from day one.
- Phase 3
Harden
Add evals, retries, fallbacks and rollback.
- Phase 4
Deploy
Ship with an owner, a dashboard and a kill switch.
Failure modes
Where teams get this wrong
Ambition over scope
One agent doing five jobs fails at all five and is impossible to debug.
Write access too early
Let it propose before it commits.
No kill switch
Anything that acts on your data needs a single off button.
Fit
Who this is for
- Operators with clear repetitive workflows and enough volume to justify automation
- Teams that want automation they can audit
Related
The system this plugs into
- 01
Data
Sourcing, enrichment, validation, dedupe, ownership
- 02
Segmentation
ICP tiers, triggers, routing rules, suppression
- 03
Messaging
Angles, variants, personalization logic, QA
- 04
Sending
Domains, mailboxes, warmup, throttling, deliverability
- 05
Replies
Classification, SLA, routing, objection handling
- 06
Calling
Dial lists, cadences, disposition discipline
- 07
CRM
Object model, stages, required fields, hygiene
- 08
Reporting
Funnel math, cohorting, channel attribution
- 09
Feedback loop
What learned goes back into data and messaging
One path. Every handoff owned, measured and documented.
Next step
Something in your pipeline is the constraint. Usually it is not the copy.
Bring your funnel numbers and your stack. We will tell you where the system leaks and what the fix sequence looks like, whether or not you work with us.