Find the capacity
you didn't know you had

It's a comprehensive analysis of your workflows to identify where AI agents can augment human work. We map your processes, analyze tasks for automation potential, and create an implementation roadmap for human-AI collaboration.

Five weeks end to end: stakeholder interviews, process documentation, task and workflow analysis, and the recommendation roadmap. We can adjust scope and timeline for larger or more complex organizations.

Pricing starts at $25,000 as a fixed fee set by organization size: $25,000 for up to 750 employees, $50,000 up to 1,500, and $75,000 for 1,500 and above. The fee is set upfront and never negotiated, and it covers the full engagement led by the founder. For comparison, an equivalent diagnostic from a Big 5 firm typically runs $250,000 to $500,000 or more.

You receive detailed process maps, task-level analysis, prioritized opportunity recommendations, implementation roadmaps, change management guidance, and ROI projections—everything needed to make informed decisions about AI adoption.

Actually, that's the ideal time. The assessment isn't about implementing AI—it's about understanding your opportunity before you invest. We map your workflows, identify which tasks are candidates for AI augmentation, and give you the data to make informed decisions. Companies that assess first avoid the expensive mistake of automating the wrong things. You'll walk away with clarity whether you're ready to act now or in 12 months.

They could map workflows, but they'll likely miss the organizational design implications. IT sees technology; operations sees processes. What they don't see is how roles need to be redesigned, which tasks humans should keep for strategic reasons, and how to manage the change with your people. We bring 20+ years of organizational design expertise combined with hands-on agentic AI implementation experience. We've run these systems ourselves—this isn't theoretical for us.

Three ways. First, timeline: they'll spend 6-12 months in "discovery phase" while we deliver board-ready findings in 5 weeks. Second, who does the work: you'll get our senior practitioners, not junior consultants learning on your dime. Third, what happens after: big firms hand you a 300-slide deck and say "call us for Phase 2." We give you an actionable roadmap and can actually help you implement it—or you can take it and run. No vendor lock-in, no technology partnerships we're trying to sell you.

Then we'll tell you that—and you'll have saved yourself from a costly implementation that wouldn't have paid off. But in our experience, every organization has capacity hiding in plain sight. The question isn't whether AI can help; it's where and how much. Even conservative estimates typically show 10-20% efficiency gains in administrative and analytical functions. We use defensible assumptions specifically so you can take our numbers to your board with confidence.

We frame our work around capacity creation, not headcount reduction. When AI handles routine tasks, your people can focus on higher-value work—customer relationships, complex problem-solving, strategic initiatives. Most of our clients use the freed capacity to grow without proportional hiring, improve service levels, or redeploy people to roles that were understaffed. We also assess change management readiness because successful AI implementation depends on your people embracing it, not fearing it.

We're in the early stages of bringing this offering to market, but we're not new to organizational transformation. We've spent 20+ years helping Fortune 1000 companies redesign how work gets done—and we've implemented agentic AI in our own operations, running workflows that would have required 3-4 additional hires. We understand both the organizational design and the technology because we live it daily. Our first wave of assessments is delivering 15-25% capacity identification within the 5-week timeframe.