WKIL

Get every user to first value, faster

Use agents to coordinate onboarding, in-product support, product-usage signals, and customer-success alerts.

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Common challenges

What's costing you daily?

  • Low new-user activation
  • Repetitive support tickets about the same features
  • Customer churn with no early warning
  • Generic, untargeted email campaigns
What agents can support

Operations you can configure and run

Smart in-product onboarding

Assistant guides each user step by step by role and goals.

  • Tours that adapt to the user's role
  • Skip steps for power users
  • Time-to-first-value measurement
Intercom
OpenAI
In-product support

An assistant trained on your product knowledge, answers instantly, and opens a support ticket when needed.

  • Trained on product docs
  • Multilingual
  • Context-aware handoff to support
OpenAI
Intercom
Zendesk
Usage-based churn-risk signals

The agent flags low-usage signals and alerts the customer-success team to follow up with the account.

  • Proactive alert on usage drop
  • Suggested follow-up actions
  • Automatic tasks for the customer-success team
Slack
HubSpot
Example workflows

Example Workflow in WKIL

Workflow 1 — Step-by-step onboarding
Trigger

New signup

Outcome

Improved activation rate for new users.

Steps
  1. 1Fetch the role from the signup form
  2. 2Send a personalized onboarding tour
  3. 3Follow up after 24h and 72h
  4. 4Alert the customer-success team if the user hasn't activated
Intercom
OpenAI
Slack
Workflow 2 — Weekly usage-risk review
Trigger

Every Monday

Outcome

Faster escalation of accounts with low-usage signals.

Steps
  1. 1Pull usage metrics for each account
  2. 2Identify accounts with low usage
  3. 3Build a list of accounts to follow up on
  4. 4Create tasks for the customer-success team
HubSpot
Slack
Connected applications

Applications agents work across

IntercomIntercomZendeskZendeskMixpanelMixpanelHubSpotHubSpotStripeStripeSlackSlack
Permissions & human oversight

Agents work, your team stays in control

Separate permissions for each agent
Application access controls
Human approval before sensitive actions
Execution history and audit visibility
Escalation to team members when needed
Performance, usage, and cost monitoring
Performance tracking

Metrics You Can Monitor

Improved new-user activation
Faster escalation of accounts with low-usage signals
Fewer repetitive support tickets

Results vary based on the task, data quality, integrations, and usage scale.

How to start

Start with WKIL in Five Steps

Define the workflow
1
Choose the task or outcome you want to run inside your business.
Create or hire agents
2
Create custom agents or start with ready-made agents from the marketplace.
Add company knowledge
3
Connect the files, policies, and data sources your agents need.
Connect applications and set permissions
4
Choose the applications, the allowed actions, and the required approvals.
Test, then run
5
Review the results first, then expand usage gradually.
FAQ

Quick answers

Is the agent trained on our product docs?

Yes — the agent can be connected to your product docs and help center to answer from them.

Does it accurately predict who will cancel?

No. The agent relies on usage-based risk signals to flag at-risk accounts, not a guaranteed-accuracy prediction model — the decision and follow-up stay with your team.

Start Running AI Agents Across Your Business Operations

Create a new agent or hire a ready-made one, connect it to your applications, and define its permissions inside WKIL.

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