Console vs Aisera
Aisera was built before GenAI. Console was built for it.
Aisera was built before GenAI. Console was built for it.
Aisera was built on pre-GenAI NLP, intent classification, and rules-based automation, with generative AI added later. Console is GenAI-native, designed for LLMs to reason over workflows, run multi-step actions, and adapt as your IT environment changes.
Aisera was built on pre-GenAI NLP, intent classification, and rules-based automation, with generative AI added later. Console is GenAI-native, designed for LLMs to reason over workflows, run multi-step actions, and adapt as your IT environment changes.
Deployed company-wide at
Deployed company-wide at
Deployed company-wide at
Console auto-resolves up to
87% of support requests
before they reach a human
Console auto-resolves up to
87% of support requests
before they reach a human
Console auto-resolves up to 87% of support requests before they reach a human
Agentic support, end to end
Console handles requests inside Slack and Teams, from password resets to access changes, by reasoning across your systems and policies and taking action, not just linking to docs or forms.
Console handles requests inside Slack and Teams, from password resets to access changes, by reasoning across your systems and policies and taking action, not just linking to docs or forms.
Built for control and auditability
Every action follows the workflows, approvals, and policies you define. IT can see exactly what happened, why it happened, and who approved it so automation never becomes a black box.
Every action follows the workflows, approvals, and policies you define. IT can see exactly what happened, why it happened, and who approved it so automation never becomes a black box.
Inbox is where humans step in
When a request needs judgment, approval, or investigation, Console routes it into Inbox, already enriched with context, ownership, priority, and SLA, so the right person can act immediately.
When a request needs judgment, approval, or investigation, Console routes it into Inbox, already enriched with context, ownership, priority, and SLA, so the right person can act immediately.
Why companies are moving off Aisera
Why companies are moving off Aisera
Why companies are moving off Aisera
Aisera
—
Built in ticketing
Built in ticketing
Built in ticketing
Modern, dynamic UI for IT operators
Modern, dynamic UI for IT operators
Modern, dynamic UI for IT operators
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Built natively for LLMs
Built natively for LLMs
Built natively for LLMs
Simple to deploy and operate
Simple to deploy and operate
Simple to deploy and operate
Slack/Teams-first experience
Slack/Teams-first experience
Slack/Teams-first experience
Deterministic & secure by design
Deterministic & secure by design
Deterministic & secure by design
Built-in auditing & debugging
Built-in auditing & debugging
Built-in auditing & debugging
Self-service configuration for IT
Self-service configuration for IT
Self-service configuration for IT
AI behavior fully inspectable
AI behavior fully inspectable
AI behavior fully inspectable
Notes from teams that use Console
"Our auto-resolution rate jumped 4x after switching to Console. And that’s still growing."
Lovejit Mundi
Head of IT, Scale AI
"Our CSAT jumped from 84% to 94% after launching Console because people got what they needed instantly."
Seth Steward
VP of IT, Bloomerang
"There were 3-4 hours of the day just doing access requests. With Console, entire days are given back to me."
Tory Harmon
IT Support Engineer
“We were worried our infra wasn't ready for Console, but we pushed ahead, and now we're over 50% deflection.”
Piru Chheang
Head of IT, Zip
*Real Customer Data
Notes from teams that use Console
"Our auto-resolution rate jumped 4x after switching to Console. And that’s still growing."
Lovejit Mundi
Head of IT, Scale AI
"Our CSAT jumped from 84% to 94% after launching Console because people got what they needed instantly."
Seth Steward
VP of IT, Bloomerang
"There were 3-4 hours of the day just doing access requests. With Console, entire days are given back to me."
Tory Harmon
IT Support Engineer
“We were worried our infra wasn't ready for Console, but we pushed ahead, and now we're over 50% deflection.”
Piru Chheang
Head of IT, Zip
*Real Customer Data
Notes from teams that use Console
"Our auto-resolution rate jumped 4x after switching to Console. And that’s still growing."
Lovejit Mundi
Head of IT, Scale AI
"Our CSAT jumped from 84% to 94% after launching Console because people got what they needed instantly."
Seth Steward
VP of IT, Bloomerang
"There were 3-4 hours of the day just doing access requests. With Console, entire days are given back to me."
Tory Harmon
IT Support Engineer
“We were worried our infra wasn't ready for Console, but we pushed ahead, and now we're over 50% deflection.”
Piru Chheang
Head of IT, Zip
TIMELINE
Demo to production in 3 weeks or less
Week 1
Week 2
Week 3
Onboard with your dedicated engineer
Connect to all of your apps in 30 minutes
Import Playbooks from our template library
Set up custom access policies
Link your existing knowledge base
Deeply integrate Console
Create custom Playbooks
Collect insights using our reporting platform
Snippets suggests additions to your knowledge base
Ask why you didn't switch sooner
Over 50% of tickets auto-resolved
Near-instant responses for end users
IT freed up for strategic projects
TIMELINE
Demo to production in
3 weeks or less
Week 1
Week 2
Week 3
Onboard with your dedicated engineer
Connect to all of your apps in 30 minutes
Import Playbooks from our template library
Set up custom access policies
Link your existing knowledge base
Deeply integrate Console
Create custom Playbooks
Collect insights using our reporting platform
Snippets suggests additions to your knowledge base
Ask why you didn't switch sooner
Over 50% of tickets auto-resolved
Near-instant responses for end users
IT team freed up for larger projects
TIMELINE
Demo to production in 3 weeks or less
Onboard with your dedicated engineer
Connect to all of your apps in 30 minutes
Import Playbooks from our template library
Set up custom access policies
Link your existing knowledge base
Week 1
Deeply integrate Console
Create custom Playbooks
Collect insights using our reporting platform
Snippets suggests additions to your knowledge base
Week 2
Ask why you didn't switch sooner
Over 50% of tickets auto-resolved
Near-instant responses for end users
IT team freed up for larger projects
Week 3