What challenges did LTM face before AI implementation?

HR teams were handling manual, time-consuming tasks such as leave requests, policy lookup, attendance corrections, and service requests across disparate systems. Sales teams spent significant time searching archives, finding case studies and decks, and drafting RFP responses, which slowed response times and limited time for client engagement.

What was the impact of the AI solution?

The solutions were delivered in under four months. RAIma scaled to more than 78,000 monthly active users and handled nearly 500,000 employee interactions. LTM reported a 75% feedback rate and a 15% overall productivity improvement. A.S.K supports more than 1,000 associates across sales, pre-sales, and sales enablement teams and reduces manual effort in proposal development.

Source

Microsoft

LTM transforms HR and Sales Organization with AI-Powered Copilot Agents

Use case typeCustomer service automationUpdated Jun 13, 2026

LTM, a global technology consulting and digital solutions company with more than 87,000 employees across 40+ countries, used Microsoft 365 Copilot, Copilot Studio, and Azure OpenAI Service to reimagine HR and sales operations with enterprise-scale agents. The company built two Copilot-powered agents: RAIma for HR and A. S. K Agentic AI for sales enablement, both integrated into Microsoft 365 and enterprise systems. RAIma provides a unified conversational interface for HR workflows, while A. S. K helps sellers retrieve content and draft proposal responses.

Organization: LTM
Industry: Professional Services
Location: India
Published: April 2026

Reported outcomes

+75%

productivityProductivity & throughput

+15%productivity

Strategic outcomes

Speed & agilityDelivered solutions in under four monthsScale & capacityScaled HR assistant to enterprise useNew product / capabilityBuilt unified HR and sales assistantsCost efficiencyReduced manual effort in proposal development

Catalog median for productivity & throughput deployments: +45% across 225 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 5

1Conversational AI
2Workflow automation
3Knowledge retrieval

HR teams were handling manual, time-consuming tasks such as leave requests, policy lookup, attendance corrections, and service requests across disparate systems.
Sales teams spent significant time searching archives, finding case studies and decks, and drafting RFP responses, which slowed response times and limited time for client engagement.

LTM built RAIma in Copilot Studio and deployed it within Microsoft 365 Copilot as a unified HR assistant connected to SharePoint, ServiceNow Copilot Connectors, and enterprise HR systems.
RAIma supports hire-to-retire HR processes, including onboarding, performance management, learning, wellbeing, policy inquiries, and workflow transactions, and can be used in Microsoft Teams.
LTM also built A.S.K Agentic AI in Copilot Studio as a centralized sales assistant that connects to SharePoint libraries, proposal archives, and corporate content repositories to retrieve relevant materials and generate draft responses using semantic search and large language models.

Technologies

Microsoft 365 Copilot Copilot Studio Azure OpenAI SharePoint ServiceNow Copilot Connectors Microsoft Teams

The solutions were delivered in under four months.
RAIma scaled to more than 78,000 monthly active users and handled nearly 500,000 employee interactions.
LTM reported a 75% feedback rate and a 15% overall productivity improvement.
A.S.K supports more than 1,000 associates across sales, pre-sales, and sales enablement teams and reduces manual effort in proposal development.

Architecture

RAIma is a Copilot-powered custom solution built in Copilot Studio and deployed within Microsoft 365 Copilot. It integrates with SharePoint, ServiceNow Copilot Connectors, and enterprise HR systems, and is accessible through Microsoft Teams and Microsoft 365 Copilot. A.S.K Agentic AI is also built in Copilot Studio and connects to SharePoint libraries, proposal archives, and corporate content repositories to support semantic search and draft generation.

Sources & evidence1

Groundedness: 5/5

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