Assistants and knowledge systems
Searching and summarizing internal documents, optionally with retrieval-augmented generation (RAG).
ARTIFICIAL INTELLIGENCE / LLM
AI that supports the process. Not complicates it.
We are developing solutions that use language models to work with knowledge, data and tools. We prioritize information control, output validation and integration with existing IT.
PROFIVE / WORKFLOW
Our approach
01Understand the need
02Design the solution
03Implement
04Validate and improve
PRACTICAL AI
Language models as part of a system.
AI creates value when it has access to relevant context, operates within clear boundaries and performs well-defined tasks. That is why we emphasize integration architecture, access policies, response evaluation and human oversight.
Where LLMs can add value
AI-enabled automation
Connecting models to APIs and tools, classifying information and assisting repetitive decisions.
Local and private AI
Evaluating models deployed in customer infrastructure while considering hardware and data protection constraints.
AI quality and security
Testing LLM system behavior, limiting unauthorized actions and reviewing software produced with AI assistance.
Build controlled AI workflows
Define the goal and data scope
Confirm AI adds value and establish what information it may process.
Prototype and evaluate
Compare output quality, latency, cost and operational risk.
Integrate with access controls
Set tool permissions, processing rules, logging and human checkpoints.
ARCHITECTURE
Building blocks
Models
Integration
Deployment
Controls
SERVICE MATURITY
An evolving AI / LLM capability
AI and LLM are an evolving part of Profive’s offering. This page describes design, integration and prototyping capabilities, not undocumented production deployments or security certifications.
WORK WITH US
Have a process to improve or a system to build?
Let’s discuss architecture, automation, software quality and pragmatic applications of AI.
Discuss your project