Discover how the FDR model combines human judgment and AI agents to scale hiring with quality and accountability.

An FDR is not a staffing agency, or an RPO desk and or a chatbot. An FDR works inside a client's hiring team, partners directly with the CHRO and business leaders, runs AI hiring agents, and is accountable for hiring outcomes.
FDR is a new operating model we are building with our early enterprise partners, designed around the objectives of CHROs and Global Capability Center (GCC) leadership teams are measured on. An FDR is an embedded hiring operator who combines human judgment with AI agents. They sit with your hiring managers, learn your roles and culture first-hand, and run Exterview's agents to source, screen, interview and rank candidates.
The idea comes from engineering. Palantir pioneered the forward deployed engineer: an engineer placed inside the customer's environment to make the product work where it matters. We are applying the same principle to hiring. The recruiter moves from outside the team to inside it, and the platform does the volume work.
An FDR is not a staffing agency, or an RPO desk and or a chatbot. It is a person who owns your hiring results, backed by AI.
The FDR model is still evolving. However, the outcomes it targets (time to hire, cost per hire, quality of hire and auditable decisions) sit at the top of CHRO's agenda, and we want to shape it with the leaders who own them.
The FDR works directly with the CHRO and the GCC's leadership team (the "A-Team"), not just with a talent acquisition coordinator. That puts hiring decisions next to the business plan they serve, whether that's a new GCC ramp, a capability build-out or a critical leadership hire.
Humans make every final hiring decision. Every agent action and every FDR decision is logged, so each hire is explainable and auditable. This matters most in regulated industries such as banking, financial services, pharma and healthcare.
An FDR combines the context of an in-house recruiter with the capacity of AI and the accountability of an outside partner.
The FDR model creates value on five levers that CHROs and business heads already track: time, cost, quality of hire, risk and scale. Each one is measured on a shared scorecard from day one.
Each engagement agrees baselines and targets with the CHRO up front.
The FDR model is built for organizations hiring at scale or hiring for hard-to-fill technical roles. It fits best for:
Enterprise hiring is breaking in the last mile, and AI tools alone have not fixed it. Most organizations now face three problems at once.
The common thread is distance. Agencies and RPO providers work from outside the team. AI tools work without anyone accountable for their output. The FDR model closes that gap.
We're building the FDR model with a small group of early enterprise partners. It starts with a working session with the CHRO and GCC leadership to map your hiring plan, define the scorecard and agree what success looks like. From there, Exterview assigns an FDR, configures the platform for your roles, and begins hiring, typically within [X weeks].
Talk to us about becoming an early FDR partner →
The FDR model is a new operating model that Exterview is building with early enterprise partners. We're working with a select group of CHROs and GCC leadership teams to shape it. Organizations interested in joining can contact us to discuss fit.
FDR stands for forward deployed recruiter. An FDR is a recruiter embedded in a client's hiring team who runs AI hiring agents and is accountable for hiring outcomes. The term borrows from the forward deployed engineer, a role pioneered by Palantir.
No. An FDR works alongside your talent acquisition team and hiring managers. They take on high-volume and specialized hiring programs, run the AI agents, and free your internal recruiters to focus on strategic roles and candidate relationships.
The FDR works directly with the CHRO and the GCC leadership team. They turn the GCC's ramp plan into weekly hiring targets, run Exterview's agents for screening and interviews, lead a weekly hiring council, and report monthly on time, cost, quality and compliance metrics.
The FDR model reduces costs by moving in-scope roles away from agency fees, adding hiring capacity without adding recruiter headcount, cutting the interview hours senior leaders spend on early rounds, and reducing the cost of mis-hires and offer dropouts through better evaluation.
An RPO typically runs recruiting processes from outside your organization at scale. An FDR works inside your team, uses AI agents to multiply capacity, and is measured on hiring outcomes rather than process service levels.
Your hiring managers do. Exterview's agents produce structured, explainable evidence, and the FDR advises on it. Humans make every final decision, and every step is logged for audit.
Yes. Exterview was built for regulated enterprise hiring, with auditable scoring and end-to-end audit trails. The FDR model adds a named, accountable person to that process, which simplifies compliance reviews.
FDRs support both high-volume and specialized hiring, including software engineers, AI and forward deployed engineers, and other technical and business roles.
Agents Assist. Humans Execute.
