SageCreek AI
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CLIENT WORK

Real engagements. Real outcomes.

A few of the businesses we have audited, built for, and trained — and the results the work is producing. Some clients are named with approval; others are described in enough detail to be credible without identifying them. SageCreek AI is an AI consulting and implementation firm based in Lehi, Utah.

AUDIT + AGENT BUILD

NAMED CLIENT

How Axia Partners cut comp analysis from 80 analyst hours per park to same-day

Real estate private equity — RV parks and outdoor hospitality

Axia Partners: How Axia Partners cut comp analysis from 80 analyst hours per park to same-day

THE PROBLEM

A full comp analysis took 80 analyst hours per park. At Axia's acquisition pace that math broke, and the firm planned to hire two analysts just to keep comps ahead of the pipeline. A portfolio-wide refresh took 21 days, so it rarely got run.

WHAT WE BUILT

We built Axia a comp analysis agent. Browser automation pulls booking and occupancy data, the agent runs the same steps their analysts ran, and it writes up the study. We built it side by side with the acquisitions lead so it matches how the team actually underwrites.

THE RESULT

A park comp now comes back the same day. The full portfolio runs overnight for about $200 a month. The two planned analyst hires came off the roadmap, and the agent is being extended into underwriting.

80 hrs → same-day

per-park comp analysis turnaround

“I don't want to be corny, but this is life changing.”

AXIA PARTNERS, ACQUISITIONS LEAD

Disclosure: Greg Butterfield, Managing Partner at SageCreek Partners, holds an investment interest in Axia Partners in addition to his role at SageCreek.

AI SCORING TOOL + PLAYBOOK

NAMED CLIENT

How Axia Partners cut RV park brand integration from 20 weeks to 4

Real estate private equity — RV parks and outdoor hospitality

Axia Partners: How Axia Partners cut RV park brand integration from 20 weeks to 4

THE PROBLEM

Taking a newly acquired park through brand integration took 20 weeks: website, ad accounts, creative, positioning. One park couldn't even take an online booking. Every week in that queue was occupancy the park never got back.

WHAT WE BUILT

We rebuilt the integration playbook around AI. A scoring tool grades each park across revenue management, dynamic pricing, digital marketing, and guest experience, then calculates the revenue upside of fixing what it finds. Ad creative and site copy now get drafted per park instead of from one template.

THE RESULT

Integration now takes 4 weeks. The ads are park-specific, and the park that could not take a booking online now takes reservations online. Each acquisition reaches full marketing ramp 16 weeks sooner.

20 wks → 4 wks

brand integration timeline

Disclosure: Greg Butterfield, Managing Partner at SageCreek Partners, holds an investment interest in Axia Partners in addition to his role at SageCreek.

AI SCREENING ENGINE

BLINDED BY REQUEST

How a $700M consumer products manufacturer cut category evaluation from months to hours

Consumer products manufacturing, national retail distribution

Consumer products manufacturer: How a $700M consumer products manufacturer cut category evaluation from months to hours

THE PROBLEM

The client's innovation team screens dozens of candidate categories a year, and a single evaluation ran two to three months of analyst work. The pipeline always outran the team.

WHAT WE BUILT

We ran their first category question through our AI screening engine, triangulating market size across research firms, mapping competitors down to SKU count, and mining product reviews for real product gaps. We rebuilt the scoring around the five-gate framework their own research team already used.

THE RESULT

The research lead took the output to the board to a unanimously positive reaction. The company then pointed the engine at a new question: a 20-category screen returned 13 passes, 5 watchlisted, and 2 killed, with finalists scored to one decimal on a weighted model. A category question now comes back in days, not quarters.

$293M

whitespace surfaced the manual process had not priced

Client identity withheld at their request.

DILIGENCE RESEARCH TOOL

BLINDED BY REQUEST

How a PE-backed manufacturer gets acquisition-grade target research in two days

Hardware manufacturing, buy-and-build strategy

PE-backed manufacturer: How a PE-backed manufacturer gets acquisition-grade target research in two days

THE PROBLEM

Pre-deal research is slow and expensive, and the hardest part comes early: knowing what questions to ask before you have earned access to the data room. Sourcing and qualifying ran on founder pattern recognition, which does not scale.

WHAT WE BUILT

We built a diligence research tool that runs dozens of browser agents through four phases: industry economics, company intelligence, competitive synthesis, and people intelligence. A run returns research drawn from over a hundred unique sources, synthesized into roughly a hundred pages.

THE RESULT

The manufacturer's executive team marked up the first synthesis page by page. A PE operator outside the client's own group has since asked SageCreek to replicate a full commercial due diligence, with this output as the benchmark.

2 days

for acquisition-grade target research

Client identity and any live deal activity withheld under NDA.

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