AI for facilities and building services. Reports and schedules that keep up with the buildings.
AI can turn inspection and commissioning field notes into finished reports, read building automation and meter data for problems worth a visit, and keep service schedules and work orders current. Modern Thesis helps owners of facilities services, commissioning and building performance companies put that to work with the systems they already use.
At a glance
- Who it's for: owners, presidents and operations leaders of facilities services, commissioning and building performance 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 building automation system, stamp engineering work, or publish a rate card. Each engagement is priced to its scope after a first conversation.
Who is this page for?
This page is for the people who run companies that keep commercial buildings working: facilities maintenance and service providers, commissioning agents and building performance consultants. The work produces a constant flow of documents and data: inspection reports, work orders, functional test results, trend logs and energy reports. Clients and regulators want more of it. In Colorado, large buildings now face benchmarking and performance rules from both Denver and the state, which adds reporting work. The people who can do it well are hard to hire.
Where does AI help?
AI helps most where field work turns into paperwork and where data piles up faster than people can read it. Three areas are common:
- Inspection and commissioning reports: turn field notes, checklists, photos and test results into the firm's report format for review.
- Building data analysis: read trend logs, meter data and alarms, and flag the patterns that point to a real problem.
- Service scheduling: plan preventive maintenance and service calls across sites, technicians and contracts, and keep clients informed.
Which kinds of companies does this cover?
Each has its own page: facilities services and commissioning and building performance. These pages explain how AI applies to each. They are not a claim that we specialize in any of them.
What does Modern Thesis do for a company like this?
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 technicians, commissioning agents and engineers 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: report hours per site visit, days from visit to report, work order backlog, preventive maintenance completion and analyst hours per building. 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 or analytics platform already produces the reports and alerts you need, use it fully first. If one fault detection product covers your data, buy it. 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. We start where field work turns into paperwork, because that's where the hours go. Ongoing stewardship has no set end date, and you own your data, accounts, code and documentation throughout.
Questions
How do facilities companies use AI?
Mostly to turn field work into reports faster and to read building data at scale. Inspection notes, photos and test results become draft reports for review, and trend and meter data get screened for problems worth a technician's time. Scheduling across many sites is the third common use. The technical judgment stays with your people.
Can AI read building automation data?
It can screen it. Trend logs and alarms from building automation systems are too much for people to read line by line. AI can flag patterns such as simultaneous heating and cooling, schedules that don't match occupancy or sensors that drift, and explain why each flag matters. An engineer decides what to do.
Does Modern Thesis specialize in facilities?
No, and we don't claim to. These pages explain how AI applies to facilities and building services work. What we bring is a method: map how work really moves, measure it, build what pays first and stay to keep it working.