Governed AI Integration

Apelogic connects Claude, Codex, and custom agents to your business systems

Getting agents into production takes more than software. We handle the brownfield complexity and compliance demands that stand between AI and real outcomes.

Works with the stack you already have

SalesforceNetSuiteSlack ConfluenceJiraGoogle Drive GitHubSnowflakePostgres ClickHouseTrinoMySQLSQL Server Internal APIs SalesforceNetSuiteSlack ConfluenceJiraGoogle Drive GitHubSnowflakePostgres ClickHouseTrinoMySQLSQL Server Internal APIs

The Problem

IT keeps saying no.
Not because they want to.

Your team wants AI on your business systems. IT is stuck holding the risk.

What your team wants

✓Claude connected to Salesforce for pipeline queries
✓ChatGPT pulling answers from Confluence
✓Agents writing back to NetSuite and Jira automatically
✓One assistant that knows all your business systems

What IT is actually dealing with

✕No AI usage policy signed by employees
✕Least-privilege access undefined for agents
✕No audit trail for what data the agent accessed
✕SOC 2 posture changes when an agent touches customer data
✕Legal hasn't reviewed LLM data handling

How It Works

Scoped. Fixed-price.
Paid on delivery.

We scope the connector, build it into your existing stack, and bill against production milestones. Not vague consulting hours.

01 / SCOPE

Tell us the agent, the system, and the workflow. Fixed-scope estimate, no discovery retainer.

02 / BUILD

Access controls, compliance docs, audit logging, governance policy, and the integration itself.

03 / DELIVER

Milestones tied to production delivery. Not consulting hours. The agent works or we haven't billed you.

Connecting Claude to a data warehouse at Helium Mobile

A production connector that turned dashboard-ticket backlog into governed, natural-language analytics self-service.

Helium Mobile interview on TFiR — The Agentic Enterprise

Helium Mobile's lean data team was a bottleneck — every business question turned into a dashboard ticket. Apelogic connected Claude directly to their Trino data warehouse and built a semantic context layer, so employees get answers in plain English while the data team stays in control of business definitions.

"Apelogic gave our agents safe, governed access to the data warehouse. Employees stopped waiting days for answers."

Mario DiDio, GM of Network, Helium Mobile
Watch the interview ↗
~60%

drop in dashboard data-ops workload

< 2 months

from kickoff to handoff to the Helium Mobile team

Self-improving

semantic context layer, governed by the data team

Before

Dashboard-request bottleneck

  • Days-long backlog of dashboard requests
  • Data ops translates every business question into SQL
  • Superset charts built one ticket at a time
After

AI-powered data self-service

  • Employees ask Claude questions in plain English
  • Claude generates SQL on Trino with approved business context
  • Useful queries become repeatable Superset charts
  • Data team owns the semantic context layer

Ready to get your
agent connected?

Tell us the agent, the system, and the workflow. We'll scope it and get back to you in 24 hours.