Is this the same as deploying OpenAI?

No. Deploying OpenAI is the model and residency decision, including Azure OpenAI. This is the agent runtime on top of it: schemas, tools, and where the decision gets validated before anything is written.

Do we need an SDK at all?

Not for a single deterministic call. You need one when the step has tools, retries, and a shape another system must accept.

Will you lock us to OpenAI?

No. We route legal and long-context work elsewhere routinely. The gateway is what makes that a configuration instead of a rewrite.

OpenAI Agents SDK

Structured output is a contract, not a hope.

The OpenAI Agents SDK is strongest where the step has to produce a shape another system will accept: a routing decision, an extracted record, a tool call with typed arguments.

Get the written assessment Runtime plane

Founded 2022 · Founder in the Salesforce MVP Hall of Fame · Dubai HQ · Kochi studio

What we put in

Typed arguments, then a boring handler.

01
Define the shape
A JSON schema for the decision. If the output shape cannot be written down, the step is not ready for an agent.
02
Let the model fill it
Function calling and structured outputs, so parsing prose out of a paragraph stops being part of the system.
03
Validate, then act
Rejected output is an exception with an owner, not a best-effort write.
04
Keep handlers dull
The handler is ordinary code: testable, idempotent, and reviewable. That is the point.

Structured routing with the Agents SDK. The model produces a typed decision against a JSON schema, a deterministic handler executes it, and anything the schema rejects goes to a person instead of into a record.

Mermaid source

flowchart TD
  A["Request: message, document, or event"] --> B["Agent with a JSON schema"]
  B --> C["Typed decision and arguments"]
  C --> D["Schema validation"]
  D -->|"rejected"| E["Exception queue: a person decides"]
  D -->|"accepted"| F["Deterministic handler or tool call"]
  F --> G["Write through the durable plane"]

When it earns the seat

Routing, extraction, and high-volume classification.

Use cases

Where a typed step pays off.

Typical first jobs.

Example
Service lead at a Kochi telecom reseller
Today: Tickets in several languages land in one queue.
After: Each ticket gets a typed label and goes to the right team. Labels the schema rejects go to a supervisor.
Example
Accounts payable lead at a Dubai trading company
Today: Invoice fields are retyped from PDFs.
After: Fields arrive as a typed record. A mismatch with the purchase order is an exception with an owner.
See how it works

Examples of the work, not case studies. Roles and cities are typical of the desks we see.

Governed

The same controls as every other runtime.

Shape

Free text, or a contract.

Free text from the model

A typed contract

Parsed with hope: Validated before it moves
A bad field fails downstream, later: A bad field is caught at the step
Nobody owns the failure: The exception has a named owner

Questions

What we actually say.

Is this the same as deploying OpenAI?: No. Deploying OpenAI is the model and residency decision, including Azure OpenAI. This is the agent runtime on top of it: schemas, tools, and where the decision gets validated before anything is written.
Do we need an SDK at all?: Not for a single deterministic call. You need one when the step has tools, retries, and a shape another system must accept.
Will you lock us to OpenAI?: No. We route legal and long-context work elsewhere routinely. The gateway is what makes that a configuration instead of a rewrite.

The brief · one email

Send the shape the next system will accept.

We will tell you whether a typed agent step is the cheapest way to produce it. The assessment is free: a short read of the org and a written note. If you go ahead, the first build week is a fixed AED/SAR 14,900 (about USD 4,050), credited in full when you sign the build within 60 days. The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.