Question 1

What is Tillzen?

Accepted Answer

Tillzen is restaurant cash management and daily closeout software built for multi-location groups that need controlled store-to-HQ review, same-day variance visibility, and traceable tip accountability.

Question 2

What POS systems does Tillzen integrate with?

Accepted Answer

Tillzen is positioned to fit environments using Toast, Square, Clover, Aloha, Lightspeed, and Oracle MICROS, while keeping the closeout and review workflow as the main implementation focus.

Question 3

How long does implementation take?

Accepted Answer

Most groups start with a focused pilot so they can validate the closeout workflow, proof requirements, and next-morning review motion before expanding to more locations.

Question 4

What size restaurant groups use Tillzen?

Accepted Answer

Tillzen is built for multi-unit and multi-location restaurant operators that need one repeatable closeout standard across stores, districts, and finance reviewers.

Question 5

How does same-day variance detection work?

Accepted Answer

Tillzen compares expected and actual cash during the closeout process, flags over/short issues above threshold, and keeps proof, notes, and sign-off attached so district teams can review them while the context is still fresh.

Question 6

What is included in the 14-day pilot?

Accepted Answer

The pilot is designed to validate live closeout execution, proof capture, exception handling, and the next-morning review queue in a small store group before a wider rollout decision is made.

Store	Indicators	Variance	Status	Due
Store #1041	HIGH VARIANCEATTACHED PROOF	-$142.30	IN REVIEW	12h overdue
Store #1028	REPEATED PATTERN	-$63.10	OPEN	2h overdue
Store #1015	DISTRICT WATCH	-$91.60	OPEN	in 4h
Store #1007	SAFE COUNT	-$38.50	OPEN	in 6h

Restaurant cash control that closes clean, then keeps review obvious.

Make the closeout packet the thing people review.

Resolve while the context is warm.

Open the guide, comparison, or workflow that matches the next question.

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District and finance should start from one readable queue, not parallel follow-up.