AI Chatbot for IT Problem Management & Root Cause Analysis

Identify recurring issues, automate root cause analysis, and prevent future incidents with an intelligent AI assistant that transforms incidents into problems.

Trusted by businesses worldwide

Why Problem Management Needs Automation

IT teams reactively fix incidents without identifying underlying problems causing recurring issues. Repeated password lockouts, network slowdowns, or software crashes continue because no one connects the dots between related incidents to find root causes. Wonderchat's problem management chatbot automates ITIL problem workflows by identifying incident patterns, clustering related issues, initiating root cause analysis, coordinating problem investigations, and tracking preventive actions. IT staff query "What's causing repeated email outages?" or "Show me all VPN-related incidents this month," and the AI provides trend analysis, identifies known errors, and suggests investigations. Train it on incident history, known error databases, problem records, and RCA templates in 5 minutes. The AI analyzes problems in 100+ languages, reducing recurring incidents by up to 70%. IT operations and engineering teams gain proactive problem identification, faster root cause discovery, and reduced repeat incidents. The AI handles pattern detection and problem clustering while escalating complex systemic issues requiring cross-functional investigation to problem managers. Transform IT from reactive firefighting into proactive problem prevention.

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Easy 5 minute set-up

How Wonderchat Works

Incident Pattern Detection

Identify Recurring Issues Automatically

Analyze historical incident data to identify patterns, clusters of related issues, frequent failures by system or user group, and emerging trends. The AI flags recurring problems requiring investigation before they escalate into major incidents.

Related incident clustering and pattern recognition

Frequency analysis by system and error type

Emerging trend detection and early warnings

Incident Pattern Detection

Identify Recurring Issues Automatically

Analyze historical incident data to identify patterns, clusters of related issues, frequent failures by system or user group, and emerging trends. The AI flags recurring problems requiring investigation before they escalate into major incidents.

Related incident clustering and pattern recognition

Frequency analysis by system and error type

Emerging trend detection and early warnings

Incident Pattern Detection

Identify Recurring Issues Automatically

Analyze historical incident data to identify patterns, clusters of related issues, frequent failures by system or user group, and emerging trends. The AI flags recurring problems requiring investigation before they escalate into major incidents.

Related incident clustering and pattern recognition

Frequency analysis by system and error type

Emerging trend detection and early warnings

Root Cause Analysis Workflows

Guided Problem Investigation Processes

Automate ITIL problem management workflows including problem logging, root cause analysis initiation, investigation coordination, known error documentation, workaround publication, and permanent fix tracking.

Problem identification and logging

Root cause investigation coordination

Known error and workaround documentation

Root Cause Analysis Workflows

Guided Problem Investigation Processes

Automate ITIL problem management workflows including problem logging, root cause analysis initiation, investigation coordination, known error documentation, workaround publication, and permanent fix tracking.

Problem identification and logging

Root cause investigation coordination

Known error and workaround documentation

Root Cause Analysis Workflows

Guided Problem Investigation Processes

Automate ITIL problem management workflows including problem logging, root cause analysis initiation, investigation coordination, known error documentation, workaround publication, and permanent fix tracking.

Problem identification and logging

Root cause investigation coordination

Known error and workaround documentation

Known Error Database

Train on Problem Records & RCAs

Connect to your known error database, problem management records, post-incident reviews, root cause analysis reports, and resolution documentation so the AI recognizes past problems, suggests known workarounds, and prevents redundant investigations.

Known error database and workarounds

Historical problem records and RCA reports

Permanent fix documentation and preventive actions

Known Error Database

Train on Problem Records & RCAs

Connect to your known error database, problem management records, post-incident reviews, root cause analysis reports, and resolution documentation so the AI recognizes past problems, suggests known workarounds, and prevents redundant investigations.

Known error database and workarounds

Historical problem records and RCA reports

Permanent fix documentation and preventive actions

Known Error Database

Train on Problem Records & RCAs

Connect to your known error database, problem management records, post-incident reviews, root cause analysis reports, and resolution documentation so the AI recognizes past problems, suggests known workarounds, and prevents redundant investigations.

Known error database and workarounds

Historical problem records and RCA reports

Permanent fix documentation and preventive actions

5-minute set up with our native integration

Automate Problem Management in 5 Minutes

1

Create your AI chatbot – Pick the perfect AI model fit for your support needs.

2

Train AI with Docs, FAQs & Policies – Upload knowledge base files and site links.

3

Customise Workflows & Escalation Rules – AI handles what it can, and escalates what it can’t.

4

Monitor & Optimise with Analytics – See where customers get stuck and fine-tune responses.

Problem Intelligence Lookup

Instant Access to Past Investigations

Provide instant access to known problems, documented workarounds, root cause findings, and permanent fix status. When technicians encounter issues, the AI suggests "This matches Problem PRB0012345—known workaround available" to accelerate resolution.

Known problem and workaround searches

Root cause findings and fix status tracking

Related incident and problem history

Problem Intelligence Lookup

Instant Access to Past Investigations

Provide instant access to known problems, documented workarounds, root cause findings, and permanent fix status. When technicians encounter issues, the AI suggests "This matches Problem PRB0012345—known workaround available" to accelerate resolution.

Known problem and workaround searches

Root cause findings and fix status tracking

Related incident and problem history

Problem Intelligence Lookup

Instant Access to Past Investigations

Provide instant access to known problems, documented workarounds, root cause findings, and permanent fix status. When technicians encounter issues, the AI suggests "This matches Problem PRB0012345—known workaround available" to accelerate resolution.

Known problem and workaround searches

Root cause findings and fix status tracking

Related incident and problem history

Problem Manager Escalation

Coordinate Complex Investigations

Escalate complex, systemic problems requiring cross-functional investigation—infrastructure design flaws, vendor bugs, capacity issues—to problem managers with full context including incident clusters, suspected root causes, business impact, and investigation recommendations.

Systemic issues requiring infrastructure changes

Vendor or third-party product defects

Capacity planning and architectural problems

Problem Manager Escalation

Coordinate Complex Investigations

Escalate complex, systemic problems requiring cross-functional investigation—infrastructure design flaws, vendor bugs, capacity issues—to problem managers with full context including incident clusters, suspected root causes, business impact, and investigation recommendations.

Systemic issues requiring infrastructure changes

Vendor or third-party product defects

Capacity planning and architectural problems

Problem Manager Escalation

Coordinate Complex Investigations

Escalate complex, systemic problems requiring cross-functional investigation—infrastructure design flaws, vendor bugs, capacity issues—to problem managers with full context including incident clusters, suspected root causes, business impact, and investigation recommendations.

Systemic issues requiring infrastructure changes

Vendor or third-party product defects

Capacity planning and architectural problems

40+ Languages

Starts at $0.02/message

Available 24/7

Start Free Trial

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Industry Grade Compliance

Wonderchat is GDPR compliant and AICPA SOC 2 Certified.

FAQ

How does the AI chatbot identify recurring IT problems?

Wonderchat analyzes historical incident data to detect patterns and clusters. If 20 users report "password lockout" incidents in a week, the AI flags this as a recurring problem requiring investigation. It groups related incidents by error messages, affected systems, user groups, and failure symptoms to identify underlying problems hidden within incident noise.

Can the chatbot automate root cause analysis workflows?

Yes, Wonderchat guides problem investigations through ITIL workflows. When recurring problems are identified, the AI initiates problem records, assigns investigation tasks, coordinates RCA meetings, collects findings, documents root causes, and tracks permanent fix implementation. This ensures consistent, structured problem management across all investigations.

Does the AI integrate with known error databases?

Absolutely. Wonderchat trains on your known error database, problem records, and RCA documentation. When technicians encounter issues, the AI searches for matching known problems and suggests documented workarounds: "This appears to be Known Error KE00123—apply VPN configuration patch per KB article 456." This prevents redundant investigations and accelerates resolution.

How does the chatbot help prevent future incidents?

By identifying root causes and tracking permanent fixes, Wonderchat helps prevent recurring incidents. After problems are resolved, the AI monitors incident rates to confirm fixes are effective. It also flags when preventive actions (software updates, configuration changes) are overdue, ensuring proactive problem prevention doesn't slip through the cracks.

Can the AI analyze trends to predict future problems?

Yes, Wonderchat's analytics dashboard shows incident trends, frequency changes, seasonal patterns, and early warning indicators. If VPN incidents spike 200% week-over-week or database performance incidents trend upward, the AI alerts problem managers to investigate before issues escalate into major outages.

How does the chatbot coordinate cross-functional problem investigations?

For complex problems requiring multiple teams (network, applications, database), Wonderchat coordinates investigation activities, tracks findings from each team, maintains investigation timelines, and consolidates root cause analysis. Problem managers get unified visibility into multi-team investigations instead of fragmented email threads and spreadsheets.

FAQ

How does the AI chatbot identify recurring IT problems?

Wonderchat analyzes historical incident data to detect patterns and clusters. If 20 users report "password lockout" incidents in a week, the AI flags this as a recurring problem requiring investigation. It groups related incidents by error messages, affected systems, user groups, and failure symptoms to identify underlying problems hidden within incident noise.

Can the chatbot automate root cause analysis workflows?

Yes, Wonderchat guides problem investigations through ITIL workflows. When recurring problems are identified, the AI initiates problem records, assigns investigation tasks, coordinates RCA meetings, collects findings, documents root causes, and tracks permanent fix implementation. This ensures consistent, structured problem management across all investigations.

Does the AI integrate with known error databases?

Absolutely. Wonderchat trains on your known error database, problem records, and RCA documentation. When technicians encounter issues, the AI searches for matching known problems and suggests documented workarounds: "This appears to be Known Error KE00123—apply VPN configuration patch per KB article 456." This prevents redundant investigations and accelerates resolution.

How does the chatbot help prevent future incidents?

By identifying root causes and tracking permanent fixes, Wonderchat helps prevent recurring incidents. After problems are resolved, the AI monitors incident rates to confirm fixes are effective. It also flags when preventive actions (software updates, configuration changes) are overdue, ensuring proactive problem prevention doesn't slip through the cracks.

Can the AI analyze trends to predict future problems?

Yes, Wonderchat's analytics dashboard shows incident trends, frequency changes, seasonal patterns, and early warning indicators. If VPN incidents spike 200% week-over-week or database performance incidents trend upward, the AI alerts problem managers to investigate before issues escalate into major outages.

How does the chatbot coordinate cross-functional problem investigations?

For complex problems requiring multiple teams (network, applications, database), Wonderchat coordinates investigation activities, tracks findings from each team, maintains investigation timelines, and consolidates root cause analysis. Problem managers get unified visibility into multi-team investigations instead of fragmented email threads and spreadsheets.

FAQ

How does the AI chatbot identify recurring IT problems?

Wonderchat analyzes historical incident data to detect patterns and clusters. If 20 users report "password lockout" incidents in a week, the AI flags this as a recurring problem requiring investigation. It groups related incidents by error messages, affected systems, user groups, and failure symptoms to identify underlying problems hidden within incident noise.

Can the chatbot automate root cause analysis workflows?

Yes, Wonderchat guides problem investigations through ITIL workflows. When recurring problems are identified, the AI initiates problem records, assigns investigation tasks, coordinates RCA meetings, collects findings, documents root causes, and tracks permanent fix implementation. This ensures consistent, structured problem management across all investigations.

Does the AI integrate with known error databases?

Absolutely. Wonderchat trains on your known error database, problem records, and RCA documentation. When technicians encounter issues, the AI searches for matching known problems and suggests documented workarounds: "This appears to be Known Error KE00123—apply VPN configuration patch per KB article 456." This prevents redundant investigations and accelerates resolution.

How does the chatbot help prevent future incidents?

By identifying root causes and tracking permanent fixes, Wonderchat helps prevent recurring incidents. After problems are resolved, the AI monitors incident rates to confirm fixes are effective. It also flags when preventive actions (software updates, configuration changes) are overdue, ensuring proactive problem prevention doesn't slip through the cracks.

Can the AI analyze trends to predict future problems?

Yes, Wonderchat's analytics dashboard shows incident trends, frequency changes, seasonal patterns, and early warning indicators. If VPN incidents spike 200% week-over-week or database performance incidents trend upward, the AI alerts problem managers to investigate before issues escalate into major outages.

How does the chatbot coordinate cross-functional problem investigations?

For complex problems requiring multiple teams (network, applications, database), Wonderchat coordinates investigation activities, tracks findings from each team, maintains investigation timelines, and consolidates root cause analysis. Problem managers get unified visibility into multi-team investigations instead of fragmented email threads and spreadsheets.

40+ Languages

Starts at $0.02/message

Available 24/7

Start Free Trial

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