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The difference between having business data and using it effectively can shape how quickly a home builder responds to challenges and opportunities. In this conversation with HousingWire, Zeb Lowe speaks with Chris Graham, president of Constellation HomeBuilder Systems, about how real-time data, accessible reporting and connected building technology can help homebuilders make better business decisions.

Graham discusses the role of data governance in giving teams the information they need while protecting sensitive business details, along with the foundational work required before introducing AI into homebuilding operations. He also outlines practical ways builders can adopt AI to improve decision-making, strengthen collaboration and identify efficiencies. The central takeaway: Building technology delivers greater value when it solves a defined problem and produces results businesses can evaluate.


#HomeBuilderTech #AIinConstruction #DataDrivenDecisions #ConstellationCHS

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Transcript
00:00There's a lot that AI will do for you.
00:02Ultimately, you got to know like where you want to be
00:04and what problem you're trying to solve.
00:08I'm Zeb Lowe, sitting with Chris Graham,
00:10president of Constellation Home Motor Systems.
00:13Chris, thank you for joining me.
00:14Thanks, Zeb. Nice to be here today.
00:17Yes, sir. It's a pleasure to have you.
00:19So let me ask you, where do you see technology
00:21and real-time data having the greatest impact
00:23on how builders make decisions today?
00:27And the second part of that question,
00:29what separates organizations
00:30that are using that information effectively
00:33from those that aren't?
00:35All right. Yeah.
00:36In my position at Constellation Home Builder Systems,
00:39I get to work with builders and our teams,
00:41you know, every day, very frequently.
00:44We're fortunate to have good relationships
00:45with our customers, very open and candid.
00:48They give us a lot of feedback
00:50and we really, you know, value the partnership,
00:53you know, that they, you know,
00:56that we've created, you know, with them.
00:57So part of that means, you know,
00:59helping them, you know, make decisions,
01:02use the data that our systems,
01:04you know, contain and help them manage.
01:08The greatest impact really is making sure
01:10that they have solid data, right?
01:13That the data is clean, that, you know,
01:15it's what I like to call pivot table friendly,
01:17you know, that allows them to use it in an easy way,
01:21allows a regular business user
01:23to access the information and, you know, review it,
01:27come up with, you know, review trends
01:28and make, you know, decisions.
01:30You know, some of the best decisions
01:32are the ones that, you know, can be made quickly.
01:35We really value that part of our partnership
01:40with our builders and certainly, you know,
01:42the solutions, you know, that we provide.
01:45The builders that, I guess,
01:48are effectively using, you know,
01:51the information in the systems
01:52are the ones that make it accessible
01:54to everyone in their organization.
01:56Obviously, there's some sensitive pieces
01:59of information and things
02:01that are only relevant to certain departments.
02:04But, you know, with proper systems
02:06and proper data governance,
02:07which we help our builders,
02:10you know, manage within their systems,
02:12you know, they can make sure
02:12that people have the right information,
02:14that it's secured, you know,
02:17that the right people have it
02:18and that they can, you know,
02:19make the decisions that they need to make
02:21as quickly as possible.
02:22You know, you can imagine
02:23anyone having access to information.
02:27You know, there's a lot
02:27that you can do with AI now,
02:29but really making sure
02:31that you're looking at the right pieces
02:32of the information,
02:33that you're using it
02:35in ways that it's supposed to be used.
02:37You know, that's where we provide value
02:39and we help to make it easier
02:40for our customers.
02:41Yeah, I know that there's
02:43a lot of pressure,
02:44just like in many industries,
02:47for builders to adopt AI.
02:50And I think a lesson
02:51that people are learning
02:52and oftentimes learn too late
02:54is that the quality of the output
02:55is only as good as the data
02:57and the systems behind it.
02:58So before a builder starts layering AI
03:01into its processes or operations,
03:04what foundational work needs to happen
03:06around data quality,
03:08structure, and connected systems?
03:10And where do you see the builders
03:12most often getting that process wrong?
03:16Yeah, look, you know,
03:17there's a lot that people can do
03:19with AI and reviewing,
03:23analyzing data, creating reports,
03:26you know, expecting the AI
03:27to make some decisions,
03:28you know, for you.
03:30Ultimately, you got to know,
03:31like, where you want to be
03:33and what problem you're trying to solve.
03:35You know, there's a lot
03:36that AI will do for you
03:37if you, you know,
03:39just kind of give it some information.
03:40But you really got to know
03:41what you want out of it.
03:43And then when you get a result,
03:45you know, you got to look at it
03:46with, you know, a fine tooth comb.
03:48You got to really understand,
03:50you know, what it's saying, right?
03:51You can't just copy paste that
03:53and expect it to be 100% correct.
03:58So you got to know
03:59where you want to go.
03:59You got to give it
04:00very clear instructions.
04:02And you got to make sure
04:03that, you know,
04:04the responses are relevant,
04:06you know, to your business
04:08and to the problem
04:09that you're trying to solve.
04:10I think builders
04:12and businesses in general
04:14go wrong
04:14when they don't really,
04:17you know, have an expectation
04:19for what they're going to get back
04:21or they haven't thought through
04:22what they'll do
04:22with that information.
04:24Anytime I've used it,
04:26it becomes a pretty iterative process.
04:29You got to set it up correctly
04:30in terms of telling it,
04:31you know, the context
04:32and what you want it to do,
04:33but then really spend the time
04:35to review it
04:35and be aware that,
04:37you know,
04:38hallucinations or mistakes
04:40can be made
04:40and then question those
04:41to get better results.
04:43Fortunately, you know,
04:44again, you know,
04:44within our systems,
04:45we provide a lot of tools
04:48that are meant
04:50to provide home building professionals
04:54with the information
04:55that they need
04:56in a, you know,
04:57fairly structured way
04:58that they can act on it.
04:59So, you know,
05:00if we know how to answer questions
05:02from the purchasing department
05:04or from the sales department
05:05or from the home builder executives
05:07or from the accounting department
05:08and we've put that
05:09into, you know,
05:10some of our AI products.
05:12So rather than, you know,
05:13everyone kind of start
05:14from scratch
05:15and build their own,
05:16you rely on a partner
05:17that can help you,
05:18you know,
05:19probably get 80%
05:20of the way there
05:20and then you can get,
05:21you know, creative
05:22on top of that.
05:23I think that's
05:24an important distinction,
05:25you know,
05:26between the,
05:26I guess,
05:26the practical
05:27and the abstract
05:28application of AI.
05:31So from your,
05:31you know,
05:32experience
05:32and from your perspective,
05:34where should builders
05:34be looking for
05:36practical AI applications
05:38today
05:38and how should they
05:41begin to measure
05:42whether or not
05:43that technology
05:44is actually paying off,
05:47whether it's actually
05:47helping them?
05:48Yeah.
05:48So there's a few things,
05:49you know,
05:49there's a lot of experimentation
05:51going on right now
05:52where people are just,
05:53you know,
05:53trying it out,
05:54trying to do things.
05:54They don't really know
05:55if it's going to work
05:56and so it's extremely
05:57important to understand,
05:59you know,
05:59what the outcome is
06:00or what the response is
06:01and then being able
06:02to evaluate it
06:03to make sure
06:03that it is working
06:04and then,
06:05you know,
06:05and then reinforce that.
06:07You know,
06:08the other thing
06:08I would say is,
06:10you know,
06:10despite all the changes
06:11with AI,
06:13you know,
06:13running a good business
06:14still comes down
06:15to good decision making,
06:17collaboration
06:17and looking for efficiency.
06:19So,
06:20you know,
06:20from a collaboration perspective,
06:22you know,
06:22AI can help you
06:23with,
06:24you know,
06:24better information,
06:25better preparation
06:26for conversations
06:27that you need to have
06:28with a trade
06:28or the potential home buyer
06:30can give you
06:30a lot of background information
06:32or highlight issues,
06:35you know,
06:35that need to be discussed
06:38from decision making perspective.
06:40You know,
06:40we already talked about
06:41having good data
06:42and easy to understand data
06:44that's managed
06:45and,
06:46you know,
06:46that's clean.
06:47So then you can make,
06:49you know,
06:49quick and solid decisions.
06:53You know,
06:53just kind of going back
06:55to the efficiency part,
06:57you know,
06:58ultimately that's a continuous process
07:00for any business.
07:01You got to kind of look
07:02at where you're at,
07:03decide,
07:03you know,
07:04which levers you want to pull
07:05or which problems
07:07you want to solve,
07:07how you want to become
07:08more efficient.
07:10So,
07:11you know,
07:11that really doesn't change,
07:12right?
07:12I think that's how
07:13I look at our business
07:16from a software,
07:18you know,
07:18solution and company perspective.
07:20That's what I'm expecting
07:21of my team.
07:22And I think we should be able
07:24to do things a lot more quickly
07:25than we have in the past.
07:27But ultimately,
07:28it comes down
07:28to those three things.
07:29So I would always be looking
07:31in those areas right now.
07:33All right.
07:34Thanks.
07:34Thank you so much, Chris.
07:35Appreciate you coming on.
07:36Great.

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