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 100x 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.

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Reach Kyle Castor directly: book a 20-minute call below or send the brief through the form, which goes to him and not to a sales desk. The direct email and phone number are shared in the receipt of a verified request. For a live deal, describe the target's industry, the ERP it runs, and the date you need the read by. For a portfolio company, name the leak you want gone and its revenue base so the basis-point target is checkable. Keep confidential documents and access details out of this form.
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What you can ask for

EngagementTurnaroundYour timeWhat you get
48-72 Hour AI Technology Diligence Read48-72 hours from access2-3 hoursRisk matrix scored and prioritized for the investment committee; Customization and integration inventory with deprecation exposure
Two-Week Basis-Point Sprint14 days3-5 hoursWorking code in production (SuiteScript 2.1, Map/Reduce, Suitelet, RESTlet or an agent with a schema contract); Automated deployment pipeline from sandbox to production
One-Set-of-Books Close Automation100 days6-10 hours across the programHarmonized chart of accounts and subsidiary hierarchy; Automated intercompany eliminations and reconciliations
Floor-to-Ledger Device and Document Automation2-3 week sprint per site3-4 hours per siteEdge bridge from scales, scanners and printers into fulfillment and receipt records; AI OCR intake pipeline with schema validation and exception queue
Same-Day PE M&A Cryptographic NetSuite Consolidation (24-Hour Audit Vault)24 hours from archive drop3-4 hours4 NetSuite Custom Records (customrecord__do_ma_source_vault, customrecord__do_ma_master_crosswalk, customrecord__do_ma_fin_audit_ledger, customrecord__do_ma_lot_trace_chain) deployed via SDF; Summary opening-balance journal entries plus open AR/AP subledger cutover balanced to the cent
NetSuite Digital Marketing & B2B Inventory Bundle14 days from account access3 hoursSDF bundle: customrecord_do_dm_campaign_ledger, customrecord_do_dm_sku_feed_rule, customrecord_do_dm_video_ad_asset and customrecord_do_dm_sales_attribution, deployed from source control; Five-channel inventory feed governor (do_mr_inventory_omnichannel_sync.js): 15-minute cadence plus fulfillment and receipt events, safety-stock pause, aged-lot clearance variant after 90 days
Consolidation assessment1 week2 hoursChart of accounts mapping, entity sequencing, close-calendar target, fixed-price sprint plan
Emergency triageImmediateAs neededA closing acquisition or a failing floor integration that cannot wait

What happens after you submit

The form is stored privately and routed to Kyle Castor; there is no sales development rep and no qualification call. The reply comes from the person who will do the work, and the first conversation is the scope conversation. The full sequence from intake to read-out, and how few of your people it involves, is walked through in the dialogues on how discovery happens.

What helps us move fast

Confidentiality

All analysis is performed on anonymized, PII-restricted data under strict non-disclosure. We sign your NDA, not ours. Nothing from an engagement is published without written approval, and then only as an archetype. Where a model reads your records, the model, the endpoint and what is masked are your choice: where your data goes when a model reads it.

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