Industries

Vertical knowledgewhere it matters.

The underlying architecture is reusable. The operating model is not generic. Every industry has different rules, entities, approvals, data boundaries, economics, and exceptions, so I pair one architecture with industry-specific operating knowledge, not a generic AI pitch retitled six ways.

Primary

Wealth & Financial Services

Operating intelligence for firms where client service, compliance, data, and internal coordination can't be treated as separate systems. My deepest operating knowledge is here.

See the fit

Adjacent

Insurance

Connecting intake, underwriting inputs, service, renewals, and communications around one operating context.

See the fit

Adjacent

Legal

Private operating intelligence for firms built around matters, deadlines, documents, and professional judgment.

See the fit

Adjacent

Accounting & Professional Services

Turning recurring client work, document collection, and deadlines into a persistent operating system.

See the fit

Operating

Multi-Location & Service Businesses

Agentic operations for businesses where missed demand and fragmented locations directly affect margin. My strongest existing proof lives here.

See the fit

Proven

Ecommerce & DTC

Order, fulfillment, customer service, and ad creative production for direct-to-consumer brands. The creative production piece is already running in production today.

See the fit

Experimental

Other complex operations

The architecture transfers well beyond these six. If the shape of your problem matches, industry alone isn't a disqualifier.

Ask about the fit

FAQ

Before you look for your industry.

Do you only work with the six listed industries?

No. The architecture transfers well beyond these six. They are where I have the deepest operating knowledge, not a hard boundary. If the shape of your problem matches, industry alone is not a disqualifier.

Why does industry knowledge matter if the architecture is reusable?

Every industry has different rules, entities, approvals, data boundaries, and exceptions. A generic AI pitch ignores that. I pair one reusable architecture with the operating knowledge specific to how your industry actually works.

What if my industry isn't listed?

Tell me about the operation. What matters is real volume, real stakes, and manual work that is costing you time or money, not whether your industry has its own page yet.

Don't see your industry?

What matters is the shape of the problem: real volume, real stakes, and manual work that's costing you time or money.