Meet DigiUsher at Next
Meet DigiUsher at Google Cloud Next 2026 — 22–24 April, Las Vegas.
Full-stack FinOps for Google Cloud, Vertex AI, BigQuery, Google Workspace, and Gemini — on a flat licence, with three models of deployment: SaaS, Managed SaaS and Bring Your Own Cloud (BYOC).
Why this matters now
Vertex AI workloads, BigQuery slot consumption, Gemini consumption, and Google Workspace seats are now three of the top five line items on most Google Cloud invoices — and the hardest to govern with traditional CCM or showback tools.
DigiUsher is the FinOps Operating System built for that reality. One platform, one schema — FOCUS compliant — governs the full Google Cloud estate end-to-end: infrastructure, data, AI, and productivity, with unit economics tied back to the business.
What DigiUsher covers on Google Cloud
Every DigiUsher capability works natively across the Google Cloud surface area below.
Why teams pick DigiUsher over CCM / native tools
Available in three deployment models — SaaS, Managed SaaS, and Bring Your Own Cloud (BYOC). Regulated industries don't ship billing and usage data to a vendor tenant. DigiUsher deploys inside your Google Cloud project (BYOC) with a patent-pending architecture, so sensitive cost, usage, KPI and tag data stays where it belongs.
Your savings should compound as your spend grows. DigiUsher charges a predictable flat licence, not a percentage. The bigger your Google Cloud footprint, the better the ROI.
Built on the FinOps Foundation's FOCUS 1.x schema — so Google Cloud, AWS, Azure, OCI, Databricks and Snowflake costs reconcile to a common model without custom ETL.
Recommendations don't sit in a dashboard. DigiUsher surfaces them via your existing tools and ecosystem; adopts your change management processes and applies the remediations. Plugs into GitHub Copilot, Claude Code, Automation Anywhere, UiPath, n8n and Zapier.
Built with — and delivered through — global partners
GSI ecosystem
DigiUsher is delivered at enterprise scale through leading Global System Integrators — the same firms running your Google Cloud migration, data modernisation, and Gemini rollouts. That means FinOps doesn't arrive as a separate workstream; it arrives with the delivery team you already trust.
Already trusted by leading Global System Integrators such as Infosys, Wipro, Hexaware and more.
We are actively expanding our GSI ecosystem on Google Cloud. If you lead an Infrastructure, or Google Cloud practice inside a GSI — let's talk at Next about co-sell.
Trust & compliance
What you'll get from the meeting
Where your current estate sits on visibility, optimisation, and governance — benchmarked against peers.
The specific guardrails, attribution model, and forecasting controls that work for token-priced workloads.
Bring Google Workspace into FOCUS compliant schema. Everything resides at one platform.
Expand to other cloud providers, On-Premise Datacentres, Databricks, Snowflake and more.
Meeting scheduler
Lawrence Cole heads Sales and GTM at DigiUsher and will be on the ground at Google Cloud Next, 22–24 April. He hosts both customer discovery conversations and GSI co-sell discussions in person. An industry veteran with 25yrs+ experience and ex-Googler himself running multi-billion dollar business.
How it works
Choose a slot that works for you. You'll get a confirmation with the booth location and, if needed, a short prep questionnaire so we can make the 15 minutes count.
Booking as a customer or a partner? Use the meeting-type selector in the form to identify yourself — the agenda adapts automatically.
Short FAQ
Not necessarily. We are hosted in your geography — but with BYOC, billing and usage data stays inside your Google Cloud boundary. We process where your data lives.
Most Google Cloud customers see their first optimisation recommendations and a full cost map within 24–48 hours of connecting a billing export — not weeks.
It augments them. DigiUsher sits on top of Google Cloud Billing and adds cross-cloud FOCUS normalisation, unit economics, automation, and governance that the native tools don't provide — especially for Vertex AI, BigQuery, and Workspace/Gemini licences together. And even add Anthropic, OpenAI consumptions along with other cloud providers and On-Premise Datacentres.
Three common reasons: flat-licence vs. percentage-of-spend pricing, BYOC/on-premises deployment for regulated data, and a FOCUS-native engine that unifies Google Cloud, AWS, Azure, OCI, Databricks, and Snowflake without custom ETL.
DigiUsher