For CIOs and IT teams
Your IT team stops explaining the same things over and over.
Geni-IT answers internal questions from your documentation, takes over tier-1 support and turns every fix into shared knowledge.
- Answers internal questions in seconds
- Takes on level-1 support
- Relies on your documentation, not the web
- Keeps the knowledge base up to date on its own
Your agent
Geni-IT
Scenario 1 · Employee question
How do I set up the VPN on a personal computer, and is it allowed?
Answer sourced from two documentation articles: it's allowed under certain conditions, the procedure is laid out step by step, and the approval request is pre-filled for the manager.
What changes
What Geni-IT changes in your team's week
Today
With Geni-IT
Today : The same tickets come back every week.
With Geni-IT : Everyday requests solved without escalation, answers sourced from your documentation.
Today : Internal documentation is never up to date.
With Geni-IT : The knowledge base grows with every resolved request.
Today : Tier-1 support ties up the team, even after hours.
With Geni-IT : Tier-1 support available 24/7, with no on-call duty.
Real-world use cases
What Geni-IT does for your IT team
Scenario 2 · Recurring ticket
Twenty tickets this week on the same issue. What should we do?
Common cause found: an update changed an access path. Procedure fixed, knowledge base article written, and an announcement ready to send to the 400 affected users.
Scenario 3 · Project scoping
Write the requirements for our intranet portal redesign.
Structured requirements: scope, technical constraints from your existing stack, security requirements and weighted evaluation criteria, ready to send to vendors.
Everything Geni-IT can do
Support
Level-1 support
Geni-IT handles routine requests — access, passwords, printing, business applications — strictly following your internal procedures.
Incident qualification
Every ticket arrives qualified: scope, severity, affected device and the steps the user already tried.
Escalation to the right expert
Anything beyond level 1 goes to the right team with the context already gathered, so users don't get asked the same questions again.
Knowledge
Sourced answers
Every answer cites the documentation articles it used. If the information doesn't exist internally, the agent says so instead of improvising.
Living knowledge base
Every resolved incident becomes a written, filed article: knowledge no longer walks out the door with people.
Technical documentation
Runbooks, release notes and how-to guides written from your conversations and tickets.
Governance
Request analysis
What takes up most of your team's time, what's rising, what could be eliminated at the source — quantified by reason and by department.
AI usage framework
A single, controlled entry point for AI across the company: no more Shadow AI, explicit access rights and traceable usage.
Project scoping
Requirements, solution comparisons and evaluation criteria written from your existing tech stack.
IT department · mid-market company
“Half of all requests no longer reach us. And for the first time, our internal documentation is up to date.”
IT department
multi-site mid-market company, 1,800 workstations
+50%
of requests resolved without the IT team
100%
of answers sourced from your documentation
24/7
with no level-1 on-call duty
Integrations
Geni-IT works inside your tools, not next to them
No double entry: the agent reads your documentation and ticketing tool and writes to your knowledge base, with each user's access rights.
F.A.Q
Frequently asked questions
How long does it take to get Geni-IT up and running?
Two to four weeks: we index your documentation, connect ticketing and your directory, then pilot with a first group of users.
Does our internal documentation leave the company?
No. Hosting is in Europe, your content stays yours and is never used to train models. Your directory's access rights are enforced document by document.
Can the agent make up an answer?
It's set up to answer only from your sources and to cite the documents it used. When the information doesn't exist internally, it says so and escalates to the right person.
Which AI model does it use?
Whichever fits the task: ChatGPT, Claude, Mistral or DeepSeek. The platform is model-agnostic, so you're never locked into one vendor.
How do you measure ROI?
Through actual usage: requests resolved with no human involved, tickets avoided, time to first response and knowledge articles produced, measured against the investment.
Let your teams try Geni-IT
A demo on your own documentation: we index a real scope and you judge the answers for yourself.
