CG TECH

OpenAI · Technologies

OpenAI Frontier

Where an agent stops being a demo and starts touching real systems.

Frontier is OpenAI’s enterprise platform for running agents in production. It connects the systems your business actually records work in, the data warehouse, the CRM, the ticketing tool and internal applications, so an agent works from shared business context instead of whatever someone pasted into a prompt.

AGENT DEPLOYMENTS · EXAMPLE ORGANISATION

AGENT

SYSTEM OF RECORD

RUNS/DAY

STATUS

Quote-Builder

CRM

84

LIVE

Ticket-Triage

Service desk

310

LIVE

Invoice-Match

Finance system

142

LIVE

Contract-Review

Document store

26

NEEDS APPROVAL

Payroll-Query

HR system

0

BLOCKED

Sample organisation

live · needs approval · blocked

In plain terms

A clever prototype is not a deployed agent.

The gap between the two is access, context and accountability.

Without it

  • Agents work from pasted context and go stale
  • Each one is wired to systems by hand
  • No shared view of what is running where
  • Nobody can answer what an agent did last Tuesday

With it

  • Agents read from the systems of record directly
  • Connections are managed in one place
  • A single view of every agent in production
  • A trail showing what ran, when and against what

What CG TECH can do with OpenAI Frontier

Getting agents into production without losing control of them.

How an engagement runs

From one automated workflow to a set you can govern.

01

Pick a workflow

We choose one process with a clear owner and a measurable cost today.

02

Connect the systems

We wire it to the records it needs, and nothing else.

03

Prove it in parallel

It runs alongside the current process until the output holds up.

04

Hand over and monitor

Your team gets ownership, the runbook and the monitoring.

Questions we hear a lot

Common questions about OpenAI Frontier

What is OpenAI Frontier?

Frontier is OpenAI’s enterprise platform for deploying production AI agents. Its point of difference is integration with systems of record, so agents work from shared business context rather than from context a person supplies each time.

How is it different from building on the API directly?

You can build agents on the API, and for contained jobs you should. Frontier addresses what comes after: connecting core systems, managing those connections centrally, and having one place to see what is running.

Do we need this, or is Copilot Studio enough?

It depends where the work sits. If the systems are Microsoft, Copilot Studio is usually the shorter path. If the agent has to reach a data warehouse, a non-Microsoft CRM and a ticketing tool, Frontier is built for that shape.

Can an agent change records in our systems?

It can, and that is exactly the decision to make deliberately. We separate read-only work from anything that writes, and put an approval step on the writes until there is a track record.

What about data leaving our environment?

That is a question for your security team and it should be answered before a build starts, not after. We scope which systems are in play and what actually gets sent, so the review has something concrete to assess.

How long before it does anything useful?

One well-chosen workflow is usually a matter of weeks. The delay is rarely the agent. It is getting agreement on what it may touch and who signs off the actions it takes.

What happens when our systems change?

Agents break quietly when the systems underneath move. We set an owner, monitoring and a review point for each one, because an agent nobody owns is a problem waiting to surface.

Do you work with OpenAI only?

No. We build on Microsoft, Anthropic, OpenAI and open-source tools, and we pick based on where your data sits and what you are trying to do. We will tell you when a simpler option would do the job.

Ready when you are

Got an agent that works in testing but nowhere near production?

That is the normal place to get stuck. A discovery session works out what it needs to touch, what has to be approved, and what standing this up properly would take.

What to expect

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