Compliance and evidence workflows
SOC 2, ISO 27001, control mapping, gap analysis, evidence review, ToD, and ToE support where outputs need reviewer approval.
Workflow Automation
We replace manual data extraction and repetitive analysis with AI-powered workflows that integrate directly into your existing operations.
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.
We target workflows where humans act as 'routers' or 'data extractors'—reading complex emails to update Salesforce, pulling tables from 100-page PDFs into Excel models, or cross-referencing vendor contracts against procurement playbooks.
Traditional RPA breaks when a document format changes or an email is phrased differently. AI workflow automation uses LLMs as cognitive routers—extracting structured JSON from unstructured text, applying deterministic business logic, and executing API calls to your legacy systems resiliently.
We don't believe in unsupervised 'AI agents' running wild in the enterprise. We build custom React dashboards that highlight AI confidence scores, flag anomalies, and provide side-by-side source citations so your human experts can validate actions before they are committed to the database.
Every automated workflow is state-managed. We capture inputs, prompts, model responses, structured outputs, reviewer actions, and approval decisions so teams can inspect how important outputs were produced.
Where This Applies
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.
SOC 2, ISO 27001, control mapping, gap analysis, evidence review, ToD, and ToE support where outputs need reviewer approval.
Data-room review, background verification, secretarial due diligence, and other document-heavy processes that need source-backed findings.
SQL-backed operational intelligence for teams that need recurring answers from ERP and source-system data without analyst queues.
FAQ
AI workflow automation uses artificial intelligence to execute complex, multi-step business processes that involve unstructured data, decision-making, and document analysis, going beyond traditional rules-based automation.
We use 'human-in-the-loop' design. The AI does the heavy lifting of extraction and analysis, but presents the results with clear citations to the source documents for rapid human verification.
Bring us one workflow where an AI agent could remove repeated analyst work without losing source visibility, controls, or human review.