Talk to an AI architectBook a free AI assessment
AgentsWorkflowsService DeskAnalytics
AI Agent DevelopmentAI Development CompanyAI Automation AgencyConversational AIGenerative AI ConsultingAnswer Engine OptimizationAI SEO AgencyAI Agents for MarketingAI Energy ManagementOT Security
AI agents for businessHow to become AI-nativeBuild vs buy AI agentsAI agents vs chatbotsAI agent development costAI agent glossaryTop AI agent companiesFounders Grit podcastBlog
IntegrationsBlogBook a free AI assessment
AI agent development company

AI agent development for production agents.

Gaper builds supervised AI agents from your real workflows, from discovery to human-gated go-live, under one accountable team.

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

An AI agent development company designs, builds, integrates, and runs production AI agents, software that plans and takes multi-step actions toward a goal, inside your existing systems, deployed in your stack and owned by your team.

ProductionBuilt to ship, not demo
Model-agnostic
Sandbox firstVerified before launch
You own itCode, evals, runbook
Why this matters

A proof-of-concept is easy. Production, with real data, edge cases and users, is what matters.

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

One workflow, a build-vs-buy call and the smallest production release, scoped in a free assessment.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    Your SOPs, portals, inboxes and spreadsheets, turned into an agent workflow map.

  2. 02

    Build the supervised agent

    OpenAI, Claude, Gemini or the right model, with evals and human gates.

  3. 03

    Connect the stack

    APIs, MCP tools, auth and write-backs to finish work inside your systems.

  4. 04

    Sandbox, verify, go live

    Sandbox first, every run verified, then supervised production with an owner.

What we build

Agents wired into the systems you already run.

Documented workflow agents

Agents built from your SOPs, spreadsheets, portals and inboxes.

Retrieval & knowledge

Cited answers over your data, RAG built for production.

Tool & API actions

Update the CRM, file the ticket, reconcile the ledger.

Multi-agent orchestration

Specialist agents under a supervisor, decomposing complex jobs.

Evals & human gates

Evals, guardrails and approvals on every risky action.

Observability

Traces, cost and quality dashboards for every agent action.

Security & compliance

SSO, RBAC, PII redaction, audit trails, in-cloud when required.

Governance & handover

Access control and docs, so your team owns it.

Built into production, not bolted on

We deploy where your data lives, inheriting your security posture instead of widening your attack surface.

  • Runs in your environment or ours
  • SSO, RBAC, and audit logging
  • No data retention you didn’t ask for
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
Inside your boundary
SSORBACAudit logCloud

You own the outcome, and the code

A forward-deployed team hands over a system you fully control. No black box, no lock-in.

  • Clean, documented codebase
  • Knowledge transfer built into delivery
  • Extend it without us
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

From pilot to production, the part most teams miss

Agent pilots are everywhere, production agents are rare. We design for that gap from day one.

  • 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
OpenAIOpenAIClaudeClaudeGeminiGeminiMCPLangGraphYour APIsPostgresPostgresSnowflakeSnowflakeSalesforceSalesforceZendeskZendesk
FAQ

Questions buyers ask us.

What does an AI agent development company actually do?+
It designs, builds, integrates, and deploys AI agents, software that uses an LLM to plan and take multi-step actions toward a goal, into your real workflows. Gaper covers the full path from strategy to a production system your team owns.
How is this different from buying an AI platform?+
Platforms give you tooling to build it yourself. We build and deploy the agent for you, wired into your specific systems, and hand over something you own. When an off-the-shelf product fits, we’ll tell you, most real workflows need custom integration.
How do you scope an AI agent engagement?+
We start with a free assessment of one high-leverage workflow and make an honest build-vs-buy call. From there we scope the smallest production release: discovery, workflow map, the data and connector layer, evals, sandbox, and a human-gated go-live. Scope and timeline depend on integration and governance, which we agree up front.
How long does it take to build an AI agent?+
A first working build can land in as little as 24 hours for a scoped use case. Production timelines depend on integration and governance needs, which we scope up front, typically weeks, not quarters.
Which models and stacks do you work with?+
We’re model- and infrastructure-agnostic: OpenAI, Claude, Gemini, and open models, deployed in your cloud, integrated via your APIs and MCP.
Can you deploy inside our cloud for compliance?+
Yes. For regulated workloads we deploy in your cloud with your security controls, SSO, RBAC, PII redaction, and full audit logging, so data never leaves your boundary.
What happens after launch, who maintains it?+
You own the code and documentation. We can hand it fully to your team, or run it under an SLA with observability, evals, and ongoing improvement, your call.
See what operators from other companies think about AI Agents:
Learn more
Keep exploring
Ai Agents For BusinessAi Development CompanyAi Automation Agency
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