Now in early access

Work Intelligence for Real Estate Operations

Your operating standard, running across every asset. Because in real estate, capacity isn't gated by effort, it's gated by judgment.

The work between systems

A lot of how your business operates isn't captured anywhere.

The decisions, judgment calls, conversations, and relationships that actually run it live in inboxes and operators' heads. The firm runs on knowledge it doesn't own.

Every inefficiency compounds when context is missing.

Asset performance relies on the people managing it.

Performance varies by operator, not by standard.

Teams are digging for context, not making decisions.

The same tasks happen every day, but are handled from scratch each time.

No consistent execution.


SOPs exist, but aren't reliably applied across teams, assets, and regions.

Knowledge walks out with people.


Work disappears the moment someone gets busy, goes out of office, or leaves.

Among the AI noise

Teams are already trying to solve this with AI, but most of it won't compound.

There's a difference between AI that makes individual work faster and AI that codifies how the business runs. Without business context, every tool starts from scratch and breaks the moment reality changes.

General AI

Faster individuals

ChatGPT, Claude, internal copilots.

  • Speeds up individual work
  • Starts from scratch every time
  • No shared business context
  • Knowledge doesn't accrue to the firm
Early automation

Agents as automation

Workflow agents and scripted flows.

  • Built without business context
  • Break when reality changes
  • Need to be rebuilt per edge case
  • Don't compound over time
am:pm

Work Intelligence Platform

Built on how your business actually operates.

  • Captures decisions and exceptions as they happen
  • Applies your operating standard, not generic best practice
  • Gets sharper with every job resolved
  • Owned by the business, not the operator

How it works

Watch how a tenant request moves through am:pm

Rachel Kim wants to renew her lease, but only if the make-good requirement is waived. In most firms, this becomes a half-day of digging. In am:pm, the context arrives with the work.

1. Capture

Every channel

Email, SMS, and voicemail land in the same place. The conversation history with Rachel is already attached before anyone reads the request.

2. Surface

Context arrives

Before Alex types a word, am:pm has read the lease, surfaced the prior decision, and identified what needs owner approval.

3. Execute

The draft is already written

am:pm composes a response in your voice, grounded in lease terms and prior decisions. The team reviews and approves, instead of drafting from scratch.

4. Monitor

Work becomes a job

The renewal becomes a job that moves forward on its own. Capacity, SLAs, and compliance status are visible across the portfolio.

Inbox · 14 unread
RK
Rachel Kim
Make-good requirement · Suite 1400
9:14
JR
Jordan Rivera
Renewal — Unit 3B
Mon
DC
Dan Carrington
Local Law 97 — compliance obligations
Fri
TB
Tom Bassett
Outgoings dispute — electricity
Wed
Voicemail · Daniel Cho
0:37 · 6 days ago
"I think we'll renew, but we're also looking at two other options."
am:pm · Surfacing context
Topics identified
Renewal terms · Make-good · Negotiation
Lease agreement
Make-good obligation found · Section 5
Team memory
Similar waiver approved for a three-year extension
!
Approval required
Owner approval needed before waiving make-good obligation
In progress
47
+8 this week
Resolved (7d)
12
↑ 38%
Awaiting input
7
↓ from 18
SLA (30d)
97%
2 at risk
Renewal
Rachel Kim · Term renewal
12 Riverside Tower · Suite 1400
Day 4
AR
Capex
HVAC replacement
200 Queen St
Day 22
BC
Onboarding
Acme Legal · move-in
Suite 12 · 200 Queen St
Day 9
MR
Commercial lease agreement
Northshore Analytics · Suite 1400
  1. Parties
  2. Premises and term
  3. Rent and outgoings
  4. Make-good obligations
"Tenant must complete all make-good obligations unless otherwise waived by written owner approval prior to the commencement of the renewal term."
⚑ Make-good obligation identified
The platform

One layer, three jobs, applies as work happens.

am:pm sits alongside your PMS, inbox, and documents. Knowledge gets captured, communication gets context, and work becomes a job that finishes.

Encoded operating standard.

Documents, SOPs, and operational context aren't just stored. They're applied as work happens.

Stand opperating procedures

Playbooks for renewals, move-outs, compliance, onboarding. How your best operators run a process becomes how the business runs it.

Memories, decisions and exceptions

Decisions, rules, and preferences captured the moment they're made, reused when similar situations arise.

Documents and source materials

Leases, legislation, compliance certificates, correspondence, building specs, pulled in automatically.

Work arrives with the context.

Every request lands in one place. Before your team acts, am:pm surfaces the relevant context and drafts a response.

Shared communication hub

No forwarded threads, no siloed inboxes, no doubling up on responses. One view for the whole team.

Drafts grounded in lease and history

Before you write a word, am:pm drafts a response drawing on the full history of the tenancy, property, and prior conversations.

Email, SMS and voicemail in one thread

Every conversation your team has with tenants and vendors, in one place.

Multi-step work, end to end.

Arrears, onboarding, compliance, vendor coordination. Work becomes a job that moves forward until it's complete.

Repeatable job templates

The right documents, history, and prior decisions are pulled in automatically so work can start with full context.

Tasks, approvals, escalation paths

Tasks, responsibilities, and required steps are captured once so work isn’t rebuilt every time.

Work stays connected

Correspondence, documents, and records stay attached to the job so nothing gets lost as work progresses.

WHAT CHANGES

When operating standard runs the work.

This is a different operating model. Performance across the portfolio becomes a function of the standard the business runs on, rather than tracking back to whichever operator picked up the work.

Capacity per operator goes up.


The same team handles more of the portfolio. Your team moves from gathering context to making decisions, because the context is already in front of them.

Complaince is accouted for everytime.


The same situation gets handled the same way across every asset and every operator. No more discovered too late surprises.

Turnover stops being a setback.


Knowledge stays with the business. New operators pick up where the leaver left off. Onboarding becomes weeks instead of months.

NOI improves across the board.

Faster decisions, better-handled exceptions, and fewer dropped balls translate to revenue retention and lower operating overhead at the asset level.

Built by the team behind Re-Leased

10 years inside real estate operations.

am:pm is built by the team behind Re-Leased, one of the world's leading commercial property management platforms.

Built by the team behind Re-Leased

Over a decade inside real estate operations, now focused on the work that happens outside the system.

Al-native architecture

Every capability is designed around Al, not retrofitted onto a traditional software base. The intelligence isn't a layer on top. It's structural.

Proven onboarding and implementation

The same onboarding rigour and support infrastructure that ReLeased customers globally rely on - applied to getting your team live on am:pm and seeing outcomes fast.

Enterprise-grade trust

Built for the standards real estate demands.

Property data is sensitive. Leases, communications, financial records. When AI operates on this material, you need certainty about how it's handled. am:pm is built with that expectation from the ground up.

Encrypted at rest & in transit

Encryption at every layer. Storage, transfer, and access.

Never used for model training

Your portfolio content is never used to improve any AI system.

Role-based access

Granular permissions across teams, properties, and functions.

Full AI audit trail

Every AI draft, response, and suggestion is logged and traceable.

Procurement ready

ISO 27001 certified, SOC 2 Type 1 attested, data residency available.

BUILT TO COMPOUND

Two firms in your market today look identical, in eighteen months they won't.

1

Lease interpretation and tenant requests

When a tenant makes a request, am:pm surfaces the relevant lease clauses, prior communications, and how similar situations were previously handled - before you've written a single word of your reply.

2

Vendor coordination and operational issues

Long email threads with vendors create operational knowledge that typically disappears into individual inboxes. am:pm keeps that history accessible and searchable across the whole team.

3

Responding to operational exceptions

When an unusual situation arises, operators can see how similar situations were resolved previously and apply that context immediately without escalating or asking a colleague.

4

Knowledge transfer and operator onboarding

New operators access the context behind prior operational decisions from day one. Onboarding that used to take months of shadowing now happens through the workspace itself.

See how am:pm fits in your operations

The firms that solve this will operate with more capacity and consistency without adding headcount. The window to establish that advantage is open now.