Integreon

It’s funny to work with someone all the time and only see them in person once every blue moon. Modern life, I suppose. Fab to see you, as always, Scott Bien in this wonderful Windy City. #CLOC Integreon

To the Integreon team: a heartfelt thank-you. Earning this kind of honor from a marquee client, Toyota Motor North America, is the truest measure of achievment.

We drink the koolaid and wear the swag at Integreon for a reason. Another great opportunity to meet leaders executing innovative change in the delivery of legal services. With Diane Homolak - and all the cool kids of legal ops. #ACCLOC26 . See you at CLOC, Chicago!

Today started with some great eye-opening notes from Tracy Lee Kus , followed by great post lunch sessions with Anthony Hess , Alanna Dent and Justin Tivey on the HITL and Technology elements for PII review and data mining. Followed by a thought provoking discussion on Supply Chain Risk with Vinodpal (Vinny) Minhas , William Finley and Alex King . Great conference as always Zywave , looking forward to more great conversations over a beer in the sun with friends post 5pm! Integreon , #databreaches #datamining , #HITL

Twenty-one years as an attorney — nine as a JAG officer, seven on the carrier side of cyber claims at two of the largest programs in the market, and the last year on the provider side. A pattern worth naming for any claims leader running CIR panel reviews this year: Most data mining vendors quote Phase I at a flat rate. For the carrier, this looks like cost certainty. It can also be a trap. Here's how the trap works. The flat Phase I rate is priced to win. Phase II is estimated low enough to keep the aggregate budget palatable at intake. Once the vendor is retained and mid-review, the uplift requests start — one, two, three, sometimes more. Each one individually defensible on scope-change grounds. Collectively, they represent the real price the vendor never quoted at intake. The diagnostic isn't whether Phase I came in at quote. It almost always does. The diagnostic is the Phase II uplift cadence. One uplift on a matter where the dataset genuinely expanded is normal. Three or four sequential uplifts on the same matter is a pricing strategy, not a delivery reality. Five things the carriers managing this well do at engagement: — Require a written scope-change protocol up front. Every uplift flagged, documented, and re-approved in real time. — Track aggregate budget visibility, not just Phase I and Phase II as separate lines. Total expected spend through notification, with uplifts tested against the aggregate. — Push vendors on honest Phase II scoping. A tight, defensible Phase II quote at intake is worth more than a lowball quote that gets rebuilt through uplifts. — Combine Phase I, Phase II, notification, call center, and credit monitoring with a single vendor who can take custody of the data at ingestion and carry it through to the mailing list. Splitting those workstreams across point-solution vendors is where hidden cost compounds — handoffs, reconciliation, and duplicate procurement cycles that each introduce their own version of the lowball-and-uplift dynamic. — Build in notification response visibility. A dedicated tracking portal — designed for pre-litigation notification or post-settlement claims administration depending on the matter — gives the insured a single view of notification delivery, call center inquiries, and credit monitoring enrollment. On multi-entity matters, partner business entities can opt into the same execution plan rather than standing up parallel infrastructure. Operational efficiency on the front end, litigation defense value on the back end. At Integreon, the standard we hold ourselves to: if we've ever needed an uplift on a matter, it's because the dataset the client delivered was materially different from what was quoted. Not because the original number was aspirational. Happy to talk with claims leaders rethinking panel cadence or vendor discipline this year. Blake Feldman, Esq., CIPP/US VP, Head of Insurance Carrier Channel Integreon

What happens when your AI token budget is 4x your current entire IT spend? Jensen Huang (NVIDIA) was recently asked what companies should budget for tokens. His answer: If you pay someone $250K, expect to spend $125K on tokens to make them effective. The same way we expect accountants to use Excel, not because Excel is mandatory, but because without it, they can't compete on productivity. Of course, Excel doesn't cost $125K a year today. The math is staggering: If token spend hits 50% of labor cost, and IT currently sits at 2–5% of the budget, your IT spend including tokens could skyrocket by as much as 400%. This only pencils out if AI automates substantial labor. Anthropic’s CEO recently suggests 50% of entry-level jobs could be automated. Is this the destruction of the labor market? Think of the elevator. The safe elevator didn’t just move people; it enabled the skyscraper and reshaped the modern city. It destroyed old roles but unlocked a landscape we couldn't previously imagine. AI is our new "elevator." 5 questions enterprise leaders must answer: 1. Who owns the AI platform? When token spend rivals a department's entire software budget, does procurement stay with IT, or do we need a "Chief AI Officer", enterprise-wide or for every function? 2. How do we budget for usage, not headcount? Token consumption is variable and bursty. CFOs need a model closer to Cloud FinOps than traditional software licensing. 3. Where is the talent pipeline? If we automate entry-level "training" roles, how do we develop the future leaders of 2035? 4. What is the new unit of productivity? If one human + $125K of tokens does the work of three people, are "revenue-per-employee" metrics still meaningful? 5. What is the moat? If every competitor has the same AI, the advantage shifts to proprietary data and the "human judgment layer." Are you investing there? At Integreon , we’ve introduced a Finance and IT co-Admin model for our AI platform. Decisions about tokens and productivity can no longer sit in a single silo. It is not just a technology decision, it is also a financial and value decision. How is your organization reshaping its budget for the AI era? Let’s discuss below. 👇 #AI #GenAI

Looking forward to seeing the Incident Response community, friends, colleagues, partners, and clients at Zywave London tomorrow… hoping for fewer buzzwords and more honest conversations about data exfiltration. Find me for a quick chat while we’re there. At Integreon , we bring structure to complex data exfiltration matters, helping teams control risk and keep costs where they belong.