Prosecution Insights
Last updated: July 17, 2026
Application No. 18/047,141

IDENTIFYING TECHNOLOGY REFRESH THROUGH EXPLAINABLE RISK REDUCTIONS

Non-Final OA §101
Filed
Oct 17, 2022
Examiner
DESTA, ELIAS
Art Unit
2857
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Dell Products L.P.
OA Round
3 (Non-Final)
84%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
94%
With Interview

Examiner Intelligence

Grants 84% — above average
84%
Career Allowance Rate
895 granted / 1066 resolved
+16.0% vs TC avg
Moderate +10% lift
Without
With
+9.8%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
29 currently pending
Career history
1100
Total Applications
across all art units

Statute-Specific Performance

§101
26.1%
-13.9% vs TC avg
§103
41.0%
+1.0% vs TC avg
§102
16.2%
-23.8% vs TC avg
§112
11.5%
-28.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1066 resolved cases

Office Action

§101
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 . RCE 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and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on March 13, 2026 has been entered. Response to Amendment Applicant's arguments filed on March 13, 2026 with respect to the rejection of claims 1-20 under 35 U.S.C. §101 as the claimed invention being directed to a judicial exception (i.e., abstract idea) without significantly more have been fully considered but they are not persuasive for the reasons noted below. Claims 1-20 are pending in the application. No claims are allowed. IDS The information disclosure statement (IDS) submitted on November 25, 2025 is being considered by the Examiner. Explanation of Rejection Claim rejection – 35 U.S.C. §101 35 U.S.C. §101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. In reference to clams 1-20: the claimed invention is directed to a judicial exception (i.e., Abstract idea) without significantly more. The requirement for subject matter eligibility test for products and processes requires first, the claimed invention must be to one of the four statutory categories. 35 U.S.C. §101 defines the four categories of invention that Congress deemed to be the appropriate subject matter of a patent: processes, machines, manufactures and compositions of matter. The latter three categories define "things" or "products" while the first category defines "actions" (i.e., inventions that consist of a series of steps or acts to be performed). Second, the claimed invention also must qualify as patent-eligible subject matter, i.e., the claim must not be directed to a judicial exception unless the claim as a whole includes additional limitations amounting to significantly more than the exception. The judicial exceptions (also called "judicially recognized exceptions" or simply "exceptions") are subject matter that the courts have found to be outside of, or exceptions to, the four statutory categories of invention, and are limited to abstract ideas, laws of nature and natural phenomena (including products of nature). In the first step, it is to be determined whether the patent claim under examination is directed to an abstract idea. If so, in the second step of analysis, it is to be determined whether the patent adds to the idea “something more” or "significantly more” that embodies an “inventive concept.” In the instant case, claim 1 is representative and it is reproduced here with the limitations that are part of the abstract idea in bold: A system, comprising: at least processor; and at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations, comprising: determining a first output from an explainable artificial intelligence risk model based on a first input, wherein the first input indicates a first computing configuration, and wherein the first output indicates a first predicted maintenance cost of the first computing configuration during a time period; determining a second output from the explainable artificial intelligence risk model based on a second input, wherein the second input indicates a second computing configuration that differs from the first computing configuration, and wherein the second output indicates a second predicted maintenance cost of the second computing configuration during the time period; and in response to determining that the second predicted maintenance cost is less than the first predicted maintenance cost, saving an indication of a difference between the second predicted maintenance cost and the first predicted maintenance cost, sending offering data to a user account that is associated with utilizing the first computing configuration, wherein the offering data is indicative of an offer to switch from the first computing configuration to the second computing configuration; and based on the determining of the first output from the explainable artificial intelligence risk model, based on determining of the second output from the explainable artificial intelligence risk model, and based on receiving acceptance data that is associated with the user account and that is indicative of acceptance of the offer, switching from the first computing configuration to the second computing configuration with respect to the user account, and reducing a charge to the user account from the first amount that is associated with the user account having access to the first computing configuration a second amount that is associated with the user account having access to the second computing configuration based on the switching from the first computing configuration to the second computing configuration Step 2A: Prong I: The claim recites the steps of “determining a first output from an explainable artificial intelligence risk model based on a first input, wherein the first input indicates a first computing configuration, and wherein the first output indicates a first predicted maintenance cost of the first computing configuration during a time period”, “determining a second output from the explainable artificial intelligence risk model based on a second input, wherein the second input indicates a second computing configuration that differs from the first computing configuration, and wherein the second output indicates a second predicted maintenance cost of the second computing configuration during the time period”, “determining that the second predicted maintenance cost is less than the first predicted maintenance cost, saving an indication of a difference between the second predicted maintenance cost and the first predicted maintenance cost”, “sending offering data ..associated with utilizing the first computing configuration” , “based on receiving acceptance data …switching from the first computing configuration to the second computing configuration with respect to the user account, and reducing a charge to the user account from the first amount that is associated with the user account having access to the first computing configuration a second amount that is associated with the user account having access to the second computing configuration based on the switching from the first computing configuration to the second computing configuration” These limitations could be carried out as a purely mental process (at least in a some relatively simple situations) and/or they could amount to a mathematical calculation (for example, determining a difference between two values is just subtraction). Therefore, the recited method falls in the abstract idea grouping of mental processes and/or mathematical concepts at Prong 1 of the §101 analysis. Prong II: This abstract idea is not integrated into a practical application at Prong 2 of the §101 analysis because the claim does not recite sufficient additional elements to integrate the abstract idea into a practical application. The claim recites the system comprising the additional element such " an explainable artificial intelligence risk model’ and “a processor, and a memory that stores executable instructions”. However, these are generic components which are not considered to be extra-solution activity. In fact, the processor, the memory and the artificial intelligence risk models are merely a generic computer processing component that is invoked as a tool to perform the abstract idea, which does not cause the claim as a whole to integrate the abstract idea into a particular practical application or provide significantly more than the recited abstract idea (see MPEP 2106.05(b)). This limitation merely establishes a field-of-use and broadly recites the “artificial intelligence risk model”, “the processor” and “the memory” are part of the object on which the system operates (that is, the object that simply provides the difference of two values based on predicted values) rather than being a particular machine which implements the system (see MPEP 2106.05(b)). Further, the claim recites “in response to determining that the second predicted maintenance cost is less than the first predicted maintenance cost, saving an indication of a difference between the second predicted maintenance cost and the first predicted maintenance cost”. However, saving a value is merely insignificant extra-solution activity, just as the steps of outputting or displaying (see MPEP 2106.05(g)). The additional limitation as amended also include “sending offering data to a user account that is associated with utilizing the first computing configuration, wherein the offering data is indicative of an offer to switch from the first computing configuration to the second computing configuration; and based on receiving acceptance data that is associated with the user account and that is indicative of acceptance of the offer, switching from the first computing configuration to the second computing configuration with respect to the user account. However, “sending offering” and “based on receiving the acceptance data” then “switching from the first computing configuration to the second computing configuration with respect to the user account” are a human thought process, such as preference and the act of choosing to pick one configuration over the other are considered incentives driven with choices by the end user; therefore, it reads on a human thought process and human activity. Further, the tools to carry out these thought processes and/or human activity, such as the computer and the associated acts of sending and receiving are generic and insignificant extra-solution activity. Finally, the claim is even further amendment to include “reducing a charge to the user account from the first amount that is associated with the user account having access to the first computing configuration a second amount that is associated with the user account having access to the second computing configuration based on the switching from the first computing configuration to the second computing configuration”; however, these activities are a typical human activity and conventional. The claim does not recite applying the abstract idea with, or by use of, any particular machine, nor does the claim affect a real-world transformation or reduction of a particular article to a different state or thing. The claim amounts to manipulating data: that the second predicted maintenance cost is less than the first predicted maintenance cost, saving an indication of a difference between the second predicted maintenance cost and the first predicted maintenance cost. The claim does not recite any particular real-world actions that are taken as a result of the notification that is “saving the value”. The claim establishes a “an artificial intelligence risk model” as the general field-of-use, but does not recite a particular practical application being carried out within that field-of-use. Therefore, the claimed invention does not appear to be limited to the use of the mental process or math in a particular practical application, but instead the claim appears to monopolize the mental process or math itself, in any practical application where it might conceivably be used. Step 2B: Finally, at Step 2B, the claim does not include additional elements that are sufficient to amount to significantly more than the abstract idea for the same reasons as discussed above with regard to Prong 2. Claim 1 is rejected as ineligible under 35 USC §101. Claims 8 and 16 are analogous to claim 1, except that they are directed to a “method” and “a non-transitory computer-readable medium”. Dependent claim 2: the instant claim is directed to the association of the respective risk values which merely adds to the insignificant extra-solution activity being recited which is actually a mental process. Dependent claim 3: the instant claim is directed to informing or sending a recommendation, which merely adds insignificant extra-solution activity being recited and considered outputting or displaying (see MPEP 2106.05(g)). Dependent claims 4-7: the instant claims are directed to explaining the attributes of the risk management model output and merely adds to the insignificant extra-solution activity being recited. Dependent claims 9-14: the instant claims are directed to characterizing the risk model and evaluation of values that are obtained though the risk model which merely adds insignificant extra-solution activity being recited and are considered a human thought or mental process. Dependent claims 16-20: the instant claims are directed to the analysis of the risk variables or attributes for the purposes of commercial appeal and adds insignificant extra-solution activity being recited and are considered a human thought or mental process. Response to Argument Applicant's arguments filed on March 13, 2026 with respect to the rejection of claims 1-20 under 35 U.S.C. §101 as the claimed invention being directed to a judicial exception (i.e., abstract idea) without significantly more have been fully considered but they are not persuasive for the reasons noted above and further explained below. Applicant amended claims 1, 8 and 16 to include the limitation ““based on the determining of the first output from the explainable artificial intelligence risk model, based on determining of the second output from the explainable artificial intelligence risk model,” and “reducing a charge to the user account from the first amount that is associated with the user account having access to the first computing configuration a second amount that is associated with the user account having access to the second computing configuration based on the switching from the first computing configuration to the second computing configuration However, “the explainable artificial intelligence risk models” are generic AI. In fact, the claim is not even attempting the modification of the AI, it is the generic AI being used to rectify what would have been routine and conventional action taken by a human activity. The last added limitation is confirming that it shows a typical human activity of reducing the charge from one amount to a different amount for cost saving purpose. Further, the tools to carry out these thought processes and/or human activity, such as the computer and the associated acts of sending and receiving are generic and insignificant extra-solution activity. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure: Kanso et al. (U.S. Patent No. 11,956,266) relates to risk assessment of a computer resource vulnerability, and more specifically, to context-based risk assessment of a computer resource vulnerability. Any inquiry concerning this communication or earlier communications from the examiner should be directed to ELIAS DESTA whose telephone number is (571)272-2214. The examiner can normally be reached M-F: 8:30 to 5:00 pm. 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, Andrew M Schechter can be reached at 571-272-2302. 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. /ELIAS DESTA/ Primary Examiner, Art Unit 2857
Read full office action

Prosecution Timeline

Show 4 earlier events
Aug 07, 2025
Response Filed
Nov 13, 2025
Final Rejection mailed — §101
Jan 13, 2026
Response after Non-Final Action
Mar 13, 2026
Request for Continued Examination
Mar 19, 2026
Response after Non-Final Action
Apr 08, 2026
Non-Final Rejection mailed — §101
May 28, 2026
Applicant Interview (Telephonic)
May 29, 2026
Examiner Interview Summary

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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
94%
With Interview (+9.8%)
2y 9m (~0m remaining)
Median Time to Grant
High
PTA Risk
Based on 1066 resolved cases by this examiner. Grant probability derived from career allowance rate.

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