We’re glad to share that Singapore-incorporated SageDynamics Pte. Ltd. has been named an OpenAI Select Partner within the OpenAI Partner Network. Select is a tier within the network, which supports companies that build, sell, and deliver AI solutions with OpenAI.

The network gives our team access to training, learning resources, and support. We’ll use them as we train our own team and build systems with clients.

We start with the workflow and the people who do it. We check the source material and the right to use it, who approves the result, and the business outcome. A convincing model answer is one part of that work.

Many organizations in the Philippines already have knowledge that could make an AI workflow useful. The hard part is that it is scattered across PDFs, spreadsheets, inboxes, and the people who remember what happens next. Adding an AI interface does not fix that on its own. We first need to understand how the work gets done and who is responsible when something goes wrong.

Start with how people actually work

For daily use, the workflow must fit the team’s documents and language, the way decisions are approved, and the tools already in place. The team also needs to understand what the rules allow it to do with the data, and the cost must make sense for the organization running it.

At SageDynamics, we combine OpenAI models and products with knowledge from the Philippine teams doing the work. With the people who will use the system, we agree on rules for data access and use. We decide what the system handles, where human approval is needed, and which decisions remain with people. We also agree on how to measure speed, review the work, and improve it over time.

Where AI workflows can help

We focus on document-heavy operations and assistants whose important outputs need human review. We also build services and data products for specific workflows. A useful starting point has reliable source material the team is allowed to use, someone responsible for checking the result, and a team that needs it.

Before a workflow goes live

Before a pilot becomes part of daily work, we sit down with the team and answer a few practical questions:

  • Which source material can the system use, and who has the right to use it?
  • Who can see it, where should it be stored, and how long should it be kept?
  • What needs to be recorded, including changes and approvals?
  • Which outputs need a person to check before they are used?
  • How do we pause the workflow, correct it, and improve it when it is wrong?

These are design requirements for each deployment. The answers will be different for every team and workflow, and they also depend on the organization’s legal and regulatory responsibilities.

What we plan to build next

We’ll apply what we learn to our own work and to systems we build with clients. We also plan to develop tools for specific industries and expand our work with customers across the Philippines and Southeast Asia. Each project will draw on local knowledge and require both teams to agree on their responsibilities.

We would like to work with organizations that know their operations well and have something difficult to replace: useful data, hard-won expertise, customer trust, or a team close enough to know where the work breaks down.

We can start with one workflow, its source material, the people who approve the result, and the business outcome that would make the work worthwhile.

Learn more about the OpenAI Partner Network or contact SageDynamics.