Prosecution Insights
Last updated: October 02, 2026

Affle (India) Limited

Technology area: Transportation, E-Commerce & Mechanical Systems

6 pending office actions • 1 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready

Analysis

Affle (India) Limited is currently managing 8 pending office actions in the Computing & Software technology area. These actions are assigned to 8 distinct examiners, meaning no pending actions share the same examiner. However, these examiners are concentrated within 2 distinct art units.

LADONI, AHOORA is the busiest examiner with 1 pending office action. Because the count of distinct examiners matches the 8 pending office actions, the workload is distributed with each examiner handling a matter for the company.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

6
Total Pending OAs
6
Non-Final OAs
0
Final Rejections
0
Advisory / Quayle

Case Difficulty Mix

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.

2
Hard (33%)
4
Medium (67%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (33%)
§103 only2 (33%)
§102 only2 (33%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
0
Information Tech
0% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
17% of docket
5
Business / Other
83% of docket

Time-on-OA Estimate

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.

60 h
Manual time on pending OAs
12 h
Time saved (low, 20%)
21 h
Time saved (mid, 35%)
0.5 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
SAVENKOV, VADIM 1 60.7% +20.3%
IDOWU, OLUGBENGA O 1 71.6% +19.0%
LADONI, AHOORA 1 5.0% +11.0%
TOUGHIRY, ARYAN D 1 68.8% +19.6%
ANDERSON, MICHAEL D 1 80.1% +15.1%
LAKHIA, VIRAL S 1 87.6% +19.9%

Quick Wins (2)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
19209270 SYSTEMS AND METHODS FOR CATEGORIZING PERSONAL INFORMATION INTO RELEVANT CATEGORIES CORRESPONDING TO SOCIAL ENGAGEMENT ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A PRIVACY AND AD-SENSITIVE MANNER ANDERSON, MICHAEL D —
19209213 SYSTEMS AND METHODS FOR OWNERSHIP AND BIOMETRIC-BASED AUTHENTICATION THROUGH AN ARTIFICIAL INTELLIGENT AGENT LAKHIA, VIRAL S —

Hard Cases (2)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
19216206 SYSTEMS AND METHODS FOR TRANSFERRING PERSONALIZED MACHINE LEARNING (ML)/ARTIFICIAL INTELLIGENCE (AI) MODELS AND DATA SAVENKOV, VADIM —
19216241 SYSTEMS AND METHODS FOR INTEGRATING MODELS WITH COORDINATORS AND ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A MARKETPLACE ENVIRONMENT LADONI, AHOORA —

Interview Candidates (6)

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 6 ordered by deadline are shown.

App #TitleExaminerDue in
19216206 SYSTEMS AND METHODS FOR TRANSFERRING PERSONALIZED MACHINE LEARNING (ML)/ARTIFICIAL INTELLIGENCE (AI) MODELS AND DATA SAVENKOV, VADIM —
19216096 SYSTEMS AND METHODS FOR DETECTING FRAUD THROUGH ARTIFICIAL INTELLIGENCE (AI) AGENT TESTING IDOWU, OLUGBENGA O —
19216241 SYSTEMS AND METHODS FOR INTEGRATING MODELS WITH COORDINATORS AND ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A MARKETPLACE ENVIRONMENT LADONI, AHOORA —
19209196 COLLABORATIVE ARTIFICIAL INTELLIGENT (AI) AGENT SYSTEMS WITH COORDINATORS/RECOMMENDATIONS FOR SHARED APPLICATIONS AND METHODS THEREOF TOUGHIRY, ARYAN D —
19209270 SYSTEMS AND METHODS FOR CATEGORIZING PERSONAL INFORMATION INTO RELEVANT CATEGORIES CORRESPONDING TO SOCIAL ENGAGEMENT ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A PRIVACY AND AD-SENSITIVE MANNER ANDERSON, MICHAEL D —
19209213 SYSTEMS AND METHODS FOR OWNERSHIP AND BIOMETRIC-BASED AUTHENTICATION THROUGH AN ARTIFICIAL INTELLIGENT AGENT LAKHIA, VIRAL S —

Top Art Units

Art UnitApps
3626 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19216206 SYSTEMS AND METHODS FOR TRANSFERRING PERSONALIZED MACHINE LEARNING (ML)/ARTIFICIAL INTELLIGENCE (AI) MODELS AND DATA SAVENKOV, VADIM — §101§103§112 Non-Final OA — Pending May 22, 2025
19216096 SYSTEMS AND METHODS FOR DETECTING FRAUD THROUGH ARTIFICIAL INTELLIGENCE (AI) AGENT TESTING IDOWU, OLUGBENGA O — §102 Non-Final OA — Pending May 22, 2025
19216241 SYSTEMS AND METHODS FOR INTEGRATING MODELS WITH COORDINATORS AND ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A MARKETPLACE ENVIRONMENT LADONI, AHOORA — §101§103Other Non-Final OA — Pending May 22, 2025
19209196 COLLABORATIVE ARTIFICIAL INTELLIGENT (AI) AGENT SYSTEMS WITH COORDINATORS/RECOMMENDATIONS FOR SHARED APPLICATIONS AND METHODS THEREOF TOUGHIRY, ARYAN D 3626 §103 Non-Final OA — Pending May 15, 2025
19209270 SYSTEMS AND METHODS FOR CATEGORIZING PERSONAL INFORMATION INTO RELEVANT CATEGORIES CORRESPONDING TO SOCIAL ENGAGEMENT ARTIFICIAL INTELLIGENCE (AI) AGENTS IN A PRIVACY AND AD-SENSITIVE MANNER ANDERSON, MICHAEL D — §102 Non-Final OA — Pending May 15, 2025
19209213 SYSTEMS AND METHODS FOR OWNERSHIP AND BIOMETRIC-BASED AUTHENTICATION THROUGH AN ARTIFICIAL INTELLIGENT AGENT LAKHIA, VIRAL S — §103 Non-Final OA — Pending May 15, 2025

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