Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
18 pending office actions • 11 art units • 16 examiners • 0 of 18 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
Assured Insurance Technologies, Inc. has 20 pending office actions in Transportation, E-Commerce & Mechanical Systems. The portfolio spans 18 examiners and 11 art units, indicating broad examiner dispersion across its technical filings.
NEWLON, WILLIAM D is the busiest examiner, with 3 pending matters. Because the largest identified examiner docket remains limited relative to the full portfolio, centralized deadline control and matter-level strategy are important.
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 | 7 (39%) |
| §101 + other | 6 (33%) |
| §103 only | 4 (22%) |
| Multi-statute (no §101) | 1 (6%) |
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 |
|---|---|---|---|
| NEWLON, WILLIAM D | 3 | 46.2% | +27.6% |
| CHANG, EDWARD | 1 | 63.3% | +31.9% |
| CAMPEN, KELLY SCAGGS | 1 | 50.9% | +31.1% |
| SAXENA, AKASH | 1 | 49.1% | +30.5% |
| SANTOS-DIAZ, MARIA C | 1 | 32.7% | +31.4% |
| KAPOOR, DEVAN | 1 | 6.7% | +10.0% |
| MADAMBA, CLIFFORD B | 1 | 44.7% | +14.8% |
| JUNG, HENRY H | 1 | 22.8% | +27.2% |
| PRESTON, JOHN O | 1 | 28.4% | +7.7% |
| BAIRD, EDWARD J | 1 | 49.3% | +66.5% |
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 |
| 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 | — |
| 19190392 | MACHINE-LEARNING MODEL FOR OPTIMIZED LOSS PREDICTION | NEWLON, WILLIAM D | — |
| 19190366 | ARTIFICIAL INTELLIGENCE-DRIVEN NEGOTIATOR | NEWLON, WILLIAM D | — |
| 19187893 | IMPLEMENTING FIRST CONTACT AND PERSONALIZED REMINDER STRATEGIES FOR INFORMATION GATHERING PROCESSES | SANTOS-DIAZ, MARIA C | — |
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 |
| 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 | — |
| 19190392 | MACHINE-LEARNING MODEL FOR OPTIMIZED LOSS PREDICTION | NEWLON, WILLIAM D | — |
| 19190366 | ARTIFICIAL INTELLIGENCE-DRIVEN NEGOTIATOR | 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 | — |
| Art Unit | Apps |
|---|---|
| 3696 | 4 |
| 3691 | 3 |
| 3692 | 2 |
| 3695 | 2 |
| 2188 | 1 |
| 3629 | 1 |
| 2126 | 1 |
| 3693 | 1 |
| 2619 | 1 |
| 2198 | 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 |
| 19190303 | TRAINED MACHINE LEARNING MODEL FOR OPTIMIZED RESERVE ESTIMATE PREDICTION | NEWLON, WILLIAM D | 3696 | §101 | Final Rejection | — | Pending | Apr 25, 2025 |
| 19190162 | COLLISION RECONSTRUCTION ENGINE | SAXENA, AKASH | 2188 | §103§112 | Final Rejection | 6d | Pending | Apr 25, 2025 |
| 19190392 | MACHINE-LEARNING MODEL FOR OPTIMIZED LOSS PREDICTION | NEWLON, WILLIAM D | 3696 | §101§103 | Final Rejection | — | Pending | Apr 25, 2025 |
| 19190366 | ARTIFICIAL INTELLIGENCE-DRIVEN NEGOTIATOR | NEWLON, WILLIAM D | 3696 | §101 | Final Rejection | — | Pending | Apr 25, 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 |
| 18979220 | VOICE-AI-BASED FIRST CONTACT | MADAMBA, CLIFFORD B | 3692 | §101§112 | Final Rejection | — | Pending | Dec 12, 2024 |
| 18979240 | AI-DRIVEN SERVICE ASSIGNMENT SYSTEM | JUNG, HENRY H | 3695 | §101§103§112 | Final Rejection | — | Pending | Dec 12, 2024 |
| 18979278 | VOICE-AI DRIVEN INJURY ASSISTANCE | PRESTON, JOHN O | 3693 | §101 | 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 |
| 18813698 | INTERACTIVE INJURY INTERFACE AND INJURY EVENT SIMULATION | SUBRAMANIAN, NARAYANSWAMY | 3691 | §101 | Non-Final OA | 45d overdue | Pending | Aug 23, 2024 |
| 18809101 | GUIDED CONTENT CAPTURE | GE, JIN | 2619 | §103 | Non-Final OA | — | Pending | Aug 19, 2024 |
| 18809150 | ARTIFICIAL INTELLIGENCE-DRIVEN NEGOTIATOR | EKECHUKWU, CHINEDU U | 3695 | §101§103 | Final Rejection | — | Pending | Aug 19, 2024 |
| 18808669 | REMINDER ENGINE IMPLEMENTING PERSONALIZED REMINDER STRATEGIES FOR SAAS USERS | SUN, CHARLIE | 2198 | §101§103 | Non-Final OA | — | Pending | Aug 19, 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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Start Free TrialAssured Insurance Technologies, Inc. has 18 pending office actions as of October 2026, spread across 11 art units and 16 examiners.
William D Newlon has the most, with 3 of Assured Insurance Technologies, Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
