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AI Agency & Automation: Transform Your Business Processes with Artificial Intelligence

Artificial intelligence is no longer reserved for tech giants. In 2026, businesses that automate with AI save 15 to 25 hours per week and reduce errors by 90%. This guide shows you exactly how.

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Technologies & Partenaires

Who will build your project

No anonymous outsourcing: meet the people who will design, build and ship your solution.

Victor Gless-Krumhorn

Victor Gless-Krumhorn

Founder & Lead Developer

Prépa HEC, Paris-Dauphine (Finance & Wealth Management). Former UBS. Reserve NCO in the French Army. Full-Stack Developer specializing in Ruby on Rails — leads JAIKIN's technical strategy and product direction.

Ruby on Rails Finance Product Strategy
Patrick Eiermann

Patrick Eiermann

Senior Full-Stack Developer

Epitech graduate with 8+ years of software engineering experience, specialized in Node.js and DevOps. Designed an airline ERP system, e-commerce platforms, and production SaaS applications. Owns back-end architecture and systems integration.

Architecture ERP & SaaS Integrations

JAIKIN at a glance

What defines us, in four points.

Focus
AI & operational automation consultancy for industrial SMEs and mid-market companies — results-driven, with fast production rollout.
Compliance
Privacy-first AI: built GDPR & AI Act compliant, data hosted in Europe, human oversight at every step.
Method & ROI
Standard approach: ROI-focused pilots in 3 to 6 months, with success metrics defined from the scoping stage.
Integration
Odoo integrator, AI and no-code automation for industrial information systems — including existing (brownfield) environments.

70%

of repetitive tasks can be automated

3-6 months

to achieve ROI

90%

error reduction

15-25h

saved per week

Estimates based on our PME/ETI automation projects.

What is AI Automation?

AI automation combines artificial intelligence and process automation to transform the way your business operates. Unlike traditional automation tools (Excel macros, basic scripts) that follow rigid rules and break whenever the format changes, AI can analyse, understand and adapt to complex, unforeseen situations.

In practice, this means you can automate not only simple tasks (copy-pasting between tools, sending reminder emails) but also processes requiring judgement: analysing an unstructured document, categorising a customer request, extracting data from a poorly formatted PDF, or even drafting a personalised response.

AI automation works in 3 layers: the orchestration layer (iPaaS platforms) that connects your tools, the intelligence layer (GPT-4, Claude) that understands and decides, and the action layer that executes in your business systems (CRM, ERP, accounting).

Dual-screen workstation: business back-office on the left, automated workflow diagram on the right

Les 3 couches de l'automatisation IA

1

Orchestration Layer

Orchestration platforms — connects your tools and orchestrates data flows between them

2

Intelligence Layer

GPT-4, Claude, specialised models — understands, analyses, decides and generates

3

Action Layer

Business APIs, CRM, ERP, accounting — executes actions in your systems

AI Automation vs RPA: The Definitive Comparison

RPA follows fixed rules and breaks when the format changes; AI automation understands context and handles unstructured data — emails, PDFs, images.

Criteria RPA (Traditional Automation) AI Automation ✓
Intelligence Fixed rules, if/then/else Contextual understanding, adaptation
Data handled Structured only (spreadsheets, forms) Structured + unstructured (emails, PDFs, images)
Adaptability Breaks if the format changes Adapts to format variations
Complexity handled Linear, predictable processes Variable processes, with exceptions
Learning None, static Improves over time with data
Cost Cheaper upfront Higher ROI over 6-12 months
Ideal use case Data entry, form extraction Emails, documents, decisions, content

Our recommendation : Our recommendation: start with RPA for simple, standardised processes, then add AI where variability and decision-making are needed. Most of our clients combine both.

Why Automate with AI in 2026?

Three concrete benefits: free up time on repetitive tasks, cut operating costs, and make your processes more reliable.

15-25h / week

Massive time savings

Automate up to 70% of your repetitive tasks. Your teams shift from manual execution (data entry, copy-paste, follow-ups) to strategic missions: customer relations, innovation, business development.

💡 Tip: start by timing your repetitive tasks for one week. The 3 most time-consuming are your automation priority.

30-50% in savings

Operational cost reduction

Reduce your operational costs while improving quality. An automated process costs a few cents per execution, versus several euros for manual processing once you add salary cost, errors and delays.

💡 Quick calculation: (manual hours × hourly rate) − tool cost = monthly savings. Most of our clients break even in 3-6 months.

99.9% reliability

Zero errors, consistent quality

Eliminate re-keying errors and oversights on automated tasks: once the rule is validated, it runs identically every time — no fatigue, no distraction — whereas manual entry accumulates errors at volume.

💡 The most costly errors aren't typos — they're oversights. An unsent email, a missed follow-up, a quote never tracked.

Change management

AI adopted by your teams, not imposed on them

An AI project succeeds through adoption as much as through technology. Here is how we embed it in your teams.

1

Field mapping

On-site workshops with the people who do the work day to day — not just management — to pinpoint the real friction points.

2

Business & IT co-design

We design with your teams and your IT department, never around them: the solutions stay yours.

3

Training & upskilling

Onboarding paths tailored to non-technical leaders as well as front-line staff, for lasting adoption.

4

Human oversight

AI assists, your teams keep control (human-in-the-loop): sensitive decisions stay validated by humans.

5

Adoption tracking

Monitoring metrics to confirm the tools are actually used, and to fine-tune support over time.

SMEs vs Mid-Market Companies: distinct automation needs

Each company size has its priorities and constraints

SMEs (10-250 employees)

SMEs primarily seek to save time on repetitive tasks that hinder their growth. With reduced teams and tight budgets, they favour quick wins: simple automations, rapid ROI, deployment within a few weeks.

  • Automate invoicing and payment tracking (up to 15 hours/week saved)
  • Handle level 1 customer enquiries via intelligent chatbot
  • Automatically extract data from supplier invoices (OCR + AI)
  • Automatically qualify sales leads
  • Generate monthly reports without manual intervention

Mid-Market Companies (250-5,000 employees)

Mid-market companies have more structured but also more complex processes. Their challenges focus on integration between existing systems, scalability and enhanced compliance. They can invest more but demand solid guarantees.

  • Orchestrate complex workflows between ERP, CRM and business tools
  • Automate supply chain and procurement
  • Implement real-time decision-making dashboards
  • Manage HR at scale: recruitment, onboarding, training
  • Ensure GDPR + AI Act compliance across all automated processes

See the dedicated mid-market company guide

Whatever your size, the essential thing is to start with a precise audit of your processes to identify quick wins and build a progressive roadmap. AI automation is not an IT project, it's a business transformation.

6 Concrete AI Automation Use Cases

Solutions that actually work, department by department

Invoicing & Accounting

Complete cycle automation: invoice received → OCR + data extraction → AI validation → accounting entry → overdue reminders. Average saving: 12h/week.

Before: manual entry, amount errors, forgotten reminders

After: processed in <2 min, zero errors, automatic D+3 reminders

AI Customer Support

Intelligent chatbot that understands requests, answers common questions, classifies tickets by urgency and automatically escalates complex cases.

Before: 45 min average response time, lost tickets

After: response in <5 min, 60% of requests resolved without human intervention

Data Analysis & Reporting

Automatic consolidation of your multi-source data, custom report generation, predictive alerts on your KPIs and action recommendations.

Before: 1 day to produce a monthly report

After: real-time dashboards, auto-generated reports every Monday at 8am

Marketing & Lead Generation

Intelligent contact segmentation, automatic lead scoring, personalised email sequences and automated multi-channel tracking.

Before: generic newsletters, unqualified leads, manual tracking

After: personalised emails, automatically scored leads, +40% conversion

Human Resources & Recruitment

Automated CV sorting with AI matching, complete digital onboarding (accounts, access, training), leave management and automatic reminders.

Before: 2h per application for sorting, 3-day manual onboarding

After: pre-screening in 10 sec, complete onboarding in 2h

Operations & Supply Chain

Predictive stock management with smart thresholds, supplier order optimisation, automated delivery tracking and dynamic planning.

Before: stockouts, costly overstock, late orders

After: stock optimised -30%, zero stockouts, auto-triggered orders

Where are you on the automation maturity scale?

Identify your level to set the right priorities

📋

Level 1 — Manual

0-10% automatisé

Everything is done by hand: copy-pasting between tools, emails written one by one, reporting on Excel.

Start with: automating the most repetitive tasks (notifications, reminders, data transfers)

⚙️

Level 2 — Basic Automation

10-30% automatisé

A few simple automations (basic connectors, Gmail filters, templates) but no overall strategy.

Next step: connect your main tools and create multi-step workflows

🚀

Level 3 — Advanced Automation

30-60% automatisé

Structured workflows, interconnected tools, AI used occasionally. Critical processes are automated.

Next step: add AI to handle exceptions and complex cases

🧠

Level 4 — Intelligent Automation

60-90% automatisé

AI handles the majority of processes. Teams supervise and focus on strategy.

Next step: autonomous AI agents, predictions, continuous optimisation

Does your SME need automation?

If you tick 3+ of these situations, automation can transform your business

1

Your teams spend more than 1h/day entering data into multiple tools

2

You have recurring data entry errors (invoices, orders, inventory)

3

Customer or supplier reminders are often forgotten or late

4

Your reporting requires manually consolidating data from 3+ sources

5

Onboarding a new employee takes more than a day

6

You can't increase volume without hiring

7

Your sales team spends more time on admin than selling

8

You have at least 5 SaaS tools that don't communicate with each other

Our 5-Step Methodology

A proven process to guarantee the success of your AI automation

1

Audit & Discovery

1 week

Mapping your processes, identifying quick wins and high-ROI automations. Deliverable: prioritised roadmap.

Deliverable : Prioritised automation roadmap

2

Proof of Concept

1-2 weeks

Working prototype on your priority use case. Validation with your teams, measuring initial gains.

Deliverable : Validated working prototype

3

Build & Integration

2-4 weeks

Full development, connection to your tools, edge case handling, thorough testing.

Deliverable : Production-ready solution

4

Deployment & Training

1 week

Progressive rollout, team training, complete documentation.

Deliverable : Trained and autonomous teams

5

Continuous Optimisation

Ongoing

KPI monitoring, adjustments, extension to new processes. Responsive support and evolution with your needs.

Deliverable : Continuous performance improvement

The Tools We Master

We choose the technology suited to your context — never the other way around

Orchestration & iPaaS

  • Open-source orchestrator (self-hosted, data in France)
  • Cloud automation platforms
  • iPaaS connectors
  • Native APIs

Artificial Intelligence

  • GPT-4 / GPT-4o (OpenAI)
  • Claude (Anthropic)
  • Mistral (French AI)
  • Specialised open-source models

CRM & ERP

  • HubSpot / Salesforce / Pipedrive
  • Pennylane / Sage / QuickBooks
  • Monday / Notion / Airtable
  • Slack / Teams / Google Workspace

Concrete Results: Businesses Transformed by AI Automation

Three clients who agreed to be named, complemented by representative projects anonymized at the client's request.

DT INTERIM — Multi-branch staffing group

HR — temporary staffing

Challenge : Orders received by email/WhatsApp in free text, manually re-entered into the ATS. Temp workers constantly asking the same questions (pay, advances, certificates).

Solution : AI WhatsApp agent converting messages into structured purchase orders, AI matching of candidates to assignments, 24/7 temp-worker assistant via SMS/WhatsApp.

~2 FTEs freed up

Across 2 branches and 13 employees. GDPR & AI Act compliant (recruitment is a high-risk AI use case).

Cambacérès — Business law firm

Legal — business law

Challenge : Semi-manual drafting of routine legal acts, templates rewritten for every matter, risk of missing a clause — with a non-negotiable requirement: no data may ever be shared with a third party.

Solution : AI-assisted (GPT) legal-act configurator running in Zero Data Retention — the AI drafts standard clauses while the lawyer keeps control over substance.

100% of acts reviewed

Act templates owned by the firm. Zero client data reused for training. 100% of acts reviewed by a lawyer.

Kappeler — Illuminated-sign manufacturer (Alsace, since 1962)

Industry — custom manufacturing

Challenge : Fully manual chain: 30 to 60 min per facade plan redrawn by hand, CERFA declarations entered manually, no workshop visibility.

Solution : CAD↔AI bridge to automatically generate plans and production tickets, AI administrative automation for CERFA filings, real-time workshop production tracking.

+450% leads

Administrative time cut by a third. Opened a new export market (Germany).

B2C E-commerce — 50 employees

Retail & E-commerce

Challenge : 500+ orders/day processed manually. 15 errors/week on invoices. Forgotten customer reminders, tight cash flow.

Solution : Automated pipeline: order → AI verification → invoicing → D+3/D+15/D+30 reminders. Support chatbot for tracking requests.

Invoicing made reliable

15h/week recovered. DSO reduced by 12 days. Customer satisfaction up.

B2B Consulting Firm — 30 employees

Professional Services

Challenge : Manual quotes (45 min each), contracts never tracked, time-consuming client reporting (1 day/month per client).

Solution : Automatic quote generation from CRM, contract tracking with alerts, auto-generated monthly reports sent automatically.

Quotes and reporting automated

Quote time from 45 min to 5 min. 100% reminder rate (vs 60% before). 2 days/month recovered per consultant.

E-commerce Distribution — 22 employees

E-commerce & Distribution

Challenge : Every Monday, 2h to compile data from 5 sources (Shopify, CRM, accounting, stock, ads) and create the weekly management report.

Solution : Automated pipeline: data extraction Sunday evening, Supabase consolidation, PDF generation with AI commentary, automatic delivery Monday 7am.

0h of manual work

100% data reliability. Report delivered every Monday at 7am. 8h/month recovered.

How Much Does AI Automation Cost?

An automation starts at €2,000 for one process and ranges from €8,000 to €25,000 for a multi-department transformation. ROI is typically reached in 3 to 6 months.

Chart: cumulative cost over 12 months of manual tasks (status quo) compared to an AI automation project, breakeven point between month 3 and 6
The status quo costs more than it looks: an AI automation project typically pays for itself between month 3 and 6 — after that, it's pure savings.

Quick Win

From €2,000

1-2 simple processes

3-5 days

Automation of a key process: invoicing, reminders, notifications. Ideal for testing and proving ROI.

  • Target process audit
  • Complete automation
  • Team training
  • 30 days of support
Populaire

Transformation

€8,000 – €25,000

3-5 processes

3-6 weeks

Multi-department automation with AI. Connects your main tools and eliminates data silos.

  • Complete process audit
  • Custom AI architecture
  • Multi-tool integrations
  • Training + documentation
  • 90 days of support

Full Transformation

Custom quote

Entire company

2-3 months

Complete digital transformation. All departments connected, AI integrated into critical processes.

  • Global AI strategy
  • Unlimited automations
  • Autonomous AI agents
  • Intensive training
  • Priority support 12 months

All our projects start with a free 30-minute audit. ROI is typically achieved in 3-6 months.

See our full pricing grid

AI Automation in France and the Greater Region

We support businesses throughout France and the Greater Region with reinforced local expertise

Alsace & Grand Est

Franco-German expertise for businesses in Bas-Rhin and Haut-Rhin. Industrial SMEs, cross-border services.

Strasbourg (67) • Mulhouse (68) • Colmar • Haguenau

Auvergne-Rhône-Alpes

AI solutions for SMEs in the Lyon and Alpine region. Biotech, textiles, B2B services.

Lyon (69) • Grenoble (38) • Annecy (74) • Saint-Étienne

PACA & French Riviera

AI automation for commerce, tourism and services. Present in Marseille-Aix-Nice.

Marseille (13) • Nice (06) • Aix-en-Provence • Cannes

Occitanie

Tailored solutions for SMEs in the south. Aerospace, agritech, services.

Montpellier (34) • Toulouse (31) • Nîmes • Perpignan

They trust us

Projects delivered by our team — JAIKIN × Azinove Group

« Our WhatsApp requests become structured purchase orders in seconds, on a custom staffing platform. »

DT INTERIM

HR — temporary staffing

« Victor from JAIKIN took over our old website content, enriched it with relevant material without taking up my time — and we are climbing the rankings. Inquiries keep coming in. »

David K.

Managing Director, Kappeler — illuminated signage (since 1962)

« JAIKIN built our property management SaaS: units, accounting, budgets, maintenance and resident portal. »

Sovereign Estate

Real estate — management SaaS

Describe your project — quote within 24 hours

Personal reply from an expert, no commitment.

Victor Gless-Krumhorn

Victor Gless-Krumhorn

Founder & AI Consultant — JAIKIN

AI implementation and automation expert for SMBs and mid-market companies. Works with businesses across France, Germany and Switzerland, from process mapping to production rollout.

Frequently Asked Questions About AI Automation

Most of our projects are implemented in 4-8 weeks. We start with a 1-2 week POC (Proof of Concept) to validate the solution on a real use case before full deployment. Simple automations (email reminders, notifications) can be operational in 3-5 days.

No, and this is an essential point. AI automation frees your employees from repetitive, low-value tasks (data entry, copy-paste, reminders) so they can focus on what AI cannot do: creativity, customer relations, negotiation, strategy. Most of our clients see improved team satisfaction, not reduced headcount.

Absolutely not. We create turnkey solutions with simple interfaces. Your teams use the automation without knowing how it works behind the scenes — exactly like you use Gmail without knowing email protocols. We train your teams and provide ongoing support.

It's our top priority. We use infrastructure hosted in France/EU (OVH, Scaleway), encrypted connections (TLS 1.3), and we never store your sensitive data. For clients with strict requirements, we deploy self-hosted orchestration on your own servers. GDPR and AI Act compliance built in from design.

That's exactly what we recommend. Start with one key process (invoicing, reminders, onboarding), measure ROI, then expand. 80% of our clients who start with a Quick Win add 2-3 additional automations within the following 6 months.

Our automations are modular and easily adaptable. If you switch CRM (HubSpot → Salesforce), we adapt the connections. If a process evolves, we adjust the workflows. This is included in our ongoing support offering.

Basic automation connects tools with simple rules (if X then Y). AI automation adds an intelligence layer: it understands an email to categorise it, analyses a document to extract data, or generates a personalised response. It's the difference between an Excel macro and an assistant that understands your business.

We measure 4 key indicators: (1) Time saved in hours/week, (2) Error reduction in %, (3) Processing times before/after, (4) Cost per process. The dashboard is included in every project. Most of our clients break even within 3 to 6 months.

An AI automation agency designs and deploys systems that take over your repetitive tasks using artificial intelligence: business workflows, AI agents connected to your tools (email, CRM, ERP), document processing, reporting. Unlike a software vendor, it starts from YOUR processes to automate what costs you the most time, and stays technology-neutral. JAIKIN is an AI automation agency based in France that builds proprietary platforms — your data, your flows, no vendor lock-in.

Four criteria: 1) verifiable quantified results (hours saved, ROI), not promises; 2) real technical expertise (LLMs, RAG, orchestration, integration with your information system), not just consulting; 3) GDPR and AI Act compliance built in from the design stage; 4) ownership — prefer a platform you own over a per-seat subscription that locks you in. JAIKIN ticks all four, with a free first audit to validate the value before investing.

AI can automate four main families of tasks: (1) document processing (invoices, contracts, forms, emails) with automatic data extraction; (2) communication (sorting and replying to incoming emails, customer follow-ups, notifications); (3) data flow between your tools (CRM, ERP, accounting) without re-keying; (4) analysis and reporting (summaries, dashboards, classification). As a rule, any repetitive process based on rules or on text is a candidate for automation.

The cost depends on scope. A first targeted automation — a single process such as follow-ups or email sorting — represents an investment of a few thousand euros, while a complete business platform integrated with your information system is priced according to the number of flows and connections. Unlike a per-user SaaS subscription, the development is paid once and the platform belongs to you. We always start with a free 30-minute audit to price your case precisely and estimate the ROI.

Not ready to request a quote yet?

Start with a free AI diagnostic: 30 minutes with an expert to spot 1 to 3 automatable tasks and quantify the gain. No commitment.

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