HR queries wound through a patchwork of disconnected systems and a separate help desk. One Copilot agent replaced the whole stack.
A global AI transformation consultancy with close to three decades advising enterprises in financial services and life sciences on digital transformation.
To credibly guide clients through AI adoption, Marlabs needed to operate AI-first itself. Internal HR ran through a separate help desk with multiple...
“We have reduced response times by more than 60% and eliminated our previous help desk system in favor of the Copilot agent that handles 80% of queries.”
AI consulting and digital product engineering services provider.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Marlabs's Workforce productivity is part of this use case:
Related implementations across industries and use cases
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
HR queries wound through a patchwork of disconnected systems and a separate help desk. One Copilot agent replaced the whole stack.
A global AI transformation consultancy with close to three decades advising enterprises in financial services and life sciences on digital transformation.
To credibly guide clients through AI adoption, Marlabs needed to operate AI-first itself. Internal HR ran through a separate help desk with multiple...
“We have reduced response times by more than 60% and eliminated our previous help desk system in favor of the Copilot agent that handles 80% of queries.”
AI consulting and digital product engineering services provider.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Marlabs's Workforce productivity is part of this use case:
Related implementations across industries and use cases
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Manual interview notes and routine contract checks bottlenecked teams. Now, staff use AI to summarize meetings and pre-check contracts.
Infrastructure compliance checks took months. Now, engineers use AI to parse massive datasets, cutting final review cycles by up to 90%.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.