AI implementation for the work your team repeats every week
Most AI pilots stall because nobody picked a job for them. We start with tasks, not tools: a repetitive piece of work your people do by hand, automated inside the systems you already use, with the person who used to do it checking the output.
Good first jobs for AI in operations
The best candidates are frequent, rule-bound and boring. A few we look for:
- Documents in
- Reading invoices, packing slips and purchase orders and entering them into the right system.
- Matching
- Checking invoices against purchase orders and receipts, and flagging the ones that don’t match.
- First drafts
- Quotes, customer replies, weekly reports and meeting summaries that a person then edits.
- Search
- Answering staff questions from your own procedures, contracts and manuals.
- Scheduling
- Booking, rescheduling and reminder emails for appointments, deliveries or service calls.
We run it ourselves
Our team built and runs SPARK, an AI research assistant for SIE Society’s members. It answers questions from a library of hundreds of documents and cites its sources. The same team uses AI every day in our own operations.
How we keep it safe
- Business accounts whose terms exclude training on your data.
- Your data stays in your systems or in a workspace you control.
- A person reviews every output that reaches a customer or a ledger.
- A one-page AI use policy your staff can follow.
- Hours saved and errors caught are measured, so you know what each tool is worth.
What we don’t do
We don’t build custom software products or CRMs. We set up, connect and configure tools that already work, and we stay with your team until they run them without us.
Questions about AI implementation
Where should a mid-size company start with AI?
Start with one repetitive task that has a clear owner and a measurable cost, such as invoice entry or weekly reporting. Automate it inside your current systems, keep a person checking the output, and measure the hours saved for a month before choosing the next task.
Is our data safe with AI tools?
It can be, if the setup is right. We use business plans whose terms exclude training on customer data, keep confidential data in systems you control, limit who can use each tool, and write down which data may go into which tool.
Do we need to hire data scientists?
Not for this kind of work. Most operational uses of AI need someone who understands the process, a clear set of rules and a tool that is configured properly. Your existing staff run the tools once they are set up and trained.
Do you build custom AI software?
No. We work with established tools and the systems you already use, and connect them where needed. That keeps the cost down and means you aren’t dependent on us to maintain something we built.
Talk it through with Robert
A 30-minute call is enough to tell whether AI implementation is the right fix and what it would take.