What’s included
What’s included
Use case discovery
Workshops across product and operations to surface candidates, then score them on value, feasibility and risk.

Built with


Why it matters
Most GenAI programs fail on selection, not on engineering.
The wrong use case is expensive even when it is built perfectly.
An honest read on data readiness now saves months of rework later. The model is rarely the bottleneck; the data is.
You end up with a sequenced pathway leadership can fund, not a list of ideas.
What’s included · how it runs
Step 01
Interview stakeholders, review the estate and collect candidate use cases.
What’s included
Use case discovery
Workshops across product and operations to surface candidates, then score them on value, feasibility and risk.
Step 02
Score use cases, test data readiness against the top candidates and identify gaps.
What’s included
Data readiness review
What data exists, where it lives, how clean it is and what has to happen before a model can use it.
Capability and gap analysis
Skills, platform, security posture and tooling measured against what your top use cases need.
Step 03
Define target architecture on AWS and the sequence to get there.
What’s included
Execution pathway
A staged roadmap with target architecture, cost envelope and the first build clearly defined.
Step 04
Walk leadership through findings, costs and the recommended first build.
What you walk away with
Case studies
How Human eSources turned nearly three decades of talent science into AI that explains every job match, live on Amazon Bedrock behind TruTalent, its new recruiting platform.

Keith Gaudreau
VP Product Strategy
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
Talk to an engineer[How the client got the outcome: what Assembly built and where it runs. One sentence.]
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