Where most IT work actually comes from
The bulk of what IT handles day to day is access requests, device issues, account lockouts, and onboarding tasks. These requests don't get written up in post-mortems. They just accumulate.
At a few hundred employees they come in dozens of times a day. At larger organizations they're continuous, and unlike a migration or a security incident, they don't have a resolution date. The volume is permanent and grows with headcount.
Password resets alone account for 20-30% of all IT service desk volume, according to Gartner. Add access provisioning and onboarding and you've covered the majority of what most IT teams are actually doing on any given day.
Why these workflows are harder to manage than they look
Onboarding a new employee isn't one task. It's creating accounts across multiple systems, assigning the right applications, provisioning a device, configuring permissions, and making sure everything is documented for compliance. Each step touches a different system: identity providers, SaaS tools, device management platforms, HR software. None of those systems talk to each other automatically.
When request volume is low, IT manages this through a mix of tickets, checklists, and institutional knowledge. It works because one or two people know the steps and can hold the process in their head.
What usually breaks the system isn't a single moment of failure. It's accumulation. Tickets sit in an unassigned queue because there's no auto-routing, and someone has to manually scan the list every morning to figure out what needs attention.
By the time the pattern is visible, it's already a backlog:
A step gets skipped on an offboarding and access doesn't get revoked for a week. The security team finds out during an audit, not from IT.
A new hire's provisioning is half-complete because the person who usually handles it was out. The employee spends their first two days pinging IT for tools they were supposed to have on arrival.
A device replacement request sits in a queue for five days because it was filed in the wrong category. The employee works from a personal laptop in the meantime, outside MDM.
The workflows that generate the most ticket volume
Most IT ticket volume comes from a short list of repeatable workflows. The same onboarding sequence runs for every new hire. The same access approval routes to the same manager. Account unlocks follow an identical path every time.
Employee onboarding and offboarding:
This is where manual coordination fails most visibly. A new hire who can't access their tools on day one creates a ripple: their manager has to cover, their team can't collaborate with them, and IT fields follow-up requests for days. Offboarding carries the opposite urgency: access needs to be revoked across every connected system the moment someone leaves, not when IT gets to it.
Application access requests:
The highest-volume workflow at most companies. At Scale AI, hundreds of daily requests came in for tools like Slack channels, GitHub repos, Zoom enterprise licenses, and Salesforce access, each one requiring role verification, manager approval, and manual provisioning. At most companies running this manually, the process touches three to five people before access is granted.
Device provisioning and replacements:
Even straightforward hardware requests involve coordination between inventory systems, device management tools, and IT staff. A laptop replacement that takes a week means the employee is either borrowing hardware, working from a personal machine, or not working at all.
Account recovery:
Password resets, account unlocks, and Okta MFA resets follow an almost identical resolution path every time, which makes them the first workflows most teams automate.
Even when each one takes only a few minutes to resolve manually, the volume adds up quickly. It’s common for support engineers to spend a meaningful chunk of the day handling nothing but resets and unlocks, especially after weekends, company-wide password expirations, or device changes that trigger MFA issues.
Internal support and troubleshooting:
Many of these requests can be resolved through a well-maintained knowledge base without any manual IT involvement. The ones that can't are usually underspecified at intake, which adds a back-and-forth round trip before resolution can begin.
What automation actually changes
Traditional help desk platforms treat every request as a ticket. A request enters a queue, someone triages it, and an engineer completes the required steps manually. The system records what happened. Everything else is a person's job.
When organizations automate these workflows, the resolution logic gets defined once. In Console, this happens through playbooks: plain-English instructions that describe what should happen when a specific type of request comes in.
When an employee asks for access to an application, Console reads the message, matches it to the relevant playbook, pulls the employee's role and department from Okta, evaluates the request against predefined access policies, routes to the right approver if one is required, provisions the license on approval, and logs the action. If the access policy includes a time limit, Console revokes access automatically when it expires. No ticket enters a queue. No engineer touches it.
The practical impact is real but comes with a caveat. Ticket volume drops significantly for the request types that get automated, and resolution time on those requests goes to near-zero outside business hours.
What takes longer is setup. Defining workflows, connecting systems, and handling edge cases that fall outside the standard path requires upfront configuration work. Teams that skip that investment end up with automation that handles 80% of requests cleanly and creates confusion for the rest.
Automating employee workflows with Console
Console is an AI-native IT automation platform that resolves employee requests directly inside Slack and Microsoft Teams, without requiring employees to open a portal or submit a ticket.
When an employee messages asking for access to Salesforce, Console reads the request in natural language, pulls their department and role from Okta, pings their manager in Slack for approval, provisions the license on confirmation, and closes the loop automatically. The platform also aggregates knowledge from connected sources like Confluence, Notion, and Google Docs, so common questions get answered directly rather than generating tickets.
The results show up in the numbers.
Webflow hit 75% automation coverage with ticket deflection peaking at 87%. Their help desk efficiency doubled from a 1:100 to a 1:200 IT-to-employee ratio.
Bloomerang's 11-person IT team deflected 60% of tickets and absorbed 20% company growth without adding headcount. Their IT satisfaction score jumped from 84% to 94%.
Scale AI went from 15% auto-resolution with their previous tool to 57% with Console within months. Engineers who had been working 10-plus-hour days on tickets moved to infrastructure and security projects.
Console doesn't start with tickets. It starts with intent: understanding what an employee is trying to do and resolving it before a ticket exists. For requests that do require human judgment, they arrive already enriched with identity, device, and application context from systems like Okta and Jamf, so the engineer who picks them up can act immediately.
Subscribe to the Console Blog
Get notified about new features, customer
updates, and more.