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GTM with AI

I built the AI sales agents at LumApps: 2x open rates, 2x approved opportunities, $1M in quarterly revenue forecast. The same pattern works for any outbound-heavy team or customer-facing AI surface that needs to move a number you can defend.

Right fit if
  • Your outbound or customer-facing motion needs more pipeline, not more headcount
  • You have CRM data and want AI that actually touches it
  • You can measure conversion, not just usage
Skip this if
  • You want a chatbot bolted onto the website — that is not GTM
  • No one on the revenue team is willing to change the rep workflow
Delivery

How this ships

01
Map the funnel

Which step moves the number when AI helps. Research, personalisation, reply grading, scoring, retention — pick where the lift is real.

02
In the flow of work

Agents run inside the tools your team already uses — Salesforce, HubSpot, Outreach, Slack. No new dashboards, no extra logins, no parallel system to babysit. Reps stay in their cadence; the agent shows up where the work happens.

03
Measure the impact

Open rate, reply rate, approved opportunities, attributable revenue, hours saved per rep per day. Iterate on the metric that moved, then expand to the next segment or channel.

Proof

The work that backs this

The cases below are the ones I would point a sceptical buyer at first. The full bench lives on /work.

Engagement shape

How I price it

Most engagements start with the first option. The second is the natural next step or a smaller starting bet.

Want to talk about gtm with ai?

Book a 30-minute call. I'll tell you straight whether this is the right shape for your problem.