“We're deploying AI agents.”
Find out whether your data is ready before the licenses are, and see exactly which sites will overshare on day one.
Enterprise Technology Intelligence
Ask better questions. Make better technology decisions.
CloudBound reasons across your Azure and Microsoft 365 technology estate to uncover hidden waste, prioritize risk, accelerate audit readiness, and generate implementation-ready guidance, all from a conversation in the AI assistant your organization already uses.
Designed to pay for itself, and help fund what's next.
- Customer-hosted
- Deploys in under an hour
- Runs inside your Azure subscription
Ask CloudBoundNatural language
What comes backReasoning
0score
CloudBound
Verdict
Summary
Next 90 days
Priority
Sample output. Figures illustrative, not from a real customer.
CloudBound Application Intelligence
See the application as a system.
CloudBound assembles the services, dependencies, identity, security, health, recovery, change and cost evidence that define an application—then lets you investigate it as one system.
Ask in chat. Open Application Intelligence when you need to go deeper.
>Analyze
orders-agent.
orders-agent
Availability: healthy
Assembled on demand
Order exception handling · writes to production data
Application topology
| Finding | Component | Signal |
|---|
What this application is
orders-agent is a production AI agent that works order exceptions and writes the results back. It runs on Azure Container Apps, reasons with a model deployment in Azure AI Foundry, reads supporting documents from Microsoft 365, and writes results back to the production order database. It calls an external payment processor that sits outside the boundary CloudBound can observe.
What deserves attention
- The agent can write to the production database. Its identity holds a write role on sql-orders-prod, not a read role.
- Conditional Access cannot be scoped to that identity. It authenticates as a managed identity, and Microsoft excludes managed identities from Conditional Access policy. Access reviews are the control that applies.
- It reads a document set that is broadly shared. 41% of the sites it can reach are open to the entire tenant, and so to any agent acting on a user's behalf.
Where the evidence stops
- Whether a human approves what it writes. No approval step is visible from Azure. If that control exists, it lives inside the application.
- What the agent actually retrieved or wrote. CloudBound reads configuration and control-plane evidence, never prompts, documents or row contents.
- One relationship is indicated but not confirmed. It is drawn as a candidate rather than asserted as fact.
Illustrative example · figures not from a real customer
Last analyzed on demand
Verified where evidence proves it. Clear about where the evidence stops.
Why organizations deploy CloudBound
Three reasons, one platform.
01 · Recover
Recover technology spend
Discover idle resources, oversized databases, unused licenses, lapsed reservations, idle AI capacity and the resources nobody owns anymore.
Designed to pay for itself, and help fund what's next.
02 · Reduce
Reduce technology risk
Discover exposed identities, over-privileged access, endpoint compliance drift, insecure code paths and the vulnerabilities that actually matter before they become incidents.
Risk found early is a decision. Risk found late is an incident.
03 · Accelerate
Accelerate technology decisions
Transform thousands of technology signals into executive recommendations, implementation guidance and board-ready Executive Briefings.
The answer arrives in the language leadership already speaks.
It usually starts with a sentence like this
“Our Azure costs are increasing.”
Separate the waste from the workload. Idle resources, wrong tiers, missing reservations, and who owns each one.
“We're preparing for an audit.”
Evidence gathered, controls mapped, gaps named while there is still time to close them.
“We're modernizing our applications.”
CloudBound reads the code and the infrastructure together, then tells you which workloads are ready and which will fight you.
“We're reducing technical debt.”
Debt ranked by business impact rather than severity score, with the remediation already written.
“The board wants a cybersecurity update.”
Posture, identity and vulnerability exposure in language a board can act on, with the three changes that move the number most.
The intelligence loop
Discover. Reason. Remediate.
Discover
See what the estate proves. Know what remains unknown.
What actually belongs to this application?
Continuously analyze cloud infrastructure, source code, identity, security posture, cost, licensing, data governance and operations, down to the missing index on a production database.
Find issues traditional point solutions often miss, including vulnerabilities and technical debt that may have existed for years.
- Source code
- Infrastructure
- Identity
- Security
- Operations
Reason
Know what it means.
What is wrong, what changed, and who can affect it?
Correlate signals across your entire technology estate. Prioritize what matters. Explain business impact. Recommend next actions.
Then ask questions in natural language and keep pulling the thread until the decision is obvious.
- Correlation
- Prioritization
- Business impact
- Natural language
Remediate
Generate the fix.
What should we do next — and what should we deliberately leave alone?
Generate implementation-ready guidance. Not a recommendation to write the script. The script itself, drafted for your team to review and run.
- PowerShell
- Terraform
- Azure CLI
- Bicep
- Config changes
- Code remediation
- Executive Briefings
- Board presentations
- Technology roadmaps
How you use it
No dashboard to babysit. No new workflow to learn.
CloudBound delivers Enterprise Technology Intelligence through natural conversation. Your team asks questions in the AI assistant your organization already trusts, and CloudBound answers with evidence from your estate.
Ask in the assistant your team already uses. When the answer is bigger than a paragraph, CloudBound assembles the application, its evidence and its findings on demand, and hands back something your team can reason about rather than a link to another console.
Works with the AI your teams already use
- ChatGPT
- Claude
- Azure AI Foundry
- Visual Studio Code
CloudBound brings governed operational intelligence into the AI assistants and engineering environments your teams already trust. Also works with Gemini, privately hosted and air-gapped models.
Product names and logos are trademarks of their respective owners. Compatibility does not imply endorsement or partnership.
Your AI is the interface. CloudBound is the intelligence.
The engine
One intelligence engine.
Unlimited questions.
Azure and Microsoft 365 technology estate
- Azure
- Microsoft 365
- Source code
- Identity
- Security
- Cost
- AI readiness
CloudBound Intelligence Engine
Discovers. Correlates. Reasons. Recommends.
Every answer carries the evidence it came from.
>
Why did Azure costs increase this month?
What comes back
- Executive recommendations
- Implementation-ready remediation
- Executive Briefings
- Roadmaps
Economics
Designed to pay for itself, and help fund what's next.
Not another annual assessment. Continuous intelligence about the technology estate you operate every day.
CloudBound continuously discovers opportunities to improve efficiency, reduce waste and redirect technology spend toward what comes next: cloud optimization, licensing optimization, operational efficiency and architecture improvements.
The platform is designed to create measurable business value that helps justify its own investment. What you recover depends on your estate. CloudBound tells you what is there, and what it is worth, from the first hour.
Deployment
Your Azure environment stays under your control.
Available today
Customer hosted
CloudBound deploys into your own Azure subscription. Your security team reviews a deployment template, not a vendor questionnaire.
CloudBound licenses software. You own the data. The product data plane runs in your subscription and stays under your control — only what you explicitly send to an approved AI provider leaves it.
- Customer credentialsCustomer-owned
- Key VaultCustomer-owned
- ReportsCustomer-owned
- Assessment dataCustomer-owned
- LogsCustomer-owned
- StorageCustomer-owned
- CloudBoundLicenses the software
Planned
CloudBound SaaS
Fully managed hosting. Not available today.
Planned
Offline and air-gapped
For classified, defense and isolated environments. Not available today. Talk to us if this is your reality.
Pricing
One platform. One price.
Founding Edition
CloudBound Professional
$9,995per year
Available through December 31, 2026.
After December 31, new subscriptions are priced at $14,995 per year.
- Single organization
- Customer-hosted deployment
- Microsoft Entra ID authentication
- Executive reporting
- Production Insight Packs
- Scheduled assessments
- Designed to pay for itself, and help fund what's next
Enterprise
Starting at$34,995per year
For multi-tenant estates and MSPs.
Scoped to your environment and governance model.
- Everything in Professional
- Larger estates
- Advanced deployment options
- Scoped administration
- Enterprise reporting
- Advanced automation Planned
Optional
CloudBound Advisory
CloudBound Advisory helps organizations implement the recommendations generated by CloudBound. Many customers act on the guidance themselves, because the platform already wrote it. Consulting is optional.
Start here
Get CloudBound.
Start generating insights the same day. Generate Executive Briefings, discover optimization opportunities and receive implementation-ready remediation.
hello@cloudbound.ai