What Applied AI Means for Professional Services Hiring

Hiring at IT and other services organizations is closely tied to the work your clients count on you to deliver. A graduate hire builds future capability and deeper team bench strength. An experienced consultant brings project expertise. A specialist in AI or cloud engineering can help a team take on work it could not otherwise staff.

And today’s talent market isn’t a game of quantity anymore, it’s a game of quality; where speed is critical to avoid losing to competitors or other industries. This means validating skills quickly, regardless of role type, and moving swiftly to an interview and hiring decision without waiting for manual intervention. It also means shifting strategies when a market is short on ideal candidates versus saturated with them.

That is where a traditional ATS built around rigid processes for tracking applications and moving through set hiring stages can fall short. Hiring technology must support each of the hiring scenarios critical to business success across offices and geographies without turning every variation into another workaround. 

That technology must also have a depth of understanding of an enterprise’s business, and adapt as it learns from how the organization hires. This requires a tremendous amount of connected data built around an infrastructure that can identify the relationships between different data points and how those relationships apply within the nuances of the professional services industry.

Phenom Hire can keep firms competitive by providing a unified system of engagement that connects the entire hiring lifecycle, alongside a reliable system of record, with integrated AI that can be applied with precision to different professional services talent challenges.   

Intelligence isn't the problem. Execution is.

A traditional ATS records the hiring process. It tracks applications, stages and statuses, and stops there. Even where AI has been added, it mostly produces more “insights”: a match score, a ranked list, a dashboard. Someone still has to act on it, usually in another tool.

That's where the gap lies for hiring teams and managers. They aren't short on candidates. They're short on a system that takes the next action: screens the graduate applicant and books the interview, surfaces the specialist already in the talent pool and starts the conversation, generates the offer letter when the decision is made, and triggers onboarding when it's signed. 

Execution is king. From requisition to onboarding, how can AI and automation absorb manual effort, reduce delays, and accelerate hiring processes? On top of that, how can it do it specifically for the workflow of hiring a recent grad, and differently for a consultant with years of experience, to ensure both fit the strategy and culture of your services firm?

This is the work an ATS was never built to do.

That execution has to flex to intelligent orchestration. Recruiting hundreds of graduates is a volume workflow; sourcing a handful of experienced AI consultants is a niche workflow. Both need to run on the same technology and access the same talent data, all uniquely configured by role and location, to bring the speed necessary to avoid losing critical skills.

Phenom Hire goes beyond the basic functionality of an ATS. It provides end-to-end AI automation, built on a knowledge graph that understands professional services hiring at a deep level to help talent acquisition teams craft better requisitions, post them where they’ll make the most impact, expedite screening and interviewing, automate offer management, and seamlessly kick off new hire preboarding and onboarding.

On one platform, the entire hiring team is finally playing from the same sheet music. Hiring managers see the requisition's approval progress, the recruiter sees every candidate and hiring stage, and the candidate knows where they stand in the process; no chasing status across a dozen tools, no visibility gaps where candidates go cold. 

The three stories below follow leading professional services organizations using AI, agents, and automation from a unified platform that understands the context of their industry to take action at each stage of the talent lifecycle. All is done to improve the outcome: connect candidates to the right job, free recruiter time, build a strong bench of internal talent, meet client demands, and reduce business strategy risk.

1. PwC Germany: Put AI and automation to work at scale

Ask PwC Germany where hiring technology is heading, and the answer is architectural. 

Clients increasingly ask whether they should keep core HR systems while moving talent acquisition and management onto an AI platform. Core HCM platforms carry payroll and foundational HR processes. AI platforms like Phenom carry the talent work with fewer breaks and less integration complexity. 

Initiatives to deploy AI and automation typically arrive through the CHRO, and in some cases the CEO sponsors them directly, because finding the right talent has become a business problem, not just an HR one.

The proof point was execution: a shared service center that had handled screening and other hiring activities across 150,000 applications a year was no longer needed in its previous capacity. Applied AI and automation absorbed the work. Fewer people are processing more candidates in less time.

The firm's leaders are equally clear that the technology alone isn't the outcome. 

When scaling AI across an enterprise, PwC Germany highlighted it’s critical to align strategy, technology, business goals, compliance, and change management. To get this right amid Europe's strict regulatory environment, they brought in their legal specialists early to explain data requirements across the organization.

For professional services teams, the lesson is to ensure technology has the architecture needed to let data flow seamlessly, enabling AI to scale across roles and departments.

2. NTT DATA Inc.: Give recruiters a reason to work differently

The next test is whether recruiters use the technology. NTT DATA Inc.’s transformation shows how removing one daily frustration can build adoption.

After implementing Phenom, adoption lagged due to challenges the company faced unifying multiple talent systems across its workforce. Thousands of candidates in the talent pool went unreviewed. The NTT team took a focused "all-in" approach for a more impactful rollout, choosing to prioritize the recruiter experience, usability, and team engagement. They looked toward a common goal and daily frustration that could make the value tangible: arranging interviews. 

With Phenom Automated Interview Scheduling, a workflow that had required more than 50 clicks was reduced to 10. Recruiters could feel the difference in reduced repetitive work, helping build momentum for wider adoption. Across the broader transformation, NTT DATA reported a 33% reduction in cost per hire.

For leaders considering an ATS change, this is a useful test: What manual work will become easier on an ordinary working day through a unified system of engagement? New technology earns adoption when it removes effort, not when the implementation team declares it live. 

Pro Tip: Start with a recurring problem, make the improvement visible, and build from there.

3. Alight Solutions: Build on the intelligence to make growth visible

Connecting hiring across the business also creates an opportunity to look at internal mobility opportunities within. Could an employee develop the skills needed for a role that would otherwise require an external search? The team at Alight Solutions set out to answer that exact question.

Alight wanted its ~10,000 employees to see a future inside the organization. The benefits administration company had 1,200 job titles, but no skills attached to them and no formal way to explore career paths. Building that foundation manually would have taken years.

Already using Phenom for internal mobility and mentoring, Alight extended that experience with Phenom Career Pathing. Phenom’s skills ontology mapped skills to its job titles automatically, giving the team a starting point to refine — without requiring months of manual data entry. Their “Career Compass” launched in six months, with personalized learning recommendations linked to employee skill gaps. Employees could explore growth in an environment they already knew. 

Alight’s career pathing story shows how leveraging a unified platform that supports the entire talent lifecycle can drive outcomes such as helping employees prepare for their next role. For professional services, that belongs in the conversation about hiring to meet future client needs.

The starting point for modern talent acquisition.

Each of these organizations closed the same gap in a different place: the distance between knowing what to do and having a system that does it. For professional services firms, that gap is widest in hiring, where the process runs from the decision to open a role through screening, interviews, offer, and onboarding, and where a traditional ATS only keeps track.

In large, complex hiring environments, thousands of candidates can go unreviewed when fragmented data and manual processes slow hiring. Connecting data, intelligence, and automation in one system helps teams move the right candidates forward and free HR capacity for more strategic work.

When intelligence is shared across the talent lifecycle and automation removes the friction between those steps, it sets off a chain reaction of events: An incomplete application triggers a follow-up. A status change to offer-ready triggers the letter and e-signature. Acceptance triggers onboarding where new hires are guided from offer to day one readiness. Then as employees, supported through upskilling, career growth, and beyond.

If you and your organization are considering a change, start with these questions:

• Can candidates easily connect to the right job?

• Can teams adapt AI and automation specifically for each role?

• Can managers leverage agents to expedite hiring and see where there are process bottlenecks?

• Do recruiters get a unified view of internal and external candidates to make the best talent decision?

If the answer runs through three different tools, and those tools are applying the same workflows generically to every role, the technology is focused on record-keeping instead of record-breaking.

Professional services teams are thinking differently and connecting talent decisions in one platform, with intelligence shared across every stage and automation carrying the work between every step so everyone is on the same page, from requisition to day one.

See how Phenom Hire runs the whole workflow — and what your team could stop working around.