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Gleyk/Proactive AI
Proactive AI

Work starts on time. Without another chat message.

Configure events and schedules that let Gleyk gather information, start research or prepare an output. Give recurring tasks a workflow of their own.

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GleykProactive workflowsA
A

Prepare a summary of new support requests every weekday.

Jira · requestsKnowledge base
Morning support briefingWorkflow

Scheduled start

Weekdays, 09:00 · team time zone

01

Collect changes

New requests since the previous run

02

Prepare the briefing

Themes, unanswered questions and next steps

03
Sources and actions are configured
Illustrative workflow · sample data
01Proactive workflows

Let the right event start the right work.

A morning briefing, a new document or a change in a connected system: define the condition once. Start workflows on a schedule, webhook, connector event or periodic tool check.

GleykProactive workflowsA
A

Prepare a summary of new support requests every weekday.

Jira · requestsKnowledge base
Morning support briefingWorkflow

Scheduled start

Weekdays, 09:00 · team time zone

01

Collect changes

New requests since the previous run

02

Prepare the briefing

Themes, unanswered questions and next steps

03
Sources and actions are configured
Illustrative workflow · sample data
02Deep research

Give a complex question a proper investigation.

Bring together internal documents, attachments and permitted tools. Gleyk breaks the question into stages, gathers evidence and prepares a report. Longer work continues in the background with visible progress.

GleykDeep researchA
A

Which vulnerable assets need attention first, and why?

Scanner reportAsset inventorySecurity policy
Research · output prepared

Vulnerability remediation priorities

  1. Gather evidence

    Scanner findings matched to the asset inventory.

  2. Check business context

    External services and system owners identified.

  3. Prepare recommendations

    Priority, evidence and next step for each asset.

Research report

External services

Review first

Evidence and limitations

Findings include sources
Illustrative workflow · sample data
03Actions with control

Review what will change before it changes.

The assistant can prepare an action in a connected system. Your policy determines when confirmation is required. At a checkpoint, a person reviews the parameters and decides to approve, reject or revise.

GleykActions with controlA
A

Create an issue to review the external service and attach the evidence.

Research reportJira

Ready for approval

This example requires human approval

Action
Create issue · Jira
Summary
Review external service configuration
Evidence
Scanner report + asset record
Policy
Changes require confirmation
Available decisions at this step
ApproveReviseReject
Illustrative workflow · sample data
The path to an outcome

A clear sequence of work.

Define sources, permissions and review checkpoints before the workflow runs.

  1. 01

    Choose recurring work

  2. 02

    Define an event or schedule

  3. 03

    Connect permitted tools

  4. 04

    Review run results

The outcome

For example: a briefing of new requests at the start of the day, with themes and next steps.

Deployment considerations

Configured for your data and rules.

Runs rely on explicit conditions. Available events and actions depend on connected systems and workflow settings.

Explore controls
Explore what connects
Agents & automationWork executionIntegrations
Start with your work

Bring us a workflow. Let’s see what AI can do.

Tell us about your team’s task and systems. Together we’ll scope a pilot and decide how to evaluate the result.

Discuss my workflow