LANGUAGE MODEL LLM
INTEGRATION

Your data. Your processes. AI tailored to your business language.

FASTER WORK WITH DATA DOCUMENTS KNOWLEDGE

Integrating language models (LLMs) makes it possible to embed natural language AI into an organization’s processes and systems. The model is tailored to company data, content, and workflows, enabling it to analyze documents, answer questions, generate content, and support teams in their day-to-day work.

Our solutions accelerate information work: from customer service and back-office processes to document analysis and knowledge work automation. This is the direction for companies that want to use AI in practice, in a secure, predictable, and regulation-compliant manner.

FROM FRICTION TO FLOW

 

 

 

 

SCOPE OF SERVICE:
LANGUAGE MODEL (LLM) INTEGRATION

LLM architecture design

We create scalable and regulation-compliant architectures based on language models, tailored to your organization’s processes and systems.

AI agent development

We build agents that use natural language to handle processes, queries, and decisions, customized to your company’s data specifics and workflows.

Read more

System and API Integrations

We connect LLM models with your applications and data, ensuring seamless AI integration with your existing technology ecosystem.

Read more

Training and Workshops for Teams

We deliver practical training that helps business, IT, and data teams effectively use LLMs and new AI architecture.

Security, Governance, and AI Oversight

We provide complete control, governance, and model monitoring mechanisms, minimizing operational, legal, and ethical risks.

Maintenance and Development of LLM Solutions

We guarantee stability, scaling, and development of LLM-based solutions: from launch through ongoing operation and evolution.

KEY LLM INTEGRATION CAPABILITIES

 

 

 

 

 

PLATFORMS AND TECHNOLOGIES FOR LLM INTEGRATION

Azure AI Foundry

Models, orchestration, and security in one environment. Azure is used for LLM model hosting, data integration, vectorization, and building RAG-based solutions.

Microsoft Copilot Studio

We design and develop agents operating in natural language. Copilot Studio enables creating logic, workflows, and integrations that connect AI with business processes.

UiPath and Microsoft Power Platform

We leverage UiPath and Power Platform to integrate LLMs with company processes and systems. This makes models part of cohesive workflows, and automation covers both data and operational actions.

BUSINESS OUTCOMES

 

 

 

 

Why us?

We deliver LLM solutions that reduce working time, simplify processes, and improve decision quality across the organization.

AI implementation experience
We deliver AI implementations in complex corporate environments, ensuring stability, measurable results, and full compliance with business requirements.
Data + automation + business competencies
We combine technological, analytical, and process knowledge, enabling us to design solutions tailored to real operational needs.
Close client collaboration
We work in a partnership model, engaging client teams at every project stage, which accelerates implementations and increases solution accuracy.
Responsible AI use
We apply Responsible AI principles: data security, transparency, risk control, and regulatory compliance.
Rapid prototyping and scaling
We create prototypes quickly, then develop them into production versions, reducing time-to-value and limiting the risk of unnecessary costs.

INTELLIGENT AUTOMATION & AI EXPERTS

A team of certified UiPath and Microsoft Copilot experts with deep implementation, analytical, and technical expertise. We work end‑to‑end: identifying high‑ROI processes, building and deploying solutions powered by RPA, AI, and Document Understanding, and ensuring ongoing stability and scale.

Our approach is data‑driven, grounded in governance best practices, and based on close collaboration with the business and technical teams who use the automation every day.

alt text

Daniel Chrapczyński

Autonomous Enterprise Manager

Łukasz Ewertowski

Head of Microsoft CoE

Kamil Kamiński 

Senior Business Development Manager

INTELLIGENT AUTOMATION & AI EXPERTS

alt text

Daniel Chrapczyński

Autonomous Enterprise Manager

Expert in business process automation and AI-driven solutions, focused on developing intelligent automation capabilities at Mindbox. Supports organizations in designing and implementing RPA- and AI-based solutions that streamline operations and reduce manual work. Brings together technology, process analysis, and business needs to help organizations build scalable automation approaches. Has extensive experience delivering transformation and automation projects across multiple industries.

INTELLIGENT AUTOMATION & AI EXPERTS

Łukasz Ewertowski

Head of Microsoft CoE

Expert in Microsoft solutions and AI, driving the Microsoft Center of Excellence at Mindbox. Supports organizations in the practical adoption of artificial intelligence – from strategy and architecture to real implementations across business and development environments. Connects technology with processes and business needs, helping companies deploy and scale AI in a secure, structured, and measurable way. Holds the Microsoft Certified AI Transformation Leader credential, confirming leadership expertise in AI adoption.

INTELLIGENT AUTOMATION & AI EXPERTS

Kamil Kamiński 

Senior Business Development Manager

Focuses on Intelligent Automation and AI, supporting organizations in designing and implementing solutions that streamline business processes. Helps companies make informed technology decisions by aligning business needs with real-world AI and automation use cases. Works closely with clients to shape their automation approach and select solutions that fit their specific context. Translates business goals into actionable initiatives and implementations, while building long-term relationships grounded in a practical, hands-on approach to transformation.

FAQ – LANGUAGE MODEL (LLM) INTEGRATION

What models do you recommend and what does it depend on?

Model selection depends on several factors: response quality, usage cost, regulatory compliance, data requirements, and supported languages. We recommend models after analyzing the client’s processes and business needs.

Can we operate in the cloud or hybrid environment?

Yes. We design architecture aligned with organizational policies, using Azure AI services, client’s private resources, and integration solutions. We select the environment to ensure security, compliance, and data control.

Do models learn from our data?

Not by default. Data used during inference is not used to train the provider’s models. We adapt the model to organizational knowledge through RAG or isolated fine-tuning compliant with security requirements.

How do you limit hallucinations and ensure response quality?

We apply fact verification based on sources, response scoring, domain constraints, A/B testing, prompt design principles, and quality monitoring. In critical processes, we use additional rule-based validation.

What does AI integration with our systems look like?

We build an integration layer based on APIs and automation, connecting LLMs with ERP, CRM, DMS, and document repositories. This ensures secure data use and consistent AI agent operation in company processes.

What is the typical AI solution implementation time?

We typically deliver the first value-focused prototype in 2 to 6 weeks, and the production version in approximately 6 to 12 weeks. Exact timing depends on process complexity, integrations, and data requirements.

How do you estimate costs and ROI for LLM solutions?

We analyze total cost of ownership, infrastructure, integrations, and maintenance, then compare them with manual process costs. We factor in saved time, automation volume, and improved data and decision quality.

What about compliance with regulations (e.g., AI Act, GDPR)?

We design solutions following privacy by design principles, data minimization, risk control, model decision logging, and full AI governance. This ensures compliance with national and industry regulations.

Are solutions scalable for high traffic and multiple languages?

Yes, we use autoscaling, request queuing, multilingual models

How do you prepare users and the organization?

We conduct adoption workshops, responsible AI usage policies, training materials, prompt catalogs

How do solutions work with Microsoft 365/Power Platform?

We integrate agents with SharePoint/OneDrive, Teams, Copilot Studio, Power Automate/Power Apps, and Azure Cognitive Search, maintaining M365 policies and access control.

Let’s talk

Contact our Intelligent Automation and AI expert

Fill out the form – we respond within a maximum 24 hrs .

Tell us what you’re looking to achieve

Contact form (EN)

Tell Us WHY

WE KNOW HOW