Compliance and evidence workflows
SOC 2, ISO 27001, control mapping, gap analysis, evidence review, ToD, and ToE support where outputs need reviewer approval.
Implementation Partner
Enterprise AI implementation for teams that need production outcomes.
Stop building demos. We take proven AI models and turn them into secure, scalable, and governed enterprise 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
Why enterprise AI pilots stall
Pilots fail because they ignore enterprise realities: messy data, strict infosec requirements, and legacy system integration. We build for production from day one by integrating with your existing Identity Providers (SSO/SAML) and defining strict VPC peering architectures.
02
The implementation layer Dotnitron owns
We handle the applied AI stack behind the workflow: document ingestion workers, retrieval indexes, semantic and keyword search, structured-output validation, evaluation harnesses, reviewer interfaces, and production observability.
03
Model and vendor selection
We help you navigate the AI vendor landscape without locking the workflow to one model. Depending on the client's constraints, we can use approved commercial APIs, private cloud model endpoints, or self-hosted open-weight models to balance accuracy, cost, latency, and privacy.
04
Security and compliance controls
We design masking, row-level access controls, provider boundaries, and audit logging around the workflow so sensitive data exposure is controlled before any model call is made.
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 enterprise AI implementation?
Enterprise AI implementation is the process of integrating AI capabilities into an organization's existing systems, processes, and security frameworks to achieve scalable, production-ready outcomes.
How long does implementation take?
We typically deliver initial production workflows in 90 days. We start with a 5-day sprint to prove viability, followed by a 30-day pilot, before scaling to full production.
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.