OpenAI · Digital Reset
An AI agent operates inside your real process, with clear rules.
A chatbot bolted onto a website solves little on its own. We connect OpenAI's models to the systems that already run your process, with explicit rules, correct data, and an auditable trail of every decision.
Contact us
RESET was named an OpenAI Select Partner within the OpenAI Partner Network. Read the announcement →
The challenge
Applied AI starts from a concrete process, not a demo.
A support request, an accounting reconciliation, a contract review: that's where a useful agent starts. An agent anchored in a real process follows the same explicit rules an expert person follows, with precision about what to do when the input doesn't fit.
Fixing the operation comes first; applied AI follows, on top of a base that already works. Automating a broken process with AI multiplies the error instead of solving it.
- Processes without explicit rules
- Data scattered across systems
- Automation without governance
- Adoption without team training
What's included
A supervised pilot before operating autonomously.
Every implementation goes through a supervised pilot first.
- Diagnosis
- Technical path
- Integration design
- Governance
- Team training
The diagnosis defines what to solve, the success metric, and the current cost of the operational problem. Evaluating the technical path compares ChatGPT Enterprise's native capabilities, OpenAI models via API, hybrid solutions, or custom development, depending on the case. The design integrates the model into the real operational flow, not as a standalone assistant, with connections to the right data sources and explicit handling of low-confidence output.
Every agent is designed around four controls: scope defined before it's built, data access with explicit permissions, a person in the loop for exceptions, and an auditable trail of every decision for review. Training the client's team closes the loop, so the capability stays inside the organization.
Program catalog
What we can build with you.
Thirteen project types across four categories: from activating ChatGPT Enterprise in your organization to building a customer-facing AI product on the OpenAI API. The starting point depends on where your operation is today.
Adoption & activation
Get OpenAI running
ChatGPT Enterprise rollout and activation (SSO and licensing), sustained adoption and a Center of Excellence, team training, and scaled user support.
Build
Build the capability
Industry solution accelerator, internal agentic platform on the OpenAI API, a customer-facing AI product, and prototypes or proofs of concept against a defined use case.
Strategy & governance
Order before scaling
AI strategy and roadmap, readiness and governance assessment, and a use-case portfolio with the business case behind each one.
Ongoing operations
Keep it in production
Managed AI operations with an SLA, and continuous cost optimization: model selection, caching, and capacity tuning.
Governance
Four controls per agent.
AI governance is not optional. Every agent is designed around these four controls.
01 · Scope
What it can and can't do
What the agent can and cannot do, defined before it is built.
02 · Data access
Explicit permissions
Which systems it reads and with what permissions, no more and no less.
03 · Human in the loop
Exceptions with judgment
A person reviews exceptions and low-confidence cases before the agent acts.
04 · Audit trail
Every decision, logged
A record of every agent action, available for review.
FAQ
Frequently asked questions.
Is RESET an official OpenAI partner?
Yes. RESET is an OpenAI Select Partner within the OpenAI Partner Network, with access to resources, enablement, and direct support from OpenAI. Read the announcement →
What kinds of applied AI projects do you build with OpenAI?
Thirteen project types across four categories: adoption and activation, build, strategy and governance, and ongoing operations. From activating ChatGPT Enterprise inside your organization to building an AI product for your own customers.
How long does implementing an agent on OpenAI take?
Every implementation goes through a supervised pilot before operating autonomously. The timeline depends on the use case and is estimated during the diagnosis phase.
Why OpenAI and not another model?
We evaluate native capabilities, API-based models, hybrid solutions, or custom development depending on the use case. OpenAI is one of the models we work with for governed AI agents inside real processes.
Close
Will your next AI initiative actually operate?
Tell us what you need to integrate, automate, or improve. We will review the current environment and define an implementation path.
Contact usOther alliances