Compliance and evidence workflows
SOC 2, ISO 27001, control mapping, gap analysis, evidence review, ToD, and ToE support where outputs need reviewer approval.
Service Integration
Model-agnostic AI integration for enterprise workflows.
We don't build foundation models. We evaluate, integrate, and orchestrate the best third-party AI services to build secure, high-performance systems.
What is Dotnitron? Dotnitron is a forward-deployed AI workflow implementation company. We help teams turn AI models, agents, internal data, documents, ERP systems, and human review processes into secure production workflows with measurable operating value.
01
Dotnitron is an integration layer, not a model lab
We focus on the engineering required to make models useful in the enterprise: resilient data pipelines, structured context assembly, retrieval workflows, evaluation loops, tool orchestration, and interfaces that fit how teams already work.
02
Why flexible model selection matters
The state-of-the-art model changes every few months. By abstracting the AI inference layer behind unified interfaces (like LiteLLM), we ensure you can instantly swap from OpenAI to Anthropic to an internal open-source model without rewriting your application logic.
03
What we integrate into your systems
We compose workflows using the client's approved model providers, OCR and document intelligence services, search/vector stores, SQL databases, SharePoint or Drive repositories, and custom internal APIs.
04
Preventing vendor lock-in
We use standardized interfaces and abstract the underlying AI services where possible. The workflow logic, validation layer, and review experience are designed so the client can change model providers without rebuilding the entire system.
Where This Applies
Start where repeated interpretation work is already hurting margin.
The best AI agent implementation projects do not begin with a blank transformation program. They begin with a workflow that already has volume, rules, exceptions, reviewer judgment, and measurable delay.
Diligence and verification workflows
Data-room review, background verification, secretarial due diligence, and other document-heavy processes that need source-backed findings.
ERP and operational answer workflows
SQL-backed operational intelligence for teams that need recurring answers from ERP and source-system data without analyst queues.
FAQ
Frequently asked questions
Why is being model-agnostic important?
No single AI model is best for every task. A model-agnostic approach allows you to use the most accurate, cost-effective, or secure model for each specific workflow, while protecting you from vendor lock-in.
Can you work with our approved AI providers?
Yes. We regularly design around customer-mandated model providers, private endpoints, cloud AI services, or internally hosted models.
Ready to move beyond AI pilots?
Bring us one workflow where an AI agent could remove repeated analyst work without losing source visibility, controls, or human review.