A-Rod Corp: AI Workforce Enablement & Custom Agent Roadmap
An on-site Prompt-a-thon for the leadership and operating teams of A-Rod Corp — followed by a multi-year roadmap of custom AI agents tied directly to their highest-leverage workflows.
The Challenge
The leadership of A-Rod Corp knew, in the abstract, that AI was about to reshape every part of their business. What they did not know was where to start. Their teams were curious but cautious. Some employees were quietly using ChatGPT on their personal accounts. Others were waiting for IT to tell them what was allowed. The leadership wanted a way to move the entire workforce — operators, finance, marketing, partnerships, and the executive office — past the curiosity stage and into hands-on, supervised practice with real workflows from their own day-to-day jobs.
They were also tired of generic AI training. They had sat through enough conference keynotes and vendor demos to know that "AI" by itself was not actionable. They wanted training built around their workflows, with their data, producing artifacts they could use the next morning — and they wanted a clear, opinionated view from a partner about which workflows should become full custom agents and in what order.
Our Approach
We co-delivered a structured, on-site Prompt-a-thon: pre-work data collection, a full day of hands-on workshop sessions with the leadership and operating teams, and a multi-year custom agent roadmap that converted the day's workflow discoveries into a sequenced implementation plan.
Implementation Phases
Worked with department leads to surface the highest-friction workflows in each function — finance, operations, partnerships, marketing — and gathered the artifacts (sample documents, sample data, sample emails) that the workshop sessions would use as live training material.
Hands-on workshop sessions with the leadership and operating teams. Each session paired a department's real workflow with live AI tooling, walking attendees through prompting fundamentals, document drafting, data analysis, and judgment calls about when to use AI and when not to. Every attendee left with at least one workflow they had personally automated.
Captured every workflow surfaced during the workshop and synthesized them into a single prioritized list — by impact, by effort, and by readiness for automation. Mapped which workflows could be solved with prompting templates, which needed lightweight automation, and which justified a full custom agent build.
Delivered a multi-year roadmap of custom AI agents tied to specific high-leverage workflows the company is now actively building. Each agent has a defined business owner, scope, and success metric, with the Prompt-a-thon serving as the shared context for the entire program.
System Architecture
Department workflows, sample documents, leadership goals, real operational data
- Pre-work workflow discovery with each department lead
- On-site Prompt-a-thon with hands-on workflow automation
- Workshop artifact capture for downstream synthesis
- Workflow prioritization by impact, effort, and AI readiness
- Multi-year custom agent roadmap with owners and success metrics
Trained workforce, prioritized workflow inventory, custom agent roadmap, active build pipeline
The Prompt-a-thon is intentionally not a demo. Every session uses the company's real data and produces an artifact the team can keep using.
Results & Impact
Leadership and operating teams trained together on their own workflows, not generic examples
Multi-year custom agent build pipeline with defined owners, scope, and success metrics
Specific use-case agents now in active development against the roadmap