Asset ledgers across three tools were unreachable by the AI helpdesk. One migration consolidated them — now employees self-serve through AI.
A Japanese media company that built SaaS governance for ISMS security certification and IPO preparation, expanding over four years until employee accounts, devices, SaaS licenses, and offboarding workflows were tracked across three separate tools.
As AI-driven workflows became standard practice, the IT team recognized that asset data scattered across multiple tools was inaccessible to their AI...
“AIが広がって仕事の進め方もAI前提になってきた中で、台帳が置かれている場所は大事だと気づきました。”
Also reported by
Recipe video service for cooking enthusiasts.
Provided the 'zooba' platform for SaaS and IT asset management, including AI helpdesk functionalities.
Kurashiru's IT asset management is part of this use case:
Related implementations across industries and use cases
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Knowledge scattered across dozens of tools; IT fielded constant questions. Now AI answers 98% of tickets, briefs generated in seconds.
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Fragmented tools forced manual workflows. AI now drafts case summaries and handles routine queries, optimizing support effort by 25%.
The CPO sourced every candidate by hand, plus a full team. AI now builds targeted pipelines in 24 hours—she runs it solo.
Flying blind across AI pipelines—no view of cost or accuracy. Observability cut compute costs 87.5% and root cause from 30 hours to minutes.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Asset ledgers across three tools were unreachable by the AI helpdesk. One migration consolidated them — now employees self-serve through AI.
A Japanese media company that built SaaS governance for ISMS security certification and IPO preparation, expanding over four years until employee accounts, devices, SaaS licenses, and offboarding workflows were tracked across three separate tools.
As AI-driven workflows became standard practice, the IT team recognized that asset data scattered across multiple tools was inaccessible to their AI...
“AIが広がって仕事の進め方もAI前提になってきた中で、台帳が置かれている場所は大事だと気づきました。”
Also reported by
Recipe video service for cooking enthusiasts.
Provided the 'zooba' platform for SaaS and IT asset management, including AI helpdesk functionalities.
Kurashiru's IT asset management is part of this use case:
Related implementations across industries and use cases
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Knowledge scattered across dozens of tools; IT fielded constant questions. Now AI answers 98% of tickets, briefs generated in seconds.
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Fragmented tools forced manual workflows. AI now drafts case summaries and handles routine queries, optimizing support effort by 25%.
The CPO sourced every candidate by hand, plus a full team. AI now builds targeted pipelines in 24 hours—she runs it solo.
Flying blind across AI pipelines—no view of cost or accuracy. Observability cut compute costs 87.5% and root cause from 30 hours to minutes.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.