ETT and OpenAI
Technology we implement
ETT builds on OpenAI models where they are the right fit for a client's use case, grounding them in governed enterprise data and wrapping them in the orchestration, oversight and security controls production deployments demand.
OpenAI is a technology ETT designs with, deploys and supports. No formal partnership is claimed, and OpenAI is not an ETT customer.
About OpenAI
OpenAI is the AI research and product company behind the GPT family of models, ChatGPT and the API platform used by enterprises worldwide to build language, reasoning and multimodal capability into their products and operations.
Its frontier models underpin a large share of today's enterprise AI applications, from copilots and knowledge assistants to fully agentic workflows, with enterprise controls covering data privacy, retention and access management.
How OpenAI fits into how we work
Most enterprise AI ambitions start with a frontier model, and OpenAI's are among the most capable available. But a model on its own is not a solution. The gap between an impressive demo and a system a business can depend on is where ETT does its work, and OpenAI sits at the centre of that story as the reasoning engine we build around.
We treat OpenAI's models as one component in a larger architecture. ETT's role is to decide where they genuinely add value, connect them safely to a client's own data and systems, and put the guardrails in place that turn raw capability into something that can run in production without surprising anyone. That blend of frontier capability and disciplined delivery is exactly what we mean by being an acceleration partner rather than just another reseller of AI tools.
Our work around OpenAI
We decide where a frontier model genuinely earns its place, ground it in your own data through retrieval and integration, and put the cost, evaluation and human-review controls around it that a production deployment needs.
Match the model to the problem
We start from the business outcome, not the technology. That means being honest about where an OpenAI model is the right tool and where a simpler, cheaper or more deterministic approach would serve the client better, so spend goes where it earns a return.
Ground it in your own data
A model is only as useful as the context it can draw on. We connect OpenAI's reasoning to governed enterprise data through retrieval and integration, so answers are grounded in your reality rather than the open internet.
Wrap it in oversight
Production AI needs controls around privacy, cost, evaluation and human review. We build those in from the start, so a deployment stays safe, measurable and accountable as it scales.
Which process would you improve first?
Tell us where your teams are losing time, where service is under pressure or where an AI initiative has stalled. We’ll help you explore the opportunity and define a practical next step.