Signals into findings
Correlate alerts and webhooks into an operational record. Start investigating from the finding, without waiting for someone to open a ticket.
THE PLATFORM
Carry the context.
Carry out the work.
Connect the knowledge your team has with the systems it operates, the decisions it makes, and the outcomes it needs.
THE CONNECTED PLATFORM
More of the work.
In one place.
Seven connected areas carry context from the first signal to the next visit. Explore the depth behind each one.
Find the context behind the alert.
Bring signals, system evidence, and previous resolutions into the same investigation.
Evidence before action
Inspect the likely cause, confidence, supporting evidence, and missing information before reviewing a proposed fix.
Know the actual target
Gather process, service, resource, installation, and event-log context. Resolve application names against the affected system.
Recognize recurring problems
Review repeated log signatures, telemetry anomalies, and incident history to identify work worth automating.
Describe the work. Make it repeatable.
Turn operational know-how into workflows your team can inspect, schedule, and reuse.
Plain-language design
Describe an operation and prepare an editable automation. Review its proposed steps, inputs, runtime, and target before saving.
Manual, scheduled, event, or webhook
Run work on demand, on a recurring schedule, from a matching event, or through a signed webhook.
A managed workflow lifecycle
Create, edit, enable, pause, and trigger automations. Keep run status and approval requirements visible.
Actions across tools
Update incidents, add work notes, create issues, transition tickets, and update knowledge pages through connected tools, including ServiceNow.
Carry a plan through to a checked result.
Match the proposed work to a viable execution path, then separate a completed action from a verified recovery.
Generate a new solution
When no existing solution matches, AI uses the problem, target context, and available evidence to generate and prepare a new solution. The proposed work then goes through validation, applicable approval policy, and execution-readiness checks.
Check what the job needs
Validate the target, tools, runtime, permissions, and scope. If a prerequisite is missing, surface it before dispatch.
Reach the connected environment
Execution paths include agents, SSH, WinRM, cloud command services, containers, and databases. Availability depends on the task and configured access.
Verify and recover
Check service, process, port, HTTP, file, database, and container state. Use declared rollback steps where the selected action supports them.
Give your next incident a head start.
Put the history your team already owns to work, with the source and outcome still attached.
Bring your existing knowledge
Import historical resolutions and operational records from configured sources or JSON/CSV. Retain their origin for review.
Retrieve relevant experience
Find exact and similar past issues within the customer context. Give the planner relevant precedents.
Capture the outcome
Record whether a fix was verified, edited, rated, or rolled back. Use those outcomes to improve reuse and ranking.
Keep learning under review
Manage source sync, corpus health, and curated model-evaluation or fine-tuning exports with tenant scoping and sanitization.
See what you can reach—and what is missing.
Bring inventory, remote work, readiness, and configured notifications into one operating view.
Enroll and organize agents
Inspect inventory and heartbeats, distinguish online and offline systems, and organize endpoints with tags.
Follow every remote job
Track queued, claimed, completed, and failed work. Review coverage and preflight gaps before a rollout.
Cloud and management context
Use configured cloud inventory, identity, and device-management connections, with permissions scoped to the relevant actions.
Keep the team in the loop
Configured Slack, Teams, and email notifications connect approval requests, completions, failures, and rollbacks to their run records.
Give automation clear boundaries.
Make proposed work, human decisions, and execution evidence available to the people responsible.
Policies and approvals
Apply capability rules, role permissions, and risk-based review. Keep approval decisions attached to the run.
Operational controls
Use dry runs, maintenance controls, and an emergency stop. Validate proposed work and its signed execution context.
Runs, audit, and insights
Inspect approvals, execution outcomes, verification, and audit events. Find failed, stuck, or incomplete work.
Customer administration
Manage memberships, identity mappings, connectors, secret controls, and policies for the selected deployment.
Take the investigation to the customer.
Carry useful context across visits, from host diagnostics to a record of what changed.
A portable technician workspace
Use local field mode for host diagnostics, findings, and remediation review during a customer visit.
Discover the site context
Inspect available host, peripheral, and network context within the connected environment and your permissions.
Compare visits and versions
Save a site baseline and identify added, removed, and changed software in a later snapshot.
Preserve the visit record
Keep local visit and audit records alongside findings and runs. Cloud services and AI generation still require connectivity.
All published capability areas have been internally verified, as confirmed by founder Dakota Vogt. Onboarding connects your systems, sets access and policies, and defines your acceptance criteria.
FOLLOW THE WORK
From “someone should”
to a recorded outcome.
Choose a scenario to see how the pieces connect. This walkthrough illustrates the workflow; it does not operate live systems.
IT OPERATIONS
A service stops responding. Again.
Someone checks the host, finds the last ticket, repeats the fix, and writes the update.
THE HANDOFF
One connected record from the original symptom to the verification result.
- 01
Investigate
Gather the alert, target details, service state, and relevant prior resolution.
- 02
Prepare
Build a proposed response with the intended target, prerequisites, and recovery checks.
- 03
Review
Apply the configured policy. Route work requiring approval to an operator.
- 04
Verify
Run approved work, evaluate the declared checks, and retain the outcome.
FROM KNOWLEDGE TO ACTION
No matching solution?
AI prepares a new one.
AutoSolve first looks for a relevant solution to reuse or adapt. When there is no match, AI uses the problem details, target context, and available evidence to generate and prepare a new solution, including the proposed steps and execution requirements.
The generated solution goes through validation and the configured approval policy. AutoSolve checks the available execution paths and identifies missing targets, permissions, tools, or runtimes before dispatch. After execution, it checks the outcome and retains feedback for future work.
Explore execution controlsBEFORE DISPATCH
Target identified
Runtime available
Tools present
Permissions scoped
Policy reviewed
Verification defined
Illustrative requirements; checks vary by action.
LET’S MAKE IT WORK
Bring the work you want off your plate.
See the platform. Choose a workflow. Define what success looks like.