AI agents that do real work, inside limits you set, with proof of every decision.

Every fire inspection report is a record someone will rely on.

At NY Fire Consultants, inspection reports are reviewed before they are filed. MuSIC™ compares each report with the photos and video behind it, checks findings against the fire code edition in force and the firm's own standards, and sends anything skipped, missing or inconsistent to a reviewer. A person decides every flagged item, and the basis is recorded. Nothing is filed until every flagged item is resolved.

• Skipped checks caught before filing
• Findings supported by photo or video evidence
• Citations checked against the code edition in force
• Reports corrected before vs after filing

1. InspectionThe inspector submits the report with photos and video
2. AgentCompares what the report says with what the photos and video show
3. Your rulesChecks each finding against the code edition in force and your standards
4. PersonA reviewer resolves every flagged item
5. RecordedFiled after review, with the evidence and basis on record

Most service customers are never offered a price for their car. A third of them want one.

The valuation tools exist. What most groups lack is the decision: who can make the offer, how high, who approves the exception, and the same answer at every store. Here is how it is designed to run.

• How many cars did we buy from our own service lane this month?
• What did that cost compared with auction?
• Which stores are making offers, and within what rules?
• Which exceptions were approved, by whom, and why?

Source: Cox Automotive Service Industry Study, 2025.

1. Repair orderA 2019 pickup, 62,000 miles, arrives with a $3,400 repair estimate
2. AgentValues it against live market data and flags it as a car you would buy
3. Your rulesGroup policy caps the offer at $24,000 for this model and age
4. PersonThe customer asks for $25,500. The used car manager gets the exception with the numbers in front of them
5. RecordedApproved at $24,500, with the data, the rule and the reason on record

Illustrative figures. Not a customer result.

Transfer students lose, on average, 43% of the credits they have already earned.

Every lost credit is a decision. Here is how it is designed to run: agents read the transcript and propose the match, your rules decide what counts, faculty rule on every exception, and every credit, accepted or not, carries its reason.

• How long does a student wait for a decision?
• How many credits were accepted and denied, and why?
• Which exceptions did faculty decide, and on what basis?
• Do equivalent courses get the same answer every time?

Source: U.S. Government Accountability Office, GAO-17-574 (2017), students who transferred 2004 to 2009.

1. TranscriptA student transfers in with 48 credits from a community college
2. AgentMatches 41 of 48 credits to your catalog and flags 7 it cannot resolve
3. Your rulesYour credit-age and grade rules apply; 3 of the 7 fall outside them
4. PersonFaculty review the other 4 with the course descriptions side by side
5. RecordedThe student sees a decision and a reason for every credit, with the rule and reviewer on record

Illustrative figures. Design target: a decision in one business day.