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The Solution

Decision Intelligence:
Explain · Verify · Advise

A SaaS platform that connects to your cloud and makes ungoverned changes impossible to ignore.

WHAT CLOUDEVA ACTUALLY DOES
A SaaS platform that connects to your cloud.
Every ungoverned change becomes a decision.
CloudEva connects to your AWS and Azure accounts, reads every change, and creates a Decision Queue your team reviews every morning.

You connect CloudEva to your cloud via a read-only role (AWS IAM role or Azure service principal). CloudEva pulls signals from change logs (CloudTrail, Azure Activity Log), cost feeds (Cost Explorer, Azure Cost Management), and security posture (Security Hub, Microsoft Defender for Cloud). EVA — the AI engine — classifies every change, identifies ungoverned ones, and populates a Decision Queue. Your team reviews the queue, decides on each item, and CloudEva tracks whether those decisions delivered the expected outcome. Changes that nobody decides on keep resurfacing until someone does.

Connects to:
AWS CloudTrail Azure Activity Log AWS Config Azure Policy Cost Explorer / CUR Azure Cost Mgmt Security Hub Defender for Cloud IAM / Entra ID
CloudEva is read-only. It never makes changes to your cloud. It never executes without human approval (Enterprise+ only).
Get Started in 3 Steps
①
Sign Up
30 seconds · No credit card
②
Connect Cloud
15 min · Read-only IAM role or Azure SP
③
Decision Queue Ready
Next morning · EVA has processed your signals
WHO USES CLOUDEVA DAILY
Daily operators: Cloud Engineers, Platform Teams, FinOps Analysts, Security Leads — review the Decision Queue, take actions, clear governance gaps.
Weekly reviewers: CFO, CTO, CIO — MBR/QBR dashboards, EVA Score, outcome variance reports.
📅 Tuesday Morning — Your Team's First Week
9:00 AM
You log in. 5 new items in Decision Queue. An AI agent scaled your AWS RDS cluster overnight. An Azure VM was resized outside change window. Cost impact: +$1,100/mo combined
9:02
EVA explains: "AWS RDS scaled from db.r5.large to db.r5.2xlarge at 03:14 by auto-scaling rule. CPU was at 12%. No traffic spike detected."
9:03
You click Modify — right-size to db.r5.xlarge. Add rationale. Decision recorded.
9:04
Azure item: NSG rule opened port 22 to 0.0.0.0/0 by a Terraform pipeline. Defender for Cloud flagged critical. You click Accept remediation → port locked down.
9:05
AWS item: S3 bucket made public. EVA flags: no exception on file. Accept remediation. 2 remaining items deferred. Queue at zero. Total time: 5 minutes.
Next week
Outcome check: RDS right-sizing saved $400/mo. Azure VM right-sized, saving $300/mo. Security items re-secured. Deferred items resurfaced. The loop tightened.
app.cloudeva.ai / decisions / queue
Signals
Decision Queue
Records
Outcomes
5 ITEMS · AWS + AZURE · SORTED BY IMPACT SCORE
CRITICAL Azure NSG: port 22 open to 0.0.0.0/0 — prod-vnet-nsg Terraform Accept Modify
CRITICAL S3 bucket public access enabled — prod-assets-bucket Terraform Accept Modify
HIGH AWS RDS scaled to r5.2xlarge — +$800/mo, CPU at 12% Auto-scale Accept Modify
MEDIUM Azure VM resized outside change window — Standard_D4s_v3 Human Defer
LOW Unused EBS volumes detected — 12 volumes, $340/mo EVA Defer
The Decision Clarity Flow
Click any step to explore how CloudEVA turns signals into governed decisions.
SIGNAL LAYER

What Changed in your cloud?

Every infrastructure change — new resource, deleted instance, config drift, cost spike, security finding — is detected and surfaced as a structured signal across three domains: Inventory, Cost, and Security. Whether a human, an AI agent, or an IaC pipeline made the change — CloudEva classifies the actor and attributes the decision. Not raw logs. Not alerts. Decision-ready context.

✓ Inventory — what exists, what changed, what was created or deleted
✓ Cost — where spend is moving, resource-level attribution, budget tracking
✓ Security — security posture changes, findings, exposures, compliance drift
✓ Source classification: Human · AI Agent · IaC Pipeline · Auto-Remediation · System
✓ Deployment Windows — planned vs. unplanned changes flagged automatically
EVA Stage: Explain — what changed, classified and structured · Available: All Plans
3
Signal domains
Inventory · Cost · Security
312
Resources tracked live
23
Changed this week
"We went from 4,000 CloudTrail events to 23 actionable signals. That's what matters."
How the Loop Actually Works
Five stages. One cycle. Every refresh tightens governance.
1
📡
Signal Detected
Cloud change detected across inventory, cost, or security. Actor classified — human, AI agent, or pipeline.
→
2
🤖
EVA Assesses
EVA explains what changed, verifies against baselines, and advises on trade-offs. Ungoverned changes enter the Queue.
→
3
👤
Human Decides
Decision Queue surfaces what needs attention. Accept, modify, dismiss, or defer. Every action logged immutably.
→
4
📊
Outcome Checked
Did the decision deliver? Expected vs actual. Misses auto-generate new Queue items. Variance tracked.
→
∞
🔄
Loop Tightens
Next refresh reconciles everything. Gaps resurface. The only way to clear the Queue is to decide.
Signal → EVA → Decide → Outcome → Reconcile → repeat ∞
Without CloudEva vs With CloudEva
Your real competitor isn't another tool. It's the spreadsheet, the Slack thread, and the quarterly fire drill.

❌ Without CloudEVA

📊 Changes detected by 5 tools, understood by none
🤷 Cost spike → Slack thread → "who did this?" → no answer
📋 Decision made in a meeting, recorded nowhere
🤖 AI agent spins up resources at 3am, nobody notices until the bill
📅 MBR prep: 2 weeks of spreadsheet archaeology
🔓 Security finding sits for 14 days. No owner. No decision. No outcome.
🏛️ Audit: "show me who approved this" → silence

✅ With CloudEVA

📡 4,000 events → 23 actionable signals across 3 domains
🤖 Cost spike → EVA explains why, who, and what to do about it
📋 Decision Queue auto-populated. Accept, modify, dismiss — logged immutably
🔍 AI agent change attributed, classified, and surfaced before morning standup
📅 MBR generated in 5 minutes from live decision + outcome data
🔒 Security finding → Decision Queue → owner assigned → outcome tracked
🏛️ Audit: SHA-256 hashed evidence chain, signal to outcome, one click
One Platform. Three Conversations.
CloudEva speaks differently to each leader — because they\'re solving different problems with the same data.
💰
CFO / VP Finance
Cost Accountability · Unit Economics · Budget Governance
"We spent $2.1M on cloud last quarter. Can anyone tell me what we got for it — and whether the decisions behind that spend were sound?"
✓ Every cost spike traced to a decision record — who approved it, why, and what the expected outcome was
✓ Outcome variance shows which decisions delivered and which missed
✓ MBR/QBR reports auto-generated with decision coverage, governance health, and cost attribution
✓ Budget governance with exception tracking — every overage has a decision trail
EVA Focus: Cost signals · Decision coverage · Outcome variance
⚡
CTO / VP Engineering
Change Velocity · Agentic Governance · Engineering Decisions
"My team ships 200+ changes a week — humans and AI agents. I need to know what\'s governed, what\'s drifting, and what\'s breaking the plan."
✓ Agentic change attribution — every change classified by actor: human, AI agent, IaC pipeline, auto-remediation
✓ Decision Queue surfaces ungoverned changes — the only way to clear it is to decide
✓ Deployment windows flag out-of-band changes. Cross-domain correlation catches cascading impact
✓ Signal velocity scoring identifies high-risk change clusters before they compound
EVA Focus: Change signals · Actor classification · Velocity patterns
🏛️
CIO / CISO
Governance Posture · Risk Decisions · Compliance Audit Trail
"Are we actually governing our cloud, or are we just monitoring it? I need compliance-ready evidence, not another dashboard."
✓ EVA Score quantifies governance maturity — signal freshness, decision coverage, outcome variance, policy alignment
✓ Immutable audit trail — SHA-256 hashed, every decision traceable from signal to outcome
✓ Policy enforcement with time-bound exceptions — no silent drift, no forgotten overrides
✓ Risk signals correlated with cost and inventory — security decisions have full business context
EVA Focus: Governance alignment · Risk correlation · Evidence integrity

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