About

We build AI workflows for manual interpretation work.

Dotnitron is a founder-led implementation partner for professional services firms and mid-market operators that want to automate document-heavy, compliance-heavy, diligence-heavy, and ERP-heavy workflows without losing human review.

Our DNA

We are builders first.

We write the actual code and configure the actual security infrastructure. No outsourcing.

Grounded in operational reality.

Our standards are shaped by what it takes to keep a system running in production, not what looks good in a pitch.

Our Conviction

WebuildAIworkflowsaroundthemanualinterpretationworkyourteamsalreadydeliver:documentreview,evidencechecks,controlmapping,diligence,verification,andERPanalysis.

The goal is not novelty. The goal is reviewer-ready output your team can trust, edit, approve, and deliver.

What is Dotnitron

A custom AI workflow build partner for document-heavy and ERP-heavy operations.

Dotnitron helps teams turn documents, controls, evidence, diligence files, verification records, and ERP data into repeatable workflows with source visibility and validation evidence.

What Dotnitron is

A specialist build partner for teams with recurring review work, proprietary templates, client delivery standards, and approval processes.

  • Custom workflows around your operating method
  • Reviewer-ready outputs with sources
  • Private deployment options

What Dotnitron is not

We are not a generic AI agency, a model provider, or a tool that leaves the buyer to solve workflow adoption alone.

  • Not a replacement for your business judgment
  • Not a chatbot project
  • Not a public-model data shortcut

Our Operating Principles

Clarity on what Dotnitron is and what it is not.

What we don't do

  • Force your team into a generic compliance platform
  • Replace senior reviewer judgment
  • Send unsupported AI conclusions to clients
  • Build broad demos disconnected from workpapers
  • Ignore your templates, review notes, or methodology

What we deliver

  • AI workflows around your operating and delivery process
  • Reviewer-ready workpapers with source citations
  • Evidence review, control mapping, and gap analysis automation
  • Human approval flows before client delivery
  • Private, client-approved deployment options
  • Clear handover and measurable hours-saved reporting

What defines us

Principles we build repeatable AI workflows by.

01

We build around the operating reality of the client: people, tools, data boundaries, review loops, controls, and decision owners.

02

We treat AI as a system component inside governed workflows, not as a replacement for professional judgment.

03

We design for source-backed outputs, visible SQL where relevant, audit trails, client confidentiality, and private deployment options.

04

We start with one high-friction workflow, prove measurable value, and expand only when the team trusts the output.

Ready to automate one repeatable workflow?

Start with one document, compliance, diligence, verification, or ERP workflow and prove the value in a focused pilot.