Pod, node, cluster, daemonset, replicaset, deployment and namespace-level cost and rightsizing
EKS, AKS, GKE, OpenShift, and self-hosted clusters. Rightsizing recommendations with confidence intervals. Bin-packing and GPU pool optimization.
Solutions by persona
FinOps that speaks every team's language.
Value reads differently to a platform engineer than to a CFO. DigiUsher ships pre-built dashboards for every FinOps Foundation persona: operational from day one, staged against the Crawl-Walk-Run maturity model, so each role gets the surface, vocabulary, and signals they actually need.
FinOps Foundation framework
Five personas. Three FinOps phases. One operating model.
| Inform Visibility & allocation | Optimize Rate & usage | Operate Continuous improvement | |
|---|---|---|---|
| Engineering | Real-time cost feedback per service | Rightsizing · bin-packing · GPU pools | CI/CD guardrails · PR cost checks |
| Finance | Sequenced chargeback finance can defend | Commitment & RI/SP modeling | Forecast with confidence bands · close |
| FinOps | Dynamic allocation engine · FOCUS schema | Optimization backlog & savings tracker | Policy-as-code · culture KPIs |
| Executive | Unit economics · cloud + AI ROI | Strategic commitments | Board-ready dashboards · capital governance |
| Procurement | Marketplace & private offer visibility | MACC / EDP drawdown optimization | Vendor consolidation · renewal triggers |
01 Engineering · Platform · SRE
Ship fast, without becoming the team that owes Finance $400K.
For engineers building on Kubernetes, public cloud, and AI workloads who want cost feedback during development, not in next month's invoice review.
Book an engineering discovery call- <5 min cost data freshness
- 22–34% typical Kubernetes savings
- PR checks guardrails in CI/CD
Jobs to be done
- Know the cost of what I'm shipping: before code reaches production, not after the bill arrives.
- Avoid the tagging tax: get attribution without spending sprints on tag hygiene.
- Right-size confidently: with data, not guesswork or blanket "save 20%" mandates from above.
- Stay out of the war room: catch the anomaly that would have caused it, hours earlier.
- Keep velocity: guardrails that guide, not gates that block.
What DigiUsher gives you
Guardrails in CI/CD
Policy-as-code checks surface in GitHub and GitLab pull requests. Landing-zone templates with cost limits baked in. Automated tagging policy and drift detection. Build governed workflows on the ecosystem you already run: your AI agents, your automation tools (Zapier, Automation Anywhere, UiPath) and your CI/CD environments (GitHub, Azure DevOps).
Anomaly routing
Spend anomalies routed to the owner through the channel of your choice, with full context. Forecasts with explicit confidence bands.
GPU and token governance
Azure OpenAI, AWS Bedrock and Google Vertex AI tracked at the token level. GPU pool utilization, training versus inference split, cost per model.
DigiUsher is intuitive and easy to use. It's helped us streamline our cloud operations and improve our overall efficiency by 80%.
02 Finance · CFO · FP&A · Controllers
Close the books on cloud spend, predictably and monthly.
For finance teams who need allocations they can defend, forecasts that hold, and a single cost dataset that reconciles across cloud, on-premise, data, and AI.
Book a finance discovery call- 25% cost reduction (DataWeave)
- FOCUS 1.0 vendor-portable schema
- Fixed annual subscription, not % of spend
Jobs to be done
- Reconcile the cloud bill to the GL: without three spreadsheets and a manual cleanup pass.
- Defend chargebacks in a quarterly review: with allocations engineering won't argue with.
- Forecast next quarter: with confidence bands a board will accept.
- Stop paying for what we don't use: surface commitment waste before renewal.
- Make spend portable: own a dataset that survives a vendor switch.
What DigiUsher gives you
Auditable sequenced chargeback
Shared services → platform → product. Tag-assisted attribution with usage fallback. Finance-ready reports out of the box, exportable to your GL.
FOCUS-native engine
The FinOps Open Cost & Usage Specification: the same fields across AWS, Azure, GCP, OCI, Kubernetes, Anthropic, Databricks, Snowflake, OpenAI and MongoDB. Procurement-clause compliant. Your dataset is portable.
Forecast with confidence bands
Per-product and per-business-unit forecasts with explicit upper and lower bounds. Variance flagged automatically against budget.
Flat subscription pricing
No percentage of spend. EDP- and MACC-eligible. Marketplace billing through private offers, direct or through partners.
DigiUsher has transformed our cloud financial management. We've reduced our cloud costs by 25% and gained unprecedented visibility into our spending.
03 FinOps Practitioners · Cost Engineers · Cloud Economists
Build a FinOps practice that proves its own ROI.
For the people who hold the bridge between engineering and finance: the savings tracker, the policy maker, the one explaining unit economics to anyone who'll listen.
Book a FinOps discovery call- FOCUS native, not bolted on
- Policy-as-code guardrails & tagging
- Savings tracker with attribution
Jobs to be done
- Quantify the FinOps function: show realized savings with clean attribution.
- Drive engineering buy-in: make cost a signal in their tools, not a finance meeting.
- Scale policy without scaling headcount: codify the rules, automate the enforcement.
- Bring AI and Kubernetes into the same model: without two more dashboards.
- Hit FinOps Foundation maturity targets: Crawl → Walk → Run, measurable.
What DigiUsher gives you
Dynamic allocation engine
Usage-based allocation with tag-assisted attribution. Sequenced chargeback for shared services. Cost per customer, model, query, or business outcome.
Policy-as-code
Tagging policies, commitment rules and the optimization backlog, all in version control. Drift detection. Governed approval workflows built on the ecosystem you already run.
Savings tracker
Every optimization tracked from proposal → approved → realized. Attribution to the team that made it happen. Board-ready FinOps ROI report.
Composable workflow automation
Compose your existing AI and RPA stack into governed workflows, with change management built in. No vendor-fixed automation modules.
04 Executive · CIO · CTO · CEO · CFO
Govern cloud and AI like a regulated capital asset.
For leaders accountable to a board for cloud and AI investment, and for the unit economics question that will not go away.
Book an exec briefing- SaaS · Managed · BYOC flexible deployment
- SOC 2 · GDPR CISO-ready architecture
- Board ready dashboards out of the box
Jobs to be done
- Answer the board on AI ROI: with unit economics, not vibes.
- Tie cloud and AI spend to business outcomes: cost per customer, per product, per transaction across multiple dimensions.
- De-risk regulated workloads: keep cost data inside your VPC where compliance requires it.
- Move from cost-cutting to value creation: predictable spend, accountable growth.
- Govern technology investment like capital: gates, reviews, returns.
What DigiUsher gives you
Capital-asset-grade ROI view
Cost mapped to product, customer and transaction. AI investments tracked from training spend → inference cost → revenue attribution. Capex-style governance gates.
Flexible deployment
DigiUsher runs as SaaS, as Dedicated Managed SaaS, or entirely inside your own AWS, Azure, GCP or data center account under the BYOC model.
Board-ready dashboards
One-page executive view: spend, forecast, savings, AI ROI, risk posture. Quarterly snapshots. No "ask the analyst", because the report is the dashboard.
Compliance for regulated workloads
SOC 2 Type II and GDPR. CISO-ready architecture brief. Pinned regions for data residency.
05 Procurement · Vendor Management · Sourcing
Make every cloud commitment count.
For procurement teams managing MACC, EDP, and private offer agreements across hyperscalers, and the shadow IT marketplace spend that never made it through your process.
Book a procurement discovery call- CPPO · MPO consolidated billing partner offers
- MACC · EDP drawdown optimization
- Renewal triggers & commitment alerts
Jobs to be done
- Hit MACC and EDP drawdown: without paying the over-commit penalty.
- See every private offer: including the ones marketing bought through marketplace.
- Consolidate vendor sprawl: surface overlapping SKUs across business units.
- Negotiate from data: actual consumption curves, not vendor forecasts.
- Trigger renewals at the right time: before the auto-renewal locks you in.
What DigiUsher gives you
Marketplace and private offer visibility
Every AWS, Azure, GCP and OCI marketplace purchase visible, including private offers and CPPO co-sell deals. No more invoice-line surprises.
MACC and EDP drawdown tracking
Track commitment consumption against drawdown targets in real time. Alerts when you are under-pacing, or about to over-commit at renewal.
RI, SP and commitment optimization
Reserved Instances, Savings Plans and reservation portfolios modeled against actual usage. Recommendations with realized savings tracking.
Vendor consolidation signals
Overlapping SaaS and cloud SKUs surfaced across business units. Renewal-window triggers fire 90, 60 and 30 days out, so nothing auto-renews by accident.
One platform · five surfaces
Different views, one source of truth.
Each persona sees what they need, but it is the same FOCUS-native dataset underneath. When the CFO and the platform lead disagree about a number, they are looking at the same number.
FOCUS-native engine
One cost dataset · five persona surfaces · zero translation
Engineering K8s · CI/CD · GPU
Finance Chargeback · forecast · GL
FinOps Allocation · policy · savings
Executive ROI · board · risk
Procurement MACC · renewals · vendors
Find the persona that lives closest to your KPIs.
Tell us your role and we will shape the 15-minute discovery call around it.