1 week
AI Opportunity Audit
Find the highest-ROI AI workflows, assess data readiness, and leave with a build plan.
Forward-deployed AI engineering
Production AI systems for teams ready to move past prototypes.
I embed with founders, operators, and technical teams to build AI agents, RAG systems, and workflow automation around real data, real tools, and measurable business outcomes.
10+ years in data science and AI engineering RAG, agents, MLOps, full-stack analytics Florida-based, remote globally
Workflow deployment map v1
Workflow Data Retrieval Agent Review Deploy
ROIranked before build
Evalsfrom day one
Usersin the loop
Opsobservable after launch
The gap
Most AI efforts stall between the demo and the operating system.
The hard parts are workflow fit, data access, evaluation, reliability, adoption, and integration with the tools people already use.
AI pilots without measurable ROI.
Knowledge trapped in documents, tickets, CRM notes, Slack, PDFs, and spreadsheets.
Support and operations teams repeating manual work.
Prototypes without evals, monitoring, permissions, or ownership.
What I build
AI deployment work that connects strategy, code, and operations.
2 weeks
AI Prototype Sprint
Turn one high-value workflow into a working prototype connected to real data.
4 to 8 weeks
Production AI Workflow Build
Deploy a reliable AI workflow with integrations, monitoring, review loops, and handoff.
Proof projects
Commercially relevant AI systems, shown honestly as they mature.
These placeholders are structured around the case study fields that buyers care about: problem, workflow, stack, guardrails, and proof.
Placeholder case study
Frontline AI Virtual Assistant
Support requests are scattered across guests, tenants, operators, and knowledge bases.
- Buyer
- Hospitality and property operations teams
- Pattern
- Tenant-aware assistant with operator oversight, escalation, and grounded responses.
Placeholder case study
Investment Research Intelligence Platform
Filings, notes, thesis updates, and committee memos are slow to synthesize.
- Buyer
- Analysts, investment teams, and research-heavy operators
- Pattern
- Citation-grounded research workspace for filings, annotations, and memo generation.
Placeholder case study
AEO Content Operations Studio
Research notes rarely become consistent articles, newsletters, and reusable snippets.
- Buyer
- Expert-led B2B teams building authority for search and answer engines
- Pattern
- Human-reviewed content engine for answer-engine-ready publishing.
In progress
AI Workflow Readiness Scorecard
Teams know AI matters but cannot rank which workflows are worth building first.
- Buyer
- Founders, COOs, CTOs, and operators
- Pattern
- Interactive diagnostic that scores workflow fit, data readiness, risk, and ROI.
Working model
Diagnose, prioritize, prototype, evaluate, deploy, improve.
01
Diagnose workflow and data reality
02
Prioritize by ROI and risk
03
Prototype against real inputs
04
Evaluate quality and failure modes
05
Deploy with review and observability
06
Improve from usage signals
Readiness scorecard
Not sure where AI can create value?
The AI Workflow Readiness Scorecard will become the first diagnostic and lead-generation tool. V1 of the site reserves the path and frames the offer while the project matures.
Scorecard outputplaceholder
Workflow fit Data readiness Operational risk Build priority
Writing preview
Practical notes for operators and technical teams.
Planned article
What a Forward-Deployed AI Engineer Actually Does
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Planned article
How to Pick an AI Workflow Worth Automating
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Planned article
AI Prototype to Production: The Checklist Most Teams Skip
Placeholder for a direct, extractable article that links deployment strategy to implementation details.