Services · AWS

Accelyze Generative AI Strategy and Pilot on AWS

Move from generative AI ideas to a working pilot on AWS. In 4–6 weeks we identify high-value use cases, design an AWS-native architecture, and deliver a secure proof of concept in your account.

The challenge

You’ve seen the potential of generative AI, but turning that potential into a concrete, safe, and maintainable solution inside your environment is where most organizations get stuck.

This fixed-scope engagement takes you from initial use case strategy to a working pilot that runs in your AWS account.

What we do

  • Discovery and readiness: collaborate with business and technical stakeholders, map goals, data, and constraints, then prioritize 2–4 candidate use cases and select one anchor with clear success criteria.
  • Pilot design and build: use Amazon Bedrock, Amazon SageMaker, Amazon Kendra or Amazon OpenSearch Service, and core AWS services such as Amazon S3, AWS Lambda, and Amazon API Gateway to implement a secure pilot in your account with cost controls and observability.
  • Validation and roadmap: validate with real users, capture metrics, and deliver a reference architecture plus backlog to harden and scale to production, including guidance on data governance and model lifecycle management.

Deliverables

  • Prioritized use case slate with success criteria, user journeys, and acceptance tests
  • AWS-native pilot for the anchor use case deployed in your AWS account with security, logging, and cost guardrails
  • Reference architecture and roadmap to production, including governance, monitoring, and integration recommendations

Structured 4–6 week engagement

From ideas to a running pilot on AWS — fixed-scope engagement from discovery through a working generative AI proof of concept aligned to business outcomes.

Built on Amazon Bedrock and AWS native services — reference architectures using Amazon Bedrock, Amazon SageMaker, Amazon Kendra or Amazon OpenSearch Service, Amazon S3, and AWS Lambda.

Roadmap to production and scale — concrete recommendations, target architecture, and backlog to evolve the pilot into a production-ready platform.

AWS native stack

  • Amazon Bedrock
  • Amazon SageMaker
  • Amazon Kendra or Amazon OpenSearch Service
  • Amazon S3
  • AWS Lambda
  • Amazon API Gateway
  • AWS Identity and Access Management
  • Amazon CloudWatch
  • Supporting security and networking services

Engagement & pricing

Custom pricing based on your requirements; request a private offer to receive a tailored quote.

The service is tailored for organizations building on AWS and maps directly to Amazon Bedrock, Amazon SageMaker, Amazon Kendra or Amazon OpenSearch Service, Amazon S3, AWS Lambda, AWS Identity and Access Management, Amazon CloudWatch, and related security and networking services.

Structured 4–6 week engagement

Support

Delivery and technical support for the duration of the engagement during standard business hours via email or collaboration tools such as Slack or Microsoft Teams, with typical one-business-day response for new requests and faster response for in-flight work.

Post-engagement hypercare focused on knowledge transfer, handover, and planning the next phase. Extended support or managed services can be scoped separately.

For support inquiries contact awsmktsupport@accelyze.ai.

Ready to move from AI ideas to a running pilot on AWS?

Share your current state and we’ll respond with a candid assessment, a private offer, and a path to production on AWS.

Request a private offer