Compliance and evidence workflows
SOC 2, ISO 27001, control mapping, gap analysis, evidence review, ToD, and ToE support where outputs need reviewer approval.
Applied AI Consulting
Workflow consulting that ends in working systems.
We help advisory, finance, compliance, and operations teams identify the repeatable work that is costing margin, then design the data, review, security, and implementation path needed to remove it.
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
AI strategy is not enough
Many teams have ideas, licenses, and internal excitement, but no workflow that people use every day. We evaluate the real operating path, data readiness, security boundary, reviewer process, and integration constraints before writing code.
02
How Dotnitron identifies workflows worth automating
We do not automate everything. We look for repeatable expert work with clear business pain: unstructured input, known rules, source checking, exception handling, and a human review step where preparation can be safely accelerated.
03
How Dotnitron evaluates models and services
We are model-agnostic. We evaluate the client's approved frontier models, private model endpoints, specialized OCR engines, table extraction tools, and embedding models to design a pipeline tailored to latency, cost, accuracy, and security requirements.
04
How Dotnitron designs secure workflows
Security is the architecture. We design systems that deploy into your existing AWS/Azure VPC. We diagram the data flow to ensure PII masking, enforce Row-Level Security (RLS) via injected user context, and ensure all AI inference happens within a private network boundary.
05
How Dotnitron moves from pilot to production
A prototype proves a model can do something once. Production requires resilient ingestion, failure handling, structured output validation, reviewer interfaces, observability, and an owner who can decide whether the workflow is trusted enough to expand.
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
What is applied AI consulting?
Applied AI consulting focuses on turning a specific business workflow into working software. The useful output is not a strategy deck; it is a controlled workflow with data access, review steps, measurement, and an implementation path.
How do you choose which workflows to automate?
We look for repeatable expert work where highly paid professionals are spending hours manually extracting data, cross-referencing sources, preparing workpapers, or waiting on operational answers.
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.