Stop reading thousands of pages manually
When highly paid professionals spend hours reading complex contracts, regulatory filings, and financial models to extract data into spreadsheets, you have a costly bottleneck that limits organizational scale.
Document Workflow Automation
Secure document workflow automation for confidential enterprise documents.
We combine proven document AI services with custom workflow logic, citations, validation, permissions, and enterprise deployment controls.
Workflow Value
From dense data to defensible action.
What Dotnitron automates
We build end-to-end pipelines for entity extraction, multi-document cross-referencing, anomaly detection, regulatory compliance mapping, and automated checklist completion using specialized OCR and LLMs.
Architecture: How the workflow works
1. Ingestion Layer: Documents are securely synced from your VDRs or file shares. 2. Processing Layer: We use top-tier OCR (like Azure Document Intelligence) to extract raw text and tables accurately. 3. Analysis Layer: Orchestrated LLMs extract defined schemas and perform comparisons against playbooks. 4. Review Layer: Results are presented in a custom React dashboard with exact text highlighting and source citations for human validation.
Security and auditability
Built for zero-trust environments. The pipeline is deployed via Docker/Kubernetes inside your VPC. We implement strict RBAC, data masking before LLM inference, and maintain immutable audit logs of every human override.
Agent Workflow Architecture
How the AI agent system works behind the page.
Every solution is implemented as a controlled workflow, not a loose chatbot. The agent operates inside approved data scopes, produces inspectable outputs, and routes judgment back to the right human owner.
Scope the job
Define the exact workflow, input sources, business rules, user roles, output format, and what the AI agent is allowed to do.
Retrieve the right context
Pull only approved documents, records, ERP context, control libraries, or playbooks before the agent drafts or acts.
Produce source-visible output
Generate findings, matrices, notes, SQL-backed answers, or queues with source references, exception reasons, and confidence signals.
Validate before expansion
Measure reviewer edits, pass/partial/fail outcomes, time saved, exception quality, and adoption before moving to adjacent workflows.
FAQ
Frequently asked questions
Does this replace human review?
No. It replaces manual extraction. The AI finds and extracts the data, providing exact citations so human experts can rapidly review, validate, and make final decisions.
Can it handle scanned PDFs or bad formatting?
Yes. We integrate specialized, high-accuracy OCR engines as the first step in the pipeline to ensure clean text extraction before any AI analysis occurs.
Automate one repeatable workflow.
Bring the workpaper, evidence review, or diligence process that consumes the most hours. We will map a practical AI-assisted pilot around your methodology.