Modern AI systems, built for real teams and real users.
AIMLHCI provides advisory and hands-on delivery for organizations adopting cutting-edge AI. We help define the right use cases, validate with users, reduce risk, and ship reliable solutions.
Services
Practical, outcome-oriented support across strategy, implementation, and user adoption.
AI Strategy & Roadmapping
Use-case discovery, feasibility analysis, risk assessment, and an execution plan aligned with business goals.
Executive-readyMachine Learning Delivery
Model development and evaluation, deployment planning, monitoring, and measurable success criteria.
Production-mindedHuman-Centered AI (HCI)
Workflow design, usability testing, trust & explainability patterns, and decision-support experiences.
Adoption-focusedTypical engagements
Flexible formats designed for clarity and speed—without sacrificing rigor.
- Discovery Sprint (1 - 2 weeks): define scope, data needs, risks, and success metrics.
- Prototype & Validation (2 - 6 weeks): build a demo and validate with stakeholders/users.
- Implementation Support: integrate models into products and establish monitoring and governance.
- Advisory: ongoing support for leaders and teams navigating AI adoption.
What clients get
- Clear documentation: assumptions, decisions, and measurable outcomes.
- Risk-aware delivery: privacy, reliability, and responsible use considerations.
- User adoption focus: workflows that teams can actually use.
- Pragmatic execution: decisions grounded in constraints and timelines.
Approach
A structured consulting process that reduces uncertainty and accelerates delivery.
1. Align
Goals, stakeholders, constraints, and success metrics.
2. Design
User workflows, evaluation plan, and system requirements.
3. Build
Prototypes or production components with guardrails.
4. Measure
Operational metrics, user feedback, and iteration cycles.
Contact
For inquiries, proposals, or partnership discussions:
Helpful details to include: your objective, timeline, data availability, and how you define success.