AI automation agency your processes automated, in your tools
JAIKIN spots the tasks your teams re-key by hand, costs the gain before any quote, then puts the automation into service in the software you already use, with an AI agent only where a rule is not enough: from €2,000 excl. VAT, code delivered.
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Method
What an AI automation agency does, deliverable by deliverable
An agency does not sell you software: it hands you five deliverables, each validated before the next. This is the sequence applied at DT INTERIM and Kappeler.
The costed starting point
Your volumes recorded over a month and the time they cost today, before any development.
A first flow that runs
The priority flow tested with your team, on your real messages, and its edge cases documented.
The automations connected
Your tools connected, every action logged and the human validation points in place.
The cut-over, reversible
The rollback tested, then the code, the access and the documentation handed over.
The before/after measurement
The result in production compared with the starting point, and the next project decided with you.
How it works
Automation by software robot (RPA) or by model: what sets them apart
Where a script follows fixed rules, a model understands natural language, documents and their context, then writes the action into your information system.
At JAIKIN, this is not an isolated chatbot: the solution starts from an event in your business tools and applies a rule or a model as the case requires.
Start with RPA, which replays an employee's clicks, where the process is standardised, then add AI where variability and decision-making require it: RPA for the standard case, AI for the exception. The AI is adjusted from your teams' corrections, and the value shows in hours of re-keying removed, not in the number of connectors. When automation relies on a data lake, our Databricks Consulting & SI partnership extends the chain to the data platform.
Integrations
The tools we connect to each other
Six connections come up in almost every SME, between ERP (Odoo, Sage), CRM (HubSpot, Salesforce), messaging (Outlook, Gmail, WhatsApp) and accounting (Pennylane).
From messaging to orders
At DT INTERIM, purchase orders received by email or WhatsApp enter the recruitment software without re-keying; the exception, the unknown customer and the discount stay human.
From CAD to quotes
At Kappeler, quotes and documents come out without re-keying and CERFA forms fill themselves in; the final price and the approval of the plan stay human.
From PDF to accounting
Reading the invoice, checking the amounts, matching it with the order, accounting entry; any discrepancy goes to validation.
From accounting to reminders
The due date read in accounting triggers the email, with the right attachment; a dispute goes up to a named person.
From ERP to dashboard
CRM and bank data are added, without exports; the AI comments on variances, without producing a figure that does not come from a system.
From the configurator to AI
At Cambacérès, the AI drafts the standard clauses without the model provider retaining any data; every act is reviewed by a lawyer.
Return on investment
Measure the gain before you sign
The gain is costed with your volumes before the quote; at three clients, here is what it became in production.
DT INTERIM — Multi-branch staffing group
HR — temporary staffing13,000 emails a month processed in production.
About 2 FTEs redeployed
Cambacérès — Business law firm
Legal — business lawUnified templates, owned by the firm.
No more missed clauses
Kappeler — Illuminated sign manufacturer (Alsace)
Industry — custom manufacturingPlans and production tickets generated from the CAD, where each facade plan used to be redrawn by hand.
Administrative time divided by three
The formula applied to every quotePayback period = build cost ÷ (monthly gain − monthly running cost)The monthly gain: the hours removed at the fully loaded hourly cost, plus the errors avoided. If the payback period exceeds the likely lifetime of the process, the project does not go ahead; you keep the calculation.
Book 30 minCalculation, context, other projects
An avoided error counts at what it really costs you: credit note, dispute, re-keying. The full cost includes the build, the hosting and the API consumption costed in the quote according to volume, and the maintenance if you choose it. "Indirect" gains, image or satisfaction, never fund a quote.
At DT INTERIM, before the project, temporary workers kept asking the same questions: pay, advances, certificates.
At Cambacérès, routine acts were partly drafted by hand, on templates rewritten for every matter, without any data ever being passed to a third party.
At Kappeler, the workshop had no visibility on its production; it now follows it in real time, and a new market has opened for export, in Germany.
DT INTERIM, Cambacérès and Kappeler are named with their agreement.
Three other projects delivered in production
- At Kappeler, an assistant answers regulatory questions by citing the article of the regulation, not a paraphrase.
- At Kappeler again, an analyser compares each quote with its mock-up: omissions surface before the workshop, not after cutting.
- At DT INTERIM, an AI agent answers Facebook and Messenger messages from candidates and clients, under human supervision.
What nobody will tell you
The world's best model fails on 3 business workflows out of 4
An automation project is not won on the 26 % the model gets right on its own: it is won on the remaining 74 %.
26.0 %
for the best available model, on business workflows
Source: AutomationBench, July 2026
17.0 to 18.1 %
for the other reference models
Source: AutomationBench, July 2026
The remaining 74 %
AutomationBench measures business workflows, not laboratory puzzles.
The remaining 74 % are process specification, data quality, guardrails, error recovery and checkpoints. That is engineering — that is our work, and that is the question to put to anyone who approaches you.
Investment
How much does an automation cost, from the first process to the whole company?
Our prices are published: an audit when the scope is unclear, three tiers after that, and no mandatory maintenance.
AI audit
€2,000 to €5,000 excl. VATWhen the scope is still unclear: your flows costed and a roadmap.
Quick Win
From €2,000 excl. VATA process already identified, 1-2 standard tasks: invoicing, reminders, notifications; training included.
Transformation
€8,000 – €25,000 excl. VAT3-5 workflows across several departments, main tools connected; training and documentation.
Full Transformation
Custom quoteThe whole company: a prioritised portfolio of automations, AI agents under human supervision.
Not sure which tier you fall into? Describe the process: we place it in the grid.
Have my process pricedMaintenance and funding
Maintenance covers fixes, updates and monitoring, as a monthly package; a functional change is priced separately, like a module, on a written scope.
See our full pricing grid (FR)
Funding the scoping: Bpifrance's Diag Data IA
The Diag Data IA funds 8 days of an expert approved by Bpifrance: quote capped at €10,000 excl. VAT, €6,000 excl. VAT left to pay after a 40 % subsidy, for SMEs and mid-caps of 10 to 2,000 FTE. It funds the diagnosis and the roadmap, not the build.
Eligibility and procedure: our guide to the Diag Data & IA (FR). Source: Diag Data IA page on bpifrance.fr, checked on 29 September 2026.
Choosing a provider
What to require from a provider
An AI automation provider is judged by its method and its proof, not by its tech stack; a good one can also tell you when not to automate.
| What to require | Warning sign |
|---|---|
| The scoping of your flows before the technology | A costed quote without an audit |
| Named clients, measured results | Logos with no name and no result |
| Ownership of the code, the access and the data, in writing | A rented platform with no way out |
| A first automation on a single process | An annual framework contract required up front |
When not to automate
When automation is not worth it at your company
Five situations where we advise against automating — even if that means declining the project.
- The task is too rare or too short: less than half a day a month will never pay back its development; a document template or a mailbox rule is enough.
- The process changes every week: automating freezes one version of the process; stabilise first, automate afterwards.
- Your data is not ready: the AI has nothing reliable to read; the first project is a data project. It sells less well, and it is what we cost first.
- The decision cannot be delegated: we automate the preparation of the file, never the decision.
- Nobody will own the system in-house: without a point person, even a non-technical one, we prefer to postpone the project — or first train the manager to steer the subject (FR).
What we are asked
Frequently asked questions
Six answers — open the one that concerns you.
What is an AI automation agency?
A provider that builds your automations, puts them into service in your software and answers for them when a flow breaks; a consulting firm, by contrast, maps and recommends. At JAIKIN, the same team carries out the audit, then builds what it recommended.
How do you integrate an AI agent with your existing tools?
Through the doors your software already opens: its API when there is one, otherwise a dedicated mailbox, a scheduled export or a shared folder. The agent receives rights limited to its task, like a colleague. Software closed to any exchange is spotted during scoping, before the quote.
What happens when the AI gets it wrong?
Where a mistake is costly, the AI does not decide alone: an amount discrepancy, an unknown customer or a discount goes to a named person for validation. Every action is logged, so every mistake can be found and corrected.
How long does AI automation implementation take?
As a rough guide only: a few weeks to a few months, depending on the number of processes and tools to connect. At DT INTERIM, the automated back-office was delivered in 2 months.
Will AI automation replace my employees?
No. It takes repetitive, low-value tasks off your teams' hands — data entry, copy-paste, reminders — so they can focus on what AI cannot do: customer relations, negotiation, strategy.
How do you ensure security and GDPR compliance?
Your data is hosted in France or the European Union (OVHcloud, Scaleway), travels encrypted (TLS 1.3) and is never used to train a model. For strict requirements, we deploy the automation engine on your own servers. GDPR and AI Act compliance is built in from design.
Who delivers
Who will build your automations
No salesperson translating: the two founders scope, build and hand over the system. Technical and business skills, not a subcontracting chain.
Victor Gless-Krumhorn
Founder & Lead Developer
Paris-Dauphine and Le Wagon, formerly at UBS; AI and TypeScript developer.
Patrick Eiermann
Co-founder & Senior Full-Stack Developer
Epitech graduate, 8+ years of software engineering, specialised in Node.js and DevOps.
A direct technical counterpart, from the costed starting point to the cut-over.
They trust us
Projects delivered by the JAIKIN team
« Beyond the quality of the development itself, we valued their expertise on strategic AI and Data topics, with data sovereignty addressed from day one. What truly sets Jaikin apart is their commitment well beyond project delivery. We recommend Jaikin without hesitation. »
Ardo
SaaS — legal sector
« Our WhatsApp requests become structured purchase orders in seconds, on a custom staffing platform. »
DT INTERIM
HR — temporary staffing
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