Fractional Chief AI Officer
Executive AI leadership without adding a full-time executive.
AI isn't a tool problem. It's an operating-system problem.
Bigado provides Fractional Chief AI Officer leadership for law firms, healthcare practices, and professional organizations that need experienced AI strategy and implementation oversight without hiring a full-time CAIO.
From AI experiments → operating system
The real problem
More AI tools won't fix a fragmented business.
Organizations are adopting AI faster than they are designing the operating systems around it. The result is often more software, more complexity and very little measurable improvement.
Scattered AI
- Tools purchased without a clear business outcome
- Automations built around isolated tasks
- CRM data without preserved context
- Unclear ownership and escalation
- Results that are difficult to measure
An AI operating system
- Business outcomes determine the technology
- Workflows connect people, systems and AI
- Context follows the opportunity
- Authority and human escalation are explicit
- Performance is measured and improved
What a Fractional CAIO does
Strategy is only useful when it changes how the business operates.
The Fractional CAIO role connects executive priorities to practical implementation.
Strategy
AI opportunity assessment
Identify where AI and automation can improve revenue, response, conversion, efficiency or customer experience.
Workflow
Operating-system design
Redesign workflows around the outcome instead of adding another disconnected tool.
Technology
Vendor & platform decisions
Evaluate technologies according to the workflow they must support.
Implementation
Execution oversight
Translate strategy into requirements, priorities, integrations and accountable implementation.
Governance
Authority & escalation
Define what automated systems may do, what they may not do and when a human must take over.
Measurement
Business outcomes
Measure operational and economic results rather than AI activity alone.
The Bigado operating model
AI becomes valuable when it becomes operational.
We move from business problem to working system through a disciplined six-part model.
Agentic AI governance
Capability is not the same thing as authority.
An AI system may be technically capable of taking an action. That does not mean it should be authorized to take it.
Allowed
Define the actions an agent may perform independently.
Forbidden
Explicitly identify actions, decisions and data uses outside its authority.
Escalate
Determine when professional judgment, ambiguity or risk requires a human decision.
Why Bigado
Technology experience with an operator's perspective.
Bigado is led by Dr. Michael Davis, whose background spans healthcare, technology, entrepreneurship and business operations.
The objective is not to sell another AI tool. It is to determine where technology can create measurable value and help turn that strategy into a working system.
The engagement
Executive guidance that continues through implementation.
The work begins with the business—not the technology stack.
Business objectives, workflows, revenue leaks and constraints.
Prioritized opportunities, architecture and implementation plan.
Workflow redesign, vendor coordination, integration and deployment.
Performance measurement, governance review and continuous improvement.
Built from practical experience
LeadTapSync™ is one example of the architecture.
Bigado's work on lead capture, context preservation, follow-up and conversion illustrates the broader operating-system approach.
LeadTapSync is an enabling technology layer—not the entire Bigado business.
CRMs remember WHO.
LeadTapSync remembers WHY.
Effective follow-through depends on where you met, what problem mattered, what outcome was desired and what should happen next.
Start with the business problem
You don't need more AI. You need a system that produces a better outcome.
Find where opportunities, time and revenue are leaking before deciding what technology belongs in the solution.