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Walkthrough Complete - Council Chatbot

You’ve completed the Council Chatbot walkthrough

Walkthrough complete

You've experienced an AI chatbot for council services

Congratulations! You've just experienced how AI can transform resident services. In 10 minutes, you've seen what would have taken weeks of research and demos with traditional software vendors.

What you've learned

💬 Natural conversation

The chatbot understood questions in plain English, not keywords. It handled location context, follow-ups, and different phrasings naturally.

Value: Residents get help without learning how to "search correctly"

📚 Council-specific knowledge

Responses came from your council's knowledge base, not generic AI training. Accurate, authority-specific answers without expensive customization.

Value: Trust and accuracy without building from scratch

Instant responses

Sub-3-second responses for complex queries. No menus to navigate, no pages to click through, no waiting on hold.

Value: 24/7 self-service that residents will actually use

💷 Cost-effective scaling

Serverless architecture means you pay per conversation, not per resident. Zero cost when idle, automatic scaling when busy.

Value: No upfront investment, costs match actual usage

Next steps

Generate Evidence Pack

Create your business case with what you've learned. Perfect for committee papers.

Generate Evidence Pack

Return to Council Chatbot

Review deployment options, costs, and technical details.

Back to scenario

Try Another

Explore more AI scenarios for local government.

Browse scenarios

Clean up your resources

Good news: Your resources will automatically delete after 2 hours from deployment. However, you can delete them now to stop any further charges immediately.

Warning Deleting your stack will permanently remove all data including:
  • Database content (RDS Aurora)
  • Uploaded files (EFS storage)
  • Any configuration changes you made

Step-by-step deletion

  1. Open the CloudFormation console

    Go to CloudFormation console (US East 1) (opens in new tab)

  2. Find your stack

    Look for a stack named: ndx-try-council-chatbot-[timestamp]

    The timestamp is when you deployed. You can sort by "Created time" to find recent stacks.

  3. Select and delete

    Select the checkbox next to your stack, then click the Delete button.

  4. Confirm deletion

    Click Delete in the confirmation dialog. The stack status will change to DELETE_IN_PROGRESS.

  5. Wait for completion

    Deletion typically takes 5 to 10 minutes. The stack will disappear from the list when complete.

Costs stop after deletion

Once your stack is deleted, you will not incur any further charges for this scenario.
Estimated evaluation cost: Less than $0.50 for a 15-minute trial

Troubleshooting

Stack shows DELETE_FAILED status

This usually happens when resources can't be automatically cleaned up. Common causes:

  • S3 bucket not empty: The bucket may contain files. Go to S3, empty the bucket manually, then retry deletion.
  • Lambda functions in use: Wait a few minutes and retry. Sometimes functions take time to fully stop.
  • Network interfaces still attached: These usually clear within 5 to 10 minutes. Retry the deletion.

To retry deletion: Select the failed stack and click Delete again.

I can't find my stack in the list

If your stack isn't visible:

  • Check the region: Make sure you're viewing US East (N. Virginia) in the console header.
  • Stack already deleted: It may have auto-deleted after 2 hours. No action needed!
  • View deleted stacks: Click "View nested" dropdown and select "Deleted" to see recently deleted stacks.
Extending your evaluation time

If you want to continue testing beyond the 2-hour limit:

  • Resources will auto-delete after 2 hours total (from deployment)
  • Cost: approximately $1-2 per hour of active testing
  • Maximum cost is capped by template configuration

You can redeploy the scenario anytime to start fresh with a new 2-hour window.

Still having trouble? Contact the NDX:Try team or report an issue on GitHub (opens in new tab).

Questions or feedback?

We'd love to hear about your experience with this walkthrough: