AI Solutions

AI that does the work.
Not just AI that
talks about it.

We design, build, and integrate AI into real business workflows — from UiPath agentic automation and intelligent document processing to custom LLM applications, predictive models, and conversational systems.

Our AI Capabilities

What We Build With AI

We don't sell "AI solutions" as a buzzword. We build specific systems that solve specific problems — and we integrate them into the platforms your business already uses.

AI Agents & Agentic Automation

UiPath-powered AI agents that combine RPA with reasoning — autonomous workflows that handle decisions, exceptions, and orchestration.

Intelligent Document Processing

Extract, classify, and process documents at scale. Invoices, contracts, forms, emails — structured data from unstructured sources.

Conversational AI & Chatbots

Internal copilots, customer-facing assistants, and support agents built on enterprise LLMs with proper governance and integrations.

Predictive Models & Forecasting

Custom ML models for demand forecasting, churn prediction, fraud detection, and operational optimization — trained on your data.

Custom LLM Applications

Domain-specific applications built on top of OpenAI, Anthropic, Google, or open-source models — with retrieval, tools, and workflow integration.

AI Integrated Into Your Stack

We embed AI into the systems you already use — ERPs, CRMs, ticketing systems, internal tools — instead of bolting on yet another standalone app.

Technology

AI Providers We Build With

We're not locked into one provider. We choose models, platforms, and deployment options based on what fits your security, performance, and budget requirements — including on-premise and EU-hosted options when data residency matters.

OpenAI

GPT models for general-purpose reasoning, content generation, and conversational applications.

Anthropic

Claude models for enterprise-grade reasoning, long-context analysis, and agentic workflows.

Google

Gemini models and Vertex AI for multimodal tasks and Google Cloud integrated deployments.

Open Source

Llama, Mistral, and other open-source models for on-premise, EU-hosted, or privacy-sensitive deployments.

We are not affiliated with or endorsed by these providers. We build applications that integrate with their APIs and platforms.

Use Cases

AI In Action

The same underlying capabilities — agents, document processing, models, and integrations — applied across very different industries.

Finance & Risk

Automated KYC and document verification

AI agents that extract identity data, verify documents, flag anomalies, and route exceptions to human reviewers — reducing manual processing from hours to minutes.

Customer Operations

24/7 conversational support

AI assistants that handle Tier-1 inquiries, escalate intelligently, and integrate with ticketing systems — freeing human agents for complex cases.

Healthcare

Clinical document processing

Extract structured data from clinical notes, lab reports, and referrals — with audit trails and compliance with healthcare data regulations.

Legal & Compliance

Contract analysis and review

AI-powered review of contracts, policies, and regulatory documents — surfacing risks, missing clauses, and inconsistencies for human approval.

Retail & E-commerce

Demand forecasting and inventory optimization

Custom predictive models that learn from your sales history, seasonality, and external signals — improving stock decisions and reducing waste.

Operations

Internal knowledge copilots

Conversational AI that searches across your internal documentation, SOPs, and ticket history — giving employees instant answers grounded in your company's knowledge.

Approach

How We Work With AI

AI projects fail when they're treated as experiments. We treat them as engineering — with scope, integration, monitoring, and a path to production.

01

Scope the real problem

We start with the workflow, not the model. What decision needs to be made? What data exists? What does success look like in production?

02

Prototype with realistic data

We test with your actual data and processes — not curated demos. This is where we learn what works and what won't.

03

Integrate, deploy, monitor

Production-grade integration into your existing systems, with monitoring, logging, and governance built in from day one.

04

Iterate and scale

Models drift, requirements change. We maintain, retrain, and expand what we built — as a long-term engagement, not a handoff.

Why Us

Why Flow Automations for AI

Many companies sell AI consulting. Few of them can deliver AI into production, integrate it with legacy systems, and staff it long-term. We do all three.

UiPath agentic automation expertise

We're not learning agentic automation now — it's already our core practice through UiPath. We've shipped agents in production.

Real software engineering, not just prompts

AI applications need real integrations, real testing, and real deployment pipelines. We bring full-stack engineering, not just prompt templates.

EU-based, EU-deployable

Romanian entity with European delivery. On-premise, EU-hosted, and data-residency-aware deployments when your industry requires it.

Specialists who stay

Through professional services and staff augmentation, the people who built it can stay to maintain, extend, and operate it.

Have an AI project in mind?

Whether you're scoping a first pilot, integrating AI into existing systems, or scaling something that's working — let's talk about how to make it production-ready.