It support · Production
City & County of Denver reduces costs and streamlines IT operations with Aisera's AI Agent Platform
The problem
The City & County of Denver relied on slow, manual IT processes that delayed employee support, grew inefficiencies, strained IT teams, and drove up costs with no automation or self-service options available.
Workflow diagram · grounded in source
1
Employee initiates self-service
trigger
“Ask Dee delivers lightning-fast self-service”
2
AI agent resolves IT request
ai_action
“Ask Dee delivers lightning-fast self-service, using domain-specific LLMs to automatically resolve requests like software provisioning, account troubleshooting, and hardware issues”
3
Auto-resolution delivered
output
“auto-resolving 81% of inquiries and reducing wait times dramatically”
Reported outcome
Ask Dee auto-resolved 81% of IT inquiries, saved 79K user hours, and delivered an 85% increase in employee satisfaction while reducing wait times dramatically.
Reported metrics
Auto-resolution rate81%
User hours saved79K
Employee satisfaction increase85%
Reported stack
AiseraAsk DeeLLMs
Frequently asked questions
What did this team achieve with this AI workflow?
Ask Dee auto-resolved 81% of IT inquiries, saved 79K user hours, and delivered an 85% increase in employee satisfaction while reducing wait times dramatically.
What tools did this team use?
Aisera, Ask Dee, LLMs.
What results were reported?
Auto-resolution rate: 81%; User hours saved: 79K; Employee satisfaction increase: 85% (source-reported, not independently verified).
How is this it support AI workflow structured?
Employee initiates self-service → AI agent resolves IT request → Auto-resolution delivered.