For indoor golf operators

Add an AI assistant for pricing, promos, and demand signals.

Give the assistant weather, time of day, booking demand, historical trends, owner rules, booking controls, approvals, and slow-window promos so pricing decisions move faster with control.

Based in Indianapolis, Sage Foundry builds practical AI assistants for owner-led service businesses that want local support and useful software.

AI drafts. Your team approves. Nothing reaches customers unless your team approves it.

Indianapolis-based Owner-controlled AI First usable version in about 10 business days Clear starter scope Hosted with care

Real AI build pattern

Indoor golf AI assistant

Yours

Recommended session price

Tonight 6 PM
Suggested price $48
Flat-rate compare +18%
Slow window promo $32

Pricing signals

Live inputs
Weather Rainy, 42F
Time of day Peak
Historical utilization 82%
Demand trend Rising

Booking controls

Guardrails
Owner approval Required
Member cap 15%
Manual override On

Before and after

The assistant should match the work, not the other way around.

These pages show the kind of owner-controlled AI assistant Sage Foundry can shape around a business. The first conversation starts with where demand leaks or admin pain slows the team.

Before

Workarounds everywhere

Session pricing was flat or manually adjusted without consistently accounting for weather, demand, slow windows, or historical trends.

After

One AI assistant built for the business

Operators review AI-assisted recommendations with owner-controlled rules, booking controls, caps, approvals, and overrides before prices reach customers.

First usable version

What the assistant can handle first.

The first version is intentionally practical: enough to improve a meaningful revenue or admin motion, learn from real use, and grow without pretending every future requirement is known on day one.

AI pricing dashboard

Weather and demand inputs

Owner approvals

Booking rules

Manual override

Slow-window promo logic

Illustrative ROI

We review the business case together.

ROI examples are not customer claims or guarantees. They are the kind of math Sage Foundry uses to choose a focused first build with you.

01
Fill slow windows

Reviewed against your actual workflow, software spend, and operating cost.

02
Protect peak-hour pricing

Reviewed against your actual workflow, software spend, and operating cost.

03
Reduce manual price changes

Reviewed against your actual workflow, software spend, and operating cost.

04
Explain pricing decisions

Reviewed against your actual workflow, software spend, and operating cost.

Start here

Tell us where AI should help first.

Send the current lead source, sales process, booking flow, quote follow-up, handoff, packet, record, approval, or owner decision this app needs to improve.