Tech Mahindra DSLM as a Service

Tech Mahindra’s DSLM offering enables enterprises to design, build, and deploy Domain-Specific Language Models (DSLMs)—AI models optimized for a specific industry domain such as telecom, banking, energy, healthcare, or public sector. These models are grounded in enterprise data like policies, SOPs, manuals, tickets, and transcripts to ensure high accuracy, auditability, and contextual relevance.
The solution addresses key enterprise challenges with generic GenAI, including lack of domain accuracy, high costs, and compliance risks. DSLMs enable intelligent automation across document-heavy workflows, domain copilots for operations and support teams, and policy-driven decision systems with traceability.

Discover: Identify high-value, domain-specific use cases with clear ROI, define business requirements, compliance boundaries, and assess availability of enterprise data. Built on Microsoft Azure (Azure AI Foundry, Azure OpenAI, Microsoft Fabric/OneLake), the solution integrates seamlessly into enterprise ecosystems and supports scalable, secure, and governed AI adoption across business functions.

Evaluate: Benchmark candidate models (e.g., GPT, Llama, Mistral, etc.) against domain-specific criteria such as accuracy, cost, latency, explainability, and compliance to select the best-fit model.

Train: Build and fine-tune the model using curated domain data (enterprise datasets, SME knowledge, policies, and logs) on a governed data foundation (Fabric/OneLake) to create a domain-optimized SLM.

Validate: Perform rigorous testing against domain benchmarks, regulatory requirements, and Responsible AI standards to ensure accuracy, traceability, and compliance before production.

Deploy: Productionize the validated model on Azure AI Foundry with enterprise-grade security, and integrate it into business workflows via copilots, agents, or applications.

Operate: Continuously monitor performance, manage drift, retrain with new data, and optimize cost, accuracy, and compliance through a managed services mode

Use Cases:

• Domain copilots for operations and support
• Regulatory and compliance assistants
• Document intelligence (extraction, validation)
• Risk and exception management
• Knowledge-to-action automation (CRM updates, workflows)