Only a fraction of calls were reviewed—Tagalog was invisible to QA tools. Now every call is transcribed, sentiment-scored, and PII-masked.
A BPO provider supporting Fortune 1000 enterprises, with 58,000 professionals across more than 100 locations worldwide, processing thousands of customer calls daily across banking, healthcare, telecommunications, and retail.
Only a fraction of daily calls could be reviewed due to labor-intensive manual QA processes, leaving leadership without visibility into sentiment...
“From the outset, Celebal Technologies demonstrated strong ownership and responsiveness, ensuring steady alignment through consistent follow-ups. Their team articulated complex architectures and integration use cases with absolute precision, ensuring technical capabilities are transparent and well-defined. Execution remained on schedule throughout, supported by clear, structured, and well-managed communication.”
BPO and customer experience provider specializing in digital and voice solutions.
Deployed its AICXM platform on Azure AI to automate Inspiro's call-quality monitoring.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Inspiro's Call quality monitoring is part of this use case:
Related implementations across industries and use cases
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Fast-paced work hid quiet contributions. Now, an AI agent scans daily chats to help managers spot overlooked wins and draft instant praise.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Only a fraction of calls were reviewed—Tagalog was invisible to QA tools. Now every call is transcribed, sentiment-scored, and PII-masked.
A BPO provider supporting Fortune 1000 enterprises, with 58,000 professionals across more than 100 locations worldwide, processing thousands of customer calls daily across banking, healthcare, telecommunications, and retail.
Only a fraction of daily calls could be reviewed due to labor-intensive manual QA processes, leaving leadership without visibility into sentiment...
“From the outset, Celebal Technologies demonstrated strong ownership and responsiveness, ensuring steady alignment through consistent follow-ups. Their team articulated complex architectures and integration use cases with absolute precision, ensuring technical capabilities are transparent and well-defined. Execution remained on schedule throughout, supported by clear, structured, and well-managed communication.”
BPO and customer experience provider specializing in digital and voice solutions.
Deployed its AICXM platform on Azure AI to automate Inspiro's call-quality monitoring.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Inspiro's Call quality monitoring is part of this use case:
Related implementations across industries and use cases
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Fast-paced work hid quiet contributions. Now, an AI agent scans daily chats to help managers spot overlooked wins and draft instant praise.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Manual QA left 90% of calls unchecked. AI now audits every interaction, accurately capturing mixed Hindi-English conversations.
Student insights were trapped in unreviewed audio. AI securely evaluates every call to power instant feedback and proactive coaching.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.