Question 1

What types of internal AI systems does Dotnitron build?

Accepted Answer

We build internal AI copilots, automation platforms, document intelligence systems, decision dashboards, and production-ready AI applications for enterprise teams.

Question 2

Who does Dotnitron typically work with?

Accepted Answer

We work with PE operating teams, finance leadership, advisory and consulting firms, and enterprise transformation teams — leaders who need internal systems that deliver results, not innovation theater.

Question 3

How does Dotnitron's delivery model work?

Accepted Answer

We follow a time-boxed, sprint-based delivery model: Scope → Sprint → Review → Deploy → Decide. Each phase has clear checkpoints, and systems are production-ready from sprint one.

Question 4

How does Dotnitron handle security and compliance?

Accepted Answer

Security is built into every engagement. We follow enterprise-aligned security practices, build governance-aware systems, and ensure all deployments meet your compliance and data residency requirements.

Question 5

What is the typical engagement timeline?

Accepted Answer

Most engagements begin with a focused scoping phase and move into production sprints within weeks. Typical initial deployments happen within 4-6 weeks, with ongoing engagement options available.

Question 6

Does Dotnitron provide ongoing support after deployment?

Accepted Answer

Yes. We offer ongoing engagement models that include maintenance, iteration, and expansion of deployed systems. Every engagement includes clear decision checkpoints where you choose whether to continue, expand, or pause.

Question 7

How do you manage communication with international clients?

Accepted Answer

We establish significant overlap in working hours with all clients. Each engagement has a dedicated delivery lead who serves as your single point of contact, ensuring clear, consistent communication.

Question 8

What makes Dotnitron different from other AI development firms?

Accepted Answer

We focus exclusively on internal AI systems for enterprise teams under delivery pressure. We don't build demos — we build production systems with full ownership transfer, enterprise-grade security, and time-boxed execution.

Question 9

How do you protect intellectual property?

Accepted Answer

Your IP is yours — always. We work under comprehensive NDAs, use secure development environments, and provide full code ownership and documentation at every delivery milestone.