Project status
Live in production during our engagement
- 7 Regional Environments
- ~3,500 Registered Users
- OpenAI + Azure OpenAI
Production Enterprise AI
Specialist engineering for a multi-region, retrieval-enabled enterprise AI platform.
The platform combined enterprise search, document processing, retrieval, and generative AI across separately maintained regional environments. Dotnitron participated as a specialist engineering contributor within a wider client delivery team rather than as the platform's sole developer.
How we contributed
Dotnitron contributed AI and backend engineering, retrieval and document-processing work, model-provider integration, frontend delivery, testing, production issue resolution, and technical coordination inside a wider team. Participation peaked at approximately six people; near the end of the engagement, two Dotnitron engineers worked in a seven-person delivery team.
Challenge
Enterprise generative AI platform across seven regional environments
Operating the product across multiple regions required more than a successful model demo. Each environment needed dependable ingestion and retrieval, approved model integrations, user-facing product behavior, testing, release coordination, and production support while regional deployment differences remained manageable.Production Enterprise AI
About this client work
We protect the client's identity and confidential implementation details. The project status, scale, environment, and our role reflect what we directly observed during the engagement.
What we built
Our contribution to the live platform.
We worked as part of the wider client delivery team. These are the areas where Dotnitron directly contributed.Step 01
Built and maintained AI application services connecting document ingestion, retrieval, model calls, and the user experience.
Step 02
Integrated OpenAI and Azure OpenAI according to the deployment context rather than forcing one provider path across every environment.
Step 03
Supported document-processing and retrieval behavior as the platform's recorded file volume grew to approximately 50,000 application records at one observed point.
Step 04
Worked through production defects, testing, iteration, and regional release coordination with the wider delivery team.
What reached production
What was live during our engagement.
We report the delivery facts and scale we directly observed. We do not invent ROI or business results that were not independently measured.Results and delivery milestones
These were the operating and delivery facts we observed.
- Seven separately maintained regional production environments supported
- Approximately 3,500 registered users recorded across those environments around August 2025
- Approximately 50,000 file records observed in the application database at one point in time
- A production operating pattern spanning retrieval, model integration, product engineering, QA, and release support
Inside the product
What the production platform included.
We describe the product without exposing confidential architecture, business information, or customer data.Capability 01
Retrieval-enabled answers grounded in enterprise document collections
Capability 02
Regional application environments using approved OpenAI or Azure OpenAI integrations
Capability 03
Document-processing, application, testing, and production-support components maintained as one operating platform
Scale and scope
The scale of the work.
These figures reflect specific points during our involvement. They should not be read as current usage or independently audited business outcomes.Measure 01
7 regional production environments
Measure 02
~3,500 registered users observed around August 2025; this is not a current or monthly-active-user figure
Measure 03
~50,000 application file records observed at one point; this is not a unique-document or usage count
Important context
This anonymized record is based on Dotnitron's direct delivery participation and contemporaneous observations. Dotnitron was a specialist contributor within a wider team, not the sole author or owner. Historical scale figures are point-in-time operational observations, not current customer metrics or independently audited business outcomes.
- 7 Regional Environments
- ~3,500 Registered Users
- OpenAI + Azure OpenAI
Technology partnership
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