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Intent Discovery

by Service-now.com

Discover user intents from incidents, cases or request data to maximize deflection with Virtual Agent and NLU

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0 installs 0 reviews v3.3.8 Scoped Application Free-ish (consumes 6 tables) 6 tables

Sub-Production

Install Trend

First tracked: 2024-10-30 Latest: 2026-09-09 (0 installs)

View Install Data

Date	Install Count	Change
2026-09-09	0	-
134 days of no change
2026-04-27	1,024	-1,024
145 days of no change
2025-12-02	1,023	+1
2025-12-01	1,022	+1
3 days of no change
2025-11-27	1,021	+1
5 days of no change
2025-11-21	1,020	+1
1 days of no change
2025-11-19	1,019	+1
4 days of no change
2025-11-14	1,018	+1
2025-11-13	1,017	+1
2025-11-12	1,016	+1
2025-11-11	1,015	+1
3 days of no change
2025-11-07	1,014	+1
2025-11-06	1,013	+1
1 days of no change
2025-11-04	1,012	+1
2025-11-03	1,010	+2
2025-11-02	1,009	+1
5 days of no change
2025-10-27	1,008	+1
5 days of no change
2025-10-21	1,006	+2
2025-10-20	1,004	+2
2025-10-19	1,003	+1
2025-10-18	1,002	+1
1 days of no change
2025-10-16	1,001	+1
2 days of no change
2025-10-13	1,000	+1
6 days of no change
2025-10-06	999	+1
12 days of no change
2025-09-23	998	+1
6 days of no change
2025-09-16	997	+1
2025-09-15	996	+1
2025-09-14	995	+1
1 days of no change
2025-09-12	994	+1
1 days of no change
2025-09-10	993	+1
5 days of no change
2025-09-04	992	+1
2 days of no change
2025-09-01	991	+1
3 days of no change
2025-08-28	989	+2
6 days of no change
2025-08-21	987	+2
2 days of no change
2025-08-18	986	+1
1 days of no change
2025-08-16	984	+2
2 days of no change
2025-08-13	982	+2
2 days of no change
2025-08-10	980	+2
3 days of no change
2025-08-06	979	+1
2025-08-05	977	+2
2025-08-04	975	+2
2025-08-03	974	+1
2 days of no change
2025-07-31	973	+1
11 days of no change
2025-07-19	972	+1
2 days of no change
2025-07-16	971	+1
10 days of no change
2025-07-05	970	+1
1 days of no change
2025-07-03	968	+2
2025-07-02	967	+1
2025-07-01	964	+3
6 days of no change
2025-06-24	962	+2
2025-06-23	961	+1
2 days of no change
2025-06-20	960	+1
2025-06-19	959	+1
3 days of no change
2025-06-15	956	+3
2 days of no change
2025-06-12	955	+1
1 days of no change
2025-06-10	954	+1
2025-06-09	953	+1
2 days of no change
2025-06-06	952	+1
1 days of no change
2025-06-04	951	+1
2025-06-03	950	+1
2025-06-02	948	+2
6 days of no change
2025-05-26	946	+2
2025-05-25	945	+1
1 days of no change
2025-05-23	944	+1
2025-05-22	942	+2
2025-05-21	939	+3
2025-05-20	937	+2
2025-05-19	935	+2
2 days of no change
2025-05-16	934	+1
2 days of no change
2025-05-13	933	+1
1 days of no change
2025-05-11	932	+1
4 days of no change
2025-05-06	931	+1
5 days of no change
2025-04-30	930	+1
2025-04-29	927	+3
2025-04-28	925	+2
10 days of no change
2025-04-17	924	+1
2025-04-16	923	+1
1 days of no change
2025-04-14	921	+2
5 days of no change
2025-04-08	920	+1
1 days of no change
2025-04-06	919	+1
2 days of no change
2025-04-03	917	+2
2025-04-02	916	+1
2025-04-01	913	+3
4 days of no change
2025-03-27	912	+1
1 days of no change
2025-03-25	910	+2
1 days of no change
2025-03-23	908	+2
4 days of no change
2025-03-18	904	+4
2025-03-17	901	+3
1 days of no change
2025-03-15	900	+1
3 days of no change
2025-03-11	899	+1
2025-03-10	897	+2
1 days of no change
2025-03-08	896	+1
1 days of no change
2025-03-06	894	+2
2025-03-05	893	+1
2 days of no change
2025-03-02	891	+2
2 days of no change
2025-02-27	889	+2
1 days of no change
2025-02-25	885	+4
2025-02-24	883	+2
2025-02-23	881	+2
1 days of no change
2025-02-21	878	+3
1 days of no change
2025-02-19	875	+3
2 days of no change
2025-02-16	874	+1
2 days of no change
2025-02-13	873	+1
2025-02-12	872	+1
1 days of no change
2025-02-10	871	+1
4 days of no change
2025-02-05	869	+2
1 days of no change
2025-02-03	866	+3
2025-02-02	865	+1
2025-02-01	864	+1
2025-01-31	862	+2
2025-01-30	859	+3
2025-01-29	858	+1
11 days of no change
2025-01-17	854	+4
6 days of no change
2025-01-10	845	+9
7 days of no change
2025-01-02	839	+6
63 days of no change
2024-10-30	803	+36

About

Delivers the Intent Discovery feature to NLU Workbench. Intent Discovery identifies user intents from analysing incident/case data. Use this application to help identify which intents to model and build Virtual Agent Conversations to attain maximum deflection.

Key Features

- Identifies top user intents from incident/case data to help build your first custom NLU model for Virtual Agent
- Assists in prioritizing your roadmap for creating custom VA Topics
- Leverages a prebuilt ITSM Intent Library powered by AI
- Predicts the intent of an incident given a short description
- Suggests meaningful clusters for incidents whose intents could not be predicted

Version History (2)

v3.3.8 2026-05-05 14:45:23

Added Deny ACLs for NLU workbench tables

v3.3.7 2024-05-09 14:07:47

NewChangedFixedRemoved

Support

Link Link

ID: abcdef8b072f00109c257a76fed300c1 · Published: May 2026 · Updated: Sep 09, 2026