Tennessee requires 16 hours of continuing education per two-year renewal cycle: a 6-hour TREC Core course plus 10 elective hours. This course provides 8 elective hours.
Commercial is not residential with bigger numbers. Deals run 90 to 180 days instead of 30 to 60. Leases run 50 to 150 pages. A single underwriting file carries rent rolls with 50-plus tenants and five years of expense history — 10 to 50 times the data density of a residential transaction. And your counterparties have their own analysts. Generic AI training does not address any of it. CBRE Research's 2025 Tech in CRE report puts generative AI adoption at 38 percent of commercial brokerages against 71 percent of residential agents. JLL's 2024 survey found 84 percent of CRE professionals expect AI to change their work within five years, and 22 percent feel prepared. That gap is the opportunity.
What You'll Actually Build
Lease Abstraction
The problem
An 80-page office lease contains 25 to 40 data points that have to be captured before anyone can underwrite the asset: base rent and escalations, term, renewal and termination options with their notice requirements, recapture rights, exclusives, assignment provisions, CAM methodology, TI allowance, holdover terms. Done by hand it is two to four hours per lease. On a 12-tenant building, that is a week of work before you have an opinion of value.
What you build
A repeatable abstraction workflow, plus a ready-made Claude Skill included in your resource hub — no setup required.
The workflow
You upload the lease. The abstraction returns a structured table of all 25 data points, each one citing the lease section it came from, and marking anything genuinely absent as 'Not specified' rather than guessing. You then spot-check the items that move value — rent schedule, term, options — against the cited sections. That verification is ten minutes.
What it changes
The economics of diligence change. Abstracting every lease in a portfolio becomes something you actually do rather than something you sample. McKinsey's 2024 analysis estimates effective AI integration cuts underwriting and document review time by 60 to 70 percent.
2-4 hours → 15-30 minutes per lease, including verification
Off-Market Deal Sourcing
The problem
Sourcing is the whole business. Pulling 50 owners out of Reonomy or CoStar takes minutes; the work is researching each one and writing outreach worth answering. Done properly that is a full day for a single batch, which is why most brokers either send generic mail merges that get deleted or never work the list at all.
What you build
A weekly sourcing routine that turns a raw owner list into researched, prioritized outreach.
The workflow
You feed each owner profile in and get back a one-page brief: ownership tenure, other holdings, LLC filings and public records, news mentions, prior sales and listing history, an estimated value range, and a recommended approach angle — a maturing refinance, a tax consideration, portfolio activity, retirement age. You then work only the 10 to 15 owners whose signals justify a call, with outreach written to open on specific market activity rather than 'I have buyers.'
What it changes
Prospecting shifts from volume to selection. You contact fewer owners with more to say to each one.
50-owner list researched and prioritized in a morning
The course also covers OM generation — cutting a 25-page Offering Memorandum from 15-30 hours to 5-8 — plus BOV structure, tenant credit summaries from public filings, tenant rep targeting, and a verification checklist for everything AI produces before it reaches a client.
This course also covers what AI cannot do. Final pricing decisions, legal interpretation, and fiduciary recommendations stay with you. Every AI output is a first draft — the course includes the verification checklist to run before anything reaches a client.