FogLifter® - The Engine Behind IT's Most Trusted Data Platform
Short walkthroughs and guided previews that explain how FogLifter® moves from raw data to decision-ready answers.
Former CIO of Raytheon Legacy and RTX, AJ Jones, talks through the IT financial challenges that led to FogLifter® — inaccurate chargebacks, sprawling infrastructure, and what changed when the data became trustworthy.
Each clip links directly to the relevant moment in the full video. Pick what's most relevant to where you are in the evaluation.
AJ Jones describes inheriting a sprawling infrastructure and the core problem: business units pushing back on inaccurate chargeback bills with no reliable data to settle the dispute.
Watch clipBusiness units were receiving bills for storage that had been decommissioned months earlier. Without visibility from infrastructure all the way through to the invoice, automated billing just passed on inaccurate numbers.
Watch clipOnce reports started coming in, AJ's team could immediately validate their asset counts, check SLA delivery, and get accurate bills to business units on time — shifting from a reactive firefighting posture to a trusted internal service provider.
Watch clipAJ explains how accurate, on-time invoices changed the relationship between corporate IT and business units — from one of tension and suspicion to a collaborative partnership where business units started bringing IT into strategic planning.
Watch clipThrough mergers, acquisitions, and leadership changes, asset visibility gets lost organically. This clip covers how FogLifter pulls together sprawling infrastructure data — and how NLQ lets teams ask plain-language questions about what they have right now.
Watch clipWhen bills are accurate and trusted, business units stop challenging IT and start asking it for help. AJ describes the moment the relationship shifted — from cost center to strategic partner helping the business meet its financial targets.
Watch clipVisibility into device age and utilisation patterns turned FogLifter into a planning tool. AJ explains how the data helped his team identify ageing racks that needed replacing — and build the business case to fund it — rather than endlessly patching failing systems.
Watch clipWhat does it actually mean to run IT like a P&L? AJ describes how FogLifter gave his team the reporting discipline — chargeback accuracy, decommission tracking, consumption visibility — that senior leadership expects from every other function in the organization.
Watch clipA concise, direct answer: the ability to walk into a room and say "I know my business" — backed by data — is what puts IT on equal footing with finance, operations, and engineering at the leadership table.
Watch clipTBM isn't a framework — it's a discipline. AJ explains how FogLifter operationalises it: answering what you have, what you need, and how to get there, with the credibility to justify future investment requests to the CFO and COO.
Watch clipShort platform walkthroughs from the FogLifter resource library — for a quick look at the product without a live session.
Short walkthroughs and guided previews that explain how FogLifter® moves from raw data to decision-ready answers.
From data ingestion to validated answers — a concise walkthrough of the operating model, the ontology layer, and where AI fits in.
Videos are one way to understand the platform. The pages below offer written guides, outcome evidence, and a calculator.
Examples of cost confidence, dispute reduction, and faster decisions from live deployments.
Metrics, trust markers, and implementation evidence for evaluators building an internal business case.
Estimate the impact of improved data confidence using your own environment numbers.