When it is a good fit
Start with a bounded function with recognisable input and assessable output, such as classifying requests into agreed categories.
BLACKOPS SOFTWARE / INTEGRATIONS & DATA OPERATIONS
OpenAI integration.
Integrate OpenAI into your application with controlled inputs, outputs and costs.
Discuss your projectUNDERSTAND THE SERVICE
What does an OpenAI integration involve?
An OpenAI integration connects an AI model to a specific software function, such as classifying text, extracting data or drafting an answer. BLACKOPS Software defines inputs, outputs and error handling, then tests representative examples. The integration fits the product task and the consequences of incorrect results.
When to take a different approach
Do not use generated output without validation for critical system changes. A technically valid response can still be factually wrong.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Standalone AI tool | Employees perform occasional tasks manually. | Separate from the existing product workflow. |
| API integration | AI belongs in your application or process. | Requires development, access management and operating checks. |
| Multiple model providers | Comparison or fallback options address a concrete need. | Adds testing and behavioural differences. |
What we need to start
- Example input with verifiable expected output.
- Agreement on permitted data processing.
- Usage boundaries and a fallback for model or connection errors.
How to assess the result
- Validate output format and substantive correctness.
- Failures or limits do not silently lose work.
- Track cost and response time per relevant task.
SCOPE & INVESTMENT
What determines the cost?
A useful estimate starts with the scope. We distinguish development work from recurring usage and operating costs. These are the main drivers:
- Function complexity and connected applications.
- Input/output size, model choice and volume.
- Testing, monitoring and model-change maintenance.
01 / PROBLEM & POSSIBILITIES
Your challenge.
A practical application.
An application needs to classify text, extract information or assist users.
Integrate OpenAI into your application with controlled inputs, outputs and costs. We agree what the solution should do, which information it needs and how the result will be assessed.
THE QUESTION WE ASK FIRST
What quality and response time does the intended feature require?
02 / FROM QUESTION TO SOLUTION
An approach with
clear steps.
You stay informed about decisions, progress and delivery. We adapt the scope to your organisation.
Map sources and data flows
What quality and response time does the intended feature require?
Connect and test exceptions
We use representative examples and discuss the results, making assumptions and limitations visible before proceeding.
Monitor and document
We document the agreed outcomes, responsibilities and next steps.
03 / A PRACTICAL FOUNDATION
Designed for your
systems and requirements.
Technology that fits
CRM, ERP, accounting systems, databases and analytics platforms. Available APIs, limits and licences determine what is possible.
Security and control
Integrations receive limited permissions and protected access. We implement validation, error reporting and repeatable processing.
A possible application
An application needs to classify text, extract information or assist users. The project can start with one focused component. Together we assess whether expanding it makes sense.
Illustrative scenario; not a published client case.04 / WHAT TO EXPECT
Your questions.
Clear answers.
Is API integration the same as using ChatGPT?
No. An API makes AI part of your own software and user flow, requiring your own data, permissions, cost and error controls.
How do you limit integration costs?
Measure cost per task, reduce unnecessary input and duplicate processing, and test whether a simpler model meets the required quality using examples from your application.
Where do we start with openai integration?
What quality and response time does the intended feature require? We discuss this together, define the scope and establish what is needed for an informed proposal.
What does the project cost?
The investment depends on scope, existing systems, data quality and required integrations. Your proposal separates the work, assumptions and any recurring usage or operating costs. A useful estimate requires an understanding of your situation.
How long does delivery take?
We agree a schedule once the scope and dependencies are known. System access, team availability and acceptance testing are included in the plan. Where possible, we start with a focused first step.
Can we keep our existing systems?
CRM, ERP, accounting systems, databases and analytics platforms. Available APIs, limits and licences determine what is possible. We investigate the possibilities and limitations before proposing a technical approach.
What happens after delivery?
You receive a handover explaining the solution and its documentation. Maintenance, support and further development are agreed separately, including responsibilities and how errors will be handled.