AI Product Strategy Consulting Agency
AI Product Strategy for SaaS Companies
Concepting, MVP definition, technical feasibility, and roadmap for AI-native products. We help you figure out where AI creates real ROI and what to ship first.
Activation, retention, expansion — every metric is a UX or workflow problem in disguise. The right AI feature in the right place is worth a quarter of growth marketing spend.
What we’d build
Built around
the day-to-day.
The headline pains we hear from SaaS companies:
- Onboarding activation that plateaus at 30%
- Support tickets eating engineering time
- Feature requests vs. roadmap visibility
- Marketing site that doesn't keep up with product velocity
AI lead intake & qualification
An agent that answers messages 24/7, asks the right questions, qualifies the lead, and books the call straight onto your calendar — so you stop losing inquiries that come in at 9pm.
Customer support copilot
A chatbot trained on your services, pricing, and FAQs that handles the easy 70% of questions and hands the rest off with full context — fewer phone tags, faster responses.
Internal admin & ops automation
The boring stuff: invoice generation, follow-up emails, review requests, scheduling, status updates. We wire it up so it runs itself and you only touch it when something needs a human.
Business intelligence dashboard
A simple weekly report that pulls from your tools (CRM, calendar, email, Stripe) and tells you what's working, what's slipping, and where to focus next week.
Outcomes
What ships.
01
Clear-eyed feasibility — what AI actually solves vs. what's a distraction
02
MVP scope you can ship in 6–8 weeks, not a 12-month moonshot
03
Sequenced roadmap so each release compounds the last
04
Competitive positioning grounded in what the model can actually do
05
Technical architecture review (model choice, retrieval, evals, costs)
06
ROI math your CFO will accept
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