About Us

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You've built the frameworks. You've run the bootcamps. You've got the scorecard. But somewhere between the deal thesis and Day 180, value leaks out and nobody can pinpoint exactly where. 

The decisions that don't have clear owners. The processes that exist in the playbook but not in practice. The lessons learned that never made it into the next integration.

We assess 121 critical integration capabilities, not what your playbook says, but what your teams actually do, and deliver:

• What percentage of critical integration decisions you're actually making vs. letting slip through the cracks
• How compliant your teams are with defined playbooks and integration processes
• Which integration capabilities are mature vs. which need infrastructure before your next deal
• Whether your workstreams are tied to deal value drivers or just activity without accountability
• Your top 10 highest-leverage improvements ranked by impact on deal outcomes and feasibility

Here's what we typically find. Most integration teams are making 70-80% of critical decisions, following their playbooks inconsistently across workstreams, and missing the governance infrastructure to track whether synergies are actually being captured.

We find the gap. You close it.

Something has shifted. You've acquired companies and need to sell their products through your GTM. You're launching AI products alongside your core. Leadership is pushing multi-product expansion and reps keep defaulting to what they know.

When strategy shifts, most companies layer on SPIFs and hope for the best. The underlying decisions stay anchored to the old reality. Reps respond rationally. The new motion stalls.

We assess 20 critical GTM decisions and show you exactly what's blocking your transition:

• Which decisions are aligned to your current strategy vs. anchored to your old one
• How sensitive each decision is to strategic execution
• How difficult each decision is to change
• Which decisions are blocking the transition vs. which can wait
• Your sequenced roadmap for what to move in 30 days, 90 days, and beyond

Here's what we typically find. Most companies in transition have 70-80% of their GTM decisions still aligned to the old strategy. 

We find the blockers. You move them in sequence.

You're running pilots, hiring data scientists, buying platforms. But which AI operational capabilities are actually in place? 

Which processes are mature versus missing? Where should you invest to move from pilots to production at scale?

We assess 90 critical AI COE capabilities across governance, infrastructure, deployment, and value measurement:

• What percentage of critical AI decisions you're making vs. missing
• How mature your decision infrastructure is across documentation, governance, and ownership
• How compliant your teams are with defined AI processes
• Which capabilities can be automated vs. need human judgment
• Your top priorities ranked by value impact and feasibility

Here's what we typically find. Most organizations are making 60-70% of critical AI decisions, following their own AI processes inconsistently, and missing the measurement infrastructure to know what's actually working.