OpenAI integration

Put OpenAIto work.

Production agents, secure MCP connectors and AI applications for UK and US organisations. Built around real workflows, governed actions and measurable outcomes. You own the code.

Discuss your use caseOpenAI Select Partner
Web app / Client platform with MCP
The LogicLeap Portal, the client platform LogicLeap built and runs
LogicLeap PortalView project
The problem

Most AI pilots
never ship.

Most stall between a promising demo and a system people rely on: data access, permissions, failure handling and proof that it works. The model is not the product, so we build the production system around it.

Capabilities

The model is
not the product.

Value appears when AI connects safely to your data, tools, decisions and teams. We build the whole system around that connection.

01Tool calling · Approval gates · Audit logs

Agents that take controlled action

Real actions, every one of them logged.
02OAuth and PKCE · Scoped tools · Audit trails

MCP and business-system integration

ChatGPT, connected to your own systems.
03Web and mobile · Memory · Cost controls

Production AI applications

A complete product, not a demo.
04Eval sets · Guardrails · Telemetry

Evaluation and governance

Success defined before launch.
Evidence

Already running
in production.

The foundations serious OpenAI work needs already run in our own products. LogicLeap is an OpenAI Select Partner.

See the portal case study
01

A live, OAuth-secured MCP connector

The LogicLeap Portal gives AI assistants a set of controlled tools through MCP, with OAuth sign-in, scoped permissions and an audit record of every call.

02

Consumer AI at product scale

One shared architecture behind a family of published language apps, with signed-in access, memory boundaries, usage metering and account deletion.

03

Controls matched to context

Consent, grounding, crisis routing, usage limits, row-level isolation and monitoring, applied where each production product needs them.

Process

From use case
to evidence.

The same four stages as every LogicLeap project. Each one produces something you can review before the next begins.

01

Define the job.

A shared brief and a clear goal.

Pick one task worth automating and the data it needs.

02

Agree the boundaries.

A proposal, agreed cost and milestones.

Agree guardrails, human review points and how quality is measured.

03

See it take shape.

Working previews and review points.

Evals and guardrails built in from the first prototype.

04

Make the handover.

A tested release, access and documentation.

Staff trained, monitoring on and a clear owner for every change.

Questions

Straight
answers.

Are you already an OpenAI Partner?

Yes. LogicLeap is an OpenAI Select Partner: we hold OpenAI’s Select tier in the OpenAI Partner Network.

Do you only work with OpenAI?

No. We choose a provider against the task, data, quality, latency, cost and operational requirements, and LogicLeap is also a Claude Partner. We use OpenAI where it is the right production choice, not simply because it is available.

What makes this different from installing a chatbot?

A production system must authenticate users, connect to controlled tools and data, handle failure, record usage, protect sensitive actions and produce evidence of quality and value. The model is one part of that system.

Can you connect ChatGPT to our internal systems?

Yes, where the client and account support the required connector route. We build OAuth-secured MCP services with explicit tools, redirect validation, audit logging and operational controls, then validate the real authorisation and tool-use flow.

How quickly can we start?

A focused discovery and architecture engagement can begin within days. A scoped first production workflow is typically designed, built and validated in four to eight weeks, depending on system access, data sensitivity and approval requirements.

Put OpenAI to work on a real task

Let’s make
it happen.

Tell us about the workflow, the data and the people involved. We will come back with a scoped first prototype.

Start a conversation