Overview
GenAI/ML Readiness Assessment by Assembly
Assembly is an AWS Advanced Tier Services Partner. In three to four weeks we look at your business goals, use cases, AI capability, data readiness and technology, and give leadership a sequenced pathway it can fund, not a list of ideas.
Relation to AWS services This professional service assesses generative AI and machine learning use cases for delivery on AWS and designs the target architecture around Amazon Bedrock, Amazon Bedrock AgentCore and Amazon SageMaker. The data readiness review covers the data each use case needs, for example data held in Amazon S3, Amazon RDS or Amazon Redshift.
Why start here
- Pick the right use case: most GenAI programs fail on selection, not on engineering. The wrong use case is expensive even when it's built perfectly.
- An honest read on data: the model is rarely the bottleneck; the data is. Knowing now saves months of rework.
- A plan leadership can fund: a staged roadmap with the target architecture, cost envelope and first build clearly defined.
How it runs (typically 3-4 weeks)
- Discover: interview stakeholders, review the estate and run use case workshops across product and operations.
- Assess: score use cases on value, feasibility and risk, test data readiness against the top candidates, and measure skills, platform, security posture and tooling against what they need.
- Design: define the target architecture on AWS and the sequence to get there.
- Present: walk leadership through the findings, costs and the recommended first build.
What you receive
- A scored and prioritised use case register
- Data readiness findings
- A target AWS architecture
- A costed execution roadmap
Proof Human eSources turned nearly three decades of talent science into AI that explains every job match: Talent Scout AI, built by Assembly and live on Amazon Bedrock behind TruTalent, its recruiting platform.
Important
- The GenAI/ML Readiness Assessment is funded by AWS for companies that qualify, subject to AWS approval. We check your fit with you before anything goes to AWS.
- When you're ready to build, see our listings for GenAI and ML production builds and agent orchestration on Amazon Bedrock AgentCore.
Highlights
- Use cases scored on value, feasibility and risk, with data readiness tested against the top candidates
- Target architecture on Amazon Bedrock, Bedrock AgentCore or Amazon SageMaker and a costed roadmap, in 3-4 weeks
- Funded by AWS for companies that qualify, subject to AWS approval; we check your fit before anything goes to AWS
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Support
Vendor support
Getting in touch Contact Assembly at hello@assembly.cloud or book a call at https://calendar.app.google/QXUPBVqPkLRJwqG68 .
Before the engagement We reply to listing enquiries, eligibility questions and private offer requests within two business days (Australian Eastern time). After you accept a private offer, an Assembly engineer contacts you within two business days to start the Discover step.
During the assessment Your Assembly engineer runs the workshops and reviews with your stakeholders and keeps you updated each week.
After the assessment For questions about the findings, the architecture or the roadmap, contact your engineer or hello@assembly.cloud .
Billing For billing questions, email hello@assembly.cloud . We reply within two business days.