AI SOLUTIONS & EXECUTION

No matching solution? Prepare a new one.

Use an existing resolution when it fits. When it does not, AI generates and prepares a solution using the problem, target context, and available evidence.

See the guided demo Discuss your workflow

The unfamiliar problem is where a static runbook stops helping.

AutoSolve supports both reuse and new solution generation. Preparation connects the proposed work to its requirements, a capable execution path, the applicable policy, and a way to check the outcome.

WHAT YOU CAN DO

01

Reuse or adapt

Retrieve a relevant resolution and adapt it to the current context when the prior work provides a useful foundation.

02

Generate a new solution

Prepare a new response when no suitable resolution matches. Review proposed work alongside the context used to produce it.

03

Executable packages

Structure the proposed action with target and execution requirements so it can move beyond a text-only suggestion.

04

Choose a capable path

Use the configured provider or generic runner that can satisfy the package requirements.

05

Explain what is missing

Surface unavailable targets, access, tools, or runtime requirements before dispatch. A missing prerequisite is a task to resolve.

06

Verify and recover

Check the action-specific outcome. Review rollback or recovery options that exist for that action; recovery is not universal.

FOLLOW THE WORK

How the pieces connect.

An illustrative sequence. Your workflow defines the systems, actions, and acceptance criteria.

  1. 01

    Understand

    Use the issue, evidence, and target context.

  2. 02

    Prepare

    Reuse, adapt, or generate a solution.

  3. 03

    Authorize

    Validate requirements and apply approval policy.

  4. 04

    Verify

    Inspect execution and the declared outcome checks.

THE USEFUL OUTPUT

A reviewable solution, its execution requirements, the decision to run or hold, and a recorded outcome.

A question for your evaluation

Does the proposed solution address the issue, and does the outcome check establish that the intended result occurred?

Generated work follows validation, configured policy, and target readiness. AI generation alone does not authorize execution.

INSIDE THE PLATFORM

The operational workspace.

A related application view. Screenshots show configured test or demonstration data, not a customer deployment.

Actual application screenshot · test or demonstration environment

KEEP EXPLORING

LET’S MAKE IT WORK

Bring a real workflow.
See how the pieces fit.

See the platform. Choose a workflow. Define what success looks like.

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