swisscommerce

AI for IT and Technology Teams

IT shouldn't also be your AI department.

AI is landing on the IT team's desk with no plan, no budget and a long list of tools. We take it off their plate and do it safely.

№ 01

What's landing on IT's desk

AI use nobody controls.
Employees use their own AI tools with company data, and IT finds out later.
Code reviews and releases that wait.
Pull requests queue up for a human reviewer and shipping slows down.
Incidents run on chaos.
When something breaks, people scramble across chat threads to figure out who does what.
Documentation nobody has time to write.
Features ship; the docs don't, and knowledge stays tribal.
№ 02

Why your team is stretched

Technology teams were handed AI on top of everything else, without a plan or budget. Meanwhile reviews, incident response and documentation still depend on scarce senior engineers, and internal systems are connected with manual exports instead of real integrations.

№ 03

Control, speed and calmer incidents

Safe, governed AI: approved tools, clear data rules and full visibility into how AI is used.
Faster shipping, same quality: first-pass code reviews, auto-written docs and smoother releases.
Calmer incidents: detection, routing and postmortems handled automatically, so issues get resolved faster.
№ 04

What we build for IT and engineering

01

AI governance setup: approved tools, data rules, access controls and usage logs.

02

Pull request reviewer: checks code for quality, security and tests before a human review.

03

Incident coordinator: detects incidents, pages the right people and drafts the postmortem.

04

Code documentation: generates and updates docs from the codebase.

05

Internal helpdesk: answers common IT and HR questions from your own docs and opens tickets for the rest.

06

System integrations: connects your existing systems so data moves without exports.

07

AI coding enablement: trains your developers to use AI coding tools well.

№ 05

FAQ

How do we control which AI tools employees use?
Approve a set of tools, set data rules and access controls, and log usage. We set this up and maintain it.
Is our data used to train AI models?
No. We use business AI services that don't train on your data, and keep each client's data isolated.
Who maintains the AI after launch?
We can, on an ongoing plan, or we hand it to your team with documentation and training. You own the code either way.
Start with the AI Deep Dive.

$2,500, 10 days, one written plan with the price of building it. You own the plan whether you build it with us or not. Already know what you need? Ongoing engagements start at $3,000/month.