Most brokerages don’t have an AI problem.
They have a workflow problem.
Sat in an inbox overnight
For small independent brokerages and property-focused firms, I find where leads, follow-up, and deals fall between the tools and build the system that fixes it.
One deal, start to finish
Office
Agent
Client
Where brokerages lose deals:
the work between the tools.
A lead fills out a form at 9pm. It sits in an inbox overnight. By morning they have booked a showing with another agent, and no one on your team knew they were there.
This is for small independent brokerages and property-focused firms where an owner or a small team handles lead follow-up, transaction coordination, and reporting, and a dropped handoff costs a lead, a deadline, or a closing. If you are a solo agent with few moving parts, have an in-house AI or data team, or just want marketing or a website, this isn’t for you.
Agent
Deal details live in too many places
An inspection date sits in one agent’s inbox, the CRM, and a transaction spreadsheet that never agree. The office finds out late, and the deal is suddenly at risk.
Client
The same client updates get written again and again
Every listing change and status update is typed out by hand for each client. When a closing date moves, the client hears it from the lender instead of from you.
Lead
Leads wait for a reply, then for a follow-up
Agents are at showings while new leads sit in the inbox, and follow-up depends on who remembers. Some go to the next brokerage, and it never shows up as a loss.
One workflow
- Leads logged in one place
- Contract dates reach the office the same day
- Leads follow up on a schedule
- Closing checklists match the contract
Your agents’ morning:
who to call, about what, and where the deal stands.
Each agent starts the day with one short brief: who to talk to, what about, and what stage the deal is at. It is pulled from the CRM, the inbox, and the transaction file, so nobody digs for it. The office sees the same list.
I run the same thing in my own business. My CRM tells me which leads to call today and which ones are going cold.
Call first
New lead, last night
Buyer who asked about a three-bedroom listing at 9pm
No reply yet. The listing link and a suggested opener are ready.
Follow up
Showing, yesterday
Couple who toured two homes
Asked about school boundaries. Send the answer and offer a second showing.
Watch the date
Under contract, inspection
Repair request due tomorrow
Nothing in the file yet. The coordinator is copied.
Close it out
Closing, Friday
Final walk-through not booked
A client update is drafted for the agent to send.
AI for real estate brokerages:
time back, leads answered, deals kept.
How this helps a brokerage grow
Every fix ties to something you can count. I track the hours you and your coordinator spend on a workflow before the change and again after it, and how many new leads get an answer the same day. Revenue protected is the bigger prize: the inquiry answered before it calls the next brokerage, the deadline that doesn’t slip, the client who refers you again. I report what the tracking shows, not a figure promised up front.
What I measure
Three measures, each tracked against your own numbers from before the change: leads answered the same day, deals moved to the next stage, and hours your team gets back. I record the starting point before anything changes and report each measure back to you at review points we agree in writing.
Before and after: an illustrative brokerage
An illustrative example, not a client result.
A broker-owner runs a small residential office with six agents and one transaction coordinator. Before: web and portal leads land in a shared inbox, and whoever sees one first calls back, often the next morning. Showing requests arrive by text, email, and phone. Contract dates live in the coordinator’s head and a spreadsheet, and the broker spends evenings checking that nothing slipped.
After: every new lead gets an instant reply and is routed to a named agent. Showing requests land in one place. Each deal has a contract-to-close checklist with an owner for every date. The broker checks one board instead of three inboxes.
What practical AI systems means
Systems that connect the tools you already use: your CRM, transaction software, e-signature, email, calendar, and texts. A new lead gets answered, a deal moves to its next step, and nobody retypes the same update in three places.
Anything that goes to a client can be checked by a person before it sends. Each step gets only the access it needs, and every action is logged.
Who I work with
Small independent residential and commercial brokerages and property-focused firms anywhere in the US, usually with an owner or a small team doing lead follow-up, transaction coordination, and reporting. On the residential side, that’s usually a broker-owner with 5 to 30 agents. A residential office might start with lead response and showings. A commercial office might start with deal follow-up and lease and listing tracking. A property management firm might start with owner reporting. If you are a solo agent with few moving parts, this is probably not a fit.
I’m not a real estate agent. I fix how work moves through an office. Remote across the US, and in person in the Denver metro.
Tools I connect
I start with the tools you already pay for: your CRM, your showing and calendar tools, e-signature and transaction software, email, and texts. I ask for access on day one, not week six, so the system is built on your real setup. If a tool can’t connect cleanly, I tell you and suggest the smallest workaround.
After I leave
You keep plain-language documentation of what was built, how it maps to your systems, and how to use it. The people who use it every day are trained before I step back. The measures above keep being tracked, and we review them together at handoff. If you want someone to keep the system running and current, that is ongoing CRM care.
Tested in my own
business first.
- InventoryLogged
- RestocksListed
- MachinesRefreshed
- AlertsSent
On Point Amenities, a separate business
- Active SKUs106
- Average margin61%
- Products below 45% margin floor0
Before founding On Point AI Consulting, I spent 10 years in cybersecurity, working at Dell SecureWorks, EY, TransAmerica, and a small financial business.
I built Operational Vending Management (OVM) to run On Point Amenities, the separate vending business I operate. It connects inventory, supplier data, and day-to-day operations. This is experience from my own business, not a consulting client case study.
The person you email is the person who does the work.
What OVM runs every day
On Point Amenities, a separate business
Inventory & suppliers
Every stock movement is logged, and supplier invoices are costed by supplier.
Restocks & expiration dates
A load list for each restock, and expiry dates read from a photo of the label.
Machines & locations
Stock level and next restock for every machine, refreshed each morning.
Monitoring & checks
Morning alerts for low stock and quiet suppliers, and a weekly list of what stopped selling.
Built inside a real operating business
A word from my coach
“Justin's ability to come up with a solution for literally every small business issue I've come across has been utterly impressive. He's reliable, always learning and ready to take on any challenge we bring him”
CEO, Jam AI
Jam is Justin’s AI coach and mentor.
How the AI assessment works:
look at the work before picking a tool.
Start with the smallest step that produces a real, usable answer. Then make it part of the everyday.
Step 1
Assess
Understand the workflow, the people involved, and the cost of doing nothing.
Step 2
Prioritize
Compare a process change, an existing tool feature, and automation. Choose the smallest useful option.
Step 3
Build
Design, integrate, test, and refine a system that works in your operating environment.
Step 4
Embed
Document the process, train the team, and measure the outcome.
Three ways to work
Fix one leak
What you get: one broken handoff fixed from start to finish, like new leads answered the same night, built in the tools you already use.
Who it’s for: a brokerage with one clear, costly gap that wants a contained change first.
Rough timeline: the shortest of the three. The written plan sets the dates.
Done at the end: the fix runs on its own, your team knows how to use it, and you can see the before and after.
Pipeline system
What you get: the path from first lead to closing rebuilt as one system: routing, follow-up, contract dates, and a morning brief for every agent.
Who it’s for: a growing brokerage where deals slip at more than one stage.
Rough timeline: longer, delivered in stages so each piece is in daily use before the next one starts.
Done at the end: every stage has an owner and a next step, the office checks one board, and the process is written down.
Ongoing CRM care
What you get: I keep the system running and current: scheduled checks for stale leads, outdated contacts, and missed dates, plus small improvements.
Who it’s for: a brokerage that wants a clean CRM without hiring someone to babysit it.
Rough timeline: month to month, after a build.
Done each month: a short note on what was cleaned up, what was flagged, and what changed.
How it starts
- Paid discovery. A 60-minute session on one workflow.
- Assessment. Fixed scope, fixed price. I look at the work, the people, and the cost of doing nothing.
- Written plan. About two weeks after the call: what to fix first, what to leave alone, and which way to work fits.
- Build. Only if you decide to go ahead, as a separate engagement.
You’ll get a price range on our first call, before I write anything.
Start with your brokerage.
Leave your details for a reply from Justin, or continue with the assistant to talk through one workflow. If it is a fit, the next step is a paid 60-minute discovery session.
Prefer email? info@opconsulting.ai. Justin replies within two business days.
AI Opportunity Snapshot:
see where AI is worth it in about eight minutes.
The AI Opportunity Snapshot scores up to three time-eating jobs on the OPAC 0-3-5 rubric and sizes them from your own numbers. Each job is scored 0 to 5 on five things: how often it happens, what it costs you, how ready the data is, how much judgment it takes, and how much harm a mistake would do. 5 is a strong fit for AI, 3 is workable, 0 is a poor fit. A “not sure” answer is left unscored, never counted as 0. Estimated, not verified, and never a quote. The full file, with the diagnosis and your top AI moves, opens on a paid call.
Run the snapshotBefore we talk:
straight answers about AI consulting.
Six questions worth answering before the first call.
Do we need to be using AI already?
No. Most of the value in an assessment is in the data and the process, not the model. Plenty of good outcomes involve no model at all.
Do you build it, or tell us what to build?
Both. I assess the workflow and can build the agreed system with the people who use it day to day. The assessment gives you a written recommendation. Here is a sample. You can decide whether to proceed with implementation as a separate engagement. Scope, ownership, and handoff are set out in the written agreement.
What does it cost?
It depends on what’s broken and what it costs you today. On our first call you’ll get a price range, before I write anything. The assessment is fixed scope and fixed price, in writing. If you build, you choose from three options: fix one leak, a pipeline system, or ongoing CRM care. Build work is billed at a fixed monthly rate or a value-based fee, agreed in writing up front.
Couldn’t I set this up myself?
Yes, the same way you could change your own brakes. One automation is easy to set up. Keeping it working through every weekend showing and every daily follow-up, for every agent, is the hard part. That volume is why one system pulling it together is worth paying for.
Why not just hire an assistant?
You can. An assistant or transaction coordinator is a full salary plus your time managing them. A system runs the routine checks for the whole team, so your people spend their time on the conversations.
What happens to our data?
For client work, I explain the proposed data sharing, provider, purpose, access, and retention before you approve it. Provider settings and safety logs can limit deletion. Working-copy handling is agreed in writing. On this website, choosing the assistant sends your contact details and messages to an AI provider. Submitting an inquiry stores your contact details and brief in the contact system and sends an internal notification. Keep confidential records and credentials out. The privacy notice explains these website data flows.
Do you work remotely?
Yes. I work with brokerages anywhere in the US, remotely, and in person in the Denver metro. Most of the work is in your systems and your data.
Do you guarantee results?
No. I scope the smallest step that produces a usable answer, and I tell you when AI is the wrong tool. An assessment that says “leave this alone” is a successful assessment.
What’s slowing
your brokerage down?
Tell me about the work, where it gets stuck, and the tools you use.
Book a paid 60-minute discovery session, start with the assistant on this page, or email me directly.