Bringing AI into your product is more than a technical upgrade—it’s a strategic move that requires deep market understanding, thoughtful planning, and relentless execution. Unlike traditional software, AI solutions often introduce capabilities customers haven’t yet imagined, making product-market fit (PMF) one of the greatest hurdles. At Commit, we specialize in guiding companies through this unique journey.

Our AI Discovery Process is a structured, end-to-end engagement built specifically for our customers and tech innovators seeking to turn bold AI ideas into scalable, differentiated products. We help you identify high-impact use cases, avoid undifferentiated offerings, and define the strategic path from concept to deployment. From organizational readiness and user research to data strategy and technical architecture—our process ensures your AI product aligns with real customer needs and delivers measurable value.

Generative AI Discovery Workshop
To help you get started, we offer a free 4-hour Generative AI Discovery Workshop, led by our AI experts. This hands-on session uncovers actionable GenAI opportunities tailored to your product and market landscape—providing a practical foundation for competitive advantage and growth.

For companies ready to dive deeper, our AI Scoping & PMF Assessment includes:

• PMF gap analysis and product path validation
• In-depth user interviews and competitor analysis
• ICP & USP development
• Go-to-market and business model recommendations

Whether you're just starting to explore AI or scaling a next-gen solution, Commit is your partner for unlocking AI’s full potential—strategically, responsibly, and with impact.

Driving R&D Productivity with AI

Today’s R&D and engineering teams face increasing pressure to innovate faster while managing complexity, cost, and scalability. Our AI-powered SDLC (Software Development Life Cycle) optimization services tackle these challenges head-on—embedding AI into every stage of the software development lifecycle.

Our SDLC Productivity Services include:

• AI maturity and workflow assessment
• Identification of bottlenecks and inefficiencies
• Deployment of AI tools for code generation, testing, and review
• Implementation of MLOps best practices
• Real-time performance tracking for ROI and velocity

By accelerating development, enhancing code quality, and reducing time-to-market, we enable your teams to focus on what matters most—building exceptional products and driving long-term innovation.