Stop triaging data protection gaps. Automate the fix.
Bocada AI diagnoses backup failures, opens the right ticket, and remediates the fix automatically, so your team spends less time triaging and more time on work that actually needs a human.
Get answers in plain language, not a report you have to build yourself.
Ask Bocada's AI agent questions the way you'd ask a colleague: why did that backup fail? What else failed last night? Which backups are consuming the most storage? Which resources haven't backed up for over a week?
Works in your native languages. A question asked in Dutch, French, Portuguese, or Spanish gets an equally fluent answer
Ask a follow-up without starting over. Bocada AI keeps the context of the conversation, so "what about yesterday" or "try again" picks up right where you left off
In practice: an admin asks for a list of the current billable resources count by customer, gets a table, then asks to add another column with the date and time of the last successful backup of each resource, without re-explaining the question.
Root cause, not just a red flag
AI-powered diagnostics that explain why something broke, not just that it did.
Bocada's AI agent analyzes logs, patterns, and dependencies to explain what actually happened, an expired credential, a misconfigured policy, a corrupted repository, not just a generic failure code
A question about one resource can surface a broader root cause, like a policy misconfiguration quietly affecting several other resources too
Get context-specific remediation guidance for the exact error in front of you, not a generic troubleshooting article
In practice: an admin clicks ‘analyze this’ next to a failed backup job. Bocada AI identifies it as an expired service account password, not a network issue, and points to the fix.
Intelligent ticket integrations that reduce noise
Configurable triggers mean the right ticket goes to the right team, and only once.
Set your own triggers: alert after one consecutive failure for your most critical resources, or after three for everything else
Group tickets by resource, organization, or backup application, and pre-populate fields like customer, priority, or the team responsible
Repeated failures update the original ticket instead of creating new noise; a resolved issue closes automatically before anyone has to triage it
MSPs can map their ticketing system's tenant list to their Bocada organizations, so every ticket opens under the correct customer
In practice: a backup fails three times in a row. A ticket opens, pre-populated with the right customer and team. It fails twice more, the same ticket updates. It recovers on attempt six, and the ticket closes itself.
AI remediation that delivers true automation
Configurable logic that analyzes, repairs, reruns, and validates fixes.
Build remediation logic for known error types with Bocada Resolve: restart the job, ping the target, check media status, or rerun the backup automatically
When the retried job succeeds, Bocada closes the ticket itself, so nobody triages a problem that's already fixed
Every failure and its remediation gets logged, giving you the audit trail for what broke and what fixed it
In practice: a job fails because a repository briefly went offline. The workflow detects it, reruns the job, confirms success, and closes the ticket, all before any human involvement.
Leverage the Bocada MCP Server to keep control of your data
Feed Bocada’s data into the AI tools you already run, without it leaving your environment.
Connect Bocada's structured backup data to your own enterprise AI: Azure OpenAI Service, AWS Bedrock, or a local LLM, through the Bocada MCP Server
Keep sensitive backup metadata inside your own environment, aligned with frameworks like SOC 2, ISO 27001, and HIPAA
Integrate Bocada into your broader AI security systems, tailoring it to how your organization actually works
In practice: an enterprise IT connects Bocada’s backup data into their existing Claude deployment for a natural and seamless connection with the rest of the corporate security stack.
