Services
This page explains the kinds of workflow, integration, automation, and dependable system problems I solve. AI, dashboards, and data pipelines are supporting tools when they make the workflow better.
Framed around business problems and outcomes before technical labels.
Problem: Leads get lost when calls, follow-up, and CRM updates depend on manual steps.
What I help with: Event intake, follow-up routing, and data capture that can support later StormIQ-style automation.
Outcome: Faster response, cleaner handoff, and fewer missed opportunities.
Problem: Important information is stuck across forms, inboxes, spreadsheets, CRMs, and internal tools.
What I help with: VIFG delivery infrastructure and current public-site support work.
Outcome: The right information gets where it needs to go without staff re-entering it.
Problem: Teams spend too much time routing requests, checking status, and pushing work to the next step.
What I help with: DGM-style orchestration patterns for reviewable multi-step workflows.
Outcome: Routine work gets handled automatically so the team can focus on decisions that matter.
Problem: Useful operational decisions depend on messy files, dashboards, documents, or AI helpers that need guardrails.
What I help with: WeatherForge and RAGeATM show the technical side of this work as prototype and academic proof.
Outcome: Practical dashboards, data pipelines, or grounded assistants that support the workflow without becoming the whole strategy.
Problem: A tool that looks good in a demo but breaks in real use creates more work than it saves.
What I help with: VIFG production platform on AWS plus ongoing public-site stewardship.
Outcome: Delivery includes deployment and ongoing reliability so the system stays useful after launch.
This is usually a fit when one of these is already causing friction.
Simple, scoped, and tied to the workflow that needs to improve.
Start with the workflow, the bottlenecks, the users, and the manual work that is actually costing time or revenue.
Map the system, data movement, rules, edge cases, AI/data boundaries if relevant, and handoffs before choosing what gets automated.
Implement the workflow, integration, UI, backend, dashboard, assistant, or internal tool needed to make the system usable in real work.
These are tools inside the delivery work, not a replacement for workflow analysis, integration discipline, and operational reliability.
Start with VIFG for public production proof. WeatherForge and RAGeATM are technical examples with prototype or academic limits.
Send the workflow, handoff, lead process, data movement, internal tool, or AI-assisted workflow idea. I will help decide whether a small build or technical review is the right first step.
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