Key Takeaways
- Resource utilization remains one of the strongest predictors of profitability in professional services.
- The challenge is no longer simply maximizing utilization; it's managing capacity across a growing mix of human and AI resources.
- Firms that identify and automate agent-eligible work can expand capacity without proportional growth in headcount.
- The future of resource management lies in allocating work to the right combination of people and AI.
Resource utilization remains one of the most important drivers of profitability in professional services. Yet the companies gaining an advantage today aren't necessarily the ones with the highest utilization rates. They're the ones embracing how work gets allocated, forecasted, and delivered across both human teams and emerging AI-enabled capacity.
For years, professional services leaders focused on balancing supply and demand across consultants, project managers, contractors, and partners. That challenge hasn't gone away, but it has become significantly more complex. AI is introducing a new workforce layer, creating new opportunities to expand capacity, improve margins, and rethink how work gets done.
Those realities were at the center of a recent conversation between TSIA Distinguished VP of Professional Services, Bo DiMuccio, and Accelo CEO Joe DiPaulo. Their discussion explored why utilization is evolving from a performance metric into the outcome of better planning, how AI is reshaping capacity management, and what professional services leaders need to do now to improve profitability.
Listen to the full conversation:
The New Capacity Management Equation
If a 1% improvement in utilization can generate up to a 20% increase in profitability, it's easy to see why professional services leaders continue to obsess over the metric.
But here's the irony: most firms focus on managing traditional utilization.
"When you look at utilization metrics, most firms are running between 55 and 65%," said Bo DiMuccio. “That's not accidental. Over the past two decades, professional services organizations have become increasingly disciplined about balancing supply and demand across their workforce.”
The challenge today is that the underlying equation has changed.
For years, capacity planning was largely a people problem, aligning human resources with project needs. The goal was simple: match the right people to the right work at the right time.
Today, capacity comes from more places than ever before. Alongside employees, organizations increasingly have access to AI-powered resources capable of handling structured, repeatable work—and that changes the role of resource utilization itself.
The real question is no longer "How do we increase utilization?" It's "How do we allocate work across all available resources to maximize capacity, profitability, and client outcomes?"
That's where many firms still struggle.
97% of organizations track utilization, yet fewer than 2% are using AI to support resourcing decisions.
Utilization is one of the most closely monitored metrics in professional services. TSIA research shows that 97% of organizations track utilization, yet fewer than 2% are currently using AI to support resource scheduling and allocation decisions.
In other words, leaders are looking at the result of their decisions rather than the decisions themselves.
Modern capacity management requires something different. It requires the ability to forecast demand, understand available capacity across human and AI resources, identify risks before they affect delivery, and make adjustments when there is still time to change the outcome.
That's the shift underway: from measuring utilization to actively orchestrating capacity across a hybrid workforce.
The Future of Capacity Is Work Allocation
For decades, professional services firms planned capacity by asking a straightforward question: Do we have enough people to deliver the work in front of us?
However, a more important question is emerging: What is the best resource for the work?
As AI becomes part of the delivery ecosystem, capacity management is shifting away from headcount planning and toward work allocation. The goal is no longer simply matching people to projects. It's determining which activities require humans and which can be handled more efficiently through AI.
That distinction matters because not all work creates equal value.
"AI isn't about replacing people. It's to ensure that highly skilled professionals spend more of their time on the work only they can do." -Joe DiPaulo
Human consultants still provide judgment, context, client relationships, strategic guidance, and problem-solving. Those capabilities remain at the heart of professional services. But most engagements also include structured, repeatable work: status reporting, documentation, reconciliation, analysis, project administration, and other tasks that consume valuable capacity without necessarily requiring deep human expertise.
The companies gaining an advantage are learning how to separate those categories of work and allocate them differently.
As Joe DiPaulo noted during the discussion, “AI should be viewed as another resource available to the business. The opportunity isn't to replace people. It's to ensure that highly skilled professionals spend more of their time on the work only they can do. As AI takes on structured, repeatable work, organizations can reserve their most experienced consultants for the activities that deliver the most value to clients. That's where the real profitability opportunity emerges.”
A 200-Hour Engagement with 60 Agent-Eligible Hours: What Changes?
To make this tangible, imagine a standard 200-hour client engagement.
Traditionally, you'd staff that engagement with a senior consultant and a more junior resource. Two hundred hours of work meant two hundred hours of human effort.
Now imagine that 60 of those hours consist of structured, repeatable activities such as writing status reports, reconciling budgets, drafting proposals, gathering information, or analyzing data. These are tasks that can increasingly be handled by AI without sacrificing quality or judgment.
Suddenly, the engagement requires 140 hours of human effort rather than 200.
The immediate benefit isn't simply efficiency. It's capacity.
Your most experienced consultants spend more time advising clients and solving problems. Timelines can compress because routine work is completed faster. Revenue can be recognized sooner. Margins improve because valuable human expertise is focused where it creates the greatest impact.
Accelo customers are already seeing this play out. One agency reported a 40% improvement in profitability after gaining better data visibility and integrating AI into their workflows. Another reduced the time spent on resource planning by 50%.
These aren't incremental gains. They're the result of fundamentally changing how work gets allocated. Learn more about Accelo’s AI capabilities.
AI Is Only as Good as the Data Behind It
Ask most professional services leaders where their resource data lives and you'll often hear a familiar answer: some of it lives in the PSA, some in the CRM, some in HR systems, and some still lives in spreadsheets.
The challenge isn't a lack of data. It's a lack of connection.
Skills, availability, workload, project history, financial performance, pipeline demand, and delivery capacity often exist in separate systems. That fragmentation makes it difficult to forecast accurately and nearly impossible to make proactive resource decisions at scale.
As DiPaulo noted, “If organizations don't have the right data foundation, it becomes difficult to plan ahead or leverage AI effectively.”
This is why AI isn't the starting point.
AI doesn't fix disconnected operations. It amplifies whatever foundation already exists. Organizations that layer AI onto fragmented systems often get faster confusion, not better decisions.
The firms seeing the greatest success are building connected operational environments where CRM, PSA, financial, and workforce data work together. Only then can AI reliably forecast demand, identify capacity risks, optimize resource recommendations, and surface opportunities to improve profitability before problems appear.
Only 17% of organizations are truly AI ready; assess your AI readiness now.
What Good Capacity Management Looks Like Today
What high-performing professional services organizations are building toward is what TSIA describes as a command center approach to resource management: a connected environment where resource intelligence informs every decision. This includes:
- Understanding current capacity across skills, workloads, and availability
- Forecasting demand based on pipeline activity before deals close
- Identifying project risks early and adjusting resourcing before delivery or profitability are affected
- Gaining visibility into how work is being allocated across both human and AI resources
The future of capacity management isn't a dashboard that tells you your utilization rate after the fact. It's a system that tells you where valuable consultants are doing work that could be automated, where margins are beginning to erode, where future capacity constraints are emerging, and what actions to take before those issues become business problems.
That's the difference between measuring utilization and managing capacity. And it’s also exactly where Accelo is helping firms evolve.
From surfacing capacity risks and recommending resource allocations to automating routine project work and supporting consultants with real-time operational insights, AI becomes most valuable when it is embedded across the entire project lifecycle. Accelo's vision is to help professional services firms combine that intelligence with human expertise to create a more scalable and adaptive approach to resource management.
The goal isn't simply to improve utilization. It's to build a resource management model that continuously aligns the right work to the right resource, whether that resource is a consultant, a project manager, or an AI-powered agent.
The future of professional services won't be defined by who has the most people. It will be defined by who can most effectively combine human and AI resources to create capacity, deliver outcomes, and drive profitable growth. See how Accelo’s PSA platform integrates AI to improve your resourcing and profitability. Book time with our team now.
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