AI for facilities services companies. Every work order handled, every client informed.
AI can sort and route incoming work orders, plan preventive maintenance across sites and technicians, turn inspection notes and photos into reports and send each client a clear monthly summary. Modern Thesis helps owners of facilities maintenance and service companies put that to work with the CMMS and field software they already run.
At a glance
- Who it's for: owners, presidents and operations leaders of facilities maintenance, building services and integrated facilities management companies with $10M+ in annual revenue.
- What Modern Thesis does: AI strategy, change management, implementation and ongoing stewardship, from one team.
- How it starts: a strategic assessment that measures how the work moves today and ranks where AI pays first. See the assessment.
- Where: based in the Denver area, with an office at 11001 W 120th Ave, Ste 400, Broomfield, CO 80021. On site across the Denver metro and Colorado, and remote anywhere in the US.
- What it doesn't do: replace your CMMS or work order system, or publish a rate card. Each engagement is priced to its scope after a first conversation.
What makes AI different for a facilities services company?
Facilities services companies run on work orders and service-level agreements. Requests arrive from tenants, property managers and building systems by email, portal and phone, and each one has to be sorted, prioritized and assigned before the response clock runs out. Preventive maintenance has to happen on schedule across many sites. Clients want proof: inspection reports, photos and monthly performance summaries. Much of that is reading, sorting and writing, which AI does well.
Where does AI help facilities services companies?
These are examples of what can be built, not past results:
- Read incoming requests from every channel, set priority against the contract's response times and assign the right technician or subcontractor.
- Plan preventive maintenance across sites, balancing technician skills, travel and equipment schedules.
- Turn technician notes, checklists and photos into inspection and service reports in each client's format.
- Draft each client's monthly report: work orders opened and closed, response times against the SLA, recurring problems and recommendations.
- Spot equipment with repeated work orders and draft a repair or replacement proposal for the account manager.
How does AI help with SLAs?
By watching the clock on every open request. AI can track response and completion times against each contract, warn dispatchers before a deadline is missed and record the result for the client report. That protects the client relationship and any credits tied to performance. The measure is SLA compliance month over month.
What does Modern Thesis do here?
Modern Thesis covers four disciplines with one team. In strategy, Jim Coleman and the team map how the work moves through your company today. In people, we work with dispatchers, technicians and account managers on training and incentives, so they use what gets built. In implementation, our AI specialists and Forward Deployed Engineers build the workflows and connect them to the software you already run. In stewardship, we stay to check accuracy, keep pace with new AI models and report the return against the baseline.
How does an engagement start?
Every engagement starts with a strategic assessment. We sit with the people who do the work, map how it moves through the company today, and measure a baseline on the workflows that matter most: time to assign work orders, SLA compliance, preventive maintenance completion, report hours per site and recurring work orders per asset. Then we rank the opportunities by return and define the first build. If AI won't pay for itself somewhere in your business, we'll tell you.
When is something else the better choice?
If your CMMS already handles triage, scheduling and client reporting well, use it fully first. If the main need is better writing and email, the ChatGPT or Copilot licenses you already pay for may be enough; our comparison of Copilot or ChatGPT and an AI partner walks through the difference.
How Modern Thesis handles this
We put AI to work inside xFusion, the 70-person company Jim co-founded, and then for several of its clients. For a facilities services company, we usually start with work order triage and client reporting, because both are measured every month. Ongoing stewardship has no set end date, and you own your data, accounts, code and documentation throughout.
Questions
Can AI triage facilities work orders?
Yes. It can read requests from email, portals and phone transcripts, classify the problem, set priority against the contract and suggest an assignment for a dispatcher to confirm. Urgent issues such as leaks, outages and safety problems are flagged first.
Does AI replace our CMMS?
No. Keep it. Your CMMS stays the system of record for assets and work orders. AI works around it: getting cleaner requests in, drafting reports and reading the history for patterns. Where the vendor allows, it writes back to the CMMS.
How does AI help with client reporting?
It drafts the monthly report from your work order data: volumes, response times, recurring issues and recommendations, in plain language. Account managers review and send it. Clients get a consistent report, and your team stops building it by hand.