News and Articles
Industry Perspective
How the AI Revolution is Rewriting Professional Services
The economics of professional services have long run on a straightforward premise: expertise multiplied by time. AI is straining that model in ways that are already showing up in the numbers, with the top 20% of AI-mature firms posting billable utilization above 74%, EBITDA margins in the mid-20s, and revenue per consultant more than 50% higher than peers. In Inc., Certinia CEO DJ Paoni argues that the real strategic question for professional services leaders is how to deploy AI across intelligence-heavy work (drafting, research, analysis, structured data) while deliberately positioning human expertise around judgment: knowing which client risks matter, when to push back, and how to earn trust.
Industry Perspective
The hidden tax of “Franken-stacks” that sabotages AI strategies
Enterprise AI agents fail not because of flawed AI models, but because they're layered on top of fragmented "Franken-stacks" — disconnected point solutions that deny agents the full business context they need to reason accurately. As Certinia’s Raju Malhotra writes in VentureBeat, the fix is simple: a platform-native architecture built on a unified data model, where all business data lives in one place, giving AI agents a complete, real-time view of operations without translation layers or sync delays.
Industry Perspective
Diagnosing the AI Readiness Gap in Professional Services
Professional services firms are struggling to convert AI pilots into measurable business results, with the core problem being that early initiatives were designed for experimentation rather than production-grade ROI — and firms that focus on tooling while underinvesting in data quality and process standardization rarely bridge that gap. In Enterprise Times, Steve Brooks writes how success hinges on treating AI as a strategic lever for growth and efficiency, with hybrid human-and-agent delivery teams operating across connected, well-structured workflows.
Industry Perspective
How These Companies Are Upskilling Employees To Leverage AI
Comparably highlights how five companies are approaching AI workforce readiness, with the shared takeaway that the most effective strategies put people first rather than focusing purely on tool adoption. Each company uses a mix of foundational literacy programs, role-specific training, governance frameworks, and hands-on experimentation to build cultures of AI fluency across their organizations.
