Digitanova

AI & LLM Systems

We build chatbots, RAG systems, and AI agent workflows, and help engineering teams adopt AI coding tools safely.

AI-Assisted Development & Engineering Workflow Modernization

What it is

Helping your engineering team properly adopt AI coding tools (like Claude Code) — setting up standards for how prompts are written, how AI-generated code gets reviewed, and how to use it safely without introducing bugs or security issues.

How it helps you

If your developers are already using AI tools informally but without any process around it, this reduces the risk of AI-introduced bugs while genuinely speeding up delivery, based on practices already used in a live production environment.

LLM-Powered Chatbot & Virtual Assistant Development

What it is

Building a custom chat assistant for your business — for customer support, an internal staff helpdesk, or a feature inside your product — connected to your existing systems like your CRM or support ticketing tool.

How it helps you

If your support team is overwhelmed with repetitive questions, or you want to offer instant help to customers or staff, this reduces response times and workload without needing to hire more support staff.

Retrieval-Augmented Generation (RAG) Systems

What it is

Connecting an AI assistant to your own company documents, manuals, or databases so that it answers questions using your actual information — not generic internet knowledge that could be wrong or outdated.

How it helps you

If you want an internal tool where staff can "ask a question and get the right answer from our own documents," or a customer-facing assistant that only gives accurate, approved information, this makes AI trustworthy for your specific business.

AI Agent Orchestration & Multi-Step Reasoning Workflows

What it is

Designing systems where AI handles multi-step tasks — like researching something, processing data through several stages, or working through an approval process — with checkpoints where a human reviews or approves before anything important happens.

How it helps you

If you have a repetitive multi-step process that currently requires staff to do step by step, this can automate large parts of it while keeping a human in control at the critical points, saving time without losing oversight.

AI Workflow Integration into Existing Software

What it is

Adding specific AI features into software you already use or have built — such as automatically summarizing records, drafting responses, or sorting incoming data — rather than building an entirely new AI product.

How it helps you

If your current system works fine but is missing a specific capability that AI could handle (like turning long reports into quick summaries), this adds that feature directly into your existing workflow with minimal disruption.

AI-Assisted Development Enablement for Engineering Teams

What it is

Direct, hands-on training and rollout support for your development team to start using AI coding tools effectively and safely, based on real experience implementing this in a production engineering team.

How it helps you

If you want your developers to work faster using AI tools but don't have anyone internally who's done this properly before, this gets your team up to speed with fewer mistakes and a faster payoff.

AI System Security, Reliability & Compliance Review

What it is

A security-focused review of any AI system you're using or building, checking for risks like sensitive data being sent to external AI models, manipulation of the AI through malicious input (prompt injection), or over-reliance on AI output without verification.

How it helps you

If you're using AI in your business and worried about data privacy, compliance (like GDPR), or the AI giving wrong answers with confidence, this identifies the risks before they become a problem — not after.

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