BLACK ANVILSECURITY / INTELLIGENCELet’s talk
PROFESSIONAL EXPERIENCE / BUSINESS & TECHNICAL CONTEXT

Context matters.
Experience travels.

Professional experience across industries and AI product domains informs how Black Anvil approaches business questions, technical choices, and security.

The areas below refer to Zach’s professional background. They are not presented as Black Anvil client engagements and do not imply employer endorsements.

INDUSTRY CONTEXT

Different settings.
Better questions.

These are areas of professional experience. The questions alongside them illustrate considerations for a consulting conversation; they are not descriptions of past projects or achieved results.

01

Finance

Where do data access, oversight, and the consequences of an incorrect output affect the decision?

02

Food

How does a proposed solution fit the business context, team capacity, information available, and everyday operating constraints?

03

Marketing & analytics

Are the source information, definitions, evaluation criteria, and human interpretation suitable for the intended decision?

04

Health

How should data sensitivity, permissions, human oversight, and the consequences of errors shape the scope?

TECHNICAL DOMAIN

AI / LLM / MCP
products.

Alongside industry experience, AI, large language model, and Model Context Protocol product work provides technical context for solution and security discussions.

Follow what the system can access and do.

Consulting questions can include how instructions and retrieved information are handled, which permissions connected tools use, what information crosses a boundary, and where people should review outputs or approve actions.

This is a technical specialty, not a separate industry or a claim of certification. The actual engagement determines the components, access, and depth of advice or assessment.

Explore AI security & architecture
HOW THAT CONTEXT IS USED

Understand the setting.
Make the choices explicit.

01 / BUSINESS

Start with the decision.

Understand the goals, constraints, people, and operating context before choosing tools or architecture.

02 / TECHNICAL

Expose the trade-offs.

Compare options, data needs, access boundaries, dependencies, and how a proposed approach could fail.

03 / PRACTICAL

Define the next step.

Agree on the questions, outputs, responsibilities, and validation that would make the engagement useful.

Industry background does not establish a particular regulatory credential, compliance conclusion, or guaranteed outcome. Requirements that need specialist legal or regulatory advice should be identified and scoped with the appropriate advisers.

BRING YOUR BUSINESS CONTEXT

What decision
do you need to make?

Start a conversation