Ship AI-native products and scale
Technology companies face a double challenge: embedding AI into their own products while scaling back-office functions that were built for a smaller company. McKinsey identifies high tech as one of the three sectors with the largest generative AI value at stake, up to US$460 billion, concentrated in software engineering and customer operations. Prime Partners works on both sides of that challenge.
opportunities
AI architecture
in focused sprints
measure impact
Three forces reshaping the sector
AI in the product is table stakes
Efficient growth has replaced growth at any cost
Data platforms are the constraint
Where we create value
AI product development
CognitiveCore and GenSolve AI provide the foundation-model, RAG and orchestration layer for AI features, with production in under 10 weeks [PP claim].
Fractional CTO and architecture advisory.
Senior technology leadership for scale-ups without a full-time CTO. Practice: Enterprise IT Modernization.
Finance and HR scale up
Automated revenue recognition, billing reconciliation, close and board reporting; digital HR service and workforce analytics. Practices: Finance, HR
Data platform and governance
Nucleus and Data Lake & Governance services for product, customer and financial data. Technology SaaS.
Customer support automation
Conversational AI with 40–65% containment (Gartner benchmark) and AI-handled ticket costs of roughly US$0.50–1.05 against US$8–12 for human handling (Gartner, Forrester).
Up to US$460bn
Generative AI value at stake in high tech (McKinsey)
<10
Weeks to production for GenSolve AI assistants and copilots [PP claim]
40–65%
Support containment with enterprise conversational AI (Gartner)
~0.66%
Of revenue: top-quartile finance function cost to aim for (APQC)
