The Professional Services Pursuit

In this episode of The Professional Services Pursuit, Kantata presents a special TSIA session exploring what outcome-based pricing really means and why most professional services firms misunderstand it. Peter Fitzpatrick, VP of Value Engineering at Kantata, and Bo DiMuccio, Distinguished VP of Professional Services Research at TSIA, explain the difference between outcome-aligned and fully contingent pricing, why hybrid base-fee and performance models are gaining traction, and what firms must change operationally before putting revenue at risk.Why outcome-aligned pricing is different from true outcome-based pricingWhy hybrid pricing models are emerging as the most practical option for professional services firmsHow attribution, telemetry, cash flow, and client readiness can determine whether a model succeedsWhy firms should standardize and productize delivery before pricing measurable outcomesReal-world examples, and a clear roadmap for navigating the transition.

In this episode, Brent sits down with Tom Rodenhauser, Managing Partner at K2 Consulting Research, to discuss why AI is forcing consulting firms to rethink the way they create value.For decades, consulting firms have been paid for outputs — deliverables, implementations, and billable hours — with the assumption those outputs would drive meaningful business outcomes. But, that assumption is starting to break. Demand is still there. Clients are still buying. The model is holding, for now. But beneath the surface, AI is rapidly reshaping the economics of consulting. Firms that continue selling effort instead of impact risk competing on speed and price, while the firms that embrace measurable outcomes will define the next era of consulting.In this episode, you'll learn:Why AI is disrupting far more than productivityThe critical difference between outputs (deliverables) and outcomes (business results)Why outcome-based pricing remains difficult to implement, despite years of industry discussion.How consulting firms need to rethink utilization, compensation, client relationships, and commercial models for the AI era.Tom's predictions for the future of consulting

In this episode of The Professional Services Pursuit, Brent sits down with Kantata CEO Michael Speranza and Chief Product Strategy Officer Sarah Edwards to explore a growing challenge facing professional services firms: AI sprawl.Michael and Sarah discuss why professional services require a different approach to AI — one built around business context, connected operations, and institutional knowledge. They share their perspective on how firms can move beyond isolated automation to intelligence-driven operations, and how those ideas shaped the development of Kantata's newly launched Expertise Agent capabilities.Key topics covered:Why the explosion of AI tools and role-specific agents is creating more complexity, silos, and noise for professional services firmsThe critical role of business context in AI, and why better decisions require a connected view across sales, resourcing, delivery, and financialsThe launch of Kantata's Expertise Agent and why the company chose to build a context-aware AI superagent instead of workflow-specific agentsHow leading firms can capture institutional knowledge, learn from every project, and turn expertise into a scalable competitive advantageWhat will separate the highest-performing professional services organizations in the emerging "Expertise Era"To learn more about Kantata’s new AI capabilities, click here.

In this episode, we explore how professional services organizations can reduce project unpredictability by closing the gap between scoping, pricing, and delivery. Banoo sits down with Anish Udayakumar, Senior Vice President of Product Management and Customer Experience at Provus, for a thoughtful conversation on why projects that start with strong plans and healthy margins often end up facing scope creep, resource constraints, margin erosion, and delivery risk.Topics discussed in this episode include:Why margin erosion often goes unnoticed until late in the project lifecycleHow disconnected sales, delivery, operations, and finance workflows create unpredictable outcomesWhy resource availability, skill alignment, and capacity planning should be incorporated earlier in the quoting processHow unified data, AI, and historical project insights can improve scoping accuracy, pricing confidence, and delivery predictabilityLearn more about Provus at https://provus.ai/

In this episode, Brent sits down with Sarah Edwards, Kantata’s Chief Product Strategy Officer, for a practical look at why consulting firms can no longer rely on headcount-driven growth — and how AI is reshaping the traditional talent pyramid.Together, they break down the three critical shifts redefining consulting — and what leaders need to prioritize now to activate smarter resourcing, pricing, and delivery models.Other topics covered in this episode include: Why rising client expectations are putting pressure on delivery speed, cost, risk, and team capacityHow AI is changing consulting talent models, including the shift away from the traditional pyramid structureWhy outcome-based pricing, fixed-fee models, and productized services are becoming more importantHow connected data, trusted systems, and better operational visibility help firms make faster, more confident decisions

In this episode we share a conversation from a recent Leaders in Consulting podcast, where Kantata’s Chief Product Strategy Officer, Sarah Edwards, sits down with James Cawthorne, CEO of FOIL. At the center of the discussion is a shift every services leader is starting to feel: clients no longer want dependency — they want independence. James makes the case for “autonomic consulting” — a model focused on embedding capability directly into the client’s business. Instead of delivering answers, firms must build systems that encode knowledge, drive consistency, and enable better decisions at scale.In this episode, you’ll learn:Why competing on productivity in the age of AI leads to diminishing returnsWhat “system intelligence” actually means, and why it matters more than standalone AI toolsHow client expectations are shifting from support to true capability-buildingWhy dependency-based models are becoming structurally unstableWhat it takes to stay relevant when value, not effort, becomes the primary differentiatorIf you’re rethinking how your firm delivers value, and how to create more predictable, scalable outcomes for clients this conversation is a must-listen.