Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
18 pending office actions • 10 art units • 18 examiners • 0 of 18 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
Assured Insurance Technologies, Inc. is managing 18 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 10 distinct art units, reflecting a wide range of technical classifications for their insurance-related innovations. The prosecution involves 18 distinct examiners, meaning that every pending action is being reviewed by a different individual.
CHANG, EDWARD is the busiest examiner for the company, with 1 pending office action under his review. With 18 total pending office actions and 18 different examiners, the portfolio is completely decentralized. Practitioners must be prepared to handle a wide variety of examiner styles and requirements, as there is no overlap in the individuals reviewing the company's applications.
The 10 distinct art units indicate that the company's intellectual property strategy covers a broad range of specialized technical areas within the e-commerce and mechanical systems sectors. This requires practitioners to be familiar with the specific examination practices and prior art considerations across many different groups within the patent office. Because 18 distinct examiners are involved, the company must maintain a high degree of flexibility in its prosecution approach to accommodate the diverse perspectives of the examining corps.
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 | 7 (39%) |
| §101 + other | 5 (28%) |
| §103 only | 4 (22%) |
| Multi-statute (no §101) | 2 (11%) |
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 |
|---|---|---|---|
| CHANG, EDWARD | 1 | 63.1% | +32.2% |
| CAMPEN, KELLY SCAGGS | 1 | 50.8% | +31.4% |
| SAXENA, AKASH | 1 | 49.1% | +30.5% |
| NEWLON, WILLIAM D | 1 | 46.6% | +28.2% |
| ARAQUE JR, GERARDO | 1 | 9.5% | +15.8% |
| SANTOS-DIAZ, MARIA C | 1 | 32.8% | +31.0% |
| KAPOOR, DEVAN | 1 | 7.1% | +11.1% |
| KWONG, CHO YIU | 1 | 32.3% | +4.3% |
| BAIRD, EDWARD J | 1 | 49.2% | +67.3% |
| PRESTON, JOHN O | 1 | 28.4% | +7.7% |
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 |
|---|---|---|---|
| 18813698 | INTERACTIVE INJURY INTERFACE AND INJURY EVENT SIMULATION | SUBRAMANIAN, NARAYANSWAMY | 45d overdue |
| 19190162 | COLLISION RECONSTRUCTION ENGINE | SAXENA, AKASH | 6d |
| 19189061 | MACHINE-LEARNING METHOD OF GENERATING SERVICE PROVIDER RANKINGS USING INCIDENT INFORMATION | ARAQUE JR, GERARDO | 6d |
| 19539686 | INJURY ASSISTANCE MODEL | CHANG, EDWARD | — |
| 19195648 | VOICE-AI DRIVEN INJURY ASSISTANCE | CAMPEN, KELLY SCAGGS | — |
| 19190303 | TRAINED MACHINE LEARNING MODEL FOR OPTIMIZED RESERVE ESTIMATE PREDICTION | NEWLON, WILLIAM D | — |
| 19187893 | IMPLEMENTING FIRST CONTACT AND PERSONALIZED REMINDER STRATEGIES FOR INFORMATION GATHERING PROCESSES | SANTOS-DIAZ, MARIA C | — |
| 19186477 | AUTOMATED ARTIFICIAL INTELLIGENCE PROMPTING AND INCIDENT SUMMARIZATION | KAPOOR, DEVAN | — |
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 |
|---|---|---|---|
| 19190162 | COLLISION RECONSTRUCTION ENGINE | SAXENA, AKASH | 6d |
| 19189061 | MACHINE-LEARNING METHOD OF GENERATING SERVICE PROVIDER RANKINGS USING INCIDENT INFORMATION | ARAQUE JR, GERARDO | 6d |
| 19539686 | INJURY ASSISTANCE MODEL | CHANG, EDWARD | — |
| 19195648 | VOICE-AI DRIVEN INJURY ASSISTANCE | CAMPEN, KELLY SCAGGS | — |
| 19190303 | TRAINED MACHINE LEARNING MODEL FOR OPTIMIZED RESERVE ESTIMATE PREDICTION | NEWLON, WILLIAM D | — |
| 19187893 | IMPLEMENTING FIRST CONTACT AND PERSONALIZED REMINDER STRATEGIES FOR INFORMATION GATHERING PROCESSES | SANTOS-DIAZ, MARIA C | — |
| 19186477 | AUTOMATED ARTIFICIAL INTELLIGENCE PROMPTING AND INCIDENT SUMMARIZATION | KAPOOR, DEVAN | — |
| 18979232 | ADAPTIVE FLOW ENGINE IMPLEMENTING DOWNSTREAM VOICE-AI INFORMATION-GATHERING | BAIRD, EDWARD J | — |
| Art Unit | Apps |
|---|---|
| 3691 | 3 |
| 3693 | 3 |
| 3696 | 2 |
| 3629 | 2 |
| 3692 | 2 |
| 2655 | 2 |
| 2188 | 1 |
| 2126 | 1 |
| 3695 | 1 |
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19539686 | INJURY ASSISTANCE MODEL | CHANG, EDWARD | 3696 | §101 | Final Rejection | — | Pending | Feb 13, 2026 |
| 19195648 | VOICE-AI DRIVEN INJURY ASSISTANCE | CAMPEN, KELLY SCAGGS | 3691 | §101 | Final Rejection | — | Pending | Apr 30, 2025 |
| 19190162 | COLLISION RECONSTRUCTION ENGINE | SAXENA, AKASH | 2188 | §103§112 | Final Rejection | 6d | Pending | Apr 25, 2025 |
| 19190303 | TRAINED MACHINE LEARNING MODEL FOR OPTIMIZED RESERVE ESTIMATE PREDICTION | NEWLON, WILLIAM D | 3696 | §101 | Final Rejection | — | Pending | Apr 25, 2025 |
| 19189061 | MACHINE-LEARNING METHOD OF GENERATING SERVICE PROVIDER RANKINGS USING INCIDENT INFORMATION | ARAQUE JR, GERARDO | 3629 | §102§103 | Final Rejection | 6d | Pending | Apr 24, 2025 |
| 19187893 | IMPLEMENTING FIRST CONTACT AND PERSONALIZED REMINDER STRATEGIES FOR INFORMATION GATHERING PROCESSES | SANTOS-DIAZ, MARIA C | 3629 | §101§102§103 | Final Rejection | — | Pending | Apr 23, 2025 |
| 19186477 | AUTOMATED ARTIFICIAL INTELLIGENCE PROMPTING AND INCIDENT SUMMARIZATION | KAPOOR, DEVAN | 2126 | §103 | Final Rejection | — | Pending | Apr 22, 2025 |
| 18979280 | VOICE-AI DRIVEN NEGOTIATOR | KWONG, CHO YIU | 3693 | §101§102§103§112 | Final Rejection | — | Pending | Dec 12, 2024 |
| 18979232 | ADAPTIVE FLOW ENGINE IMPLEMENTING DOWNSTREAM VOICE-AI INFORMATION-GATHERING | BAIRD, EDWARD J | 3692 | §103 | Final Rejection | — | Pending | Dec 12, 2024 |
| 18979278 | VOICE-AI DRIVEN INJURY ASSISTANCE | PRESTON, JOHN O | 3693 | §101 | Final Rejection | — | Pending | Dec 12, 2024 |
| 18979220 | VOICE-AI-BASED FIRST CONTACT | MADAMBA, CLIFFORD B | 3692 | §101§112 | Final Rejection | — | Pending | Dec 12, 2024 |
| 18979052 | VOICE-BASED, ARTIFICIAL INTELLIGENCE-DRIVEN FLOW ENGINE | COLUCCI, MICHAEL C | 2655 | §101§102DP | Non-Final OA | — | Pending | Dec 12, 2024 |
| 18813698 | INTERACTIVE INJURY INTERFACE AND INJURY EVENT SIMULATION | SUBRAMANIAN, NARAYANSWAMY | 3691 | §101 | Non-Final OA | 45d overdue | Pending | Aug 23, 2024 |
| 18808819 | FACILITATING SUB-GROUP HOPPING IN CALL SESSIONS FOR ADAPTIVE CONTENT FLOWS | PULLIAS, JESSE SCOTT | 2655 | §103 | Final Rejection | 4d overdue | Pending | Aug 19, 2024 |
| 18809150 | ARTIFICIAL INTELLIGENCE-DRIVEN NEGOTIATOR | EKECHUKWU, CHINEDU U | 3695 | §101§103 | Final Rejection | — | Pending | Aug 19, 2024 |
| 18653262 | SIMULATION ENGINE FOR VEHICLE INCIDENTS | APPLE, KIRSTEN SACHWITZ | 3693 | §101 | Non-Final OA | — | Pending | May 02, 2024 |
| 17500767 | AUTOMATED INCIDENT SIMULATION GENERATOR | MIRABITO, MICHAEL PAUL | 2187 | §103 | Non-Final OA | 42d | Pending | Oct 13, 2021 |
| 17500730 | AUTOMATED CONTEXTUAL FLOW DISPATCH FOR CLAIM CORROBORATION | KAZIMI, HANI M | 3691 | §101 | Non-Final OA | — | Pending | Oct 13, 2021 |
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