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example agent: james

James: an AI agent for HR operations.

James is an example of the HR operations agents Gaper builds: it answers policy questions, runs onboarding steps, and triages HR tickets, with sensitive cases routed to your team. We build custom versions deployed in your stack.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · workflow
TriggerNew support ticket
↓
AgentClassify · look up order · decide
↓
ActionRefund issued · case closed
−42%handle timeauto-resolved
In one sentence

James is an AI agent for HR operations that answers policy questions, runs routine onboarding steps, and triages HR tickets inside your systems, with sensitive or personnel-specific cases routed to a person. Gaper builds custom versions deployed in your stack and owned by your team.

ProductionNot another demo
Model-agnostic
In your cloudYour auth, your data
You own itCode, evals, runbook
Why this matters

HR teams field the same policy questions and onboarding tasks over and over, which crowds out the work that needs a human.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, SOPs, portals, inboxes, and spreadsheets your team already uses, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on OpenAI, Claude, Gemini, or the right model for the job, with evals, guardrails, citations, and human approval gates where risk matters.

  3. 03

    Connect the stack

    The agent gets the data layer, APIs, MCP tools, auth, and write-backs it needs to finish work inside your systems, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

Policy answers

Answers routine HR and policy questions grounded in your approved handbook, with citations.

Onboarding steps

Runs repeatable onboarding checklists and provisioning across your tools.

Ticket triage

Categorizes and routes HR tickets, resolving the routine and escalating the rest.

Sensitive handoff

Routes personnel-specific or sensitive cases to a person, with context.

Routine HR work, handled

James takes the repetitive question-answering and onboarding load so your HR team spends time on the people work that matters. Sensitive cases always go to a person.

  • Repeatable questions, answered
  • Onboarding steps, run
  • Sensitive cases, escalated
Enablement plan
Support triageInvoice exceptionsLead enrichmentKnowledge agent

Custom to your stack, owned by you

James is illustrative. We build a custom HR agent wired into your HRIS and tools, deployed in your environment, with the code and runbook handed to your team.

  • Wired into your HRIS
  • Runs in your environment
  • You own the code and runbook
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

Model and stack agnostic
OpenAIClaudeGeminiMCPYour HRISSlackPostgres
FAQ

Questions buyers ask us.

Is James a product or a custom build?+
It is an example of what we build. Gaper builds a custom HR operations agent wired into your HRIS and tools, deployed in your stack and owned by your team.
Does it handle sensitive personnel matters?+
No. James handles routine questions, onboarding, and triage. Sensitive or personnel-specific cases are routed to a person with full context.
Is employee data kept private?+
Yes. The agent runs in your environment on your auth with RBAC and audit logging, so employee data stays inside your boundary.
See what operators from other companies think about AI Agents:
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Production AI agents, shipped with an owner

Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code