Automate your workflows: your repetitive tasks handled by AI
Partner IT Group automates the repetitive tasks of SMEs: data entry and re-keying, processing emails and documents, follow-ups, reconciliations, reporting. We analyse one process with your teams, measure the time you can recover and set up the most profitable automation, with AI agents built into your tools and a person who stays in control of exceptions.
Who we help and the problems we solve
- People re-key data from one tool to another every week.
- Emails and documents (orders, invoices, requests) are read and handled one by one.
- Customer or supplier follow-ups take time and are sometimes forgotten.
- Dashboards and reports are rebuilt by hand.
What we deliver
- An automation review: the process mapped step by step, the estimated time savings and the assumptions behind them.
- The right solution for each step: a setting, an existing connector or an AI agent.
- AI agents built into your tools (email, ERP, CRM, spreadsheets).
- Human checkpoints: approval and handling of exceptions.
How we work
- 01Map the process
Who does what, in which tool, how often: we describe it with your teams, step by step.
- 02Choose the right tool
A scheduled export, an email rule or a built-in ERP feature is sometimes enough. AI agents are kept for unstructured documents, emails that need interpreting and decisions whose rules are difficult to formalise.
- 03Keep people in the loop
For each automation, we define what your team approves and how exceptions come back to it.
- 04Measure the time recovered
We start from the time spent each week and the size of the team, with explicit assumptions, then measure once it is in place.
Start with the free audit
Answer a few questions in 2 minutes. A consultant reviews your request, our AI agents analyse it and an expert reviews the report before it is sent. Free, with no commitment.
Start my free audit Talk to an expertFrequently asked questions
Do you always need AI to automate a task?
No. Many tasks can be handled with a setting, an existing connector or a feature already in your tools. We keep AI agents for the cases where they help: unstructured documents, emails that need interpreting, decisions whose rules are difficult to formalise.
What is left for our teams to do?
Approval and exceptions. For each automation, we define what a person checks and how special cases are passed back to them: your teams focus on what requires judgement.
How much time can we recover?
It depends on the process. We estimate it from the time spent each week and the size of the team, writing down our assumptions, with no promise of a single figure. The free audit gives a first estimate.
What should we watch out for?
The quality of input data, access rights to the tools, double entry that hides a master data problem, and dependence on an automation provider. We examine them before building.