Streamline and Speed Up Your Incident Resolution with
AI-powered QED
Investigation Maps

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Why You Need smartQED

Problems and incidents in business-critical systems are oftent complex & cross-functional, requiring distributed SMEs operating under high pressure to investigate the causes.   

smartQED is an AI-driven visual workspace with
QED Investigation Maps that enable you to streamline and speed up you incident resolution.  It also provides Recommendations from prior solved cases to jumpstart your investigations. 

smartQED has been designed from the ground up based on real and practical insights from the Incident Manager community and our own deep experience in Enterprise IT operations.

Leverage the power of smartQED's unique patented technology to increase efficiency and productivity - resolve incidents faster and meet SLAs smoothly.

What is An Investigation Map

Investigation Map™ is a key innovation in smartQED that is used to:

  • Visually display potential causes and sub-causes for a problem in the form of a Cause Tree or Fishbone / Ishikawa diagram along with relevant pieces of information such as Status, Notes, Attachments, Clues and Actions, bringing structure and clarity to your incident and problem investigations. 
     

  • Get concurrent updates from users with automatic merging and real-time notification of changes, helping to put everyone on the same page quickly. 
     

  • Generate human-friendly Summary Reports with 1 click!
     

  • Get QED Insights on likely causes and solutions to help jumpstart your investigations and resolve incidents faster.

smartQED Maps improve your efficiency and productivity by bringing clarity to incident investigations, leading to smoother resolutions and happier customers!

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Benefits of adopting this visual approach are literally transformative

✅ Investigation status and strategy are clear to all - they get on the same page easily

✅ Relevant information organized in the context of specific causes eliminates confusion

✅ Efficient automated reporting to stakeholders saves valuable time lost in manual updates

✅ Pre-defined 'mix-n-match' QED templates help jumpstart new problem investigations

Upto 50% faster resolution of incidents and problems!

Investigations Maps are also AI-powered - our built-in QED Insights Recommendation Engine analyzes historical data from solved problems to make accurate suggestions for new problems. 

 

Recommendations are provided not just as links to similar problems, but as an aggregated map of known causes for the problem.   This powerful capability greatly simplifies manual 'search and read' effort of examining earlier incidents, effectively upskilling new members in your team. 

Solve incidents faster, easier & smarter with AI-powered QED Investigation Maps!

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Methodical Cause Analysis

Our collaborative Investigation Maps help operations teams explore and identify potential causes of problems systematically & quickly.  Managers and operators are able to easily track tasks & status for a problem, and all be on the same page

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Efficient Collaborative Investigations

Using smartQED Investigation Maps, teams can jointly analyze problems with all data related to an investigation in a 360° view and updatable in context.  Eliminate long, linear textual updates in emails & chats that are difficult to read & understand under high pressure. 

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Automated Real-time Reporting

Our automated real-time reporting provides customers and managers with clear visibility into problem investigation & resolution progress. After resolution, our reports & audit trails aid in post mortem analysis, eliminating the need to write knowledge articles & tedious manual reports.

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ML-Powered Recommendation Engine 

Our powerful Recommendation Engine suggests likely causes & solutions based on prior solved problems and community knowledge.  smartQED can automatically analyze the historical data in investigation maps of prior incidents to generate recommendations for new problems.  These suggestions are computed based on the current symptoms and helps to focus the investigations, reducing MTTR.