Case Study: Agentic AI Pricing Intelligence & Security Governance

Case Study • Enterprise Software / Cloud Computing

Agentic AI Pricing Intelligence & Security Governance

How Avenor helped a Fortune 500 infrastructure provider benchmark enterprise spend and validate security requirements for agentic AI — through fraud-free recruitment of verified C-suite and VP-level decision-makers.

Client: A Fortune 500 technology leader

The Challenge

Grounding an Agentic AI Product Strategy in Verified Market Data

As autonomous agents shift from text generation to task execution, our client — a major infrastructure provider — needed verified data from practitioners actively operating these systems. With significant product and go-to-market decisions on the line, the client needed answers to two critical questions:

Key Questions to Address:

💵

Pricing Elasticity

How do organizations fund agentic workflows today, and what is the typical annual investment for early adopters across company sizes?

🔒

IAM & Governance

What are the non-negotiable security requirements for identity-aware agents that operate with just-in-time access?

The Avenor Solution

Quality-first Expert Sourcing in a Market Saturated with AI Hype

Agentic AI is one of the noisiest segments in enterprise tech — self-proclaimed experts are everywhere. We ran a high-velocity recruitment sprint with our manual vetting process at every stage to ensure the data reflected real enterprise deployments, not aspirational ones.

Adaptive Strategy:

Seniority-matched Recruiting

We secured 30 verified respondents: 50% at the C-suite level (CISO, CTO, CIO) and 50% at the VP/Director level — spanning healthcare, financial services, Retail & CPG, and enterprise software.

Active Fraud Mitigation

Through phone screening, we identified and removed several applicants misrepresenting their seniority and organizational affiliation — a growing problem on LinkedIn. Every final participant was verified against their public profile and confirmed to hold decision-making authority over agentic AI purchases.

Deployment-level Technical Vetting

We required active, in-production agentic AI involvement — not pilot observers. Participants were confirmed to operate autonomous systems across invoice processing, security operations, contact center automation, employee self-service, and dynamic pricing workflows.

Experts Sourced and Delivered

👤

Senior Executive Director · Fortune 500 Healthcare Company

Final decision-maker across agentic AI and GenAI purchasing. Leads deployments spanning dynamic pricing, prior authorization, contact center adaptation, IAM workflow management, and DevSecOps automation across multi-cloud environments.

👤

Director of AI Strategy · Global Enterprise Software Leader

Leads AI strategy for a platform with agentic AI natively embedded across its enterprise ecosystem. Provided direct insight into how large-scale organizations price, deploy, and partner on LLM-powered agents at nine-figure investment levels.

👤

CISO · Major Financial Institution

Sole decision-maker across all AI, cloud, and security purchasing. Operates identity-aware agents with Zero Trust access controls and scoped service accounts for security operations and compliance automation. Spend in the low seven figures annually.

👤

CIO · Government Technology Contractor

Final decision-maker on cloud infrastructure and security. Deploys both in-house and commercial agentic solutions for data enrichment, process automation, and secure data transport for public sector clients. Current spend: $250K–$500K annually.

👤

EVP & CISO · National Law Firm

Final decision-maker on security and AI infrastructure. Deployed agentic voice agents for call center operations via API integrations with third-party platforms. Annual spend: $25K–$75K, with active expansion planning.

The Impact

Pricing Benchmarks & Security Signals from the Enterprise Frontier

By engaging this curated group of senior leaders, the client gained a clear, verified picture of market requirements — delivered with zero data contamination.

✓

100% Authenticity

Zero fraudulent responses in the final dataset. Every participant verified against their organizational role and purchasing authority.

🔍️

Verified Pricing Benchmarks

Spend data spanning pilot-stage to nine-figure commitments gave the client a credible range across enterprise tiers and company sizes.

⚙️

Technical Roadmap Validation

Direct feedback confirmed that IAM workflow management and non-human identity governance are non-negotiable for enterprise buyers.

Key Takeaways: Avenor's Value in Primary Pricing Research

🎯

Source Verified Budget Owners

Pricing research is only as good as the people behind it. Avenor targets executives with confirmed purchasing authority — not influencers or observers.

🔍

Eliminate Fraud Before It Enters the Data

In high-hype markets like agentic AI, impersonation is a real data integrity risk. Our human-led phone screening catches it before a single fraudulent response reaches the client.

📊

Deliver Spend Benchmarks That Hold Up

From $25K pilots to nine-figure commitments — real spend data across enterprise tiers that clients can use directly in pricing models and go-to-market planning..

✓

Enable Confident Product Decisions

Verified market data on pricing models, security requirements, and buyer behavior — everything needed to set strategy with confidence.

Need Experts for Your Next Project?

Submit your research brief and get matched with pre-vetted experts in 12-24 hours.