Transform your operations with AI.
Measure it on your results.
We help leaders remove the frictions slowing their business down, then convert the gains into margin, capacity and speed of execution.
One workflow, transformed
AI is not the goal. It is an accelerator.
Performance is blocked by operational complexity
Solid fundamentals, real domain knowledge, experienced teams. But an internal system that was never designed for speed, data and automation.
Slow execution
Business requests take weeks to become actual changes.
Scattered data
ERP, CRM, spreadsheets, email: a fragmented view of customers, prices and operations.
Manual processes
Repetitive tasks that tie up teams, slow the business down and create errors.
Invisible margin
It is hard to see where margin is actually made, and where it leaks.
Limited capacity
No internal bandwidth to run an ambitious transformation.
Before AI: get the internal operating system straight. Organise the data, speed up execution, clarify ownership.
Then AI becomes an accelerator rather than a gadget.
We don't just recommend. We build and we deploy.
Six steps across four horizons. The cycle repeats workflow after workflow, until your teams run it themselves.
0 to 1 month
Diagnosis & plan
Understand the priorities, map the workflows, quantify the gains.
- Diagnose
Where performance is blocked, and why.
→ A prioritised, costed plan.
1 to 4 months
First proof
A few concrete workflows transformed and put into production, each tied to a business metric.
- Redesign
Rethink the workflow, not just tool it.
- Build
Develop the AI, data and software you need.
- Deploy
Put it into production in your real operations.
→ Your first results.
3 to 12 months
Rollout
Extend what works, make the data and the tech reliable, put governance in place.
- Iterate
Repeat the cycle, workflow after workflow, at scale.
→ Scale.
12 to 24 months
Extension & autonomy
Skills transfer, training, hiring where needed.
- Transfer
Install the capability in-house. You stay autonomous.
→ The capability stays with you.
The diagnosis brings two views together: the leadership's economic picture and what the teams on the ground actually deal with. That is where the real pockets of value sit.
Strategy, operations and technology in a single engagement
Consultancies
Diagnose and recommend. Rarely build.
Integrators
Build, against a brief that is already written.
Software vendors
Sell a standard product for you to adapt.
Your teams
Know the business better than anyone. Short on bandwidth.
Each of these models has its place. Kolibro connects them.
A productivity gain only counts once it becomes a measurable result
Four levers turn an operational gain into a business result.
Lower costs
Temp staff, outsourcing, BPO and rework avoided.
Volume absorbed without hiring
More capacity, without a proportional rise in cost.
Fewer operational leaks
Errors, disputes, credit notes, quality failures.
Better commercial margin
Pricing, discount control, commercial discipline.
The capture discipline
Every initiative starts with:
Technology in service of the workflow
Four families of capability. None is an end in itself: each exists to remove a friction and put the fix into production.
AI & automation
Business assistants, agents, generation, and automation of repetitive work.
- Business AI Assistants
- Agentic Systems
- Process Automation
- Content Generation
Data & knowledge
Consolidate, make reliable, make usable, then make it answerable by your teams.
- RAG & Knowledge Base
- Semantic Search
- Document Analysis
- Intelligent Classification
Industrialisation & governance
What keeps a solution alive over time: evaluation, monitoring, governance.
- LLMOps & Industrialization
- Model Fine-tuning
- Model Evaluation
- Prompt Engineering
Software & integrations
Business interfaces, and connection to the ERP, the CRM and the tools already in place. No extra silo.
- Intelligent CRM
- Edge AI
- AI API Integration
What AI changes, function by function
The transformations we know how to run, grouped by function.
The mobile-first CRM for asset managers
A purpose-built CRM for fundraising and investor relations. Designed for the field: capture information the moment it is said, not back at the desk.
3 months
from diagnosis to production
100% of the team
use the tool every day
10–15 min → a few seconds
of data entry after each meeting, replaced by a voice note
“In three months, Kolibro built us the AI-native CRM we had been looking for and could not find on the market: designed to capture information at the source, fitted to how we actually work. Romain and Yahya, the tech lead, were rigorous, available and attentive.”
Harold ChatelPartner, Société civile financière Chatel
Sector use cases
The figures shown are orders of magnitude observed in the industry for this type of workflow. They indicate the potential; they do not report on a Kolibro engagement.
Automated contract analysis
Extraction and analysis of critical clauses across thousands of contracts. Legal risk detection.
Intelligent claims management automation
AI copilot analyzing declarations, attachments and photos to pre-qualify claims. Automated routing to the right handlers. Accelerated payouts.
Product demand forecasting
Predictive models based on sales history and market trends.
A team that diagnoses, builds and deploys
A founder who understands what a CEO is dealing with, and build capacity sized project by project.
Romain Sion
CEO
An engineer trained in industrialisation at Decathlon, then founder of Kalm, a data-driven brand studio. Next, partner for Europe at blisce, a growth venture capital fund, and partner at Redesign Health, a US scale-up that builds its ventures on an AI operating system. Technology and AI at the heart of every step, from the factory floor to the scale-up. From the boardroom to the reality on the ground, he speaks both languages.
The collective
A collective of more than 30 senior freelance experts: AI, full-stack, machine learning, product, design. For each transformation, Kolibro assembles the skills its execution requires.
“We start with one workflow. We transform it, we put it into production, and we measure what it returns.”
Technology in service of social impact
We help high-impact NGOs scale, with the same means we bring to our clients: method, technology and funding.
La Kintana
Antalaha, Madagascar
A Franco-Malagasy organisation founded in 2023 in Antalaha, north-east Madagascar. It works against school dropout and youth unemployment. Locally, enrolment falls from 70% in middle school to 36% in high school, and no post-secondary guidance existed anywhere in the town. La Kintana opened it.
- Academic support: a working space stocked with textbooks, open daily.
- Post-secondary guidance, the only such service in town: one-to-one sessions and resources on study paths.
- Career discovery: two sessions a month, led by local professionals.
- Digital literacy: computer access and training in essential tools, for young people whose only previous access was social media.
€40,000 contributed by Kolibro Impact
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.