Prosecution Insights
Last updated: April 19, 2026
Application No. 18/120,179

SYSTEM AND METHOD FOR INTELLIGENT PREDICTION AND IMPLEMENTATION OF DYNAMICALLY CHANGING REQUIREMENTS RELATING TO INCOMING NETWORK REQUESTS

Non-Final OA §112
Filed
Mar 10, 2023
Examiner
TRAN, QUOC A
Art Unit
2145
Tech Center
2100 — Computer Architecture & Software
Assignee
BANK OF AMERICA CORPORATION
OA Round
1 (Non-Final)
80%
Grant Probability
Favorable
1-2
OA Rounds
3y 4m
To Grant
99%
With Interview

Examiner Intelligence

Grants 80% — above average
80%
Career Allow Rate
590 granted / 735 resolved
+25.3% vs TC avg
Strong +29% interview lift
Without
With
+29.4%
Interview Lift
resolved cases with interview
Typical timeline
3y 4m
Avg Prosecution
21 currently pending
Career history
756
Total Applications
across all art units

Statute-Specific Performance

§101
21.8%
-18.2% vs TC avg
§103
43.1%
+3.1% vs TC avg
§102
6.2%
-33.8% vs TC avg
§112
10.2%
-29.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 735 resolved cases

Office Action

§112
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 . DETAILED ACTION This is Non-Final Office Action in responses to Patent Application filed 03/10/2023. Claim(s) 1-20 are pending; Claim(s) 1, 8 and 15 are independent claims. In addition, in the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. Information Disclosure Statement A signed and dated copy of applicant’s IDS, which were filed on 10/26/2023, is/are attached to this Office Action. 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. Claim(s) 1, 8 and 15 recite the limitation said, "determine that the entity system associate with an entity..." and “extract cataloged requirements stored in the requirement catalog..” in claim(s) 1, 8 and 15. There is/are insufficient antecedent basis for this limitation(s) in the claim(s). Regarding dependent claim(s) 2-7, 9-14 and 16-20, is/are similarly rejected along the same rationale. Allowable Subject Matter Claim(s) 1-20 would be allowable if rewritten and/or amending to remedy the 112 rejections presented in this Office Action. Reason for Allowance Under the broadest reasonable interpretation of the claimed limitation which is consistence with the Applicant's Specification, the prior arts of recorded when taken individually or in combination do not expressly teach or render obvious the limitations recited in claim(s) 1, 8 and 15 when taken in the context of the claims as a whole, especially the concept, “.... for intelligent prediction and implementation of dynamically changing requirements relating to incoming network requests, the system comprising: a network communication interface ...wherein ...the entity system associated with an entity received a user request from a user; and establish a secure communication link with the entity system; that extract, via a requirement evaluator, through the secure communication link, wherein the user request that requires a requirement evaluation; that predict, via a requirement predictor, the requirements that are associated with the part of the user request; then extract cataloged requirements stored in the requirement catalog; and evaluate the requirements and the cataloged requirements extracted from the requirement catalog; wherein determine a real-time deviation between the requirements and the cataloged requirements; and provide a solution for the real-time deviation...” as claimed and supports in the current specification (USPGPUB US202403032790- Para(s) 45-50, also see Fig. 5. In addition, neither a reference uncovered that would have provided a basis of evidence for asserting a motivation, nor one of ordinary skilled in the art before the effective filing date of the claimed invention, would have combined them to arrive at the present invention as recited in the context of independent claim(s) 1, 8 and 15 as a whole. Thus, claim(s) 1, 8 and 15 is/are allowed over the prior arts of record. Also, dependent claim(s) 2-7, 9-14 and 16-20 are also allowable due to its dependency of independent claim(s) 1, 8 and 15; if rewritten and/or amending to remedy the 112 rejections presented in this Office Action. Any comments considered necessary by applicant must be submitted no later than the payment of the issue fee and, to avoid processing delays, should preferably accompany the issue fee. Such submissions should be clearly labeled “Comments on Statement of Reasons for Allowance.” Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Nickson et al.,(“ US 20220084511 A1” filed 07/2/2021, relates to systems and processes for creating and updating natural language models are provided. An example process of creating a natural language model includes, at an electronic device with one or more processors and memory, receiving an utterance, associating an action structure with the utterance, determining a plurality of augmented utterances based on the received utterance, creating a natural language model including the received utterance and the plurality of augmented utterances by mapping the plurality of augmented utterance to the associated action structure, and providing the natural language model including the received utterance and the plurality of augmented utterances to a second electronic device... [the Abstract]. Killoran et al.,(“ US 20240283782 A1” Continuation of 16/649,127 filed 03/19/2020, relates to system and method for providing vendors an alternative to a password-based security system. The system and method also allows vendors to manage secure transactions by leveraging various message authentication techniques while allowing the vendor full control over related processes such as payment processing and fulfillment. The system and method also monitors message requests from customers for the vendor to guarantee that the communication has not been compromised. Consolidating the authentication of users to their messaging minimizes the need for each individual vendor to maintain their own password for access to a customer account. This eliminates the requirement that customers generate a password thus increasing convenience and decreasing security risks associated with the use of passwords. This decreases risk not only for customer and vendor but also decreases the risk exposure across the internet-as the system scales... [the Abstract]. Mathews et al.,(“ US 20190025782 A1” filed 09/27/2018, relates to system determines a usage pattern of the electronic devices for each of a plurality of known users within a premise. For each of a plurality of first users of the known users, the system determines a correlation factor of the usage pattern. The correlation factor includes a state of a plurality of states of the first user including an activity of the first user. The correlation factor indicates a degree to which uses of the electronic devices are correlated with the state of the first user. The system generates, for the first user, an operational profile and causes operation of the electronic devices in accordance with the operational profile... [the Abstract]. Liu et al., NPL (“ Blockchain and Machine Learning for Communications and Networking Systems” Published 2020 By IEEE, 40 pages , relates to the complex and heterogeneous of the communications and networking systems...wherein, the large volume of data and massive end devices may bring serious security, privacy, services provisioning, and network management challenges. In order to achieve decentralized, secure, intelligent, and efficient network operation and management, the joint consideration of blockchain and machine learning (ML) may bring significant benefits and have attracted great interests from both academia and industry. On one hand, blockchain can significantly facilitate training data and ML model sharing, decentralized intelligence, security, privacy, and trusted decision-making of ML. On the other hand, ML will have significant impacts on the development of blockchain in communications and networking systems, including energy and resource efficiency, scalability, security, privacy, and intelligent smart contracts. However, some essential open issues and challenges that remain to be addressed before the widespread deployment of the integration of blockchain and ML, including resource management, data processing, scalable operation, and security issues. In this paper, ... present a survey on the existing works for blockchain and ML technologies; that is identify several important aspects of integrating blockchain and ML, including overview, benefits, and applications. and discuss some open issues, challenges, and broader perspectives that need to be addressed to jointly consider blockchain and ML for communications and networking systems ...[The Abstract Section III “ OVERVIEW OF BLOCKCHAIN “ and Figure. 2]. PNG media_image1.png 438 976 media_image1.png Greyscale Any inquiry concerning this communication or earlier communications from the examiner should be directed to QUOC A TRAN whose telephone number is (571)272-8664. The examiner can normally be reached Monday-Friday 9am-5pm MT. 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, Cesar Paula can be reached at 571-272-4128. 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. /QUOC A TRAN/Primary Examiner, Art Unit 2145
Read full office action

Prosecution Timeline

Mar 10, 2023
Application Filed
Feb 08, 2026
Non-Final Rejection — §112 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12586003
Method and Apparatus for Generating Operator
2y 5m to grant Granted Mar 24, 2026
Patent 12585951
METHOD AND ELECTRONIC DEVICE FOR GENERATING OPTIMAL NEURAL NETWORK (NN) MODEL
2y 5m to grant Granted Mar 24, 2026
Patent 12572772
SCALABLE DIGITAL TWIN SERVICE SYSTEM AND METHOD
2y 5m to grant Granted Mar 10, 2026
Patent 12561617
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
2y 5m to grant Granted Feb 24, 2026
Patent 12561610
METHOD AND APPARATUS FOR PRESENTING CANDIDATE CHARACTER STRING, AND METHOD AND APPARATUS FOR TRAINING DISCRIMINATIVE MODEL
2y 5m to grant Granted Feb 24, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
80%
Grant Probability
99%
With Interview (+29.4%)
3y 4m
Median Time to Grant
Low
PTA Risk
Based on 735 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month