The
Overview
An enterprise HVAC supplier knew they needed an AI-powered digital solution but had no clear MVP plan. Wishtree defined a scalable MVP in just 21 days, reduced the feature backlog by 45%, and aligned the technical roadmap with real revenue drivers.
Problem
Statement
Multiple stakeholders had valid but competing ideas about what the AI product should do. Without a clear MVP definition, the engineering team could not start building, and competitors were pulling ahead.
Highlights
4-week
Discovery sprint
Cross-functional team workshops
21 Days
MVP defined
45%
Backlog reduction
Revenue-aligned roadmap
Stakeholder alignment achieved
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
An enterprise-level HVAC supplier serving contractors and industrial clients across multiple regions. The company recognized the need for AI-powered digital tools to stay competitive but struggled to translate that vision into a concrete, executable plan.
- Stakeholders across sales, operations, and leadership had overlapping and often conflicting expectations for the AI product.
- No clear MVP definition meant the engineering team could not start building.
- Feature lists grew endlessly, with no process to prioritize what truly mattered.
- Time and budget were wasted on internal debates rather than on product development.
- Ran a structured 4-week discovery sprint with clear phases: research, workshops, synthesis, and roadmap definition.
- Conducted AI-assisted competitive research to analyze what competitors were building and identify market gaps.
- Facilitated cross-functional workshops to surface priorities and uncover hidden assumptions.
- Mapped every proposed feature to revenue impact
- Delivered a technical roadmap aligned to business goals, with a clear MVP definition and phased expansion plan.
- AI-assisted research tools scanned hundreds of competitor websites, product reviews, and industry reports to identify market trends and feature benchmarks in days instead of weeks.
- Workshop data were synthesized using AI to identify patterns, conflicts, and areas of consensus across stakeholder groups.
- Feature prioritization was modeled against revenue drivers.
- The final roadmap included AI-powered features sequenced by value.
Core Features
AI-assisted competitive research
Revenue impact mapping
Cross-functional workshops
MVP scoping & prioritization
Stakeholder alignment documentation
Impact
- MVP defined in just 21 days
- 45% reduction in feature backlog
- Technical roadmap aligned to real revenue drivers
- Stakeholder alignment achieved
- Engineering team unblocked
- Competitive pressure addressed
- Time and budget waste eliminated
Why Wishtree
Wishtree turns ambiguous ideas into actionable plans.
For this enterprise HVACR client, we:
- Delivered a clear MVP in 21 days where they had been stuck for months
- Cut feature backlog by 45% through revenue-driven prioritization
- Aligned every stakeholder around a shared technical roadmap
- Unblocked engineering to start building with confidence