Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.
A publicly traded IT services firm manages revenue and margin commitments across thousands of active projects and hundreds of global clients.
Sales, delivery, and finance systems operated independently on different cadences, making real-time visibility impossible. Reconciling these...
“Predictability in terms of outcomes and numbers is very important against the commitments we make to the market, especially around revenue and margins.”
IT services and digital transformation partner specializing in platform engineering.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Sonata Software's Financial forecasting is part of this use case:
Related implementations across industries and use cases
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Sluggish PCs once forced 17-minute helpdesk calls. An AI assistant now clears caches and resets sessions automatically.
Financial data scattered across systems took up to 15 manual steps per file. AI automates workflows and unlocks natural language queries.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
Analysts spent weeks manually reviewing massive government datasets. Now, AI instantly surfaces high-priority insights.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.
A publicly traded IT services firm manages revenue and margin commitments across thousands of active projects and hundreds of global clients.
Sales, delivery, and finance systems operated independently on different cadences, making real-time visibility impossible. Reconciling these...
“Predictability in terms of outcomes and numbers is very important against the commitments we make to the market, especially around revenue and margins.”
IT services and digital transformation partner specializing in platform engineering.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Sonata Software's Financial forecasting is part of this use case:
Related implementations across industries and use cases
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Sluggish PCs once forced 17-minute helpdesk calls. An AI assistant now clears caches and resets sessions automatically.
Financial data scattered across systems took up to 15 manual steps per file. AI automates workflows and unlocks natural language queries.
Acquisitions scattered critical data across 36+ companies. Now, a principal AI agent routes employee queries to specialized sub-agents.
Analysts spent weeks manually reviewing massive government datasets. Now, AI instantly surfaces high-priority insights.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Routine administrative tasks once tied up human experts for entire days. AI now completes these workflows in just minutes.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.