Findings and Remediation
You don't need more findings. You need them fixed.
One queue. Ranked by real ROI. Finished with AI assistance.
Your tools already found the problems. The hard part is knowing where to start and carrying each improvement through to done. OpsCanvas turns findings from every source into one prioritized queue of safe, owned, tracked improvements, and the AI your team already uses helps complete them.
Human approval on every action. Nothing changes without you.
The Problem
Findings keep stacking up. Fixes don't.
A mid-size cloud estate generates hundreds to thousands of findings a month across cost, resilience, security, and AI tools. Detection is mostly solved. Completion is not.
- They never stop: every scanner, advisor, and platform adds to the pile daily, on top of last month's unactioned findings
- They arrive flat and unowned: severity scored through each tool's own lens, with no business impact, dependencies, or owner. An unprotected dev VM and a revenue-critical database can carry the same severity
- The last mile is where value dies: tools remediate only their own objects; the rest exits as context-free tickets or sits in a dashboard until someone suppresses it
- In the FinOps Foundation's State of FinOps survey, practitioners rank getting engineers to act on recommendations as their top challenge
Findings Sources
Wherever your findings come from, they get the same treatment.
OpsCanvas correlates every finding against the Cloud Intelligence Graph™, whether OpsCanvas produced it, an assessment produced it, or a tool you already own produced it.
- OpsCanvas checksfindings from the checks built into OpsCanvas, available from the first session
- OpsCanvas Assessmentsstructured findings for the parts of your cloud where you have none, or want a second opinion: backup posture, cost, AI readiness
- Cloudability (supported)rightsizing, idle, and anomaly findings imported and made safe to act on
- Cloud Provider ToolsAWS Trusted Advisor, Cost Explorer, and Compute Optimizer, plus Azure Advisor, rolling out
- More 3rd Party SourcesRubrik, Veeam, Commvault, Wiz, Datadog, and ServiceNow, as both a source and a ticket target
Correlation
Many findings. One improvement.
Your cost tool flags an idle instance. Your cloud advisor recommends a resize. Your monitoring shows low CPU. Your Kubernetes tool flags waste on the same workload. Four tools, four tickets, four owners guessing at the same root cause.
Because every finding lands on the same graph, OpsCanvas sees they are one improvement: optimize the application they all belong to. One owner, one change, four findings closed.
- Cross-tool correlation by topology, not by ticket text
- One fix closes many findings, and the queue records which ones
- Symptoms stop being remediated fifteen times, or not at all
How It Works
The improvement engine.
Six moves, every one on the record.
This is the loop that turns a findings backlog into finished work. Safety verdicts are never silent: every position carries safe, unsafe, or needs review with explicit reasoning, and ownership is inferred from graph evidence with no tagging prerequisite.
The Difference
A findings backlog, with and without an improvement engine.
Complementary By Design
Your detection tools and ticketing system stay. We add context.
OpsCanvas does not compete with the tools that find problems or the systems that track work. What neither side has is context: the ownership, dependencies, and blast radius that turn a finding into a safe, prioritized fix. That is the layer we add, and it makes both sides more valuable. When you need discovery help, OpsCanvas and its assessments produce findings too: for the areas where you have no coverage, or want a second opinion on your position.
Workflow systems like ServiceNow and Jira are integration targets: we import findings from them, create tickets in them, update status as work completes, and report verified outcomes back.
- Systems of Detection answer: what is wrong?
- Systems of Workflow track: what did we agree to do?
- The System of Improvement decides what matters, finishes it safely, and proves it
FAQ
From Findings to Fixed, answered.
What is a System of Improvement?
A System of Improvement sits between detection tools and workflow systems. Detection tools answer 'what is wrong?'. Workflow systems track work someone already decided to do. The System of Improvement decides which findings matter, turns them into safe, owned, prioritized improvements, helps your team complete them with AI assistance, and verifies the outcome against the live environment.
Does OpsCanvas replace ServiceNow, Jira, or my detection tools?
No. Detection tools are findings sources, and OpsCanvas makes their output more valuable by turning it into completed, verified improvements. ServiceNow and Jira are integration targets: OpsCanvas imports findings, creates tickets, updates status, and reports verified outcomes back into them.
Where do the findings come from?
Three places. The checks built into OpsCanvas produce findings from the first session. OpsCanvas Assessments produce structured findings for areas where you want deeper answers, like backup posture or cost. And imports bring in findings from tools you already own, starting with Cloudability, with more sources rolling out.
How does OpsCanvas decide what is safe to act on?
Every finding is correlated against the Cloud Intelligence Graph™, which holds topology, dependencies, ownership, change history, and blast radius observed from your environment. Each queue position carries a safety verdict of safe, unsafe, or needs review, with explicit reasoning, and a human approves every action before anything changes.
How do you measure improvement?
Two ways. Completion: the change is verified against the live environment, with time to remediate on the record. Impact: for cost findings, savings are confirmed against billing data over time. Closing a ticket is not verification, and resolved problems are watched so quiet returns show up as new findings.
Get Started
Bring us the findings you already have.
Start with your Cloudability backlog, run an assessment where you need answers, or connect the AI you already use to your cloud today.