Hiring with AI? Why Six Years of Fosway Strategic Leader Recognition Matters More Than Ever

Enterprise AI investment in talent acquisition has never been higher, but returns on that investment have been hard to demonstrate. Only 27% of AI features claimed by talent acquisition vendors are actually live with customers, according to Fosway Group's recent AI Market Assessment for Talent Acquisition.

While many enterprises have bought tools, few have reached the point where AI is doing meaningful work alongside their teams. 

The gap keeps widening, which is exactly why Phenom is proud to announce we’ve been positioned as a Strategic Leader in the Fosway 9-Grid™ for Talent Acquisition for the sixth consecutive year — recognition grounded in what customers actually deploy and what they get back.

Why Enterprise AI Adoption Is Stalling in Talent Acquisition

Vendors announcing capabilities faster than they can put them into production is nothing new in HR. But the problem doesn't stop there. Even when technology does ship, most organizations aren't equipped to put it to work. According to Phenom's State of AI & Automation for HR: 2026 Benchmarks Report, more than 83% of organizations are stuck between task-level and partial process automation, and fewer than 1% have reached high intelligence maturity.

Part of the challenge? AI capabilities are often sold as point features rather than connected workflows, and implementations stall when policies, compliance requirements and the specifics of how each business operates are treated as afterthoughts. Change management is left to the buyer, and by the time TA teams figure out how to use a new capability, the next one is already being announced. And so the cycle continues.

How Phenom's AI Goes Deeper 

Fosway evaluates vendors on performance, potential, presence, total cost of ownership and trajectory. Phenom's positioning reflects what enterprises actually deploy across hiring, candidate relationship management, screening, interviewing and onboarding, and the outcomes those customers continue to produce.

That positioning is backed by Phenom WorkOps, a workforce execution solution built on a decade of applied AI innovation. WorkOps orchestrates work across the entire talent lifecycle, applying company policies in real time through a Hypercell framework that tailors AI to the specific industry, role, function, geography and workflow where it operates. 

At the center of WorkOps is a set of AI agents, each built for a specific moment in the hiring process where most teams are still doing the work manually. Because every agent connects into the same orchestration layer, new capabilities extend workflows customers already have in place rather than arriving as separate tools requiring their own rollout:

Intake Agent

Every requisition starts the same way: coordinate a meeting with the hiring manager, take notes, spend days turning those notes into a job description, interview guides and screening criteria, then wait for approval. By the time intake is complete, a week or more has passed before sourcing even begins. Intake Agent removes that bottleneck by conducting guided intake conversations asynchronously through the Phenom Hiring Manager experience, whenever the hiring manager is available. It adapts questions based on responses, surfaces example candidate profiles for the hiring manager to calibrate against, and generates sourcing-ready outputs including job descriptions, interview guides, screening criteria and sourcing strategy, without requiring a recruiter to synthesize notes manually. Each intake also feeds an organizational knowledge base that compounds over time, so when similar roles open later, teams aren't starting from scratch.

Sourcing Agent

Building a search in a mature Talent CRM takes experience. For recruiters who know the system, complex filter configurations are an asset. For everyone else, they're a barrier before a single candidate has been found. Sourcing Agent removes that barrier by replacing Boolean filter-building with natural language. A recruiter describes the candidate they're looking for and the agent builds the search, pulling first from the existing Talent CRM, then surfacing passive candidates from external pools with reasoning for why each profile fits. It then builds the full outreach sequence automatically — every message personalized to the candidate.Once approved, the sequence runs on its own and recruiters get time back for conversations rather than campaign mechanics.

Voice Screening Agent

Most early-stage screening still depends on manual call lists, text and email workflows that candidates frequently don't complete, and recruiter availability that doesn't always match when candidates are ready to engage. Voice Screening Agent replaces that process with automated, role-specific phone conversations that candidates can complete on their own schedule. It uses standardized questions and structured rubrics to deliver consistent screening at any hour, in multiple languages, and feeds AI-generated summaries directly to recruiters. Qualified candidates move forward within a day rather than waiting through the back-and-forth a manual process requires. The results across customer deployments reflect the difference: time to offer cut in half, 400 recruiter hours reclaimed in a single month, and 92% of screenings completed within one business day.

AI Interviewer and Fraud Detection Agent

As virtual and high-volume hiring has grown, so has the risk of candidates misrepresenting who they are through inflated credentials, identity impersonation, deepfake avatars, voice cloning and AI-generated interview responses. Fraud Detection Agent addresses this directly by analyzing video, audio and text throughout the interview process, flagging identity mismatches, voice inconsistencies and signs of AI-generated responses in real time. It delivers time-stamped, explainable insights that recruiters and hiring managers can review, override or dismiss, supporting human judgment rather than replacing it. Working alongside AI Interviewer, which runs dynamic interviews tied to the exact competencies a role requires, the two agents together give hiring teams confidence in both the quality and the authenticity of who they're advancing.

What Production Deployment Actually Looks Like

Across industries, Phenom customers are using these agents in ways that reflect the specific pressures of their unique hiring environments with results that prove their impact. 

Home Health Hiring at Scale. For Elara Caring, one of the country's largest home-based care providers, the challenge was a mismatch between when caregivers are available and when recruiters work. Processing between 7,000 and 10,000 candidates per month across 200 locations, they deployed Voice Screening Agent as a 24/7 conversational screener that reaches candidates on their schedule rather than a recruiter's. The agent cut time from application to offer nearly in half and reclaimed 400 recruiter hours a month, with 92% of screenings completed within one business day.

Keeping Pace With Surging Volume. Application volume across Varsity Brands' two business units jumped from roughly 50,000 to 75,000 in a single year, while the recruiting team got smaller. Recruiters were spending entire weeks just trying to get candidates on the phone, not interviewing, not sourcing, just scheduling. After deploying Voice Screening Agent, the apparel sales pilot alone saved 17,000 recruiter hours, pushed interview acceptance rates from 22% to 70%, and cut time to offer by 20%.

Executive Screening at Volume. HPE took Voice Screening Agent in a direction it wasn't originally designed for. Rather than high-volume frontline screening, they used it for VP-level executive hiring with in-depth leadership assessments stretching up to 90 minutes. With more than a million applications received annually and only 27% acted on due to recruiter capacity constraints, they screened 4,000 applicants for a single VP-level role in 72 hours. AI rankings aligned with recruiter evaluations 92% of the time, saving 60-plus recruiter hours on that requisition alone.

Automating Reference Checks. For Bright Horizons, a family services company, state-regulated reference checks were stalling its hiring pipeline. Roughly 15% failed to complete through its background check vendor, and coordinators were spending their days chasing callbacks. They deployed Voice Screening Agent to automate the process, reaching references on their own schedule and delivering transcribed, summarized responses directly to recruiter profiles.

Scaling Voice Screening. Global industrial technology company ABB piloted Voice Screening Agent in India, where thousands of candidates were applying to each role and most pre-screening calls were falling outside business hours. The pilot achieved 95% screening completion and a 55% applicant conversion rate, with the agent handling simultaneous calls and automatic callbacks for candidates who didn't answer.

Building a Layer of Hiring Integrity. Alight Solutions, a benefits administration company, is in early testing of Phenom Fraud Detection Agent after spotting patterns that manual review was missing at scale, including candidates applying under different names and near-identical resumes appearing across separate requisitions. The agent flags these signals with timestamped evidence, letting recruiters review and make the final call.

Sourcing Specialists Who Aren't Looking. For The Aspen Group, which oversees specialty healthcare brands including Aspen Dental, finding qualified clinicians requires a different sourcing approach entirely. Dentists and specialists rarely browse job boards, so passive outreach isn't optional. Using Sourcing Agent, recruiters replaced Boolean filter-building with natural language search that pulls from both the existing Talent CRM and external pools, then automatically builds and launches segmented outreach sequences. Early adoption data showed three to five minutes saved per candidate on personalized outreach, with an uptick in booked interviews through Phenom scheduling links.

"In a market where AI capability claims continue to outpace what customers can actually deploy, sustained Strategic Leader positioning is meaningful," said Dr. Sven Elbert, Lead Analyst for Talent Acquisition, Fosway Group. "Phenom continues to demonstrate the breadth of functionality, customer adoption and innovation trajectory in a category where buyers are looking for solutions that can move beyond isolated use cases."

How Phenom Is Closing the Adoption Gap

Phenom applies that same rigor to helping customers advance their own AI maturity. A proprietary AI & Automation Maturity Model maps organizations across two axes — automation and intelligence — on a scale from manual processes to fully agentic operations, giving enterprises a clear picture of where they stand and what to prioritize next. Paired with this framework are AI Bootcamps: intensive, 2–3 day onsite engagements where Phenom and the customer co-design and rapidly activate specific AI use cases together.

In practice, the model is already delivering. Kerry Group completed implementation in 13 weeks versus the traditional 30 weeks, a 57% faster timeline with customer effort reduced by 51%. Thermo Fisher Scientific used the bootcamp model to co-design a global workforce redesign strategy built on agentic hiring automations, moving from concept to execution in weeks. A Value Acceleration Model ensures there's always a clear path from go live to validated use case to commercial commitment so AI adoption moves at the speed the business actually needs.

Responsible AI Governance, Built In by Design

Speed without the right guardrails isn't progress. Deploying AI at scale in hiring requires more than capable agents. It requires a governance model that keeps pace with the regulatory and ethical obligations enterprises face.

Phenom completed its first conformity assessment under the European Union AI Act this year and updated its governance guidance on the use of biometric data in Fraud Detection Agent. The governance model now incorporates the National Institute of Standards and Technology AI Risk Management Framework (NIST AI RMF) and the most recently published Organisation for Economic Co-operation and Development (OECD) Guidance. For Voice Agent, a Responsible Deployment Guide gives customers scoring rubric guidance, algorithmic audit support, and risk mitigation resources across use cases so compliance is built into deployment instead of being an afterthought.

What This Means for TA Leaders

The next phase of AI in talent acquisition will be defined by which enterprises operationalize it meaningfully, and which vendors make that possible at scale. 

Phenom’s six consecutive years as a Strategic Leader on the Fosway 9-Grid™ for Talent Acquisition reflects that reality, with diverse customers beyond putting AI to work for their specific use cases, expanding what they deploy year over year, and exceeding the ROI they expect. 

For TA leaders navigating the same gap the rest of the market is stuck in, the path forward is clearer than it's ever been. The agents are real, the results are documented, and the infrastructure to scale is already in place.

See Phenom's Applied AI and agents  in action at IAMPHENOM Europe Nov. 4-5 in Paris, or book a demo to see what's possible for your organization.