Meet the Leader

Kyle Castor on value creation in basis points

Kyle Castor, Founder & Principal Architect  •  61 seconds  •  Captions  •  AI-rendered presenter from the studio portrait

Transcript

00:00To private equity sponsors and operating partners here in Las Vegas: your post-acquisition value creation shouldn't be trapped in forty-page slide decks.

00:11At DataOngoing, we measure our work strictly in basis points of EBITDA. Two hours of executive input returns hundreds of automated hours, proven in our 100x time ledger.

00:24First, a 48 to 72-hour AI technology diligence read to price technical debt before wiring capital. Second, compressing your 21-day multi-entity close down to 3. Third, automated floor-to-ledger data ingestion straight into NetSuite.

00:44We ship working code in 14-day sprints. If it does not run in production, the milestone is not billed. Visit DataOngoing.ai to schedule a private advisory session.

  1. How we work →
  2. Read the results ledger →
  3. The productized offers →
  4. The Basis-Point Sprint →

Every figure in the brief is published on this site with its source class; the chapter links go to those pages.

Home / Proof / Custom Netsuite Calculation Suitelet Providing Real Time Dimensional and H04038
Manufacturing, BOM & Engineering Governance

Custom NetSuite calculation Suitelet providing real-time dimensional and material density computations on transaction lines.

The business problem

What was built

Recorded outcome

BeforeAfterBusiness value
4-week consulting discovery audit costing tens of thousands.Instant, board-ready system health X-Ray generated in minutes.10x faster diagnostic turnaround at a fraction of traditional advisory cost.

Illustrative scenario built from several engagements. Figures illustrate assumptions, not a named result. Client shown as an archetype; identifiers removed by the harvest scrub (0 redactions).

Back to the proof library  •  The results ledger

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HelpAirs technology for NetSuite: the five roles a company pays for, delivered as one supervised AI service at a modeled 20-80% lower cost, with the existing team repurposed rather than replaced, and every outcome published in the results ledger with its source class. Read the ledger.

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