Weeks 1-2
Discovery & Architecture
Scoping workshop with stakeholders. Mapping current processes + identifying intervention points. Technical architecture + chosen stack (always EU-only stack). Privacy assessment + preliminary DPIA if needed.
AI Integrator
In 4-12 weeks, with technical documentation and testing on your data.
We add AI where it is useful: searching company documents, automating document preparation and assisting with business workflows. We work with your existing systems, provide technical documentation and involve the people who will use the tools.
AI integration adds artificial intelligence capabilities to the systems your business already uses, so they can perform specific tasks within your existing workflows. Gitogi delivers these integrations with testing on your data and technical documentation. Data is processed within the European Union.
Four concrete capabilities we integrate into your existing systems.
Ask questions in everyday language about procedures, policies, contracts and customer responses. AI retrieves information from your company documents and cites its sources so you can check the answers.
Typical engagement: 6-10 weeks. Output: AI KB with admin dashboard + integration with your existing systems.
Document templates populated with data from your workflow. Contracts, quotations and customer responses — AI prepares a draft for you to review before use. The aim is to reduce time spent per document; the scope of that saving depends on the process and is estimated during scoping.
Typical engagement: 4-8 weeks. Output: 5-10 active templates + integrated AI co-pilot + approval workflow.
Assistants connected to your business data and workflows: answering questions about orders, stock levels and case files, or preparing drafts for a person to review before use.
Typical engagement: duration agreed during scoping. Output: assistant integrated into workflows + technical documentation + user support.
We connect AI to Odoo and the other systems you use. Bespoke modules and integrations bring AI into your business workflows using your existing infrastructure.
Typical engagement: duration agreed during scoping. Output: AI connected to Odoo and the relevant systems + tested integrations + technical documentation.
A linear path in 4 phases. Precise timing after the scoping workshop.
Weeks 1-2
Scoping workshop with stakeholders. Mapping current processes + identifying intervention points. Technical architecture + chosen stack (always EU-only stack). Privacy assessment + preliminary DPIA if needed.
Weeks 3-6
Iterative development with weekly reviews. Integration with existing systems, activity logging and configuration of usage rules. Testing with your actual business data.
Weeks 7-8
Production deployment with monitoring. Support for the people using the system. Technical documentation to help you operate and maintain it.
On request
An optional monthly retainer for support after deployment: ongoing monitoring, tuning and extensions. We agree changes based on how the system is used and what your workflows need.
In the first scoping week we tell you our boundaries upfront. Better a quick "no" than a project that doesn't work.
If you have a working custom management system, we keep it. We add AI where it creates value. We don't redo from scratch to "modernize" — it's a waste of your resources.
Pre-deploy we map: who is the data controller, what are the legal bases, where is the data stored. Without these answers, we don't proceed. It's not bureaucracy — it's the difference between a deploy that survives an audit and one that doesn't.
We don't build "the AI chatbot" without knowing what purpose it actually serves. Every capability we integrate must have a measurable use case + success KPIs defined pre-engagement.
Deploy always includes: complete technical documentation, code access (if custom), internal team training. We want you to be able to maintain without us. Our mission is your autonomy.
AI changes the content of the work, not just the tools it is done with. For it to have a real effect, the organisation has to evolve alongside it: that is what we call transformative intelligence.
Using AI in your workflows may call for applications, automation or connections between systems. The same team builds the software and integrates the AI, starting with the work you need to do.
Explore bespoke softwareAlready using Odoo, or planning to adopt it? We integrate AI into ERP workflows: searching Odoo data, drafting documents using CRM information and answering questions about orders and stock levels.
Explore OdooAIRA follows four stages: Assessment, Implementation, Results and Autonomy. We assess your workflows, integrate AI and review how it performs. Documentation and support aim to help your team use the system independently.
Explore the AIRA methodfrom the field
Representative scenario: an assistant for company documents, with sources you can check, access controls and answers that still need scrutiny. Data processed in the European Union.
Read the scenario Distribution · ManufacturingA representative distribution and manufacturing scenario: AI prepares drafts from orders, delivery notes and invoices, with ERP checks and human review before entry.
Read the scenario Manufacturing · DistributionA representative scenario: testing forecasts from ERP data against your current method. The pilot runs for eight weeks; wider use depends on the results.
Read the scenarioEvery AI integrator project is a different animal. Tech stack, available data, regulatory constraints of your sector — everything changes the design. That's why we don't publish fixed price lists. The scoping workshop is free (1-2h online). We figure out together if it makes sense, identify the approach, give you a precise proposal with timing and investment.
Request a scoping workshopFrequently asked questions
An AI integration project with Gitogi takes 4–12 weeks. The timeline depends on the systems involved and the condition of your data. The work includes testing with your data and technical documentation.
FAQ 01 / 6
That depends on how the integration is built and which systems receive the data. Gitogi processes data within the European Union, but that does not mean it stays within your own systems. Your project needs to establish what data is transferred, who receives it, how it is used and how long it is retained.
FAQ 02 / 6
Not necessarily: Gitogi starts with the systems you already use. Whether an integration is feasible depends on the data those systems make available and how they can connect to other applications.
FAQ 03 / 6
The way to assess AI is to test it on a specific task using your own business data. Gitogi includes this testing in its integration work. To judge the outcome, you need to define what would make the integration useful, such as removing a manual step or making information easier to find.
FAQ 04 / 6
Responsibility for checking the output should sit with someone who understands the process and can assess the results. Gitogi includes testing with your data and technical documentation. The project needs to establish where human review is required and how errors should be handled.
FAQ 05 / 6
The cost depends on your existing systems, your data and any industry-specific requirements. That is why Gitogi does not publish a price list for AI integration. Estimating the work starts with defining the task and the systems the AI needs to connect to.
FAQ 06 / 6
If the primary AI model fails, your data stays in the EU. Every AI system we deploy follows the same two-level setup as gitogi.com: Claude Sonnet first, with Mistral Large as backup. Both run through AWS Bedrock in the European Union, with Milan as the configured AWS region. If the backup also fails, the system returns an error. There is no third level and no data transfer outside the EU. When you need to establish which model produced a response, an audit record gives you a documented answer.