Scaling AI-native products efficiently from Series A through exit
Growth-stage B2B software lives and dies by efficient scaling. We embed AI where it compounds — turning product usage, GTM motion, and retention signals into owned, AI-native systems that widen margins as you grow, not after the next raise.
Why AI mattersin B2B Tech.
For growth-stage B2B software, AI matters when it compounds efficient growth — widening margins and net retention as you scale, not after the next raise.
Our point of view is relentless pursuit of value: we validate ROI fast, amplify your product and GTM teams rather than replace them, hand you full ownership of what we build, and design it to scale with your culture and stack.
- 01Scaling is the testMargins must widen as you grow, not after.
- 02Your product is the moatAI features customers will actually pay for.
- 03Retention compoundsPredict churn early; expansion follows.
- 04Efficiency is the new growthDo more with the team you have.
The AI opportunityin B2B Tech.
earlier churn prediction from usage signals
code & IP owned at handoff
target ROI within 90 days
Photo: Pexels
Purpose-built applicationsfor B2B Tech.
AI-Native Product Layer
Ship the intelligent layer your roadmap keeps deferring — natural-language querying, predictive alerts, automated workflows — in weeks, so product velocity scales with your team instead of trailing it.
CRFT designs and builds the AI product features integrated into your stack.
Net-Revenue-Retention Engine
Predict churn 90 days out and trigger retention plays automatically — an AI agent watches usage, support tickets, and NPS signals so expansion revenue compounds while CAC holds flat.
CRFT engineers the agent, integrations, and action layer end-to-end.
GTM Efficiency Diagnostic
Know which AI features and motions actually move pipeline efficiency — a structured assessment of usage, funnel, and willingness-to-pay that tells you where to invest before the next raise.
SPRK delivers the market assessment and prioritized feature roadmap.
Board-Ready AI ROI Dashboard
Show your board exactly how AI drives net retention, gross margin, and burn multiple — live, not quarterly — so every AI dollar has a number attached at the next review.
KNTRL tracks the business impact of every AI investment across your platform.
The Accountability Gap: What Private Equity Gets Wrong About Measuring AI
A four-lens framework for capturing the full spectrum of AI value — and risk — across every dimension that matters to PE sponsors, operators, and boards.
Pablo Cruz Pou & Fritz Desir · May 30, 2026 · 17 min read
The Agentic Enterprise: A Field Report
What we learned putting AI agents into real operations — where they earned their keep, and where they quietly fell over.
Fritz Desir · May 28, 2026 · 3 min read
Buy, Build, or Activate: A Framework for Enterprise AI
Most AI decisions get framed as buy-vs-build. That's the wrong axis — and it's why so much AI spend underperforms.
Fritz Desir · May 26, 2026 · 3 min readB2B Tech,answered.
CRFT validates the core AI workflow in 7–10 days, then ships a production-quality feature in weeks — so product velocity scales with your team instead of trailing it.