Technology areas: Computing & Software • Networking & Security • Transportation, E-Commerce & Mechanical Systems
27 pending office actions • 25 art units • 27 examiners • 0 of 27 (0%) have an AI response strategy ready • 62 patents granted in the last 365 days
Kyndryl Inc. has 28 pending office actions in Computing & Software, involving 28 examiners across 26 art units. KO, CHAE M is the busiest named examiner, with 1 pending matter.
The portfolio is broadly distributed across examination assignments, with nearly every pending matter associated with a distinct examiner. Docket control and matter-level issue tracking are therefore important for coordinating responses across software and computing technologies.
The art-unit distribution also limits the value of assuming a single prosecution approach. Counsel should identify recurring claim concepts and disclosure positions, then adapt eligibility, prior-art, and technical arguments to the examiner and art-unit context of each application.
Based on the USPTO statutory response window for each pending office action. 13 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 13 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 4 (15%) |
| §101 + other | 7 (26%) |
| §103 only | 11 (41%) |
| §102 only | 1 (4%) |
| §112 only | 1 (4%) |
| Double-patenting only | 1 (4%) |
| Multi-statute (no §101) | 2 (7%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| KO, CHAE M | 1 | 89.2% | +4.8% |
| DELICH, STEPHANIE ZAGARELLA | 1 | 38.7% | +35.6% |
| SHAHABI, ARI ARASTOO | 1 | 57.1% | +40.6% |
| ALATA, AYOUB | 1 | 81.6% | +25.7% |
| KONG, ALAN LINGQIAN | 1 | 80.5% | +33.6% |
| PHAM, PHUC H | 1 | 89.6% | +18.1% |
| HABASHI, DANIEL MONIS S | 1 | — | — |
| COYER, RYAN D | 1 | 79.2% | +19.8% |
| LOTTICH, JOSHUA P | 1 | 90.3% | +3.4% |
| HUQ, FARZANA B | 1 | 80.0% | +31.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18813799 | UNSTRUCTURED DATA ACCESS CONTROL | KONG, ALAN LINGQIAN | 46d overdue |
| 18962396 | ACCELERATED INCIDENT RESPONSE AND RECOVERY OPTIMIZATION | KO, CHAE M | — |
| 18778103 | PERSONALIZED PASSWORD PROMPTING SYSTEM | PHAM, PHUC H | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17563113 | COGNITIVE SELECTION OF COMPOSITE SERVICES | KOESTER, MICHAEL RICHARD | 98d overdue |
| 18388579 | EXPEDITED OPERATIONS RESOLUTION | SINGH, RUPANGINI | 30d overdue |
| 18157376 | COST FORECASTING AND MONITORING FOR CLOUD INFRASTRUCTURE | WEBB III, JAMES L | 8d overdue |
| 17726887 | PRE-DEPLOYMENT VALIDATION OF INFRASTRUCTURE TOPOLOGY | HAN, BYUNGKWON | 2d overdue |
| 18138582 | COMPUTING A HIERARCHY OF CLASS LABELS FOR HIERARCHICAL MULTI-LABEL CLASSIFICATION | GRUSZKA, DANIEL PATRICK | 5d |
| 17592852 | PREDICTING RECOVERY POINT OBJECTIVE DRIFTS | KNIGHT, PAUL M | 72d |
| 18411161 | BEST HEDGING, UTILIZATION AND VALIDATION OF INFORMATION (BHUVI) MACHINE LEARNING MODEL | AHMED, ENAM | 83d |
| 18937636 | DATA-DRIVEN PRIORITIZED CUSTOMER RETENTION | DELICH, STEPHANIE ZAGARELLA | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18813799 | UNSTRUCTURED DATA ACCESS CONTROL | KONG, ALAN LINGQIAN | 46d overdue |
| 18937636 | DATA-DRIVEN PRIORITIZED CUSTOMER RETENTION | DELICH, STEPHANIE ZAGARELLA | — |
| 18929718 | SUSTAINABILITY SCORING AND RECOMMENDATION FOR APPLICATION SERVICES | SHAHABI, ARI ARASTOO | — |
| 18916853 | GENERATIVE ARTIFICIAL INTELLIGENCE (AI) DRIVEN CONVERSATIONAL AUTHENTICATION | ALATA, AYOUB | — |
| 18778103 | PERSONALIZED PASSWORD PROMPTING SYSTEM | PHAM, PHUC H | — |
| 18602617 | CODE AGILITY AND VISIBILITY VIA AUGMENTED DECISION-MAKING ALGORITHM | COYER, RYAN D | — |
| 18436070 | AUTOMATED SINGLE-TO-GROUPED CLOUD COMPUTING OPTIMIZATION | HUQ, FARZANA B | — |
| Art Unit | Apps |
|---|---|
| 2494 | 2 |
| 3624 | 2 |
| 2114 | 1 |
| 3623 | 1 |
| 3697 | 1 |
| 2408 | 1 |
| 2407 | 1 |
| 2191 | 1 |
| 2113 | 1 |
| 2455 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18962396 | ACCELERATED INCIDENT RESPONSE AND RECOVERY OPTIMIZATION | KO, CHAE M | 2114 | §112 | Non-Final OA | — | Pending | Nov 27, 2024 |
| 18937636 | DATA-DRIVEN PRIORITIZED CUSTOMER RETENTION | DELICH, STEPHANIE ZAGARELLA | 3623 | §101§103§112 | Final Rejection | — | Pending | Nov 05, 2024 |
| 18929718 | SUSTAINABILITY SCORING AND RECOMMENDATION FOR APPLICATION SERVICES | SHAHABI, ARI ARASTOO | 3697 | §101§102 | Non-Final OA | — | Pending | Oct 29, 2024 |
| 18916853 | GENERATIVE ARTIFICIAL INTELLIGENCE (AI) DRIVEN CONVERSATIONAL AUTHENTICATION | ALATA, AYOUB | 2494 | §102§103 | Non-Final OA | — | Pending | Oct 16, 2024 |
| 18813799 | UNSTRUCTURED DATA ACCESS CONTROL | KONG, ALAN LINGQIAN | 2494 | §103 | Final Rejection | 46d overdue | Pending | Aug 23, 2024 |
| 18778103 | PERSONALIZED PASSWORD PROMPTING SYSTEM | PHAM, PHUC H | 2408 | §103Other | Non-Final OA | — | Pending | Jul 19, 2024 |
| 18762810 | CHALLENGE-RESPONSE AUTHENTICATION USING GENERATIVE ARTIFICIAL INTELLIGENCE | HABASHI, DANIEL MONIS S | 2407 | §103 | Non-Final OA | — | Pending | Jul 03, 2024 |
| 18602617 | CODE AGILITY AND VISIBILITY VIA AUGMENTED DECISION-MAKING ALGORITHM | COYER, RYAN D | 2191 | §103 | Final Rejection | — | Pending | Mar 12, 2024 |
| 18592950 | BUSINESS SERVICE HEALTH SCORE VALIDATION FRAMEWORK | LOTTICH, JOSHUA P | 2113 | §101 | Final Rejection | — | Pending | Mar 01, 2024 |
| 18436070 | AUTOMATED SINGLE-TO-GROUPED CLOUD COMPUTING OPTIMIZATION | HUQ, FARZANA B | 2455 | §101§103 | Non-Final OA | — | Pending | Feb 08, 2024 |
| 18421531 | DETECTING IMPERSONATION ATTACKS | SHAW, PETER C | 2493 | §103 | Non-Final OA | — | Pending | Jan 24, 2024 |
| 18411161 | BEST HEDGING, UTILIZATION AND VALIDATION OF INFORMATION (BHUVI) MACHINE LEARNING MODEL | AHMED, ENAM | 2112 | §101§103 | Non-Final OA | 83d | Pending | Jan 12, 2024 |
| 18407542 | IDENTIFICATION AND MITIGATION OF SPOOFING ATTACKS ON AUTONOMOUS VEHICLES | ABYANEH, ALI S | 2437 | §103 | Non-Final OA | 4d overdue | Pending | Jan 09, 2024 |
| 18393774 | IMPERSONATION ATTACK DETECTION AND PREVENTION SYSTEM | HABTEGEORGIS, MATTHIAS | 2491 | §103 | Non-Final OA | — | Pending | Dec 22, 2023 |
| 18524243 | CONSORTIUM-BASED APPLICATION AUTHENTICATION | LEE, CLAY C | 3699 | §103 | Final Rejection | 27d | Pending | Nov 30, 2023 |
| 18524145 | CONSORTIUM-BASED INFRASTRUCTURE AND PLATFORM FOR USER AUTHENTICATION | LEE, GIL H | 2446 | DP | Final Rejection | 13d | Pending | Nov 30, 2023 |
| 18388579 | EXPEDITED OPERATIONS RESOLUTION | SINGH, RUPANGINI | 3628 | §101 | Non-Final OA | 30d overdue | Pending | Nov 10, 2023 |
| 18488319 | PREVENTING HARASSMENT ON METAVERSE ENVIRONMENTS | AUGUSTINE, NICHOLAS | 2178 | §102§103 | Non-Final OA | — | Pending | Oct 17, 2023 |
| 18477668 | MACHINE LEARNING MODEL FOR GENERATING CODE SNIPPETS AND TEMPLATES | KENDALL, CHUCK O | 2192 | §102 | Non-Final OA | — | Pending | Sep 29, 2023 |
| 18138582 | COMPUTING A HIERARCHY OF CLASS LABELS FOR HIERARCHICAL MULTI-LABEL CLASSIFICATION | GRUSZKA, DANIEL PATRICK | 2100 | §101§103 | Final Rejection | 5d | Pending | Apr 24, 2023 |
| 18184938 | SELF-LEARNING ONTOLOGY-BASED COGNITIVE ASSIGNMENT ENGINE | MEYER, JACQUELINE CHRISTINE | 2144 | §103 | Final Rejection | 13d | Pending | Mar 16, 2023 |
| 18112574 | AUTOMATED ARTIFICIAL INTELLIGENCE (AI) INSPECTION OF CUSTOMIZED PART PRODUCTION | OLSHANNIKOV, ALEKSEY | 2118 | §103 | Non-Final OA | — | Pending | Feb 22, 2023 |
| 18157376 | COST FORECASTING AND MONITORING FOR CLOUD INFRASTRUCTURE | WEBB III, JAMES L | 3624 | §101 | Non-Final OA | 8d overdue | Pending | Jan 20, 2023 |
| 17726887 | PRE-DEPLOYMENT VALIDATION OF INFRASTRUCTURE TOPOLOGY | HAN, BYUNGKWON | 2121 | §101§103 | Non-Final OA | 2d overdue | Pending | Apr 22, 2022 |
| 17592852 | PREDICTING RECOVERY POINT OBJECTIVE DRIFTS | KNIGHT, PAUL M | 2148 | §101§112 | Non-Final OA | 72d | Pending | Feb 04, 2022 |
| 17563113 | COGNITIVE SELECTION OF COMPOSITE SERVICES | KOESTER, MICHAEL RICHARD | 3624 | §101 | Final Rejection | 98d overdue | Pending | Dec 28, 2021 |
| 17555780 | MACHINE LEARNING MODEL-BASED, OVERHEAD LINE BREAKAGE PREDICTION SYSTEM | NGUYEN, LAM S | 2853 | §103 | Final Rejection | 57d | Pending | Dec 20, 2021 |
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Start Free TrialKyndryl Inc. has 27 pending office actions as of October 2026, spread across 25 art units and 27 examiners.
Chae M Ko has the most, with 1 of Kyndryl Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
