AIOps for WordPress applies AI to the day-to-day operation of a WordPress site: continuously observing health, performance, plugins, database and caching, explaining what changed and why, and executing routine fixes safely. Traditional uptime monitors tell you a site is slow or down; AIOps tells you which plugin conflict, cache misconfiguration or database bloat is causing it, what it will cost the business if ignored, and offers a reviewed fix.
The problem
WordPress operations are fragmented: hosting dashboards, plugin update screens, caching plugins, error logs, Search Console and WooCommerce reports each hold a piece of the truth. Owners and agencies react after customers complain, and every fix is manual and risky.
How WP SelfOps approaches it
- Observe. The WP SelfOps plugin collects health, performance, plugin/theme inventory, cache-conflict, database-storage and background-job (Action Scheduler) signals from the connected site — read-only.
- Explain. Operational Signals are correlated across sources (for example a traffic drop together with a cache conflict, or a revenue dip together with a conversion drop) and every answer is labelled with its evidence: live query, verified snapshot or unavailable.
- Act safely. Operational changes (plugin updates, cache operations, cleanup, configuration adjustments) run only when you request them: preview → explicit confirmation → backup or restore point where the environment allows → verification → one-click undo when reversible. Rollback limits are stated honestly per action.
- Automate within bounds. Autopilot, when enabled by you, executes predefined low-risk categories within the scope you configure and can be disabled at any time.
Use cases
- Detecting a caching or plugin conflict before it degrades checkout.
- Diagnosing database growth (post meta, transients, Action Scheduler backlog) with reclaimable-space estimates.
- Keeping plugins current with pre-change backups and post-update verification.
- Asking in plain language — «why is my site slow?» — and receiving a diagnosis grounded in your own site’s data.
Demonstrated today: read-only diagnostics, correlated signals, confirmed write operations with verification and undo. Planned functionality is never presented as available inside the product.