The Kolibro AI blog
Our take on applied AI for mid-market operations.
AI diagnostic: start with a single workflow
A focused AI diagnostic on a workflow that costs you time or margin. You leave with a prioritised, costed plan, whether or not you go further.
Read the article →Making your internal knowledge searchable, with confidence
Make your internal knowledge searchable in plain language with a secure, sovereign RAG. Role-based access, hosting in France, put into production.
Read the article →Operational AI for funds and asset managers
Custom operational AI tools for funds: fundraising CRM, LP relations, reporting, due diligence. Sovereign, in production, code ownership.
Read the article →The ROI of an AI project, measured before you start
How to calculate and secure the ROI of an AI project: baseline, value levers, formula, pitfalls. The method for deciding before investing, not after.
Read the article →Agents that run your workflows, not demos
AI agents and copilots that run your workflows in production, not demos. Integrated with your tools, with guardrails, governance and human oversight.
Read the article →Turning your documents into usable data
Automatically extract, classify and check the information in your documents. Contracts, files, invoices: cut manual data entry and errors, with confidence.
Read the article →Why most AI POCs never reach production
Why most AI POCs never reach production, and the method to get there: baseline, adoption, industrialisation, governance.
Read the article →Where AI really creates value in a fund
Where AI really creates value in a fund: sourcing, due diligence, portfolio monitoring, LP relations. A guide to moving from testing to industrialisation.
Read the article →Enterprise AI, explained without jargon
Enterprise AI terms explained simply, for business leaders: RAG, AI agent, LLMOps, fine-tuning, POC, sovereign AI. No needless jargon.
Read the article →RAG or fine-tuning: which one for your AI project
RAG and fine-tuning meet different needs. How to tell them apart, when to combine them, and why RAG is often the best place to start.
Read the article →Build or buy your AI solution
Generic SaaS, custom development, or both: the decision framework for choosing between buying an AI solution and having one built.
Read the article →Let's start with a single workflow
The entry point is simple, bounded, and you walk away with something useful either way.
You pick a workflow that costs you time or margin.
Within a few weeks, we diagnose it with your teams.
You leave with a costed plan and a first proof of value.
Whether you take it further or not.