The PRIME Framework

Before anyone recommends a tool, we map the landscape. Where does AI actually create value in your business — not in theory, but in the specific workflows your team runs today?

This phase covers a structured review of your current processes, data assets, team capabilities, and strategic priorities. The output is a ranked list of AI opportunities with estimated effort and impact for each. You'll know exactly which problems are worth solving and which vendor pitches to ignore.

Most AI strategies are either too vague ("we'll use AI to improve efficiency") or too tactical (a list of tools). Neither is useful.

This phase produces a 90-day execution plan tied to specific business outcomes. Priorities are sequenced by impact and dependencies — quick wins first, foundational investments second. You'll have a plan your team can execute without a dedicated transformation program or a change management consultant.

Good implementation planning prevents the most common failure mode: deploying AI tools that nobody uses six months later.

This phase selects the right tools for your specific use cases, designs the workflows, defines success criteria, and sequences the rollout. The plan accounts for your team's technical capacity, change tolerance, and existing systems — not an idealized scenario.

This is where I work alongside your team, not hand them a document and leave.

Hands-on implementation varies by engagement: building automation workflows in n8n or Clay, deploying custom Claude Code or ChatGPT integrations, configuring Copilot for your Microsoft 365 tenant, or migrating existing processes onto AI-augmented workflows. I build it, document it, and make sure your team understands what they've got.

Implementation without adoption is expensive shelfware. Most AI initiatives fail here — not because the tool didn't work, but because nobody taught people how to use it in the context of their actual job.

Enablement is role-specific training: what does this mean for your salespeople, your ops team, your marketers? How does it change their daily workflows? What does "good" look like? This phase also covers adoption measurement — how do you know whether AI is actually being used, and where it's delivering results.

Targeted enablement is how we push adoption past 70%, which is the number that actually moves the business.