About Us
Build AI that scales..
Most organizations don't have trouble getting started with AI. The hard part is making it stick—and making it scale.
A proof of concept? Achievable. A working model? Doable. But building something that holds up against real workflows, real users, and real infrastructure? That's where things get complicated.
AI rarely fails at the idea stage. It fails at the system level.
Integrations break. Data degrades. Edge cases multiply. Ownership gets murky. Risk shows up late. Legacy systems push back.
What works in isolation rarely survives production.
DayOne.ai is a workshop series built for that gap.
Not theory. Not generic training. A structured set of working sessions that moves teams from idea to system to production-ready.
Each workshop targets a specific part of the challenge:
- Where AI actually creates business value
- How to design systems that can support it
- What it takes to cross the prototype-to-production divide
- Where risk lives—and how to get ahead of it
- How to build a clear, executable path to deployment
This isn't a one-time event. It's a sequenced program that moves your organization through the full journey from POC to production to scale.
If you already know AI matters, this is how you make it work.
About the sprint
AI Design Sprint
AI Risk & Responsible AI Workshops
Agentic AI Workshops
From Use Case → POC → Deployment Path
Format: Multi-day
Turn a selected use case into a working AI system.
Workshop Outline
- Frame the opportunity
- Design the system
- Architect workflows and data
- Build the POC
- Validate performance
- Define deployment roadmap
Outcomes
- working prototype
- system architecture
- POC → production roadmap
- Build/scale partner alignment
Agentic AI Workshops
AI Risk & Responsible AI Workshops
Agentic AI Workshops
Design Systems That Think and Act
Format: Half-day to multi-day
Design next-generation AI systems with autonomy and decision-making.
Workshop Outline
- Agentic AI fundamentals
- System and architecture design
- Tool use and workflow orchestration
- Memory and context design
- Safety and control systems
Outcomes
- agent system designs
- architecture patterns
- implementation roadmap
AI Risk & Responsible AI Workshops
AI Risk & Responsible AI Workshops
AI Risk & Responsible AI Workshops
Make AI Safe, Testable, and Deployable
Format: Workshop series / program pathway
Identify risk and implement controls before scaling AI systems.
Workshop Outline
- System mapping
- Risk identification
- Attack surface analysis
- Scenario testing
- Mitigation design
- Responsible AI framework
Outcomes
- risk register
- mitigation strategies
- governance framework
- production readiness
Hardware & Edge AI Workshops
AI Risk & Responsible AI Workshops
AI Risk & Responsible AI Workshops
Bring AI Into the Real World
Format: Hands-on workshops
Design AI systems that interact with physical environments.
Workshop Outline
- Use case framing
- Edge vs cloud architecture
- Sensor and data design
- Prototype definition
- Deployment considerations
Outcomes
- edge AI system design
- prototype direction
- feasibility roadmap Goal: Test rea
Bring AI Into the Real World
Format: Hands-on workshops
Design AI systems that interact with physical environments.
Workshop Outline
- Use case framing
- Edge vs cloud architecture
- Sensor and data design
- Prototype definition
- Deployment considerations
Outcomes
- edge AI system design
- prototype direction
- feasibility roadmap Goal: Test real-world scenarios, refine agent behavior, and ensure reliability.
- Governance: Define escalation procedures for human oversight.