StorMark 2030: The storage company where AI runs every aisle
What a self-storage business looks like when AI is put to work in every part of it, explained in plain English for owners.
Prepared for D. Brent Wright Jr., CEOBy J. DeVere Cooley · Covenant Systems AIWednesday, Nov 4, 2026
What this means for youThis is a picture of where your business could go, built on the ideas you and your team already put on the table.
01 · Starting lineFrom our July conversations
You're already ahead
You already run stores remotely. The next step is making them smart.
Already built
Virtual offices (VOS)
Cameras and a call loop let a small remote team, Lexi and four teammates, cover roughly 80% of your locations without a full-time person in each office.
Already built
Phones handled offshore
Your Philippines team takes most website calls and fully covers the stores without offices. A Kenya development partner and an Azure contractor are already in the mix.
Already built
A modern system of record
Cubby runs about 90% of daily work and has an open API. Data is already pulled every day into a database.
Friction
Pieces that don't talk
Prorize for pricing, LockerFox and a big Excel sheet for auctions, Teams channels as "buckets," and location inboxes worked by hand.
"There's no grand architecture… there needs to be an architecture to this."Brent, July 2026 walk-through
"My vision is to have 100s of these things."Brent, on growing past your current locations
What this means for youYou aren't starting from zero. The remote model you built is the launchpad. AI is what lets it scale to hundreds of stores.
Location count per our notes (just under 30; "28 locations" in the transcript). Not independently verified.StorMark 2030
02 · The foundationData brain / digital twin
The grand architecture
One brain that knows every unit, tenant and store
A live "deck of cards"
Every unit, tenant, lease and location becomes one live record, built from the Cubby data you already pull daily and backfilled to "the beginning of time."
Every tool reads from it
Pricing, auctions, the front desk and your dashboard all draw from the same facts, so you stop wiring 20 tools to each other one by one.
Built to scale
Adding store #29 or #300 means adding cards to the deck, not building another spreadsheet.
What this means for youOne version of the truth. Ask any question about any store and get the same answer, from one place, every time.
03 · RevenueProrize renewal: June 30, 2027
Your own pricing brain
From a rented pricing tool to a pricing engine you own
Today
Prorize sets street rates and rent increases. By your estimate it costs about $65–70K a year, billed per unit, so it grows as you grow.
The logic is a black box. You can't add your own ideas.
The contract runs to June 30, 2027.
➜
AI-maximized
Watches move-ins, move-outs, occupancy, competitor rates and leads, and suggests rates the way airlines price seats.
Rent increases follow your guardrails: caps, timing, autopay, commercial vs. individual.
You can ask it "why?" in plain English, and it explains.
A sandbox to test your ideas, like using camera views to see how full a unit is (the Harley vs. the pallet of bowling balls).
GuardrailIt runs side by side with Prorize in "shadow mode" and doesn't touch a live rate until its results are proven.
What this means for youYou own your most important lever, revenue, and you make the call on Prorize with real side-by-side evidence, not a guess.
04 · CustomerEvery call, chat & text answered
The always-open office
An AI front desk that never sleeps and never plays Candy Crush
📞 Phone
Answers in a natural voice at 2 AM: unit sizes, availability, how to pay, gate hours. It can take a rental from start to finish.
💬 Web chat & text
The same brain on your website and by SMS, so prospects get answers while they're still shopping.
🎥 Kiosk / VOS
Works alongside your camera offices. AI handles the routine questions, and your team steps in face to face when it matters.
🤝 Clean handoff
Anything sensitive goes to a person with the full story attached, so nobody has to ask the customer to repeat themselves.
Your team's role
Your Philippines and VOS teams stop answering "what are your hours?" and spend their time on saves, upsells and tough situations.
Built-in coaching
Every call can be reviewed and scored automatically, which could replace the call grader your team said isn't accurate.
What this means for youNo lead goes to voicemail and no tenant waits until Monday. Your people handle the conversations that actually need a human.
05 · PropertyThe facility that sees itself
The self-aware facility
Gates, cameras and sensors that notice things for you
Smart gates & locks
Gate access shuts off automatically when an account goes past due and turns back on the moment they pay
Phone-based entry for tenants
Every entry is logged to the unit's record
Cameras that understand
Spots a second lock on a door and starts the notice process
Flags units that look empty: "someone moved out of B-56 and didn't tell us"
Flags people loitering or after-hours activity for review
Sensors in the aisles
Water, smoke, temperature and humidity alerts (especially for climate-controlled units)
Door-open alerts on vacant units
Your "drive down the aisles" idea: estimate how full a unit is to inform pricing
GuardrailPrivacy and tenant-notice rules come first. Cameras watch the property, not the inside of people's units without consent.
What this means for youYour properties tell you what's wrong before a tenant or a walk-through does, across every store at once.
06 · UpkeepFix it before it breaks
Predictive maintenance
From "it broke" to "it's about to need attention"
01 · SNAP
Crew sends a photo
Maintenance sends a photo or a quick voice note, the way they already do in Teams.
➜
02 · SORT
AI files it
It recognizes the store, unit and issue, and opens a work order in the right "bucket." No more digging through chat.
➜
03 · SUPPLY
Parts get ordered
"Randy needs air filters at this location" turns into a draft supply order for someone to approve.
➜
04 · PREDICT
It learns patterns
Gate motors, HVAC and roofs show warning signs. It schedules a check before a failure.
Facility Health Score
Every store gets a simple score covering upkeep, cleanliness and open issues, so Lauren and leadership can see which property needs love first.
Proof of work
Before-and-after photos attach to each job automatically, giving you a clean history for insurance, audits or a future buyer.
What this means for youFewer surprise repairs and angry tenants, and a clear list each morning of what to fix and where.
07 · CollectionsPrevent, then recover
Delinquency prevention
Catch the late payer before they're late
Predict
Early-warning signals
Payment history, a failed card, autopay turned off, a sudden drop in gate visits. AI spots the tenants who are drifting toward late.
Nudge
Friendly, timely reminders
A personal text before the due date, a one-tap pay link, and an offer to switch to autopay. It's a courtesy, not a threat.
Work it out
Options, not just locks
Suggests a smaller unit, a payment date that matches their payday, or a call from your team. A person approves any exception.
The routine notes take care of themselves. "I'm making my payment Thursday" emails get read, noted on the account and answered politely without anyone touching them.
What this means for youMore rent collected the easy way, fewer red locks, and fewer good tenants pushed toward auction.
08 · AuctionsLexi's spreadsheet, retired
Lien-to-auction autopilot
From a giant spreadsheet and 135 photos to review-and-approve
Today (from Lexi's demo)
A large Excel sheet tracks every auction by hand
Maintenance sends lock-cut photos through Teams. Lexi downloads them (about 135 for one unit), files them and uploads them to LockerFox
Lock tag numbers are typed in one at a time
"Two locks on a unit" means a manual notice and a follow-up task
Following each state's lien rules depends on people remembering
➜
AI-maximized
Each state's lien rules (e.g., Georgia, North Carolina) are built in as checkpoints, and a step can't be skipped
Crews send photos to one link. AI tags, checks and sorts them and catches mixed-up sets
Lock tags and LockerFox listings are filled in automatically
Notices, dates and follow-ups go out on time
Lexi reviews and clicks approve
GuardrailLien rules are confirmed with your counsel. A human signs off before any sale goes live, and a full audit trail is kept.
What this means for youAuction days go from hours of clicking to a quick check, with compliance built into the system, not in someone's memory.
09 · Inbox"Everybody's throwing it in the bucket"
Email & insurance triage
An AI mailroom that reads, sorts and files every message
Reads
Every location inbox, every message, the moment it arrives.
Sorts
Payment note, move-out, insurance, maintenance, accounting, complaint. Each one goes to the right team's bucket automatically.
Handles the routine
Sends a polite reply, notes the tenant's account, and closes it. No human needed.
Escalates the rest
Anything sensitive goes to a person with a suggested reply ready to edit.
Insurance & protection
Tenant insurance and coverage forms are pulled out of emails, matched to the right unit and filed to shared storage automatically. Missing coverage gets flagged.
Claims
Damage claims get gathered, organized and summarized for review. A person still decides any payout.
What this means for youYour team's day starts with a short list of what needs a human, not a wall of unread email.
10 · GrowthGet found, get rented
Marketing & local search
Every store shows up first and sounds local
Local search, store by store
Keeps Google listings, hours and photos current for every location
Writes a local page for each store ("storage near Eden, NC")
Gets your stores ready for AI search assistants, not just Google
Reviews & reputation
Asks happy tenants for reviews at the right moment
Drafts thoughtful replies to every review for approval
Spots complaint patterns by store
Smart ad spend
Spends more where units are empty and pulls back where a store is full
Ads and pricing read the same brain, so they never contradict each other
Every lead is tracked from click to move-in
What this means for youMarketing that works on its own to fill your empty units and stops spending where you're already full.
11 · Leadership deskFrom your 7 initiatives
The executive desk
AI helpers for budgets, deals and hiring
Budget Builder
Budgets that build themselves
Starts each store's budget from real history in the brain. Then you ask "what if?" (a rate change, a new hire, a roof) and see the effect immediately.
Acquisition Screener
A deal scout that reads every listing
Reads broker packages and scores each one against your buy box, so you look at the best fits first. It works like the bid-finding tool we talked about, built for storage.
Resume Screener
Hiring help, with guardrails
Organizes applications and summarizes them against the job's real requirements. A person makes every hiring decision.
Fairness guardrails on hiring: it never uses age, race, gender or other protected traits, or stand-ins for them; it gets regular checks for unfair impact (EEOC / adverse impact) and every recommendation is explained; candidates can always get a human review. If it can't be built fairly and defensibly, it doesn't get built.
What this means for youLeadership spends time on judgment calls, not on spreadsheets and paperwork, and the risky areas stay firmly in human hands.
12 · Command centerOne screen for the whole company
The owner's cockpit Illustrative mock-up · not real data
Your whole portfolio on one screen
Ask the brain
"Which stores need my attention this week, and why?"
Store A: sample alert. A gate motor shows early failure signs, and a work order is drafted.
Store B: sample alert. Rate suggestion is waiting for your approval.
Store C: sample alert. Auction batch is ready for review.
Everything else: on track.
Answers in plain English, with a link to the details.
Occupancy trend
ILLUSTRATIVE SHAPE ONLY
Today's work
Leads answered · rentals · payments · auctions · work orders: counted live from the brain.
Initiatives
Every project's status, owner and blockers. "What's in progress? Who owns it? What needs attention?"
Health scores
Each store rated on revenue, upkeep, collections and reviews, sorted worst-first.
What this means for youOpen one screen with your morning coffee and know exactly where your business stands, with no report-chasing.
13 · Day in the lifeA Tuesday in 2030
A day in the life of StorMark 2030 Illustrative scenario
While you sleep, the company keeps running
2:10 AMA mover calls from out of state. The AI front desk answers, explains the sizes, books a 10×20 and sends a gate code. The rental is done before sunrise.
4:30 AMA water sensor trips in a climate-controlled building. The on-call tech gets the alert with the exact unit, and the affected tenants get a heads-up.
6:00 AMThe pricing brain reviews every store, drafts tomorrow's rate moves within your guardrails and waits for approval.
7:15 AMBrent opens the cockpit: three items need him. Everything else is green.
9:00 AMLexi approves an auction batch where photos, lock tags and lien steps are already done. It takes her minutes, not an afternoon.
11:30 AMA tenant who's drifting gets a friendly text and switches to autopay. One less red lock.
2:00 PMThe deal scout flags a portfolio that fits the buy box, with a one-page summary ready for Brent and Josh.
6:00 PMThe day's summary posts itself to the Command Center. Nobody built a report.
What this means for youThe business runs around the clock. Your people's time goes to judgment, relationships and growth.
14 · How we get thereOne safe step at a time
The roadmap
Crawl, walk, run, starting with Phase 0
Phase 0 · Discover
Map it
About 3 weeks
Talk with Brent, Mandy, Lexi, Lauren and finance
Use your leadership time studies to find where the hours go
Connect to the Cubby data (with your Azure contractor)
Deliver a blueprint, a risk list and a ranked plan
Crawl
Foundation + quick wins
First months
The data brain (one source of truth)
Auction autopilot for Lexi
Email & insurance triage
Command Center basics
Walk
Customer & property
Following months
24/7 AI front desk with human handoff
Delinquency prevention
Maintenance routing & health scores
Pricing engine built and shadow-tested against Prorize
Run
Fully AI-maximized
Before the 6/30/2027 renewal and beyond
Own your pricing once it's proven
Smart gates, cameras & sensors
Marketing & local search engine
Budget, deal and hiring helpers
Ready to scale to "100s" of stores
What this means for youEach step has to earn its keep before the next one starts. Nothing big goes live until it's proven, and you can stop at any step.
Sequence follows the July 2026 draft roadmap. Exact timing is set in Phase 0.StorMark 2030
15 · The promiseAI does the work, people make the calls
How we keep it safe
AI does the busywork. Your people stay in charge.
Proven first
Pricing and other high-stakes tools run in shadow mode before they touch anything live.
Human sign-off
Rates, auctions, claims payouts and hiring decisions keep a person on the final click.
You own it
Your data, your rules and your system, not another per-unit subscription.
Built to grow
One architecture, so store #300 is as easy to run as store #3.
The first step
Phase 0: three weeks to map StorMark and draw the blueprint.
Pick the first one or two wins, name a point of contact, and connect the data.
What this means for youYou get the upside of an AI-run company without betting the business. You control the pace, the rules and the final say.