Real results for real product teams.

AI-Driven HVAC Assistant for a Solutions Leader
We helped a B2C HVAC leader launch its AI assistant by refining GTM, messaging, and pricing, leading to a successful pilot and new revenue growth.
- Who the first target customer should be
- How to price and package the product
- Whether to offer it standalone, bundled, or licensed
- How to tell the story to buyers, users, and investors
They needed a structured path to validate, launch, and scale.
Defined the Target Audience
We conducted interviews with internal stakeholders and early beta testers to identify and validate buyer and user personas. These included field technicians (users), facilities managers (buyers), and operations executives (economic decision-makers).
Crafted Messaging & Positioning
We created distinct value propositions tailored to each persona—focusing on speed, consistency, and reduced downtime. Messaging emphasized the assistant’s ability to act as a “smart second set of eyes” for technicians in the field.
Built Pricing & Packaging Models
Our team evaluated three pricing strategies: usage-based, per-seat SaaS, and bundled licensing. We ultimately recommended a tiered SaaS model with optional OEM licensing for partners, which balanced revenue potential with adoption friction.
Developed a Real-World Pilot Strategy
We designed a 3-client pilot rollout plan to validate product-market fit and capture performance metrics. The rollout included onboarding flows, feature usage tracking, and structured feedback collection.
Enabled GTM Execution
We equipped the internal team with everything needed for launch—persona-based sales collateral, onboarding documentation, and KPI dashboards. We also prepared an investor-facing GTM narrative to support upcoming capital-raising efforts.
Created Expansion Framework
To future-proof the strategy, we outlined a framework for scaling beyond internal use—targeting OEMs, adjacent service verticals, and partner integrations. This provided a clear roadmap for ongoing business development and product evolution.
Our engagement helped this commercial services company evolve a promising internal AI tool into a revenue-ready external product. Key outcomes included:
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Clear Customer Segmentation and Persona Alignment
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Defined Product Positioning and Differentiation
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Validated SaaS Pricing and OEM Licensing Models
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Structured Pilot Program with Measurable KPIs
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GTM Messaging and Investor Readiness Toolkit
The successful pilot rollout and go-to-market planning gave the client confidence to scale the product beyond internal use. The organization now has a structured commercialization path—resulting in a 50% reduction in average issue resolution time and a new revenue stream poised for growth.
Client Impact
Launching an AI-Driven HVAC Assistant for a Building Solutions Leader
We had a strong product, but no go-to-market muscle. This gave us the clarity and tools to move forward with confidence. We now know who to target, how to talk about our value, and how to scale all thanks to ProductivPM.
You don’t have a roadmap problem. You have a decision-making problem dressed up as one.
Every quarter you stay the product brain is another quarter the team ships the wrong things — and another quarter further from a Head of Product hire that will actually work.