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, diverted time from critical public services, and drove up costs without any automation or self-service options.
Workflow diagram · grounded in source
1
Employee submits IT request
trigger
“Ask Dee delivers lightning-fast self-service”
2
Domain-specific LLMs resolve request
ai_action
“using domain-specific LLMs to automatically resolve requests like software provisioning, account troubleshooting, and hardware issues”
3
Agentic resolution delivered
output
“freed IT teams from repetitive requests but also delivered a faster, more seamless experience for employees”
Reported outcome
Ask Dee auto-resolved 81% of IT inquiries and reduced wait times dramatically, saving 79K user hours and increasing employee satisfaction by 85%, while freeing IT teams from repetitive requests.
Reported metrics
Auto-resolution rate81%
User hours saved79K
Employee satisfaction increase85%
Wait time reductionreducing wait times dramatically
Reported stack
AiseraAsk DeeAisera AI Agentsdomain-specific LLMs
Frequently asked questions
What did this team achieve with this AI workflow?
Ask Dee auto-resolved 81% of IT inquiries and reduced wait times dramatically, saving 79K user hours and increasing employee satisfaction by 85%, while freeing IT teams from repetitive requests.
What tools did this team use?
Aisera, Ask Dee, Aisera AI Agents, domain-specific LLMs.
What results were reported?
Auto-resolution rate: 81%; User hours saved: 79K; Employee satisfaction increase: 85%; Wait time reduction: reducing wait times dramatically (source-reported, not independently verified).
How is this it support AI workflow structured?
Employee submits IT request → Domain-specific LLMs resolve request → Agentic resolution delivered.