Microsoft
Business Applications
AI
11 December 2025

Your Specialist Sits Idle While You Hire Contractors: How AI Changes Resource Matching 

Steven Osprey, Chief Technologist
Steven Osprey, Chief Technologist

Here's what I see repeatedly with growing professional services firms: your best people know who should work on what. The problem is, they're too busy to make those calls for everyone else. 

When you've got 50 people across one office, resourcing is straightforward. The senior leaders know everyone's strengths. They make the calls. But fast-forward to 150 people across multiple cities, increasingly specialised teams, and more complex engagements—that informal system breaks. Not because anything's wrong. Because you've outgrown it. 

The Hidden Cost of Relying on Memory 

When resource decisions rely on who answers email fastest or which partner remembers your face, several things happen simultaneously: 

Team assembly becomes subjective. You end up with people who are "good enough" rather than best-fit. A solid developer ends up on a project where they could contribute, but there's someone with sector experience sitting on the bench. This isn't anyone's fault. It's just visibility. The capability exists. You simply can't see it. 

Specialist expertise gets buried. Your best people (the ones with rare skills or deep sector knowledge) sit idle while you hire contractors for work they could do. Why? Because nobody's tracking their true experience comprehensively. They're visible to their local team. Beyond that, they're ghosts. 

Clients sense it. When teams aren't tightly matched to their needs, they feel it. Ramp-up takes longer. Questions take longer. You lose the efficiency that made professional services profitable in the first place. Margins quietly erode while you're solving other problems. 

People get frustrated. Your rising talent doesn't get the opportunities they should. Your experienced people get pulled onto mismatched work. Turnover creeps up. You spend cycles recruiting to replace people you already had. 

Best practices stay trapped. Your best people develop brilliant approaches to common problems. But that knowledge stays with them or their immediate team. You can't scale it across offices or departments. New people reinvent wheels. Mistakes get repeated. The firm's collective intelligence never compounds the way it should. 

Slower project starts, uneven resource utilisation, internal friction, and clients who think "good, not great" about your team. 

Why This Matters Now 

Engagements are increasingly multidisciplinary. Talent is harder to find and easier to lose. Client expectations for team fit have risen. And informal knowledge, while genuinely valuable, simply doesn't scale. 

Firms that solve this problem move faster. Their people are utilised better. Clients arrive confident they've got the right team. Margins stabilise. 

Firms that ignore it find themselves perpetually under-resourced while over-staffed. A genuinely difficult position. 

A Different Approach 

What if you could surface your talent dynamically? Not with bureaucracy. Not with complex admin layers. But with technology that does what experienced partners do instinctively: pull together all the information (real-time availability, past experience, certifications, sector expertise, project history) and make it searchable and visible instantly. 

Microsoft Copilot, built on Azure, can support AI-powered resource matching. Copilot can pull real-time data from HR systems, Microsoft 365, past projects, CVs, certifications and availability. Create a single, dynamic view of your collective capability. 

Then make it searchable. Ask questions the way you'd ask a person. No training required. 

"Show me people with Azure and retail experience." 

"Who's worked on cross-border tax matters in the past two years?" 

"Find team members with dispute resolution background who are available next week." 

What took hours of searching and remembering now takes minutes. Clarity replaces guesswork. 

What Actually Shifts 

This isn't revolutionary. It's practical. But the impact is meaningful. 

Team assembly accelerates. People get allocated based on actual capability, not whoever the partner remembered. Clients feel the difference immediately: better matched teams, fewer knowledge gaps, faster ramp-up. 

Specialist talent becomes visible. Your quiet experts suddenly surface. Bench time falls. Opportunities expand. People see career pathways they hadn't seen before. 

Knowledge becomes an asset, not tribal wisdom. Instead of static spreadsheets and memory, you develop a searchable, dynamic skills picture that updates automatically. When someone completes a certification or delivers a complex engagement, that expertise is captured and visible. 

Margins improve quietly. More precise allocations, faster starts, fewer mismatches. That adds up. Not through cost-cutting. Through efficiency. 

Crucially: this isn't replacing human judgement. It's supporting it with visibility and scale. 

Where to Start 

If this resonates, there are a few practical starting points. 

First: audit how resource decisions get made right now. Not the policy. How it actually happens. Where do you lose visibility? Where do mismatches happen most? 

Second: look at your data. Most firms have everything they need (CVs, project histories, certifications, skills matrices). The challenge isn't data. It's pulling it together into something searchable and current. 

Third: test with a realistic use case. Pick a specific resourcing challenge from last month. See how the tool would have helped. See if the time savings justify the effort. 

Most firms find it does. 

One Final Thought 

The firms that do well over the next decade will likely be those that can evolve from intuition-driven resourcing to insight-supported resourcing, whilst keeping the human element at the centre. 

When you match the right people to the right work more consistently, clients notice, teams notice, and the numbers tend to reflect it. 

And in many cases, the expertise you need isn't missing. It's simply waiting to be surfaced. 

Want to explore what this could look like? 

TSG is a UK Microsoft Solutions Partner with deep capabilities across Microsoft Copilot, Azure, Microsoft 365, data and AI. We help professional services firms modernise their resourcing, knowledge and operational systems in practical, scalable ways. 

Get in touch to see what's possible. 

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