You don’t need “more AI ideas.”

You need AI that ships, integrates with your systems, and drives measurable outcomes.

I help teams go from curiosity to production with practical, secure AI solutions across customer experience, operations, and revenue growth.

What I do

AI Strategy + Roadmap

Clear priorities, realistic timelines, and ROI you can defend.

  • Opportunity mapping across teams and workflows

  • Use case prioritization by impact, risk, and effort

  • Build vs buy recommendations

  • AI governance, security, and rollout planning

Rapid Prototyping and Pilots

Fast proof that something works, with a path to production.

  • 2 to 6 week pilots with defined metrics

  • UX prototypes and working demos

  • Feedback loops with real users

  • Pilot results and scale plan

AI Automation and Agent Workflows

Turn repetitive work into reliable workflows.

  • Support and operations copilots

  • Triage, tagging, routing, and summarization

  • Document intake and data extraction

  • Internal knowledge assistants (SOPs, policies, playbooks)

Search, Recommendations, and Personalization

Help users find what they need, faster.

  • Natural-language search over catalogs and content

  • “Similar to this” visual and semantic matching

  • Next best action and next best product recommendations

  • Personalization tied to conversion and retention

Data Readiness for AI

AI is only as good as the underlying data.

  • Data quality audits and normalization

  • Taxonomy and attribute standardization

  • Knowledge base cleanup and structure

  • Evaluation datasets and measurement frameworks

Vendor Selection + Implementation Oversight

Choose tools intelligently, then make them work inside your org.

  • Tool shortlists based on your current stack

  • RFP support and vendor scoring

  • Integration planning and implementation guidance

  • Change management and enablement

Typical outcomes

  • Faster customer support resolution with lower ticket volume

  • Better search and discovery, higher conversion rates

  • Reduced manual ops work through automation

  • Cleaner product and content data, less internal friction

  • Faster supplier or partner onboarding

  • More confident decision-making with better analytics

How engagements work

Option 1: AI Discovery Sprint (2–3 weeks)

A focused engagement to define the best opportunities and the plan to deliver them.

  • Use case shortlist and prioritization

  • Data readiness assessment

  • Architecture and tooling recommendations

  • Pilot plan with success metrics

Option 2: Pilot Build (4–8 weeks)

Build and validate one or two high-impact solutions.

  • Working prototype or pilot in your environment

  • Measurement framework and evaluation

  • Launch plan and rollout support

Option 3: Fractional AI Solutions Lead (monthly)

Ongoing leadership to keep execution moving.

  • Weekly working sessions with your team

  • Vendor and stakeholder management

  • Roadmap delivery and iteration

  • Team enablement and documentation

Who I work with

  • Marketplaces and ecommerce

  • SaaS and B2B services

  • Ops-heavy teams with lots of process and documentation

  • Companies that want results, not experiments

Let’s talk

If you want AI that integrates cleanly and shows measurable impact, I’d love to help.