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Service Delivery Intelligence Module
Impending Bottleneck in Hong Kong IT Team, team throughput predicted to slow down by 40%
1. Incident response time predicted to be 3 days above accepted SLA and Lead Time for tasks assigned to HK team predicted to increase 60%
1. Re-Route part of P1 CRs and Tasks to the San Francisco team so as not to impact P1 CRs and Tasks lead time
Java team 2 is 2 days ahead of sprint, 75% capacity used will soon be available
$10K of ROI impact per day if Java Team 2 is 75% idle
Reassign selected stories that are behind schedule from Java Team 1 to Java Team 2
QA Team assigned to Pegasus project will be soon in under capacity. Current predicted delay for task completion: 1 month
Pegasus Project is a P1 project with an overall budget of $100M. 1 month delay will lead to an exceed of project budget by $3M
Assign all available QA resources from other project to Pegasus QA team; Consider adding 10 additional external QA resources.
In Q3, NYC Python team has been consistently ahead of schedule by an average of 25% on all their tasks.
Q3 cost saving realised $27M.
Consider promoting the NYC team leader to oversee the HK Python Team which was consistently behind schedule in Q3 by 33%
because the best IT organizations are driven by AI
A cutting-edge IT Service Delivery Intelligence Tool
DeepCoding’s Service Delivery Intelligence Module sits on top of existing ITSM systems, uses advanced data science algorithms to analyse how your service delivery organisation performs, and provides impactful improvement recommendations.
Enjoy meaningful, groundbreaking benefits
Automatically Detect Problems
DeepCoding’s NLP-based AI engine automatically groups similar incidents based on the free text data contained in ITSM tickets, such as incident descriptions and resolution notes, which lets you act on problems that only AI can detect.
Get Rid Of Inefficient Workflows
DeepCoding uses advanced business process mining to spot inefficient patterns of behaviour with surgical precision, such as ping pong, reworks, pending abuse, and poor workload allocation.
Reduce Ticket Costs
DeepCoding identifies opportunities to resolve tickets at the service desk or desk-side support level, helping you prevent costly transfers and save time.
Do More With The Same Team
DeepCoding automatically scores service delivery reps on their expertise and identifies their strengths and weaknesses, highlighting training opportunities.
DeepCoding runs advanced data mining algorithms on historical data to build clusters of past incidents, and identifies Key Performance Indicators such as top performing reps or groups, and median ticket costs.
Unprecedented Accountability and Visibility
DeepCoding’s advanced analytics engine identifies and helps you consistently replicate effective behaviour among your top performers, so that you can streamline your incident management processes.