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enterprise ai development

Enterprise AI development, governed and deployed in your cloud.

Gaper builds and deploys supervised production AI agents inside your enterprise: your cloud, your data, your auth, with SSO, RBAC, and full audit trails. We hand over the code, evals, and runbook, and your team owns it.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
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In one sentence

Enterprise AI development is the practice of building, governing, and deploying production AI agents inside a large organization's own cloud, data, and identity systems. It adds SSO, role-based access control, audit logging, and human approval gates so the agent meets security, compliance, and oversight requirements at scale.

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

Most enterprise AI stalls in security review. The model works, but it can't pass the controls your auditors, your CISO, and your regulators require, so the agent never reaches production.

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.

Deploy in your cloud

Agents run inside your AWS, GCP, or Azure tenant on your data and auth, so nothing crosses your security boundary.

SSO and RBAC

Identity through your existing provider, with role-based access control scoping what each user and the agent can see and do.

Audit and traceability

Every run logged end to end: inputs, tool calls, approvals, and outputs, exportable for security and compliance review.

Human approval gates

Risky actions like submissions, payments, and policy changes pause for a named human to approve before they execute.

Evals and guardrails

Automated evals gate every release, with policy guardrails and PII redaction enforced before users ever touch it.

Model-agnostic builds

OpenAI, Claude, Gemini, or open models, chosen per task and deployed under your governance, never locked to one vendor.

Built inside your security boundary

We deploy where your data already lives, on your cloud, your identity provider, and your network controls. The agent inherits your posture instead of widening your attack surface, so it clears security review instead of stalling in it.

  • Runs in your AWS, GCP, or Azure tenant
  • SSO, RBAC, and network isolation
  • No data retention you didn't approve
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

Oversight your auditors can verify

Governance is not a slide, it is the system. Every consequential action is gated, logged, and reversible, so your security, risk, and compliance teams can see exactly what the agent did and why, and stop it when they need to.

  • Full audit trail on every run
  • Approval gates on risky steps
  • Kill switch and rollback built in
Control room
approval queue3 cases need human sign-off

Low confidence, policy exception, or protected data.

01Source checked02Risk scored03Human approved04Audit trail saved

You own the system, end to end

A forward-deployed team works alongside yours and hands over a system you fully control: clean code, the eval suite, and a runbook. No black box, no vendor lock-in, no agent trapped outside your stack.

  • Documented, version-controlled codebase
  • Eval suite and runbook handed over
  • Extend and run 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

Model and stack agnostic
OpenAIClaudeGeminiMCPYour APIsSnowflakeSalesforcePostgres
FAQ

Questions buyers ask us.

What is enterprise AI development?+
It is building and deploying production AI agents inside a large organization's own cloud, data, and identity systems, with SSO, RBAC, audit logging, and human approval gates. Gaper covers the full path from workflow map to a governed production system your team owns.
How do you meet our security and compliance requirements?+
We deploy inside your cloud on your auth, so data never leaves your boundary. Every run is logged for audit, access is scoped by RBAC through your SSO, PII is redacted, and risky actions pause for human approval. Your security and risk teams keep authority over every consequential action.
Do you build and deploy the agent, or do we own it afterward?+
We build and deploy it, then hand it over. You get the code, the eval suite, and the runbook, deployed in your stack. Your team can run, extend, and govern it without us, or we can run it under an SLA. Your call.
Do you staff out or supply developers to our team?+
No. We are not a staffing or staff-augmentation firm and we do not place developers. We build and deploy the enterprise AI system for you and hand over a governed system you own.
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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