PP&A Case Study
Gauging Enterprise Appetite and Pricing Tolerance for AI Agents in Software Development
How a Fortune 10 technology company tested agent commercialization models with engineering leaders
Client Situation

A Fortune 10 technology company was defining how to commercialize generative AI agents across the software development lifecycle: coding assistants, documentation and test generation, build, deployment and testing agents, alongside conversational and sales-support agents. The open questions were commercial as much as technical. Would customers accept token-based pricing, per-user licensing or outcome-based models? How much cost transparency and granularity did they need? Would a buyer be surprised by a large bill for an agent that built an application in a day?

The company also wanted to understand how enterprises perceive the established players, the mid-sized challengers and the start-ups entering the space, what risks they weigh when purchasing, whether agents would stay task-specific or become multi-functional, and which parameters organizations use to track the value agents deliver.

Our Approach

PP&A designed an interview guide in eight sections: the interviewee's experience with AI agents, where in the lifecycle agents add the most value and how that value is quantified, pricing models and monetization, decision-making and risk management, commercialization and market dynamics across the three tiers of vendors, multi-agent approaches and integration formats, and expectations for the next one to two years.

In March and April 2025 the team led in-depth interviews with engineering and technology-procurement leaders who had used or evaluated agents for coding, documentation, testing or deployment. PP&A synthesized the conversations into an interview-findings readout organized around four themes: agents in the development lifecycle, budgeting and productivity, costs and pricing, and adoption and future trends.

Client Results

The client received a readout on how engineering and procurement leaders think about agents in practice. It described where organizations were exploring agents across the development lifecycle and where human oversight stays in place. It covered how teams budget for development work and how they try to measure what an agent contributes. It set out which pricing structures large buyers would accept and under what conditions, and how leaders expect adoption to move from pilots into production. It also captured how they expect agents to specialize across the lifecycle and what that means for development teams. The overall signal was measured, step-by-step adoption rather than a rapid shift.

The readout gave the client a grounded view of pricing tolerance and adoption pace to feed its commercialization plan.

Share this case study: Share on LinkedIn
Ready to Elevate Your Business?

Our expert teams are committed to helping you navigate market complexities and transform challenges into substantial opportunities. Explore how our specialized services can drive your professional success by connecting with us today.

Contact Us
About PP&A

At PP&A, we are dedicated to empowering businesses to excel through strategic innovation. We integrate deep industry insights with comprehensive analytics to develop bespoke solutions that propel growth and enhance performance. Our services encompass a broad spectrum, including:

Executive Training
Ready to Implement AI in Your Organization?

Join our Generative AI Executive Workshop and gain the strategic insights and hands-on skills to lead AI-driven transformation. Starting at $2,750 per participant.

Related Case Studies