What's included
Clear path to production
THE AI ADVISORY GAP
Having AI ideas isn't the problem.
Knowing what to build is.
Enterprise teams often have dozens of potential AI opportunities — but limited clarity on which ones are technically feasible, strategically valuable, and ready to move into production.
38 Labs helps identify the workflows where AI can create meaningful value, assess the data and technical constraints, and define a practical path from opportunity to implementation.
Deliverables
What you get
Opportunity
Identify the right problem
- Workflow assessment
- AI use-case identification
- Opportunity prioritization
- Success criteria
Feasibility
What is actually possible
- Data assessment
- Technical feasibility
- Model & vendor evaluation
- Risk and dependency review
Architecture
Design the path to production
- AI system architecture
- Integration approach
- Security & governance
- Deployment strategy
Roadmap
Know what to build next
- Implementation roadmap
- Prototype definition
- Investment and resource
- Next-step recommendation
How we work
From AI opportunity to a production path
A focused engagement built around your actual workflow, data, and constraints
Understand the workflow
We start with the business problem, users, decisions, and operational constraints — not the technology.
Assess data & feasibility
We examine the data, systems, models, security requirements, and technical constraints that determine whether the opportunity is viable.
Design the AI system
We define the architecture, model approach, integrations, evaluation strategy, and deployment environment.
Define the path forward
Clear recommendation and implementation roadmap — a prototype, production build, or a decision not to proceed.
Examples
Complex workflows. Real enterprise problems.
Examples of AI opportunities we help organizations evaluate and take toward production
Patient Narrative Intelligence
- Unstructured patient data into clinical signals
Mission-Critical Data Intelligence
- Complex decisions with AI inside security boundaries
Campaign Intelligence
- Fragmented audience signals into actionable intelligence
What clients say
Wes Wisham
“The team helped us move from AI experimentation to practical adoption, giving our people the tools, knowledge, and confidence to apply AI.”
Barry P
“They helped us take an AI use case from concept to practical deployment—connecting the business problem, the technology, and the people.”
Samir A.
“They took a complex data and AI challenge and turned it into a practical solution combining technical depth and understanding of the business.”