What work can it take on?
Eligible share of actual requests. Reachable targets, required access and reliable input data. Keep unsupported cases in the denominator.
THE CASE FOR AUTONOMOUS IT
What could your people do
with that time back?
The opportunity is bigger than running a command. AutoSolve takes on the investigation, the choice of a fix, the permitted action and the checks around it.
Build a case around the work your company actually handles. See what changes operationally, model the capacity it could release, and define what a pilot must prove.
01 / THE OPERATING MODEL
AutoSolve does the work.
Your team sets the boundaries.
Choose a starting point. Follow the work that would otherwise move between a queue, an engineer and several tools.
THE STARTING POINT
“My application won’t open.”
From a request to a checked repair.
Inspect an actual application repair- 01
Identify
AutoSolve connects the request to the authorized user and affected device. It discovers the target environment instead of assuming an operating system.
- 02
Investigate
The agent collects permitted evidence: application responses, configuration, processes and other relevant system facts.
- 03
Work out a fix
AutoSolve evaluates useful past resolutions. When none fits, AI generates a new solution using the observed evidence and target constraints.
- 04
Apply policy
AutoSolve evaluates the actual action and target against company policy. Eligible work can proceed automatically; required review stays with an authorized person.
- 05
Act and check
The connected agent performs the authorized action. Separate verification checks test the result; command completion alone is not recovery.
- 06
Close the loop
The result is recorded, the employee can confirm whether work is restored, and successes or failures inform future resolution selection.
THE STARTING POINT
“The service is returning errors again.”
From a signal to an evidence-backed response.
Explore evidence-driven remediation- 01
Collect the signal
Configured monitoring and incident sources provide the alert and affected-resource context. Prometheus is an existing telemetry integration.
- 02
Inspect the target
AutoSolve gathers permitted runtime and health evidence for the identified resource, using its available agent or cloud inspection path.
- 03
Choose or generate
It ranks relevant historical fixes using outcomes, or prepares a new plan against the current evidence, prerequisites and execution constraints.
- 04
Check authority
Access, target scope and the actual change determine whether execution is allowed automatically or needs bound human approval.
- 05
Execute and verify
Work can dispatch through configured agents, AWS SSM, Azure VM Run Command or the GCP execution path. The plan’s checks assess the result.
- 06
Recover or escalate
Failure evidence remains visible. When retry policy permits, AutoSolve can generate a revised plan with fresh approval, or leave the unresolved work for a person.
THE STARTING POINT
“We still run these checks by hand.”
From a repeated procedure to governed automation.
Explore reusable automation- 01
Describe the work
A user describes the outcome and operating constraints. A reusable automation can begin with a plain-language goal, not a hand-written script.
- 02
Establish context
AutoSolve resolves the target and available tools, and uses relevant operational evidence and historical knowledge when available.
- 03
Design the work
AI prepares the executable approach, required inputs, prerequisites and checks. Saved capabilities can be reused when appropriate.
- 04
Set the boundary
Your team defines the authorized targets, access, schedule or trigger and execution policy. A generated plan still has to meet those requirements.
- 05
Run and check
The configured execution path performs the work and records its verification results. Missing prerequisites and failed checks remain explicit.
- 06
Improve the next run
Execution history, exceptions and outcomes give operators a basis for refining the automation and deciding where it can be used again.
Workflow illustrations, not live executions. Your pilot confirms the connections, allowed actions and verification needed for your environment.
02 / YOUR CAPACITY MODEL
Put your workload
behind the opportunity.
Use non-overlapping groups of work. Estimate how much is eligible and the human time that remains—including approvals, failed attempts and exceptions.
03 / THE INVESTMENT DECISION
Make a pilot earn
the next step.
Your case gets stronger when assumptions become observed results. Agree these measures before connecting the first workflow.
Define the pilot with usDid the problem stay resolved?
Execution, verification and user confirmation tracked separately. Record reopens, failed attempts and repeated incidents.
How much human work remains?
Measure investigation, approvals, exceptions, maintenance and follow-up—not just time spent clicking “Run.”
Is the released capacity worth the cost?
Compare measured people-time with software, model, infrastructure, integration and support costs. Treat contract savings as a separate decision.