Agent training
Train your agent like you train your team
Workflows, process docs, FAQ, guidelines, property and company information, the way your best closers actually sell. Everything you would hand a new hire, handed to an agent that never forgets it.
Training material
Kirkstone Leasing AgentWorkflows
Follow-up cadence, reminders, drop-off
Process docs
SOPs, handbooks, lease addenda
FAQ
The questions you answer every day
Guidelines
Tone, limits, what never to say
Property information
Amenities, policies, availability
Company information
Brand, hours, who to reach
Selling techniques
Incentives, objections, upsells
Your agent
Briefed once, then it holds, at every property, every hour
Everything your team knows, in one place. Wherever it happens to live right now.
It tells you what it didn't know
When a prospect asks something the knowledge base can't answer, the agent escalates instead of guessing. Your answer comes back as a suggested entry with the question that prompted it, so approving it once teaches every agent at every property.
Topic
Previous
New
Laundry
Laundry is available on every floor, open 6am–11pm.
Asked: “Is there laundry in the building or in-unit?”
EV charging
Four Level 2 EV chargers in the garage, free for residents.
Asked: “Do you have EV charging?”
Large dogs
Dogs are welcome. Missing: whether dogs over 50 lbs are allowed
Asked: “Can I bring my 70 lb golden retriever?”
Hand it a document, get a knowledge base
Upload the resident handbook, the pet addendum, or the parking policy. The agent reads it, pulls out the facts worth keeping, proposes updates to your property details, and tells you what it deliberately left out. You review it before a single line goes live.
Drop a document
PDF, text, or markdown
Nothing is written to your knowledge base until you say so. Edit any line before it lands.
Review what your AI will learn
The KirkstoneProperty detail updates
Knowledge blocks
Left out on purpose
Suite rents — pricing comes from your unit records, not a document
Staff phone list — not something an agent should ever repeat
One agent per market, not one for everything
A downtown lease-up and a suburban walk-up don't run the same playbook, and a Montréal building doesn't answer in the same language as a Vancouver one. Create as many agents as you have ways of operating, each with its own properties, hours, channels, tone, rules, and workflows, all reading from the same knowledge base.
Sunset Property Group
3 agents13 propertiesOne knowledge base, shared by all threeVancouver Leasing
Leasing · 6 properties
English
24/7
Warm
Lead with the parking incentive on anything above $2,400
Montréal Leasing
Leasing · 4 properties
French, English
24/7
Professional
Answer in the language the prospect wrote in, every time
Calgary Buildings
Building manager · 3 properties
English
After hours
Neutral
Escalate anything that commits spend over $500
The details
Configured to your operation, not a template
Every setting here is per agent, so the way you lease a downtown tower and a suburban walk-up don't have to be the same thing.
Scoped to the right level
An entry can cover the whole portfolio, one building, one floorplan, or a single unit, and the narrowest one wins
Personality you set
Warm, neutral, or professional, so the agent reads like your team rather than a support bot
Prequalification questions
The things you need to know before a tour is worth booking, asked in the flow of the conversation
Prospect tagging
Students, pet owners, relocations, and your own tags applied as the conversation reveals them
Escalation rules
Frustration, a question it can't answer, or a prospect standing at the door all reach a human
Operational hours
Run it 24/7, or only outside the hours your team is actually at their desks
Every language you lease in
The agent answers in the language the prospect wrote in, across every channel
FAQ and guidelines
Set answers for the questions you get every day, and the tone and limits around everything else
Test before it goes live
Run the agent in a sandbox, see how it handles a real thread, and change what you don't like