SextantRepresentative Sextant output — fictional company and modeled assumptions.
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01 / 14Imagine your portfolioFraming · before the diagnostic
Before we walk through this diagnostic
Representative Sextant output — fictional company and modeled assumptions.
Imagine this is one of your portfolio companies — not ours.
Continental Capital Partners is a financial services · asset management with 1,100 employees and $340M Net Mgmt Fees in revenue. You hold it for 5 years. Your IC wants to know: where is AI capital being misallocated, and where could it compound?
What you'd see
Per-process drift in dollars, defensible to a board. Not a maturity score.
What you'd own
A 28-day diagnostic, then a Discover → Empower → Build pipeline. Sequenced cycles, compounding.
What you'd avoid
The 95% who pilot AI with no measurable P&L. Sextant is the antidote to FOMO-driven AI spend.
Now the demo — same surface, your portfolio, your decisions.
02 / 14Current DriftMission Control
Current Drift · in dollars
$6.17M
across 5 core SOPs · 1,100 employees
Recoverable Drift
$4.45M
72% reduction · recurring annual
Current Drift · in hours
16,568hrs
≈ 8.0 FTE-equivalents redeployable
Drift payback
20d
payback on the diagnostic investment · full program (diagnostic + build): ~88d
03 / 14Why most AI failsMIT NANDA · 95% pilot failure
95%
of enterprise AI pilots delivered zero measurable P&L impact through 2025. The 5% that didn't routed the right model to the right task — and measured the right outcomes. Continental Capital Partners's diagnostic identifies which 5%.
MIT NANDA GenAI Divide Report · 2025 · n=312 enterprises
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