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For large organisations

AI systems for large organisations

Within two weeks we build a first working version in your own environment, on real data and alongside the existing process.

Connect your business software with AI.

From Microsoft 365 to Notion, we build applications around the tools your team uses. We check which connections each system supports.

Everyday business tools

  • Notion
  • Slack
  • Salesforce
  • Microsoft Teams
  • Microsoft Excel
  • Shopify
  • Stripe
  • Odoo
  • SAP

95%

95 out of 100 AI pilots at large companies return nothing. Companies that hand the build to a specialist succeed twice as often as companies that try it themselves.

Source: MIT NANDA, The GenAI Divide, 2025

The difference

A classic consultancy

A report after months

Winvent

A working system in two weeks

A classic consultancy

Hourly rates and open-ended billing

Winvent

The price is fixed up front

A classic consultancy

You pay up front

Winvent

You pay after delivery

A classic consultancy

The system decides, or nobody does

Winvent

A person approves every action

A classic consultancy

Licenses and per user fees

Winvent

We maintain the code, with no per-user licence. We fix bugs in our code at no additional charge. Management and maintenance are billed separately; we agree that amount up front.

Where the work sits in a large organisation

Rarely inside one department. An order touches sales, planning and administration, and in between sit the emails, exports and spreadsheets where the time goes. We build one of those handovers as code on the systems already in place, and run it alongside the existing process first.

How we meet your IT requirements

Where possible it runs in your own environment and accounts, with access limited to that one workflow. An NDA and a data processing agreement are standard, and we do not train public models on your data. Every run can be read back: what came in, which steps it took and what went out.

What you have after two weeks

A working first version for one agreed task, on your real data and tested in a separate environment. Then you decide whether it goes live and which process we tackle next.

What a person still decides

Anything that goes out or moves money is approved by a person. The system proposes, a person signs, and when the model is unsure it says so instead of guessing. That is why the first version is small enough to check by hand.

Built with AI and cloud platforms.

What your application needs to do determines the models and infrastructure we use.

AI and cloud

  • OpenAI
  • Anthropic
  • Claude
  • Microsoft
  • Google AI (Gemini)
  • NVIDIA
  • Microsoft AI (Copilot)
  • Azure
  • AWS
  • Google Cloud
Sectors

Where we build today

01

Building services and construction

02

Logistics

03

Cleaning

The office work that comes back every day: work orders, schedules, invoices, time tracking, reporting.

One call, and you know whether it can be done.

A short call about where the manual work sits.