Build

The INOV Commercial Validation Framework

The INOV Commercial Validation Framework is a phased 180 day go-to-market plan for developing, testing, and launching new products, services, pilots, and proof of concepts. It moves from value proposition and market hypothesis to validated proof of concept, commercial strategy, pricing logic, and scale-ready workstreams.

180-Day Plan Architecture Overview

Days 1-30 Focus & Setup

Ideal Customer Profile (ICP) hypotheses, use-case shortlist, pilot/MVP criteria, competitive intelligence, UX research and market intelligence, initial market sizing assumptions, outreach materials

Days 31-60 Discovery & Qualification

Buyer discovery, pilot or MVP in field, proof of concept (POC) scope confirmed, CRM setup, pre-sales buyer pipeline qualification

Days 61-90 Proof of Concept

Price strategy and packaging discovery completed, POC deliverables tested and confirmed, research and documentation ongoing

Days 91-150 Product Readiness

Pilot execution completed, product and technical readiness assessed, UX research /market validation continues, beta candidates onboarded, pricing and positioning confirmed

Proof of Concept Requirements

Days 151-180 Commercial Readiness

Scope, timeline, data sources, POC/MVP users, buyers are identified and defined prior to launch.

Clear privacy, security, and compliance requirements are in place before live deployment.

Success metrics, data retrieval, data quality, traceability, time savings, usability metrics are established.

Learning path and communication protocols between client, technology, business and GTM teams are defined and agreed upon.

UX/product research and market intelligence support is in place.

Market Readiness Requirements

Technical readiness confirmed, beta pilots active, POC/use case completed, sales model/comp model, financial model, investor readiness package completed

  • Deep domain and functional expertise is your rite of passage. For example, if building a startup focused on retrieval augmented generation (RAG), understanding how you leverage your specific AI enabled solution when competing with larger platforms that already support enterprise search, data agents and workflow automation is key to your future success

  • Opportunity lies in practical, responsive, outcome focused deployment. For example, small and mid-sized companies typically lack the team, budget, appetite or skills for heavy implementation and need support as opposed to platform assembly

  • Vertical subject matter expertise and relevant implementation support are increasingly important when transitioning from established legacy environments

  • When building a proof of concept, lead with a proven use case and workflows

Market Opportunity Defined

  • Identify your ideal target market. For example, if building a RAG solution in an increasingly crowded market, target small and mid-sized firms with fragmented historical and current data

  • Identify who owns the pain, budget, risk and implementation decision, develop a buyer map and qualification criteria

  • Develop a bounded workflow where data retrieval, evidence, and speed create measurable value. Develop a use case shortlist and recommended wedge

  • Gain a deep understanding of the market landscape. For example, in entering the emerging RAG sector, be aware of existing AI/RAG platforms, vertical players, systems integrators and substitutes

  • Develop an accurate market opportunity forecast model by segment with realistic market sizing and adoption assumptions

Review the GTM Plan