01 — AI Readiness Assessment
"Where are we, and what should we do first?"
Most organizations know they need an AI strategy. Few know where to start — and the wrong starting point wastes months. This assessment evaluates your organization across four dimensions: data readiness, workflow automation potential, workforce capability, and governance maturity.
- Structured interviews with key stakeholders across functions
- A workflow-level map of where AI creates value and where it doesn't
- A prioritized roadmap ranked by ROI potential and implementation feasibility
- An honest assessment of what's not ready yet — and what to fix first
Timeline: 4–6 weeks
Who it's for: Organizations early in their AI journey, or those with scattered pilots that need a coherent strategy
02 — AI Work Architecture
"Which workflows should we automate, which need human oversight, and what does our workforce need to make it work?"
This is the engagement that produces measurable ROI. I decompose your critical workflows to the task level, score each task on automation feasibility AND human judgment requirements, and design the agent architecture that connects AI to your systems — with the right human checkpoints built in.
- Task-level decomposition of priority workflows
- Automation heat map — feasibility vs. judgment requirement for every activity
- Agent workflow blueprints your engineering team can implement
- Capability gap analysis — what your people need to supervise AI effectively
- ROI projections tied to hours returned, error reduction, and capacity sustained
Timeline: 8–10 weeks
Who it's for: Organizations ready to move from "we use AI" to "AI is embedded in how we work"
03 — AI Capability Program
"How do we build an AI-capable workforce — not just AI-aware?"
Training people to use AI tools is easy. Building the judgment to use them well is hard. This program goes beyond literacy: it teaches your workforce how to delegate to AI, evaluate AI output, and maintain the domain expertise that makes AI valuable.
- Foundation Workshop — 60 minutes, hands-on, every participant leaves using AI effectively
- Use Case Labs — function-specific sessions built from your actual workflows (not generic exercises)
- AI Champions certification — power users who support their teams independently
- Measurement framework — track hours returned, quality improvement, and adoption rates
Timeline: Ongoing (pilot in 6 weeks, scale over 6–12 months)
Who it's for: Organizations that tried AI training and got polite attendance but no behavior change