Preparing organizations to scale automation with confidence.
I work with leadership teams to make decision-making explicit before automation, The focus is not on technology, but on the processes, boundaries, and ownership that determine whether automation becomes leverage—or risk.
What I Do
I help organizations prepare processes for automation by clarifying how decisions should operate at scale.
That includes:
- Defining automation boundaries
Clarifying which decisions are safe to automate, which require human judgment, and where automation should stop. - Making decision ownership explicit
Identifying who owns automated decisions, has authority to intervene, and is accountable for outcomes. - Designing real oversight
Structuring human-in-the-loop in a way that functions as governance—not just review. - Building graceful failure into systems
Ensuring exit conditions, rollback paths, and recovery mechanisms exist before incidents occur. - Aligning leadership on risk tolerance
Translating abstract risk discussions into concrete operating rules teams can actually follow.
The work happens upstream—before models are deployed, vendors selected, or workflows scaled.
What I Don’t Do
To be explicit, I donot:
- Build or tune AI models
- Sell or resell software
- Replace internal engineering, data, or compliance teams
- Access client production systems or proprietary data
- Conduct audits, certifications, or compliance checklists
- Provide incident response or operational firefighting
This is not implementation work.
It is decision design and operating clarity.
How This Helps
When process clarity exists:
- Automation scales faster
- Incidents are contained, not chaotic
- Accountability is understood, not debated
- Trust in automated systems increases
The goal is not more control.
The goal is confidence at scale.
Engagement Style
Engagements are short, focused, and advisory.
The output is clarity: documented boundaries, ownership models, and decision frameworks teams can use immediately.
No retainers.
No tooling dependencies.
No long-term lock-in.
Who This Is For
I work best with organizations that:
- Are scaling automation or AI into core operations
- Want clarity before acceleration, not after an incident
- Recognize that decision-making is an operating model, not a technical detail
- Need alignment across leadership, operations, and technical teams
- Value explicit ownership, boundaries, and recovery paths
- Prefer quiet rigor over performative governance
Typical partners include:
- Executive and operational leaders
- Risk-aware product or platform teams
- Organizations moving from pilots to production
Who This Is Not For
This work is likely not a fit if you are looking for:
- AI or automation evangelism
- Model development, tuning, or benchmarking
- Vendor selection or tool recommendations
- Compliance checklists or certification exercises
- Emergency fixes or incident response
- A substitute for internal ownership
It is also not designed for organizations that:
- Expect automation to resolve unresolved business decisions
- Want guarantees of zero failure
- Treat governance as a formality rather than an operating discipline
A Useful Rule of Thumb
If the question is:
“Can we automate this?”
— this work may be premature.
If the question is:
“Are we clear enough to automate responsibly?”
— this work is designed for you.