AI consulting for SaaS teams shipping AI as a product feature.
We help SaaS companies build AI features customers actually pay for, deflect predictable support load, and run smarter qualification on the inbound funnel.
Industry challenges we keep seeing
- Product teams asked to add AI features without a clear monetisation story.
- Support teams overwhelmed by repetitive questions that should be answered by the product itself.
- Customer success teams reacting to churn instead of seeing it coming.
- PLG funnels with thousands of signups and no real way to spot the high-intent ones.
How AI helps — and where it doesn't
SaaS is one of the cleanest fits for AI: the data is structured, the workflows are digital, and the user experience already lives in software. The risk isn't capability, it's prioritisation — choosing the AI features that change retention or expansion versus the ones that look good in a launch post.
Specific use cases in saas
- In-product copilots that explain complex features and accelerate time-to-value.
- Support chatbots trained on real product documentation and resolved tickets.
- Customer health scoring trained on your real churn history, not generic engagement metrics.
- Inbound lead qualification at PLG scale.
- AI-assisted onboarding flows that adapt to who the user is and what they want to do.
Where to start
Most saas engagements begin with a short AI strategy consulting sprint — we identify the two or three highest-leverage workflows and rank them honestly. From there it's usually custom AI development on the first one.
Tell us where you're stuck in saas.
A 30-minute call. No pitch deck, no slideware. If we can help, we'll tell you how. If we can't, we'll point you somewhere that can.