Prosecution Insights
Last updated: October 02, 2026
Application No. 18/633,024

BUILDING MANAGEMENT SYSTEM WITH GENERATIVE AI-BASED UNSTRUCTURED SERVICE DATA INGESTION

Non-Final OA §112
Filed
Apr 11, 2024
Priority
Apr 12, 2023 — provisional 63/458,871 +1 more
Examiner
CORRIELUS, JEAN M
Art Unit
2159
Tech Center
2100 — Computer Architecture & Software
Assignee
Tyco Fire & Security GmbH
OA Round
3 (Non-Final)
84%
Grant Probability
Favorable
3-4
OA Rounds
3m
Est. Remaining
96%
With Interview

Examiner Intelligence

Grants 84% — above average
84%
Career Allowance Rate
867 granted / 1032 resolved
+29.0% vs TC avg
Moderate +12% lift
Without
With
+12.5%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
29 currently pending
Career history
1059
Total Applications
across all art units

Statute-Specific Performance

§101
22.9%
-17.1% vs TC avg
§103
34.3%
-5.7% vs TC avg
§102
13.9%
-26.1% vs TC avg
§112
15.8%
-24.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1032 resolved cases

Office Action

§112
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . This office action is in response to the claimed amendment filed on May 04, 2026, in which claims 1-20 are presented for further examination. Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicants’ submission filed on June 09, 2026, has been entered. Information Disclosure Statement The information disclosure statement filed on March 17, 2026 and June 11, 2026 complies with the provisions of 37 CFR 1.97, 1.98 and MPEP § 609. It has been placed in the application file. The information referred to therein has been considered as to the merits. Response to Arguments Applicant’s arguments with respect to claims 1-20 have been considered but are moot in view of a new ground of rejection necessitated by amendment. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 1-20 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claims 1, 11 and 17 recite “the plurality of first unstructured service reports comprising unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats”; “configuring, by the one or more processors, a generative Al model comprising a transformer, using the plurality of first unstructured service reports and the outcome data “; and “performing, by the one or more processors using the updated generative AI model, one or more actions with respect to a second service request subsequent to configuring the generative AI model”. It is not clear what the applicant means by unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. How a trained model would use a new service request to identify correlations between unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats. How the unstructured data not conforming to a predetermined format or conforming to a plurality of different predetermined formats perform one or more actions with respect to a second service request subsequent to configuring the generative AI model. How one or more actions with respect to a second service request subsequent to configuring the generative AI model using the updated generative AI model. What is an updated generative AI model that will be used to perform one or more actions with respect to a second service request subsequent to configuring the generative AI model. It is not clear how a generative Al model would be configured to include a transformer using the plurality of first unstructured service reports and the outcome data. Applicants are advised to amend the claims to clarify the ambiguities mentioned above. Claims 2-10, 12-16 and 18-20 are rejected for incorporating the deficiency of their respective base claims by dependency. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. US 2020/0097921 (involved in receiving the historical repair data for first equipment. The processor extracts the features from the historical repair data for the first equipment as training data (142). The processor determines a repair hierarchy including the repair levels from the historical repair data for the first equipment, and trains a deep learning model using the training data as a multilayer model to perform multiple tasks for predicting individual levels of the repair hierarchy. The processor receives a repair request (150) associated with second equipment. The processor utilizes the deep learning model to determine a repair action based on the received repair request.) US 11,108,587 (involved in building data that is received from one or more building data sources. The multiple relationships are generated between multiple entities based on the building data. The multiple relationships has pair of relationships between first entity and second entity. A space graph is updated to store multiple nodes by space graph to represent multiple entities. The data values of the building data is ingested into space graph. The operations performed with space graph are based on both relationships of entity and ingested data value. The new building data is received from building data sources). Any inquiry concerning this communication or earlier communications from the examiner should be directed to JEAN M CORRIELUS whose telephone number is (571)272-4032. The examiner can normally be reached Monday-Friday 6:30a-10p(Midflex). Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Ann J Lo can be reached at (571)272-9767. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /JEAN M CORRIELUS/Primary Examiner, Art Unit 2159 September 16, 2026
Read full office action

Prosecution Timeline

Apr 11, 2024
Application Filed
Jul 01, 2025
Non-Final Rejection mailed — §112
Oct 01, 2025
Response Filed
Dec 16, 2025
Final Rejection mailed — §112
May 04, 2026
Response after Non-Final Action
Jun 09, 2026
Request for Continued Examination
Jun 12, 2026
Response after Non-Final Action
Sep 18, 2026
Non-Final Rejection mailed — §112 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
84%
Grant Probability
96%
With Interview (+12.5%)
2y 9m (~3m remaining)
Median Time to Grant
High
PTA Risk
Based on 1032 resolved cases by this examiner. Grant probability derived from career allowance rate.

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