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Shlok Talepa
Shlok Talepa

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Which Indian sectors are seeing real ROI from Gen-AI in 2025?

BFSI and IT services lead near-term gains; healthcare and retail accelerate through admin and CX wins

India’s GenAI story is shifting from proofs of concept to production ROI, with the clearest payback in BFSI, healthcare, retail, and IT services, especially when paired with solid data foundations, governance, and human-in-the-loop guardrails. Budgets are moving to measurable outcomes like time saved, error reduction, cost deflection, and conversion lift, making workflow-level KPIs essential for scaling beyond pilots.

BFSI: From pilots to payback

High-ROI workflows: contact centre copilots, AML/KYC alert summarisation, underwriting assistants, and collections coaching, reducing AHT, improving FCR, and preserving audit trails.

What to watch: early deployments show CSAT uplift and cost reductions; productivity upside through 2030 looks strongest in banking ops. Start with one queue, define evals (AHT, FCR, QA), and align to model risk governance.

Stack picks: Amazon Q in Connect for real-time assist and summaries; Amazon Bedrock for retrieval-augmented underwriting notes with enterprise guardrails.

Healthcare: Admin first, clinical assist next

High-ROI workflows: ambient scribing, claims/discharge summaries, multilingual engagement, freeing clinician time and lowering admin cost-to-serve with human review.

What to watch: consistent weekly hours saved for knowledge workers; measurable cost reductions in documentation and claims pipelines with traceable outputs.

Stack picks: AWS HealthScribe for draft clinical notes with citations; Amazon Q Business for permission-aware enterprise search over SOPs and policies.

Retail: Personalisation that pays

High-ROI workflows: catalogue enrichment, product content generation, conversational commerce, and returns automation, lifting content velocity and deflecting support tickets.

What to watch: margin improvement from reduced manual effort and conversion lift; adoption intent rising as stacks and evaluations standardise.

Stack picks: Amazon Bedrock with retrieval for brand-safe, multilingual content; Amazon Q in Connect for faster agent resolution with order context.

*IT services: Delivery productivity compounding
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High-ROI workflows: code assistants, test generation, L3 ticket summarisation, proposals, and knowledge mining, compressing SDLC and managed services cycles.

What to watch: most considerable role-level uplift in software development, with BPO/consulting gains as copilots embed into daily delivery and SLAs.

Stack picks: Bedrock for multi-model secure copilots over internal code; Q Business for runbooks/PRDs; Q in Connect to shave minutes per service interaction.

Cross-cutting accelerators

Data readiness beats model choice: invest in clean metadata, embeddings, taxonomies, and access policies before scaling.

Governance as enabler: standardise model cards, red-teaming, and incident logs; align with BFSI risk and HIPAA controls for faster approvals.

Human-in-the-loop ROI: place review gates where errors are costly; tie eval sets directly to business KPIs like AHT, CSAT, MTTR, conversion, and margin.

90-day action plan

Pick one high-ROI workflow: BFSI contact centre copilot, healthcare documentation, retail catalogue enrichment, or IT L3 summarisation.

Stand up a secure stack: managed FM platform for guardrails and private inference + enterprise assistants for retrieval over approved data.

Measure, then scale: ship in weeks. If targets are met, expand to adjacent workflows and codify templates/prompts/evals to keep marginal costs low.

For deeper sector specifics, examples, and the exact AWS patterns to implement, Read the full blog

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