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INTELLIGENCE FABRIC

One record underneath every
decision a portfolio makes

Four systems, four answers, and no way to choose between them. An Intelligence Fabric sits above all of them and resolves the difference, so the recurring calls get made on numbers that hold up.

Scroll to reveal

Schedule a DemoSee how a Decision Machine works

INTELLIGENCE FABRIC

One record underneath every
decision a portfolio makes

Four systems, four answers, and no way to choose between them. An Intelligence Fabric sits above all of them and resolves the difference, so the recurring calls get made on numbers that hold up.

Scroll to reveal

Schedule a DemoSee how a Decision Machine works
SUBSTACK IF Images (48)

A regional operator went to check whether their ILS spend was working. The PMS said $1,480 per signed lease.

The real number was $665.
The gap was attribution the PMS never saw.

 Knowing which figure is real requires a layer above the systems that reconciles what each one separately reports. That layer is an Intelligence Fabric.

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    Autonomous Renter Engagements
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    Hours Added Back to Onsite Teams

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Frame 3826 (4)

The work happens
before the decision

Every month, someone on your team answers the same question about which sources are worth their spend and which get cut. The answer is in the data. Getting to it is the problem.

Almost all of the effort goes into building the number rather than deciding what to do with it. That made sense when collecting data was the hard part. Collecting data stopped being the hard part a while ago, and the software never moved with it.

Three reasons the numbers don't hold up

Every system counts it differently

The PMS counts a lead when the record is created. The CRM counts it when someone works it. The ILS counts a referral it sent. The ad platform counts a click. None is wrong by its own definition, and no two agree.

Nobody can trace where a number came from

By the time a figure reaches a report it has been exported, joined, and reformatted several times. A number that can't be traced can't be defended..

The decision gets made anyway

The budget meeting happens whether or not the reporting is settled. The $665 that looked like $1,480 was one meeting away from cutting a source that was working.

You keep every system you have

An Intelligence Fabric is not another platform to move onto. It sits above the PMS, the CRM, the ILSs, and the ad platforms, reads from each of them, and turns what they separately report into one record that holds up.
 
Stitched System of Record › Multifamily Metrics › Agentic Workflow › Decision Machine › Multifamily's Strategy & Tactics › Intelligence Fabric
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Intelligence Fabric
Multifamily's Strategy & Tactics ›
Decision Machine ›
Agentic Workflow ›
Multifamily Metrics ›
Stitched System of Record ›
Stitched System of Record Multifamily Metrics Agentic Workflow Decision Machine Multifamily's Strategy & Tactics Intelligence Fabric

The same calls, every month,
at every property

Every system in the stack ends at a screen.

The PMS shows occupancy, the CRM shows pipeline, the ad platforms show their own performance. Someone still has to pull it together and decide what to do, and that part has never been anyone's software.

How operators talk about these decisions
Group 5088 (1)
The decision
The question an operator actually asks
Vendor allocation
“Which sources are actually worth it, and which do I cut?”
Budget reallocation
“If I move this budget around, where do I get the most leases for it?”
Spend efficiency
“Can I get the same leases for less, and where am I overspending for nothing?”
Exposure response
“I've got units sitting open and a window to fill them. Where do I put the money?”
Funnel diagnosis
“Where am I losing people in the funnel, and what do I actually do about it?”
Reputation spend
“This property's reviews are hurting us. Is it worth paying to fix that?”

A system built around the decision itself

What Intelligence Fabric makes possible is software that carries a decision the whole way.
That is what we call a Decision Machine.
 
Unify Data — pulls signals from every connected source into one place Unify Data Recommend — the system surfaces a move with the evidence behind it Recommend Auto Approve — high-confidence calls execute without waiting on a person Auto Approve Approve — a person signs off before the system acts Approve Reject — the recommendation is dismissed and feeds back into Learn Reject Execute — the approved move runs through the tools already in use Execute Impact — the result of the move gets measured Impact Learn — the outcome sharpens the next recommendation Learn
Group 5093

Where a Decision Machine shows up in your week

A Decision Machine is a layer, not a product. It lives inside software an operator already buys.
At Hyly.AI it lives in two places.
 
HALO DATA FABRIC

Halo

The Decision Machine inside Halo runs source, spend, and attribution decisions on reconciled cost per signed lease.

AMONG THE DECISIONS HALO RUNS

  1. 1 Which sources keep earning their spend and which get cut
  2. 2 What to do about exposure in the next 60 days
  3. 3 Where a property is losing efficiency against the rest of the portfolio
  4. 4 How budget moves across sources when the numbers change
  5. 5 Where the funnel is actually breaking
See Halo in actions →
HAYLEY EXPERIENCE FABRIC

Hayley

The Decision Machine inside Hayley runs engagement decisions from first inquiry through renewal, on one journey record instead of four.

AMONG THE DECISIONS HAYLEY RUNS

  1. 1 Which prospects get worked next, and with what message
  2. 2 When a prospect is ready to be moved toward a tour
  3. 3 When a stalled inquiry is worth another attempt
  4. 4 Which residents get a renewal offer, and when it goes out
  5. 5 Which channel and timing actually reach a given renter
See Hayley in actions →
10
Halo Data Fabric

From dashboards to decisions. From data to dollars.

One source of truth for every click, visit, tour, and lease — so you can act faster, spend smarter, and prove every decision.
See Halo Data Fabric in action

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What changes when the numbers agree

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The source and spend calls get made on one set of numbers instead of three. When someone questions the figure, there is an answer.

7-Aug-13-2026-05-27-23-1398-AM

Nobody asks you to reconcile the same four systems again. When a number gets questioned, you point at the source instead of rebuilding the chain by hand.

8-Aug-13-2026-05-27-33-0107-AM

No more building the number before the conversation can happen. The recurring calls get made in the meeting rather than after it.

9-Aug-13-2026-05-27-45-3188-AM

Every funded decision has a record behind it. When you ask why the spend moved, the answer takes only a minute.

Marketing Teams

The source and spend recommendations come in already made, with the numbers attached. You say yes, the budget shifts, and next month you can see whether it worked.

Owners & Asset Managers

Every decision has a record. What was recommended, who approved it, what it changed. When you ask why the spend moved, the answer takes a minute.

 

Operations Teams

No more building the report before the conversation can happen. The ten to fifteen hours a month come back, and the call on what to do gets made in the meeting instead of after it.

 



BI & Data Teams

Nobody asks you to reconcile the same four systems again. When a number gets questioned, you point at the source instead of rebuilding the chain by hand.

Two products, one Fabric

Schedule a Demo

Before Hyly.AI, we were manually pulling data from different systems: PMS, marketing tech, agencies, ILSs, just to get a clear picture of performance.


With Hyly.AI's Performance AI and Halo, everything's connected. Their Intelligence Fabric ties our marketing and leasing data together, so we can see the full renter journey from first touch to signed lease. We're not stitching spreadsheets anymore. We're focused on real-time decisions using data.


It's changed how we think about success too. We care less about traffic volume and more about which sources bring in higher-quality conversions. Overall, Hyly.AI has given us real visibility into our prospects' true journey, helping us make smarter decisions on where to put our efforts across the portfolio.

1757511828997
Tyler Holmes
Digital and Marketing Manager · PeakMade Real Estate
PeakMade
PeakMade Real Estate
30,520 total units, 55,000+ total beds
All System
connected into one Intelligence Fabric

The Halo Data Fabric by Hyly.AI has been incredibly valuable to our team. It was simple to set up as we were up and running in no time. The multitouch attribution reporting stands out, because it brings together data from multiple systems to clearly show how our marketing sources work together and influence results.

The Halo reporting tool makes it easy to create shareable PDF reports for stakeholders with just a click.

1628777092025
Holly Schnitzler
Vice President, Corporate Marketing & Training · Simpson Housing
SIMPSON HOUSING
Simpson Housing
More than 23,000 multifamily units, one of the largest privately held residential managers in the nation
1 Click
to generate shareable attribution reports for stakeholders

Hyly.AI's automation is great because it helps target our customers at the exact right times in their journey without having to manually set anything up. The Hyly.AI team is incredibly hands-on. They're a successful, growing company and still always have time for us.

Wynne
Wynne Anderson
Senior Marketing Director · Dweck Properties
DWECKLOGO
Dweck Properties
6,600+ apartment homes in prime D.C. metro neighborhoods, 50+ years of experience
Zero
manual setup — fully automated targeting across the resident journey
Hyly.AI is easily one of the most advanced tech companies in proptech and is currently developing next-level deep data capabilities. They have many indispensable tools for marketers — automation, AI lead nurturing, attribution, data lakes, omnichannel orchestration, and many more.
Daniel-TMA-486_2-1
Daniel Paulino
Industry Principal
Industry Principal
Proptech · Multifamily Real Estate
Indispensable
tools for multifamily marketers in one platform

 

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