Partnership at a Glance

Bandhan’s AWS practice is built on AWS certification depth, multi-service competency coverage, and active engagement across compute, data, AI, contact center, and modernization.

AWS Partner Network Tier

AWS Advanced Tier Services Partner with an active path to Premier.

AWS Competencies

Machine Learning, Data and Analytics, Generative AI Services, and Migration.

AWS Service Delivery Designations

Amazon Bedrock, Amazon SageMaker, Amazon Connect, Amazon Redshift, and AWS Lambda.

Certified Specialists

100+ AWS-certified consultants, including Solutions Architect Professional, ML Specialty, and Data Analytics Specialty.

Well-Architected Discipline

AWS Well-Architected Partner Program member. Every engagement is reviewed against the six pillars.

Enterprise Footprint

Multi-industry footprint across BFSI, healthcare, retail, media, and manufacturing

Our AWS Practice

AWS has the most mature enterprise cloud and AI stack in the market: Bedrock for generative AI, SageMaker for ML engineering, Q for enterprise productivity, Connect for contact center transformation, Redshift and Glue for data, and the deepest set of compute, storage, and security primitives in the industry. The opportunity for enterprises operating on AWS is to compose these into outcome-aligned AI products quickly, without months of foundation work for every initiative.
Bandhan’s AWS practice is engineered to deliver that composition. Our team holds active AWS certifications across architecture, data, AI, security, and operations, backed by service delivery designations on the services that matter most for AI outcomes.
We deliver across the AI lifecycle:
Advisory: AI readiness, Bedrock use-case workshops, contact center strategy, and modernization roadmaps
Build: Bedrock and SageMaker-based AI engineering, Connect transformations, data engineering on Glue and Redshift, and modernization on AWS-native services
Run: AWS managed services with Well-Architected operational discipline

Engagements are structured around outcomes, including AI use-case impact, contact center metrics, and modernization throughput, with measurable commitments tied to each.

Capabilities and Accelerators on the AWS Stack

Bandhan’s AWS practice spans the full breadth of AWS’s AI, data, contact center, application, and modernization estate. Named Bandhan solutions and accelerators, compress time-to-value on each surface. The capabilities below are commonly combined into multi-service engagements designed to deliver business outcomes, not isolated service deployments.

Amazon Bedrock and Generative AI
Production-grade generative AI on Amazon Bedrock with model selection across Anthropic Claude, Meta Llama, Amazon Titan, and others. Capabilities include knowledge bases on Bedrock, agentic workflows, guardrails, and enterprise-grade evaluation. Powered by Bandhan Enterprise Intelligence (BEI), Agent Assist, and AIRA (AI Ready Apps).

See What Stays Running

Amazon SageMaker ML Engineering

Custom ML engineering on Amazon SageMaker covering model development, training, registry, deployment, and MLOps. SageMaker Studio, SageMaker Pipelines, and model monitoring are engineered for production reliability. There is also Active Service Delivery designation on SageMaker.

AWS Data and Analytics Foundation

Enterprise data foundation on Redshift, Glue, Lake Formation, EMR, and Athena. Supports AI-ready data products, analytics, and ML feature stores at AWS scale. Powered by Aibase, Harvest, and Ailytics.

Amazon Connect and Contact Center AI

Amazon Connect contact center deployments enriched with AI. Includes Contact Lens, Q in Connect, customer profiles, agent workspace, and AI-augmented agent assistance. Active Service Delivery designation on Amazon Connect. This is powered by Bandhan Agent Assist.

Amazon Q and Enterprise Productivity

Amazon Q for Business and Q for Developer deployments covering enterprise knowledge grounding, custom plugins, and integration with internal data sources. This is powered by Bandhan Enterprise Intelligence (BEI) and NBX Assist for Agents.

AWS Modernization and Migration

Migration of legacy applications, data warehouses, and AI workloads to AWS using Bandhan’s structured modernization accelerators, AWS Migration Acceleration Program (MAP) alignment, and AI-augmented delivery operations. Powered by Shift, Delivery 2.0, and AMS.AI.

AWS Well-Architected and AI Governance

Operational excellence, security, and AI governance discipline aligned to the AWS Well-Architected Framework, including the Machine Learning Lens and Generative AI Lens. Powered by AIWatch (model observability) and Trust (data and AI access governance).

Industry Applications

AWS is the substrate for our delivery across every industry vertical we serve. Below are the most common AWS-led engagement patterns by industry. Each links to the dedicated industry page for buyers evaluating both partner and vertical fit.

BFSI on AWS

KYC, fraud, and AML on Bedrock and SageMaker, Connect for contact center transformation, AI-augmented advisor productivity on Q, and AWS Lake Formation-governed BFSI data. See the BFSI industry page for full use-case coverage.

Healthcare on AWS

HIPAA-aligned generative AI on Bedrock, clinical decision support on SageMaker, payer claims and prior-authorisation automation, and HealthLake-integrated FHIR data foundation. See the Healthcare industry page.

Retail and Consumer Goods on AWS

Personalization on Bedrock and Amazon Personalize, demand forecasting on SageMaker, Connect for customer service, and Redshift-grounded retail data foundation. See the Retail industry page.

Media and Entertainment on AWS

Ad operations and creative AI on Bedrock, MAM/DAM on S3 and OpenSearch, audience intelligence on Redshift, and viewer support transformation on Connect. See the Media industry page.

Manufacturing on AWS

Engineering knowledge on Bedrock, predictive maintenance on SageMaker, IIoT data foundation on AWS IoT and Timestream, and after-sales service AI on Connect. See the Manufacturing industry page.

Why Bandhan as your AWS Partner

Bandhan’s AWS practice has delivered AI and data engagements across BFSI, healthcare, retail, media, and manufacturing. Engagements include Amazon Connect transformations at financial services organizations, Bedrock-based generative AI deployments for healthcare providers, SageMaker ML programs at retailers, AWS modernization engagements at industrial OEMs, and end-to-end data foundation builds on Redshift and Glue. Customer references are available under an appropriate NDA.

Multi-Competency
Depth

Active AWS Competencies in Machine Learning, Data and Analytics, Generative AI, and Migration.

Service Delivery Designation Breadth

Bedrock, SageMaker, Connect, Redshift, and Lambda Service Delivery designations verifying ability to deliver on the specific services your engagement runs on.

AWS-Native Accelerators That Compress Delivery

BEI on Bedrock, Agent Assist on Connect, and AIRA AI Ready Apps reference architecture for AWS.

Well-Architected Delivery Discipline

Every engagement is evaluated against the AWS Well-Architected Framework, including the ML and Generative AI Lenses.

Senior AWS-Certified Team

100+ AWS-certified specialists across architecture, ML Specialty, Data Analytics Specialty, and Security Specialty. Not contractors rented by the project.

AWS Partner Network Co-Sell Alignment

Active engagement with AWS account teams, Migration Acceleration Program (MAP), and APN co-sell.

Take the Next Step

Ready to put AWS to work for measurable AI outcomes across Bedrock, SageMaker, Connect, Q, and beyond, with Well-Architected delivery discipline?
Book Now

Schedule an AWS GenAI Workshop with a Bandhan AWS specialist and choose your entry point.

  • Amazon Bedrock use-case workshop
  • Amazon Connect AI assessment
  • SageMaker MLOps review
  • AWS modernization roadmap

Each is structured to deliver a sequenced 90-day engagement plan with measurable AWS-stack outcomes.