Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
12 pending office actions • 7 art units • 12 examiners • 0 of 12 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Teachers Insurance And Annuity Association Of America has 12 pending office actions in Transportation, E-Commerce & Mechanical Systems. Each action is associated with a distinct examiner, while the portfolio spans 8 distinct art units. This pattern shows complete examiner dispersion within a smaller set of technical assignments.
GETACHEW, WODAJO is the busiest examiner, with 1 pending action. No examiner has more than the reported single action in the busiest-examiner field, so the main management challenge is coordination across separate examiner contacts. Art-unit grouping remains useful for identifying shared technical themes and maintaining consistent claim strategy.
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 | 3 (25%) |
| §101 + other | 4 (33%) |
| §103 only | 4 (33%) |
| §112 only | 1 (8%) |
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 |
|---|---|---|---|
| GETACHEW, WODAJO | 1 | 41.3% | +39.1% |
| MILLER, JAMES H | 1 | 41.1% | +36.8% |
| SINGLETARY, TYRONE E | 1 | 29.9% | +27.8% |
| TORRES CHANZA, GABRIEL JOSE | 1 | 8.3% | -12.5% |
| MACASIANO, JOANNE GONZALES | 1 | 67.2% | +41.0% |
| KANAAN, TONY P | 1 | 28.8% | +27.6% |
| LEE, MICHAEL CHRISTOPHER | 1 | 64.0% | +25.5% |
| KING, DAVIDA LEE | 1 | 34.0% | +38.3% |
| KESSLER, GREGORY AARON | 1 | 87.2% | +7.9% |
| TSAI, JAMES T | 1 | 63.5% | +56.9% |
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 |
|---|---|---|---|
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 29d |
| 19574205 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE - BLOCKCHAIN RETIREMENT ACCOUNT MANAGEMENT | GETACHEW, WODAJO | — |
| 19262651 | MANAGING INCOME STREAMS USING A DISTRIBUTED LEDGER AND SOULBOUND TOKENS | MILLER, JAMES H | — |
| 18981392 | AUTOMATED TECHNICAL DEBT EVALUATION AND SCORING USING ARTIFICIAL INTELLIGENCE | SINGLETARY, TYRONE E | — |
| 18952523 | SYSTEMS AND METHODS FOR TECHNICAL DEBT RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE | TORRES CHANZA, GABRIEL JOSE | — |
| 18765022 | SYSTEMS AND METHODS TO IDENTIFY FRICTION EVENTS DURING AN ELECTRONIC JOURNEY OF A CUSTOMER OF A BUSINESS | KANAAN, TONY P | — |
| 18424538 | AI-BASED FILE TRANSFORMATIONS | LEE, MICHAEL CHRISTOPHER | — |
| 18392059 | DYNAMICALLY MAPPING APPLICATION PROGRAMMING INTERFACES | KESSLER, GREGORY AARON | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18400778 | Techniques for Preserving Memories and Experiences Through a Non-Fungible Token (NFT) Engine | KING, DAVIDA LEE | 3d overdue |
| 19574205 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE - BLOCKCHAIN RETIREMENT ACCOUNT MANAGEMENT | GETACHEW, WODAJO | — |
| 19262651 | MANAGING INCOME STREAMS USING A DISTRIBUTED LEDGER AND SOULBOUND TOKENS | MILLER, JAMES H | — |
| 18981392 | AUTOMATED TECHNICAL DEBT EVALUATION AND SCORING USING ARTIFICIAL INTELLIGENCE | SINGLETARY, TYRONE E | — |
| 18889583 | ANALYSIS AND CLASSIFICATION METHODS AND SYSTEMS FOR ASSESSING, IDENTIFYING, AND TRACKING TECHNICAL DEBT IN ORGANIZATIONS | MACASIANO, JOANNE GONZALES | — |
| 18765022 | SYSTEMS AND METHODS TO IDENTIFY FRICTION EVENTS DURING AN ELECTRONIC JOURNEY OF A CUSTOMER OF A BUSINESS | KANAAN, TONY P | — |
| 18424538 | AI-BASED FILE TRANSFORMATIONS | LEE, MICHAEL CHRISTOPHER | — |
| 18509923 | GENERATIVE ARTIFICIAL INTELLIGENCE INCLUDING MAPPING QUESTIONS AND ANSWERS | TSAI, JAMES T | — |
| Art Unit | Apps |
|---|---|
| 3625 | 3 |
| 2197 | 3 |
| 3697 | 1 |
| 3694 | 1 |
| 3696 | 1 |
| 3699 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19574205 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE - BLOCKCHAIN RETIREMENT ACCOUNT MANAGEMENT | GETACHEW, WODAJO | 3697 | §101 | Non-Final OA | — | Pending | Mar 20, 2026 |
| 19262651 | MANAGING INCOME STREAMS USING A DISTRIBUTED LEDGER AND SOULBOUND TOKENS | MILLER, JAMES H | 3694 | §101§103 | Non-Final OA | — | Pending | Jul 08, 2025 |
| 18981392 | AUTOMATED TECHNICAL DEBT EVALUATION AND SCORING USING ARTIFICIAL INTELLIGENCE | SINGLETARY, TYRONE E | 3625 | §112 | Final Rejection | — | Pending | Dec 13, 2024 |
| 18952523 | SYSTEMS AND METHODS FOR TECHNICAL DEBT RISK MANAGEMENT USING ARTIFICIAL INTELLIGENCE | TORRES CHANZA, GABRIEL JOSE | 3625 | §101§103 | Final Rejection | — | Pending | Nov 19, 2024 |
| 18889583 | ANALYSIS AND CLASSIFICATION METHODS AND SYSTEMS FOR ASSESSING, IDENTIFYING, AND TRACKING TECHNICAL DEBT IN ORGANIZATIONS | MACASIANO, JOANNE GONZALES | 2197 | §103 | Non-Final OA | — | Pending | Sep 19, 2024 |
| 18765022 | SYSTEMS AND METHODS TO IDENTIFY FRICTION EVENTS DURING AN ELECTRONIC JOURNEY OF A CUSTOMER OF A BUSINESS | KANAAN, TONY P | 3696 | §101 | Non-Final OA | — | Pending | Jul 05, 2024 |
| 18424538 | AI-BASED FILE TRANSFORMATIONS | LEE, MICHAEL CHRISTOPHER | — | §101§103 | Non-Final OA | — | Pending | Jan 26, 2024 |
| 18400778 | Techniques for Preserving Memories and Experiences Through a Non-Fungible Token (NFT) Engine | KING, DAVIDA LEE | 3699 | §103 | Non-Final OA | 3d overdue | Pending | Dec 29, 2023 |
| 18392059 | DYNAMICALLY MAPPING APPLICATION PROGRAMMING INTERFACES | KESSLER, GREGORY AARON | 2197 | §101 | Non-Final OA | — | Pending | Dec 21, 2023 |
| 18509923 | GENERATIVE ARTIFICIAL INTELLIGENCE INCLUDING MAPPING QUESTIONS AND ANSWERS | TSAI, JAMES T | 2147 | §103 | Non-Final OA | — | Pending | Nov 15, 2023 |
| 18374913 | OPERATING SYSTEM LIFECYCLE MANAGEMENT USING MACHINE LEARNING | UNG, LANNY N | 2197 | §103 | Non-Final OA | 19d | Pending | Sep 29, 2023 |
| 18243714 | RECOMMENDATION SYSTEMS INTEGRATING EXTENDED REALITY TO GENERATE PERSONALIZED RECOMMENDATIONS | SANTIAGO-MERCED, FRANCIS Z | 3625 | §101§103 | Final Rejection | 29d | Pending | Sep 08, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialTeachers Insurance And Annuity Association Of America has 12 pending office actions as of October 2026, spread across 7 art units and 12 examiners.
Wodajo Getachew has the most, with 1 of Teachers Insurance And Annuity Association Of America's pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.