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ai agent development

AI agent development, delivered as a system you own.

Gaper builds and deploys reliable, tool-using AI agents into your existing systems, on the model that fits the job. You get the agent, the evals, and the runbook, owned by your team and running in your own cloud.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · agent runtime
$ gaper deploy agent --to production
✓ plan ……………… 4 steps
✓ retrieve …… 1,240 docs grounded
✓ tool ………… salesforce.update_record
✓ eval ………… 12/12 checks passed
● live · p95 1.2s · 0 errors
● in productionowned by your team
In one sentence

AI agent development is the work of designing, building, integrating, and deploying production AI agents: software that plans and takes multi-step actions toward a goal inside your systems. Gaper delivers that work as a supervised agent your team owns, running on your data and auth.

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

Most teams need a working agent in production, not another promising demo. The hard part is building an agent that survives real data, real edge cases, and real users, then proving it actually moved the metric.

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.

Tool-using agents

Agents that take real action through your APIs and MCP: update the CRM, file the ticket, reconcile the ledger, not single-turn chat.

Grounded retrieval

Answers cited from your own documents and data, with freshness checks and guardrails, so the agent holds up in production instead of hallucinating.

Multi-agent orchestration

Specialist agents that hand off under a supervisor pattern, so complex jobs get decomposed, routed, and finished.

Evals and human gates

Automated evals before users see it, plus approvals on signatures, submissions, and other steps that carry real risk.

Observability

Traces, cost, and quality dashboards so you can see exactly what every agent did and why.

Handover and ownership

Clean code, evals, and a runbook delivered to your team, with the access and docs to extend it on your own.

Built into your stack, not bolted on the side

We deploy where your data already lives: your cloud, your auth, your controls. The agent inherits your security posture instead of widening your attack surface, and it runs against the systems your team uses every day.

  • Runs in your environment or ours
  • SSO, RBAC, and full audit logging
  • No data retention you did not ask for
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own the agent, the code, and the runbook

A forward-deployed team builds alongside yours and hands over a system you fully control: source, evals, and the runbook to operate it. No black box, no lock-in, no workflow trapped outside your stack.

  • Documented, version-controlled codebase
  • Evals and runbook handed over with it
  • Extend and run it on your own
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

Reliable in production, gated before launch

Pilots are everywhere; production agents are rare. We design for that gap from day one: evals that gate every release, guardrails on risky steps, fallback and escalation paths, and a named owner at go-live.

  • Evals that gate every release
  • Fallback and escalation paths
  • A runbook, not a hope
Release gate
  1. 01Eval suiteknown + edge casespass
  2. 02Policy checkguardrails enforcedpass
  3. 03Human fallbacklow-confidence routedhold
  4. 04Releaseshipped to prodlive

p95 latency 1.2s

eval pass 12/12

rollback ready

Model and stack agnostic
OpenAIClaudeGeminiLangChainMCPPythonTypeScriptPinecone
FAQ

Questions buyers ask us.

What do I get at the end of an engagement?+
A production AI agent deployed in your stack, plus the source code, the evals that gate its releases, and a runbook to operate it. Your team owns all of it. We can hand it over fully or run it under an SLA, your call.
How does Gaper deploy the agent into our systems?+
We deploy in your own cloud, on your data and auth. The agent connects through your APIs and MCP tools, inherits your SSO and RBAC, and writes back into the systems your team already uses. It runs inside your security perimeter, not beside it.
Which models do you build on?+
We are model-agnostic: OpenAI, Claude, Gemini, or whatever fits the job. We pick per use case based on accuracy, latency, and cost, and the architecture lets you swap models later without a rebuild.
How fast can an agent go live?+
A first working build can land in as little as 24 hours for a scoped use case. Production timelines depend on integration depth and governance, which we scope up front so you know the path to go-live before we start.
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