Purpose
Understand the vocabulary and mental model before you go deeper. Every other page assumes these terms.Key objects
Organization
Your isolated organization environment. All data, configuration, and scoring are scoped to it.
Role
A job definition. The structure a candidate is evaluated against.
Candidate
A person being evaluated for a role.
Evaluation
A scored assessment of a candidate against a role’s rubric.
Agent Session
A live, real-time interaction (phone, voice, avatar, panel or HR) run by an
Exterview agent. Assessment and post-hire sessions are Upcoming.
Document Workflow
A non-live task such as role creation or resume match. Offer generation is
Upcoming.
Report / Takeaway
The structured output every completed session or workflow produces.
Rubric
The set of dimensions a candidate is scored against.
Configuration Contract
The signed, versioned, frozen record of all setup decisions that every
evaluation score traces back to.
Human Review
A person reviews and approves outcomes; nothing adverse is decided autonomously.
Outcome Intelligence
Post-hire signals (D30, D60, D90) fed back to improve evaluation quality.
Live sessions vs. document workflows
Exterview runs two kinds of work:- Live session. A real-time interaction: phone, voice, avatar, panel and HR. Upcoming: assessment and post-hire sessions.
- Document workflow. A non-live task: role creation and resume match. Upcoming: offer generation.
AI and Core capabilities
Every capability in Exterview is one of two kinds, and the guides label each page accordingly:- AI. Powered by Exterview’s models: screening, interviewing, matching, and scoring.
- Core. Standard platform work: jobs, candidates, users and roles, billing, integrations, and configuration.
Agents and AI Employees
Exterview runs on agents: specialized workers, each accountable for one job. You don’t build them; they ship pre-built, and you configure the criteria and scope they work to. See Exterview Agents. Agents combine into AI Employees: named roles for AI on your team. Four are available today (Role Designer, Screener, Coordinator and Report Specialist), plus Smaya as the general-purpose assistant. They run with the access rights of the person using them, and creating a role, publishing a job or contacting a candidate always waits for approval. Your teams work with AI Employees, not with raw agents. See AI Employees. Both sit on Smaya, the enterprise Agent OS that provides governance, integration, evidence and lifecycle to every application above it. See Smaya.Independent review of every output
Available today. Automated checks run on every scored output (schema, score range and citations), and the results show in Scoring Logs under Settings. Every score records the model and prompt that produced it. Upcoming. A Quality & Fairness Agent that independently reviews every agent’s output before it becomes part of the record. See AI Observability and Governance & Control.The agent swarm
The agent swarm is Upcoming. As designed, you give Smaya a role, and it builds the pipeline, talks to every candidate, gathers the evidence and brings you the people worth deciding on. You see outcomes and reports, not agents.- Available today. Screen and rank candidates through EX Call, EX Voice and EX Avatar into the Leaderboard, ask Smaya about any job, candidate or report, connect Claude, ChatGPT or Microsoft 365 Copilot over MCP, and work with AI Employees that ask for approval before they create, publish or contact a candidate.
- Upcoming. Starting a role run, the Agent Inbox with reports to view (Proceed, Drop, Talk) and schedules to accept (Accept, Decline, Talk), the full role-to-decision run across all five report moments, outreach sequences, standing 24/7 operation, and run-level budgets and pause controls.
Setting up: the guided journey
Enterprise setup is a guided, phased configuration led by your Customer Success team. You define org structure and what a strong candidate looks like, design the pipeline, set scoring and gates, connect systems, calibrate per domain, and set governance. Every decision is then signed and frozen into the Configuration Contract before go-live. See Enterprise Setup for the full step-by-step path.Configuration tiers
How much you configure depends on your plan. Exterview is designed to land small and expand.
See Configure for the full model.
Hyper-calibration
For Enterprise customers, Exterview builds a per-organization hyper-calibration layer during Foundation setup. Your competencies, role definitions, and scoring context are captured once, taken through a staging journey, and then frozen, so every evaluation is scored the same way and stays reproducible. This calibration is unique to your organization. Upcoming: post-hire outcomes feeding back in, so it compounds over time. See Calibration and Outcome Intelligence.The evaluation lifecycle
Every evaluation moves through five states: The five states every evaluation moves through, from frozen configuration to a monitored result. Each state is defined in the table below.Governance, by design
Human Review
People approve outcomes before they take effect. Roles are set by the nine system roles.
Auditability
Every action and result is logged in a traceable record.
Data privacy
Data is scoped to your organization, with retention and consent controls.
Responsible AI
Content-based scoring, explainability, and no autonomous adverse decisions.
FAQs
What is the difference between a session and a workflow?
What is the difference between a session and a workflow?
A session is live and interactive (an interview). A workflow is a document task, such as creating a role or matching a resume.
What is the difference between an AI feature and a Core feature?
What is the difference between an AI feature and a Core feature?
AI features are powered by Exterview’s models and produce scored evidence:
screening, interviewing, matching, and scoring. Core features are standard
platform tasks such as jobs, users, billing, and configuration. The guides
label each page.
Does Exterview analyze a candidate's face or tone?
Does Exterview analyze a candidate's face or tone?
No. Scoring is content-based, meaning what a candidate says, not biometrics,
facial analysis, or tone.
Can scores change over time?
Can scores change over time?
Configuration is frozen per version in the Configuration Contract. When rules change through change control, scoring re-baselines to a new version so results stay reproducible.
Who can see evaluation data?
Who can see evaluation data?
Access is role-based and scoped to your organization. See Trust & Compliance for details.
Related
- Modules. The full catalog of Exterview modules and what each produces.
- AI Employees. How agents combine into a chartered, governed role.
- Glossary. Every term, defined.
- Enterprise Setup. The guided journey to a frozen Configuration Contract.
- Why Exterview. The category, the moat, and how we’re different.

