Your AI team, deployed to you.
For mid-sized companies, institutions and public bodies with real processes and limited time to modernize them. We embed with your team and fix one process at a time.
Discovery sprint
We interview your staff, map one department's processes, and give you a ranked list of where AI agents would save the most time at the lowest risk.
- Staff interviews and process maps
- A baseline: hours spent, errors, wait times
- Ranked opportunities, with the risks of each
- A fixed quote for a pilot, if you want one
Agent pilot
One process, one agent. We build it around the tools you already use, with approval steps and pass and fail checks agreed before we start.
- A working agent on a real process
- Approval steps for your staff
- A log of every action the agent takes
- Before and after numbers
Managed agents
We run, monitor and improve your agents, report the hours saved each month, and move on to the next process once the last one is proven.
Team training
Hands-on workshops that get your staff using AI tools safely in their own work. More on learning.
Where agents help most
The best first projects are repetitive, rule-based, and take up hours every week.
- Sorting and routing inquiries from email and web forms
- Scheduling, absence coverage and shift filling
- Invoices, bills of lading and other paperwork
- Work orders and maintenance requests
- Compliance renewals and deadline reminders
- Reports, summaries and meeting notes
We work inside Microsoft 365, Google Workspace and the systems you already have. We don't ask you to replace them.
What it looks like in practice
Three common starting points. Pick one and watch the agent work through a typical day.
Paperwork handled before the trucks roll
Bills of lading, delivery receipts, driver documents and carrier invoices pile up, and dispatch spends its day on the phone.
The agent reads and enters shipping paperwork, flags mismatches, tracks compliance renewals, and answers routine "where's my shipment" questions.
- Read 42 bills of lading and delivery receipts, entered them, flagged 3 mismatchesSent to Mark
- Flagged 2 driver licences and the CVOR certificate due for renewal within 30 daysSent to the safety lead
- Matched 18 carrier invoices to loads and queued them for paymentApproved by Finance, 1:10
- Answered a customer's shipment status question with the current ETAPre-approved reply
Requests turned into work, not email chains
Maintenance requests, supplier follow-ups and safety reports live in inboxes and on paper, so things slip.
The agent turns requests into work orders, chases late supplier confirmations, and drafts incident reports from floor notes.
- Turned 8 maintenance emails into work orders with machine IDs and priorityApproved by Steve, 7:40
- Chased 3 suppliers who hadn't confirmed this week's purchase ordersApproved by Anita, 10:05
- Drafted a near-miss report from the line supervisor's notesSent to the safety committee
- Summarized the shift: open work orders, late deliveries, downtimeShared with the plant manager
Tenant requests sorted by what matters
Tenant requests arrive by text, email and phone, and an urgent leak can sit behind ten routine questions.
The agent sorts every request by urgency, books the right contractor, and answers routine tenant questions from your policies.
- Sorted 27 tenant messages. Flagged a ceiling leak in Unit 4B as urgentSent to on-call manager
- Booked a plumber for 4B and notified the tenantApproved by Nadia, 8:22
- Answered 12 questions about parking, laundry and garbage from building policiesPre-approved answers
- Listed leases ending in 90 days and drafted renewal noticesApproved by Nadia, 2:45
Illustrative examples. Names and numbers show how the work flows, not results from a specific client. Hiring with AI? Since January 1, 2026, Ontario employers with 25 or more employees must disclose AI use in publicly advertised job postings.
Clock out on time. The paperwork is done before the shift ends, so everyone goes home when it does.