Is this a one-time engagement or ongoing?

Both models work — a focused audit/review engagement for a specific decision, or an ongoing fractional arrangement if you want continuous technical input as you build.

Do you work directly with our engineering team?

Yes, that's usually where consulting adds the most value — pairing directly with your engineers rather than handing over a report nobody implements.

Can consulting lead into a hands-on build engagement?

Often does. Many consulting engagements surface a clear build scope, which then rolls into AI/ML, web, or SaaS development work directly.

An outside technical read on your AI roadmap

Fractional AI/ML advisory for teams deciding what to build, buy, or skip — architecture reviews, feasibility audits, and hands-on technical guidance without a full-time hire.

Start a project

The problem

What this solves

AI moves fast and it's easy to either over-invest in infrastructure you don't need yet or under-invest and end up with a fragile prototype pretending to be a product. Most teams need an experienced outside read before committing engineering months.

Deliverables

What's included

AI feasibility audits — what's realistic to build, at what cost, on what timeline
Architecture review of existing or planned AI systems
Build-vs-buy guidance for models, vector databases, and AI infrastructure
Technical due diligence support for AI-related investment or acquisition decisions
Hands-on pairing with your engineering team during implementation

Process