IT service desks
The same incidents keep coming back.
Turn recurring support work into a reviewable process. Bring ticket context, previous resolutions, proposed actions and outcome checks together so each technician has a clearer starting point.
IT operations software / Built in Ohio
Put operational knowledgeto work.
AutoSolveAI connects proactive monitoring, AI diagnosis, remediation, fleet operations and repeatable automation. Investigate an alert, prepare a response, run permitted work across connected systems and review what changed, with the context and controls kept together.
For IT operations teams, infrastructure engineers and managed service providers.
● ● ●INTERACTIVE WALKTHROUGHTRY IT
TICKET TO REVIEWABLE OUTCOMEWalk through a support incident.Illustrative workflow · no systems connected
EXAMPLE TICKET
The reporting service stopped responding on a known server.
PROPOSED RESPONSEReview the named service and target, then approve a permitted restart.
OUTCOME TO CHECKCheck that the service is running. Confirm application recovery separately.
Awaiting operator review. Choose approve or deny to explore the next step.
This is an explanation of the workflow, not a live product session or a measured customer result. Request a private demonstration of the working software.
DEMONSTRATION DATA No live device connected
WORKING SOFTWARE / DEMOS + PILOTSDirect access to the builderCustomer pilots + commercial partnershipsApproval + verification
Inside AutoSolveAI
See the application.
Inspect the work.
Explore actual automation and run-insight screens. Open either image at full size, then request a demonstration of the workflow behind it.
Run Insights connects recorded outcomes to the underlying work. August 2026 test-environment capture; the figures shown are test-run metrics.
Built for the people operating the systems
Less repeated investigation.
More useful resolution work.
Infrastructure + operations
A successful command is only part of the answer.
Review the affected target, approve the intended change and check the resulting service state. Preserve failed checks and unresolved questions for the next operator.
Managed service providers
Customer environments need their own context.
Evaluate repeatable support workflows against each customer’s systems, permissions and operating rules. Review customer boundaries, shared operating practices and the execution paths each environment needs.
Alerts, tickets, scripts and operator notes often hold different pieces of the same problem. AutoSolveAI brings investigation, action and outcome review into one workspace. Use it to handle incidents, organize routine maintenance and build repeatable operations.
Inside the product experience
From proactive findings
to repeatable operations.
Monitoring & diagnosis
Turn scattered symptoms into an investigation with evidence behind it.
Signals become findings
Bring alerts and webhooks into a shared operational record. Correlate related signals and begin planning from a finding, without waiting for someone to open a ticket.
Read-only diagnostic agent
Investigate a likely cause, confidence, supporting evidence and missing information. Review a recommended packaged fix or an escalation reason before moving to execution.
Inspect the affected system
Gather process, service, resource, recent-install and event-log evidence. Resolve application and service names against the target so an investigation refers to the actual system.
Find repeated patterns
Review telemetry anomalies, recurring log signatures, stack-trace context and repeated problems. Use the recurrence history to decide which investigation deserves a reusable response.
Read all AutoSolveAI capabilities
Monitoring & diagnosis
- Signals become findings
- Bring alerts and webhooks into a shared operational record. Correlate related signals and begin planning from a finding, without waiting for someone to open a ticket.
- Read-only diagnostic agent
- Investigate a likely cause, confidence, supporting evidence and missing information. Review a recommended packaged fix or an escalation reason before moving to execution.
- Inspect the affected system
- Gather process, service, resource, recent-install and event-log evidence. Resolve application and service names against the target so an investigation refers to the actual system.
- Find repeated patterns
- Review telemetry anomalies, recurring log signatures, stack-trace context and repeated problems. Use the recurrence history to decide which investigation deserves a reusable response.
Workflow automation
- Design work in plain language
- Describe an operation and use the planner to prepare an editable automation. Review the proposed script, inputs, runtime and target before saving it.
- Four ways to start
- Run work manually, on a recurring schedule, when an operational event matches, or from a signed webhook. Configure the trigger alongside the workflow.
- Manage the workflow lifecycle
- Create, edit, enable, pause and manually trigger automations. See scheduled and event-driven work together with its run status and approval requirements.
- Carry work across tools
- Configured actions can update incidents, add work notes, create issues, transition tickets or update knowledge pages. Keep external references connected to the operational work.
Remediation & execution
- Reuse a fix or generate a new one
- Select a known capability, adapt a relevant historical resolution or generate a response from the evidence. Built-in recipes are a starting point; new work can declare its own execution requirements.
- Choose a viable execution path
- Match the work to a provider integration or an available runner. Check the target, tools, runtime, credentials, permissions and scope; expose the missing prerequisite when no path is ready.
- Operate across connected systems
- Execution paths include endpoint agents, SSH, WinRM, AWS SSM, Azure Run Command, GCP OS Config, Kubernetes, Docker and database operations. The configured task and access determine what is available.
- Verify and recover
- Check services, processes, network ports, HTTP responses, files, databases and container state. Distinguish execution from verified recovery, and use declared rollback steps where the action supports them.
Knowledge & learning
- Import existing knowledge
- Bring historical resolutions and operational records from configured systems or JSON/CSV imports. Normalize source records and retain their origin for later review.
- Retrieve relevant experience
- Search prior issues and resolutions by exact match or similarity within the customer context. Give the planner useful precedents instead of starting every investigation from an empty prompt.
- Learn from the outcome
- Capture whether a fix was verified, edited, well rated or rolled back. Use recorded outcomes to rank capabilities and identify examples suitable for reuse.
- Administer the learning process
- Review imported data, source sync and corpus health. Support model evaluation and curated fine-tuning exports, with tenant scoping and sanitization controls around the learning inputs.
Fleet & integrations
- Agent enrollment and inventory
- Enroll execution agents, inspect inventory and heartbeats, distinguish online and offline devices, and use tags to organize the fleet.
- Remote jobs and coverage
- Track queued, claimed, completed and failed work. Coverage and preflight views help the team identify connector gaps and readiness requirements before a rollout.
- Cloud and management context
- Connect configured cloud inventory, identity and device-management systems. Examples include AWS, Azure, Google Cloud, AD/Entra, Intune, Jamf and SCCM, with action-specific permissions.
- Keep people informed
- Send configured Slack, Microsoft Teams and email notifications for approval requests, completed work, failures and rollback events. Operators can return to the underlying run record.
Governance & visibility
- Policies and approval queues
- Apply customer-specific capability rules, role permissions and risk-based review. Approve, deny or request review while keeping the decision with the run.
- Execution controls
- Use dry runs, maintenance controls and an emergency stop. Validate proposed work and its signed execution context before dispatch.
- Audit and run insights
- Search runs, inspect approvals and verification results, review audit events, and identify failed, stuck or incomplete work. Test statistics stay distinct from measured customer outcomes.
- Customer administration
- Manage membership, identity mappings, connectors and tenant policies through the application. Configure secret storage and deployment boundaries for the selected customer environment.
Field service
- Portable technician workflow
- Use a local field-mode workspace for host diagnostics, findings and remediation review during a customer visit. Local records support the visit even when connectivity is limited.
- Host and peripheral discovery
- Inspect the host and available peripheral or network context, then bring the relevant finding into a planned action. Discovery is bounded by the connected environment and permissions.
- Baseline and version drift
- Save a customer-site baseline and compare a later snapshot. Identify added, removed and changed software versions across visits.
- Visit history
- Keep a local visit and audit record alongside findings and runs. Online integrations and AI generation retain their own connectivity requirements.
AutoSolve is the product. NoPager is the company behind it.
Explore the current platform on NoPager's official website, including a recorded application repair: AutoSolve investigated the failure, generated a configuration fix and checked that the application worked again. The record identifies the controlled test and its approval.
Inspect the actual AutoSolve repair →Discuss an AutoSolve demonstration →One workflow, connected steps
Keep the context
with the work.
- 01
Understand the signal
Start from a finding, ticket or operator request. Gather symptoms, identify the affected target and inspect the available evidence.
- 02
Prepare a response
Use relevant history, a reusable capability or an AI-generated proposal to plan the next action.
- 03
Review before changing anything
Inspect the plan, permissions and expected checks. Approve, deny or request more information.
- 04
Carry out the permitted action
Run the agreed task through a configured execution path inside the customer’s approved scope.
- 05
Check the outcome
Compare the observed result with the success criteria. A failed or incomplete check stays visible for review.
- 06
Keep the result useful
Retain the run record and operator feedback so future work can build on what was learned.
The customer pilot uses supervised execution and an agreed set of permitted actions. Planning, running an action and verifying a result are separate parts of the workflow.
Connect the work you already do
Knowledge in.
Useful action out.
| Work area | Examples in the platform | What the connection enables |
|---|---|---|
| Tickets and knowledge | ServiceNow, Jira, Zendesk, GitHub, Linear, Confluence | Historical context, issue and ticket actions, work notes and knowledge-page updates through the relevant connector. |
| Monitoring and incidents | Datadog, Dynatrace, Splunk, PagerDuty, Opsgenie, generic webhooks | Normalize incoming events into signals and findings; use supported alert actions and workflow triggers. |
| Cloud and execution | AWS, Azure, Google Cloud, Kubernetes, Docker, SSH, WinRM, SQL | Discover target context and use a configured provider or runner that meets the action requirements. |
| Identity and device management | AD/Entra, Intune, Jamf, SCCM | Review configured inventory and permitted identity or device actions, with action-specific controls. |
| Team notifications | Slack, Microsoft Teams, email | Notify the right people when a review is needed or a run completes, fails or rolls back. |
Each integration has its own scope. A named connector does not imply every vendor feature is supported; the demonstration confirms the exact read, write and execution operations needed.
Start where the work repeats
Practical use cases.
A defined operating scope.
| Support need | Workflow to evaluate | What the team reviews |
|---|---|---|
| Printing interruptions | A permitted print-service recovery action on a supported endpoint. | Service checks, action results and whether the user can resume printing. |
| Endpoint connectivity | Agreed DNS or network recovery actions with customer-selected reachability checks. | Which checks recovered, which failed and whether the business application is reachable. |
| A named service is unhealthy | Identify the affected machine and service, review a restart plan and approve the action. | The resulting service state and the separate application checks needed to confirm recovery. |
| An alert lacks a clear target | Gather target context and identify what is missing before proposing a system change. | Whether the intended environment and system are established well enough to proceed. |
| A recurring customer issue | Compare the current ticket with relevant past resolutions and evaluate an approved response. | Whether the previous fix applies, what changed and what the new result shows. |
Work with your existing environment
Connect supported ITSM, monitoring and management systems, enroll execution agents and define the operational scope. Endpoint, server, cloud, container and identity workflows depend on the configured path and the requirements of each action.
The platform can select an available runner or provider path when it satisfies the task requirements. Readiness checks show missing tools, runtime, permissions or target context so the team knows what to configure next.
Know the customer boundaries
The commercial deployment model uses a dedicated customer control plane with approved execution zones. A customer-hosted option can be scoped where private access or residency requirements call for it. Agree users, targets, integrations and approval responsibilities, then validate the selected workflow before rollout.
Data access, model-provider processing, retention and permitted ticket content are reviewed before onboarding. Detailed implementation materials are discussed privately with the appropriate reviewers.
Measure what makes it worth using
A useful pilot ends
with a decision.
Choose an investigation, maintenance or support workflow, establish the current process, and evaluate the same work with AutoSolveAI. Agree the measures before the pilot starts.
Operator effort
Compare hands-on review and resolution time, including work needed when automation cannot complete.
Verified outcomes
Track completed checks, unresolved conditions and operator confirmation of the business result.
Escalations + exceptions
Record missing context, denied actions, failed checks and the handoff needed to continue.
Consistency + traceability
Review whether similar incidents follow the agreed process and leave an understandable record.
What a scoped engagement includes
- A selected operational workflow and a baseline for comparison.
- An agreed environment, permitted actions and approval process.
- A demonstration and supervised evaluation of the chosen workflow.
- A review of run records, outcomes, exceptions and operator feedback.
- A recommendation for rollout, further work or a different approach.
What to bring to the first conversation
- Your operational tools and the work that repeats.
- The affected systems and current resolution process.
- Approximate incident volume and the team responsible.
- The result that would make an evaluation worthwhile.
Begin with a description or redacted example. Do not put credentials, private customer records or sensitive logs into the public inquiry form.
These are evaluation measures, not published customer results. Time savings, resolution rates and commercial value are established in the customer’s own workflow.
Working software. A commercial next step.
Choose the right way
to work together.
Customer pilot
Evaluate an operational workflow.
Bring one workflow and a clear success measure. Agree implementation, support and pricing in a written scope before work starts.
MSP + licensing partner
Build an offering around your customers.
Discuss deployment responsibilities, customer isolation, service delivery and commercial terms for your intended offering.
Acquisition + product partner
Build on the platform.
Explore a product acquisition, licensing, funding or co-development. Review the working application, operational workflows and commercial opportunity in a private discussion.
Work with the builder
Bring the operational work your team wants to improve.
Tell me what you need to learn. I’ll review the fit and help define a useful evaluation.
- ↗A private demonstration of monitoring, investigation, automation and recorded outcomes
- ↗A review of your systems, existing tools and chosen operational workflow
- ↗A scoped pilot with configured targets, policies, approvals and verification
- ↗A review of operator effort, exceptions and the evidence needed for rollout
- ↗Software licensing, MSP delivery, acquisition and product-partnership discussions
Pilot price, integrations, deployment responsibilities, support and acceptance criteria are agreed in writing before work starts. No payment is required to request a demonstration.
Dakota VogtInventor & software engineer · Lima, OhioMeet the builder ↗Founder of LandSight Solutions LLC ↗
Before you decide
Good questions.
Straight answers.
Can it automate work beyond a support ticket?+
Yes. Describe an operation in the automation designer, review the generated workflow and target, then choose a manual, scheduled, event or webhook trigger. Monitoring findings can also start an investigation before a ticket exists.
Is it limited to a fixed set of playbooks or operating systems?+
The built-in catalog supplies reusable recipes. Generated work and customer-specific tasks can use a provider or runner that satisfies the declared requirements. The system checks tools, runtime, credentials, scope and target context; a new target is not automatically a supported deployment.
How does the learning work?+
Import historical resolutions, retrieve similar prior work within the customer context, and capture verified outcomes and operator feedback. Administrators can review source sync and corpus health. Curated examples can support model evaluation or optional fine-tuning; that does not mean the system should learn indiscriminately from every record.
What can a field technician use?+
Field mode provides a local diagnostic workflow, findings, planned remediation and visit records. Customer-site baselines support comparison of added, removed or changed software versions. Cloud integrations and AI generation still depend on the connectivity and configuration they require.
Where does the platform run?+
The commercial model is a dedicated customer control plane with approved execution zones and optional agents. A customer-hosted private deployment can be scoped where needed. Identity, integration readiness, release packaging and operating responsibilities are confirmed before a production rollout.
What can I see in a demonstration?+
See proactive findings and AI investigation, reusable or generated remediation, agent and job management, scheduled and event-driven automation, and run insights. We choose a scenario relevant to your team and show the configured execution path, policy decisions and recorded outcome.
How is it different from asking an AI assistant for a fix?+
The workflow continues beyond a suggested answer. It connects the proposal to a target and permitted action, records the approval decision, supports controlled execution and presents outcome checks for review. The operator has a record of what was proposed, allowed, attempted and observed.
Does it make changes without a person approving them?+
The platform supports policy-driven automatic execution and approval queues. Higher-risk or generated actions are reviewed according to their controls. An initial customer pilot uses an agreed supervised scope, with permitted targets, actions and verification requirements.
Can it work with our existing ticketing and monitoring tools?+
The application includes ITSM, monitoring and device-management integration paths. Incoming alerts can become findings or trigger defined automation; historical resolutions can provide context. Live connections require the appropriate credentials, permissions and validation for the intended workflow.
Which operating systems and environments are supported?+
Execution is matched to the tools, runtime, permissions and target requirements of the task. Configured agents and integrations can cover endpoint, server, cloud, container and identity operations. Available actions are confirmed against your environment during onboarding.
What happens if the target or permissions are unclear?+
The workflow surfaces missing context or readiness requirements. The team can supply the needed information or change the scope before execution. An ambiguous service alert should not become an unreviewed change to an assumed machine.
Does a successful run mean the user problem is fixed?+
Not necessarily. Execution status, technical verification and the business outcome answer different questions. A running print service does not prove a document printed. The pilot defines the checks and user confirmation needed, and keeps failed or incomplete outcomes visible.
Can every change be rolled back automatically?+
No. Recovery depends on the action. A restart, for example, cannot restore the previous running process. Review available recovery steps, stop conditions and escalation responsibilities for each permitted pilot task.
How does it use previous tickets and operator feedback?+
Relevant prior resolutions can inform a new plan. Operators can record whether the fix helped, rate the result and note recovery or follow-up work. This gives future resolution choices customer-specific context while retaining the review and execution controls.
Where is customer information processed?+
The initial pilot uses an isolated deployment for one customer. That does not mean every processing step is offline: configured AI model services may process approved ticket context. Data fields, provider terms, access and retention requirements are reviewed before onboarding.
What results or certifications are available?+
Customer time savings and resolution rates have not been published here. The pilot measures the agreed workflow against your baseline. SOC 2, ISO 27001, FedRAMP and HIPAA certification are not claimed; requirements for your environment are reviewed separately.
How are pricing and partnerships handled?+
Pricing follows the workflow, integration effort, deployment and support scope. Customers can request a pilot proposal. MSPs, licensees and prospective acquisition or product partners can request a private demonstration and commercial discussion.
Start with the problem you need to solve.
See AutoSolveAI in action ↗