AI Agents for HR
FISTA Solutions builds HR AI agents that respect the legal weight of employment decisions: summarizing candidates against explicit recorded criteria, coordinating interview scheduling, answering employee policy questions with citations, and processing onboarding documents — with humans making every hiring decision.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What can AI agents do in HR and recruiting?
HR agents summarize candidates against explicit job criteria with resume evidence quoted, coordinate panel scheduling across time zones, answer employee policy and benefits questions with citations, collect and validate onboarding documents, and draft candidate communications.
- 01
Screening support agent
Summarizes candidates against explicit recorded criteria with evidence quoted, never against protected characteristics.
Recruiting - 02
Interview scheduling agent
Coordinates panels across calendars and time zones, handling reschedules without recruiter chasing.
Coordination - 03
Employee policy agent
Answers policy and benefits questions from approved documents with citations, escalating discretionary cases.
Employee - 04
Onboarding document agent
Collects, validates, and files onboarding documents, flagging missing items before a start date.
Onboarding - 05
Candidate communication agent
Drafts status updates and scheduling messages within policy, keeping candidates informed.
Experience
Requirements
What guardrails do HR and recruiting agents need?
HR agents operate where automated decisions are regulated and auditable, so guardrails are explicit: criteria are recorded configuration, protected characteristics are excluded, humans decide, and logs support the bias audits some jurisdictions now require.
| Guardrail | Why it matters here | How FISTA implements it |
|---|---|---|
| Auditable criteria | Automated employment decision rules require notice and auditing. | Criteria as versioned configuration, decision logs retained, and outputs structured so a bias audit can run on real data. |
| Protected characteristics | Discrimination risk is direct and severe. | Exclusion of protected characteristics and close proxies from features, with consistent criteria applied to every candidate. |
| Human decisions | Hiring and employment decisions must be attributable. | Agents rank and summarize only; every advance, reject, and employment decision records the accountable human. |
| Employee privacy | Worker data spans jurisdictions. | Region-aware storage, purpose scoping, retention schedules, and access logging on employee records. |
| Sensitive escalation | Some employee questions require a person. | Detection of harassment, health, and grievance topics with immediate routing to HR staff rather than automated answers. |
Where AI fits
Which HR and recruiting workflow should you automate first?
Start with the employee policy agent and interview scheduling. Neither influences a hiring decision, both remove hours immediately, and they build the retrieval and escalation patterns that screening support will later depend on.
- 01
1. Answer employee policy questions
High volume, cited from approved documents, and free of hiring decision risk.
- 02
2. Coordinate interview scheduling
Pure logistics that recruiters lose hours to every week.
- 03
3. Process onboarding documents
Validation and gap flagging before start dates, reviewed by HR.
- 04
4. Add screening support
Only with explicit criteria, counsel review, and logs that support a bias audit.
- 05
5. Review outcomes regularly
Examine screening outcomes for adverse impact on a schedule, not after a complaint.
Cost and timeline
How much does an AI agent for HR and recruiting cost, and how long does it take?
Cost is driven by integration count and compliance evidence; timeline by HRIS access and legal review of automated logic. FISTA does not quote blind: the scoping call returns an agent design, an audit-ready design, and a phased estimate.
Legal review is a scheduled activity, and it goes faster when screening logic is explicit configuration rather than opaque model behavior. FISTA writes it that way specifically so counsel can read and approve it.
Integration priority follows manual effort. Scheduling and policy retrieval usually return hours immediately; deeper ATS and HRIS integration follows once the value is demonstrated.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why choose FISTA Solutions to build your HR and recruiting agents?
FISTA builds HR agents with criteria your counsel can read, decisions attributed to humans, and logs that make bias auditing possible rather than theoretical. Work is contracted through a US entity with full IP assignment.
HR specifics
- Screening criteria are explicit, versioned configuration reviewable by counsel, not emergent model behavior.
- Protected characteristics and close proxies are excluded, with the same criteria applied to every candidate.
- Every advance, reject, and employment decision records the accountable human who made it.
- Sensitive employee topics — harassment, health, grievances — route immediately to HR staff.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Is AI screening legal?
It is regulated and increasingly requires notice and bias auditing, with New York City's Local Law 144 as one example. FISTA builds screening as explicit auditable criteria with human decisions and retained logs so your counsel can review the logic and audits can actually be performed.
02Can an agent reject candidates?
No. Agents summarize and rank against stated criteria with evidence; humans make every advance and reject decision, and the system records who decided.
03How do you prevent bias?
By excluding protected characteristics and close proxies, keeping criteria explicit and job-related, applying them consistently, retaining decision logs, and reviewing outcomes for adverse impact on a schedule.
04Can an agent answer sensitive employee questions?
It answers routine policy and benefits questions with citations. Harassment, health, grievance, and accommodation topics are detected and routed immediately to HR staff.
05How long until deployment?
Policy and scheduling agents typically go live within weeks; screening support follows legal review of the criteria and logging design, which discovery dates.
Scoped in writing before you commit
Remove the coordination work, not the accountability.
Bring the scheduling load, the policy questions, or the screening backlog. The scoping call returns an agent design and an audit-ready plan.