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mulesoft ai agents

AI agents that act across your systems through MuleSoft.

Gaper builds and deploys supervised AI agents that call your MuleSoft APIs and flows to take real action across connected systems. The agent reasons over a request, decides the steps, and invokes your integrations to finish the work.

Book a free AI assessmentWhat is an AI agent?
Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · ship pipeline
✓Scope
✓Build
✓Eval
✓Deploy
●Live
prototype→production
In one sentence

A MuleSoft AI agent is a supervised production agent that plans multi-step work and invokes your MuleSoft APIs, flows, and connectors to act across systems. It reads a request, decides which integrations to call, executes them in order, and handles exceptions with human approval on risky steps.

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

MuleSoft already connects your systems, but the integrations still wait on a human to decide what to call and when. The gap is an agent that can read a messy request, choose the right flows, and drive them to a finished outcome in 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.

API-driven actions

Agents that call your Anypoint APIs and System/Process/Experience layer flows to update records, post transactions, and complete work across connected systems.

Flow orchestration

The agent decides which flows to invoke and in what order, turning a single request into the right sequence of integration calls.

Tooling over your APIs

Your MuleSoft endpoints exposed to the agent as typed tools via MCP, so it acts through the contracts you already published, not around them.

Exception handling

When a flow returns an error or an edge case, the agent reasons about it, retries safely, or escalates to a human instead of failing silently.

Human approval gates

Approvals on consequential actions: payments, record changes, submissions, and anything that writes to a system of record.

Traces and audit trails

Every API call the agent makes is logged with inputs, outputs, and reasoning, so you can see exactly what ran and why.

Acts through your integrations, not around them

The agent uses your existing MuleSoft contracts as its tools. It calls the APIs and flows you already govern in Anypoint, inheriting your auth, rate limits, and policies instead of opening a new path into your systems.

  • Calls your published Anypoint APIs as tools
  • Runs in your cloud on your auth
  • Respects existing policies and rate limits
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own the agent, code, and runbook

A forward-deployed team builds the agent alongside yours and hands over a system you fully control. The prompts, tool definitions, evals, and orchestration are yours to extend as your integrations change.

  • Clean, documented codebase and tool maps
  • Evals and runbook handed over
  • 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 demo to production-grade orchestration

Calling one API in a demo is easy. An agent that chooses the right flows, handles failures, and stays correct across real traffic is the hard part. We design for that with evals before users and gates on risky writes.

  • Evals gate every release
  • Safe retries and escalation paths
  • Approvals on writes to systems of record
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
OpenAIClaudeGeminiMCPYour APIsPostgresAWSGCP
FAQ

Questions buyers ask us.

How does the agent work with our MuleSoft setup?+
We expose your Anypoint APIs and flows to the agent as typed tools, usually over MCP. The agent reads a request, decides which integrations to call, and invokes them through the same contracts your team already governs, so it acts inside your platform rather than around it.
Where does the agent run, and is our data safe?+
We deploy in your cloud on your own auth, so the agent inherits your security posture, SSO, RBAC, and existing API policies. Calls go through your published endpoints with full audit logging, and we keep no data retention you did not ask for.
Who owns what you build?+
You do. We hand over the agent code, tool definitions, evals, and a runbook. Your team can extend it as your integrations evolve, with no vendor lock-in and no black box.
Which models can the agent use?+
We are model-agnostic: OpenAI, Claude, Gemini, or open models, chosen per task. The model reasons over the request; your MuleSoft flows do the acting, so you can swap models without re-plumbing integrations.
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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