Week 1
Quick wins with low overhead
Find clear leakage fast: idle resources, duplicate tools, and usage drift that can be fixed quickly.
SMB-First Product Preview
Cloud + AI Spend Intelligence Built for SMB Operators
This preview is designed for lean teams that need AI adoption with tighter spend control. Most teams start with quick wins first, then add deeper contract, partner, or governance checks only when relevant.
AWS
Google Cloud
Azure
Oracle Cloud
SMB-first outputs
Quick wins first
Advanced checks optional
Readiness
Built for lean teams first, with depth ready when needed
You do not need a huge environment to get value here. The first layer is practical and SMB-friendly; deeper layers are turned on only when your operating model requires them.
Month 1
Owner-mapped execution
Convert findings into a ranked backlog with owners, effort, and expected impact so work actually ships.
As You Grow
Optional advanced controls
Add contract, licensing, partner, and governance layers only when complexity reaches that point.
Engine Design
How the analyzer runs without adding heavy process
The tool combines spend, utilization, commitments, anomalies, and ownership context into one ranked backlog. Every recommendation includes expected impact, effort, risk, and a clear owner path.
1) Read-only ingest
Normalize billing exports, usage APIs, tags, and commitments into one decision view.
2) Quick-win diagnostics
Detect waste patterns like idle assets, commitment gaps, storage mismatch, and avoidable transfer cost.
3) Contract and entitlement checks
Run deeper licensing and contract checks when your cloud footprint actually needs that layer.
4) Execution + governance routing
Route each recommendation to owners with light governance so savings are implemented and sustained.
SMB Output
What SMB teams get first from this tool
The default output is practical and execution-ready: where money leaks, what to fix first, and who owns each move.
Cost leakage map
Clear view of what is wasting budget
Find idle resources, over-allocation, duplicated tooling, and spend anomalies in one pass.
Prioritized backlog
Ranked actions by impact and effort
Get a focused sequence of actions so lean teams can ship savings without adding heavy process.
Owner-ready plan
Who does what and by when
Recommendations are mapped to owners and risk levels so improvements are measurable and trackable.
Advanced Coverage
Deeper checks are available, but not required on day one
If your environment needs more depth, the same engine can activate advanced layers without changing the core SMB workflow.
Contracts and licensing
Entitlement and commitment checks
Use this layer when licensing complexity or contract structure starts affecting margin and risk.
Partner routing
Best-fit execution support
Match high-impact tasks to the right delivery lane when you need external help to move faster.
Governance
Controls that keep gains from drifting
Add owner and policy controls as you scale so savings persist and AI usage stays disciplined.
Product Walkthrough
Locked interface preview with simulated outputs
The execution controls are locked, but the dashboard below is populated from internal simulations so you can inspect expected output quality.
Ingestion
Quick Wins
Contracts
Execution
Governance
Preview Mode: Locked
Priority
Category
Recommendation
Cloud
Monthly Save
Effort
Execution recommendations
Governance actions
Simulation Validation
Simulation runs used to validate output quality
These sample runs come from the built-in simulation engine and are used to test ranking consistency across lean and growing team profiles.
Simulation output is synthetic and used for validation. Live customer runs use tenant-specific data with human review before action.
Pilot Path
Free first validation before any paid engagement
The goal is simple: prove useful output on real business context first. If the tool creates clear value, then we scale the engagement.
Step 1
Book a free SMB check
We quickly assess your current stack and identify where fast wins are most likely.
Step 2
Run a guided preview analysis
We walk through output quality together and map findings to your real operating priorities.
Step 3
Decide next move from evidence
If the output is strong, we scope implementation. If not, we stop early and keep learning.
Start free. Scale only when results are clear.
The tool is being validated through live delivery. Start with a free check and move into deeper work only after clear value is visible.