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AI for B2B SaaS & Tech.

Inbound not being worked, proposals shipping late, onboarding taking weeks not days, and customer success reacting instead of expanding. We rebuild the revenue stack around AI, end to end.

AudienceGrowth-stage SaaS
Revenue range$8M, $50M
Common systems5 categories
Recent evidence$12M SaaS closed 38% more qualified...
I · What we see

"Revenue teams where SDR drudgery and slow onboarding cap both pipeline and NRR."

Inbound not being worked, proposals shipping late, onboarding taking weeks not days, and customer success reacting instead of expanding. We rebuild the revenue stack around AI, end to end.

The pattern is consistent enough across the firms we work with that we usually know the shape of the fix before the diagnosis call ends. Below, the three symptoms we hear most, and how we approach them.

II · Three Symptoms

What we hear before the call.

Pattern recognition · not generalism

These three show up in eight of ten diagnosis calls in this industry. If you recognize two, we're almost certainly a good fit.

01Inbound is measured in marketing, not revenue.Leads captured, scored by a tool, routed to a queue, and then quietly go cold. We measure it all the way to closed-won and rebuild the chain that's breaking.Symptom 1Of three
02Your SE team is the bottleneck on every deal.Technical discovery, proposal scoping, implementation planning, we automate the 70% that is patterned, free your SEs for the 30% that matters.Symptom 2Of three
03NRR is supposed to be the moat, but it's flat.CS reacts to churn signals two weeks late. We build the health model and the expansion-play runbook your CSMs will actually use.Symptom 3Of three
III · What we'd build

Systems that fit this industry.

Drawn from real engagements

These five systems are the ones we most commonly commission for firms in this category. Your specifics will differ, these are the shapes.

I.

Inbound enrichment, scoring, routing, drafting

II.

Sales engineer & proposal automation

III.

Onboarding & implementation acceleration

IV.

Customer success health-scoring & expansion plays

V.

Internal copilot on product + support data

Evidence · recent work

$12M SaaS closed 38% more qualified pipeline with no added headcount.

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