AI agents and business process automation
We design AI agents, agent systems, RAG, LLM products, Computer Vision, NLP and ML. We automate processes and integrate AI into how the company actually works.
The value of AI does not start with models
A business does not need one more “Ask AI” button. It needs to handle requests faster, find information and pass data between systems. So we analyse the process first and only then choose AI, classic automation or a combination of both.
- Process first
- Business results
Core AI directions
We build AI agents, agent systems, enterprise search, LLM solutions, Machine Learning, Computer Vision and NLP. The system understands context, uses the right tools and hands exceptions over to a person.
Business process automation
Handling requests, documents and data across systems without manual steps.
AI agents and agent systems
Agents with tools, permissions and an action log for working scenarios.
RAG and corporate knowledge
Search and answers over internal documents with links to sources.
LLM products and assistants
Assistants and product features built on language models.
Computer Vision, NLP and ML
Recognition, classification and data extraction from images and text.
How we work
We analyse the process
We record the process, data and constraints.
We check feasibility
We test the approach and define the metrics.
We connect the tools
We integrate data, systems and services.
Production environment
We set up permissions, logs and monitoring.
We extend the automation
We add scenarios, data and agents.
Need custom development beyond AI?
Beyond AI solutions, we design and build web platforms, services and internal systems for businesses.
Control and reliability
Logs, monitoring, access rights and a fallback scenario — before launch, not after the first incident.
- least-privilege access
- confirmation of critical actions
- separation of data and roles
- links to sources in knowledge-base answers
- a log of actions and decisions
- handling of transient errors
- a fallback between models
- monitoring of quality, speed and cost
- on-premises deployment when data cannot leave your network
In production it matters to understand more than the model’s answer. You need to see what data the system used, which tools it called and what happens on an error. Critical actions get separate permissions and confirmations. Every step is recorded, and quality and latency are tracked after launch.
AI in working products
Systems in which NDDev applies AI in day-to-day operation.
Declaro
A customs declaration draft from primary documents, with links to sources for the declarant to check.
My Attention AI
A My Attention AI, Inc. platform for working with attention: Screen, Together, Train and Care.
We do not implement AI for the sake of it. We build systems that change how work gets done.
A good AI project reduces manual work. A bad one adds yet another tool that has to be maintained by hand.
- We measure the result
- We show how the system decides
- We own how it runs in production
Show us the process that eats your time
Describe the context, data, constraints and expected result. We will make an initial analysis and propose the next step.
We reply within 24 h
Discuss a project
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