Operations & Throughput · Use Case Hub

Automate HR Employee Support with AI.

How to automate hr employee support with AI across 2 industries with a scoped engagement page. Workflow design, AI agents, governance, and the KPIs (case resolution time, HR tickets per employee, policy accuracy, and employee satisfaction) we report on weekly. Pick your industry below.

Projects from $15k · Refundable 7 days · Kickoff within 5 days

Primary outcome

answer employee questions consistently and reduce HR ticket load

What we ship

HR knowledge assistant, case routing, policy review workflow, and analytics

KPIs we report on

case resolution time, HR tickets per employee, policy accuracy, and employee satisfaction

What "automating hr employee support with AI" actually means

Automating hr employee support with AI is not a single product you buy. It is a workflow you redesign around AI as the operating layer. The agent handles the high-volume, high-structure tasks. Humans handle edge cases, exceptions, and trust-sensitive decisions. The system is instrumented to measure case resolution time, HR tickets per employee, policy accuracy, and employee satisfaction and improve weekly.

What changes by industry is the systems the agent integrates with, the data it retrieves over, the controls it operates under, and the KPIs it has to defend. The architecture is similar; the integration and the controls are different.

The architecture we use for AI hr employee support

  • Frontier LLM — Claude, GPT-4-class, or Gemini. We benchmark candidates on a labelled test set during Discovery.
  • Retrieval layer over your approved internal sources, with source citations on every output.
  • Tool use for reads and writes against your operational stack (CRM, ERP, ticketing, data warehouse).
  • Reviewer queue for low-confidence outputs. Confidence thresholds set per workflow.
  • Evaluation harness — labelled test set, weekly accuracy reports, regression alerts.
  • Versioned prompts and reviewer-action audit logs for traceability.

Pick your industry

2 industries with a scoped engagement page for hr employee support. Each is a dedicated build with industry-specific systems, controls, and pricing.

Frequently asked questions

How do you automate hr employee support with AI?+

We map your existing hr employee support workflow, identify high-volume and high-structure tasks, build an AI agent that handles those tasks, and route low-confidence cases to a human reviewer. The build connects to the systems your industry already runs on, runs against a labelled test set, and ships behind a reviewer queue before it sees production traffic. We measure case resolution time, HR tickets per employee, policy accuracy, and employee satisfaction from day one and improve weekly.

What is the best AI agent for hr employee support?+

There is no single off-the-shelf "best" agent for hr employee support — the right architecture depends on the systems and data of your industry. We typically combine a frontier LLM (Claude, GPT-4-class, or Gemini) with a retrieval layer over your approved sources, tool-use for your stack, and a reviewer queue. We benchmark candidates against a labelled test set during Discovery and pick the model with the best accuracy/cost ratio.

What does AI hr employee support cost?+

Three phases, billed separately. Discovery sprint: $6k. Build engagement: $20k–$28k. Run retainer: $2.5k–$4k / mo. ~$32k–$58k typical year 1 (60% take the run option for ~6 months). Pricing varies slightly by industry — see the industry-specific pages below.

How long does it take to deploy AI hr employee support?+

Thin-slice in production in ~6 weeks after Discovery, full Build phase over 6-10 weeks. By day 90, case resolution time, HR tickets per employee, policy accuracy, and employee satisfaction is instrumented and you have a baseline against which to expand to adjacent workflows.

Which industries do you build AI hr employee support for?+

2 industries listed below have a scoped engagement page for hr employee support, each with industry-specific systems, controls, and KPIs. Common starting industries include SaaS, Consulting, and others. Don't see yours? We build for any sector — tell us about your workflow and we'll scope it.

What do we own, and what do you own?+

We own workflow design, prompts, retrieval architecture, evaluation harness, and weekly improvement. You own data access, policy, exception approval, and final commercial decisions. At the end of the engagement, every prompt, eval, and config is handed over — no lock-in.

Selected portfolio

Real builds tied to hr employee support

A rotating selection of engagements where hr employee support was a primary driver, drawn from our active portfolio. Sectors and scope are accurate; client identities are withheld under engagement NDAs.

Q2 2026

Digital brand refresh + integrated recruitment platform for an IT consulting firm

Enterprise IT consulting boutique · Europe

Repositioning + redesign for a pure-staffing IT consulting house serving CIO buyers. Editorial architecture tightened around three expertise pillars (IT & SAP, cloud, cybersecurity), premium art direction, conversion-oriented UX, marketing-team-owned Sanity CMS, and an integrated recruitment funnel for senior consultant sourcing.

  • Next.js + Framer Motion
  • Sanity CMS (marketing-owned)
  • Recruitment funnel

Q2 2026

Internal staff portal — multi-association operations in role-based dashboards

Mid-market property operator · GCC region

Role-scoped portal for property managers, accountants, and maintenance staff. Reuses the OA data model from the management SaaS (zero duplication), adds multi-association switching, maintenance ticket lifecycle, financial reporting, and document storage tied to each association workspace.

  • Next.js + tRPC
  • NextAuth role-based access
  • Drizzle ORM shared schema

Q1 → Q2 2026

National legal marketplace — directory, bookings, legal tools, emergency contacts

Government-licensed legal services platform · GCC region

Ministry-licensed bilingual EN/AR platform: directory of certified lawyers, firms, mediators and arbitrators; multi-channel appointment booking (video, phone, in-office); free legal tools (court fees, deadlines, legal interest); police directory with map + hotlines; provider verification workspace; PDF document generation with QR-coded provenance.

  • Next.js 16 monorepo (Turborepo)
  • Bilingual EN/AR (next-intl)
  • Postmark + Web Push

Client identities withheld under engagement NDAs. Sector, geography, and scope are accurate. Full case studies on request.

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Tell us about your workflow, the systems involved, and the KPI you want to move. We'll send a scoped statement of work within 5 business days.

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