Case Studies
AI products. Real outcomes.
Every engagement starts with a simple question: where can AI create the most value for your customers and your business? Here is what that looks like in practice.
Case 01
Launching agentic AI at scale in cybersecurity
Challenge
A maturing cybersecurity scale-up had a narrow AI vision, a single chatbot, and no strategy for embedding AI meaningfully across the product. The AI and Data Science team was understaffed, and leadership was in transition.
What GPG did
- Reframed the executive vision from a chatbot play to embedded agentic AI workflow automation
- Built and launched the company's first generative AI capabilities to 4,000+ customer organizations, including AI agents and agentic workflows
- Led a cross-functional GTM rollout with Legal, Engineering, and Customer Success
- Served as interim VP of AI & Data Science for three months, stabilizing the team and scaling it from 6 to 9 engineers and scientists
- Co-founded an internal AI Governance Committee across Legal, Security, AI, and Product
- Conducted product and technical diligence on an AI startup acquisition
Results
- Zero churn, zero customer escalationson the first generative AI launch
- $1.8M+ in combined customer expansion and renewal contract valuedriven by AI agents
- $1.1M+ in renewal revenue protectedthrough strategic sales enablement and a risk call that blocked a premature launch
- AI & Data Science team scaled by 50%with attrition reduced during a leadership transition