Actionist·Chatling

Chatling

· #432 most-used

Build, deploy, and manage AI chatbots across your website and messaging channels

CommunicationAnalyticsSupportAIAutomationLead GenerationWebsite & CMS

Chatling is a no-code AI chatbot builder that lets businesses create and deploy intelligent chatbots trained on their own content — documents, URLs, FAQs — without writing a single line of code. Connect it to Actionist and your agents can query chatbot conversation logs, manage contacts, update knowledge base sources, and pull analytics to understand how customers are engaging — all without opening the Chatling dashboard.

Try Chatling with ActionistVisit Chatling
Average time saved
7 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of reviewing conversation logs, updating knowledge base sources, managing contacts, and compiling chatbot analytics across multiple channels.

Schedule

What your Chatling agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Tue–Thu
Tue
Wed
Thu
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

Chatling × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
7Apps spanned
~14 hrsSaved / week
6Personas served
For customer success
Featured3 apps

Escalated chat routed to support ticket with full transcript

When a chatbot conversation requires a human, the agent fetches the full message thread, bundles it with the visitor's contact details, creates a Zendesk ticket, and posts an alert to the support Slack channel — the rep opens the ticket with complete context and the customer never has to repeat themselves.

~3 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a Chatling conversation is marked as needing human handoff
Trigger
Step 1
Chatling
Detect conversation marked for human handoff
read
Step 2
Chatling
Fetch full conversation message thread
read
Step 3
Chatling
Retrieve contact record for the visitor
write
Step 4
Zendesk
Create support ticket with transcript attached
write
Step 5
Slack
Post escalation alert to #support-escalations channel
Result
Create support ticket with transcript attachedPost escalation alert to #support-escalations channel
The win
Saved per run
8 min
Runs / week
~20×
Every escalation arrives with full context — zero repeat questions from customers
Driven byCustomer Support Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    45 min / week
    Manual lead transfer from chatbot to CRM

    Sales reps check the Chatling dashboard daily, manually copy lead names and emails into HubSpot, and try to remember the context of each conversation before it ages out of memory.

    Sales Agent
    0 min
    Agent syncs leads to CRM with intent notes within minutes

    The agent reads each new Chatling contact and conversation thread, creates a HubSpot contact with intent notes extracted from the chat, and opens a deal for qualified leads — all within about a minute of capture.

  • Marketing
    30 min / week
    Manual knowledge base updates after content changes

    The content team publishes new help articles or product pages, then opens Chatling separately to add the URL, often forgetting or delaying the update until a customer asks a question the chatbot can't answer.

    Marketing Agent
    0 min
    Agent adds new content URLs to knowledge base on publish

    When a help article is published in Notion or the CMS, the agent adds its URL to the Chatling knowledge base within about a minute — the chatbot is trained before the first customer can ask about the new content.

  • Customer Support
    40 min / week
    Manually creating tickets from escalated chats

    When a chat escalates, a support agent logs into the Chatling dashboard, reads the transcript, copies the relevant details, and manually creates a ticket in the ticketing system — often with incomplete context.

    Customer Support Agent
    0 min
    Agent creates tickets with full transcript automatically

    The agent fetches the conversation thread and contact details the moment an escalation is flagged, creates a ticket with the full transcript attached, and alerts the team in Slack — the rep has complete context without asking the customer to repeat themselves.

  • Human Resources
    20 min / week
    Manually onboarding new hires to the chatbot system

    HR staff manually create Chatling contacts for new hires, add role-specific documents to the knowledge base, and remember to share the chatbot link — often forgetting until after the employee's first week.

    Human Resources Agent
    0 min
    Agent primes the onboarding chatbot for each new hire automatically

    When a new hire appears in the onboarding tracker, the agent creates their Chatling contact, adds role-specific documentation URLs to the knowledge base, and sends the welcome email with the chatbot link — the chatbot is personalised and ready on day one.

  • Finance
    25 min / week
    Manual compliance document audits in the knowledge base

    Finance and legal staff periodically log into Chatling to check which documents are training the compliance chatbot, manually removing outdated sources and adding new ones — an error-prone process with no audit trail.

    Finance Agent
    0 min
    Agent keeps compliance knowledge base current with every document change

    When a compliance document is superseded in Notion, the agent removes the old source from the chatbot's knowledge base and adds the replacement, logging the change with a timestamp — the chatbot never serves outdated guidance.

  • Operations
    60 min / week
    Manual weekly chatbot performance reporting

    Someone manually pulls conversation data from the Chatling dashboard each week, copies figures into a spreadsheet, and formats a summary report — a process that routinely slips to Wednesday before the data reaches anyone who needs it.

    Operations Agent
    0 min
    Agent delivers chatbot performance digest every Monday morning

    The agent runs every Monday, pulls conversation counts and resolution rates across all chatbots, writes the data to the support dashboard, and posts a digest to Slack — the whole team has the numbers before the first standup.

  • Legal
    15 min / week
    Manual GDPR erasure from chatbot data stores

    When a deletion request arrives, legal staff log into Chatling, search for all conversations and contacts tied to the requester, delete each one manually, and try to document the actions for the compliance trail.

    Legal Agent
    0 min
    Agent executes erasure requests with a logged audit trail

    When a deletion request is received, the agent locates all Chatling conversations and contact records for the requester, deletes each one, and logs every deletion action to the compliance tracker — the full erasure is documented in minutes.

+ 100s of other Chatling automations
Average time saved
24 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
9
Hours saved / year
450
Annual ROI
$33,750

Based on Chatling's typical team usage — the visible tasks plus a few other automations the agent runs: ~1.8 hrs / person / week of admin work automated.

Connect

How to plug Chatling into Actionist

Pick the connection method that suits your environment.

Connect Actionist to Chatling using an API key generated from your Chatling dashboard. Gives the agent full read and write access to chatbots, conversations, contacts, and knowledge base sources in your account.

1
Open Chatling Settings

Log in to your Chatling dashboard, go to Settings, then navigate to the Integrations section and select API.

2
Create an API Key

Click 'Create API Key', give it a descriptive name (e.g. 'Actionist'), and copy the generated key. Store it securely — it is shown only once.

3
Paste into Actionist

In Actionist, find Chatling in the Apps library, select API Key connection, paste your key, and click Test connection. Actionist runs a read-only test call to confirm the handshake.

Credentials you'll need
API Key*
Chatling dashboard → Settings → Integrations → API → Create API Key
Actions

15 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Chatling + Actionist

How does Actionist connect to Chatling?
Go to the Apps tab in Actionist, find Chatling, and click Connect. The connection uses an API key from your Chatling account. In Chatling, navigate to Settings → Integrations → API, generate a new API key with a name like 'Actionist', copy it, and paste it into the Actionist connection screen. Actionist runs a read-only test call to confirm the key is valid before any actions run. The key grants access to all chatbots, conversations, contacts, and knowledge base sources in your account.
What can an Actionist agent actually do with Chatling?
Agents can read and manage three main areas: conversations (list all chats, read message threads, update resolution status, delete conversations), contacts (list captured leads, create new contacts, delete contact records), and knowledge base sources (list all training sources, add URLs and text blocks, trigger resyncs, delete outdated sources). Agents can also retrieve chatbot settings and update chatbot configuration. The most common patterns are syncing chatbot-captured leads to a CRM, automatically updating the knowledge base when new content is published, and routing escalated conversations to a ticketing system with the full transcript attached.
Can Actionist keep the Chatling knowledge base in sync automatically?
Yes — this is one of the strongest use cases. You can set up a scheduled agent task that runs weekly to resync all URL sources in the knowledge base, ensuring the chatbot reflects the latest version of every page it's trained on. You can also trigger knowledge base updates as part of a content publication workflow: when a help article is published in your CMS, the agent adds its URL to Chatling within about a minute. For content removals — deprecated product pages, superseded policy documents — the agent can detect the change upstream and delete the corresponding knowledge base source before customers see an outdated answer.
How does Actionist handle chatbot-captured leads?
When Chatling captures a lead — a visitor who provides their name and email through the chatbot — Actionist can pick that up as a scheduled agent task (polling the contacts list) and route the new contact into your CRM. The agent reads the contact's conversation thread to extract intent signals before creating the CRM record, so the lead arrives with context about what the visitor asked and what the chatbot told them. For high-intent signals — pricing questions, demo requests, specific product inquiries — the agent can also create a deal in the pipeline and notify the assigned sales rep in Slack.
Can Actionist route escalated Chatling conversations to a ticketing system?
Yes. The most common pattern is: when a conversation is marked for human handoff in Chatling, a scheduled agent task (polling conversation status within about a minute) fetches the full message thread and the contact's details, then creates a ticket in Zendesk, Freshdesk, or any connected support platform with the transcript attached. The agent posts an alert to the support team's Slack channel simultaneously, so no escalation waits in a queue unnoticed. The customer never has to re-explain the issue — the human agent opens the ticket with full context already there.
Does Actionist support multi-chatbot setups in Chatling?
Yes. The List Chatbots action returns all chatbots in your account, each with a unique ID. Every subsequent action — listing conversations, managing knowledge bases, updating settings — accepts a chatbot ID, so your agent can operate across multiple bots independently. A common setup is a separate chatbot per product area or language, with a single Actionist agent that monitors all of them for unresolved conversations, routes leads to the right CRM pipeline based on which bot captured them, and keeps each bot's knowledge base in sync with the corresponding section of your content library.
What are the data privacy considerations when connecting Actionist to Chatling?
Your Chatling API key gives Actionist read and write access to all data in your account — conversations, contacts, and knowledge base sources. For GDPR compliance, the Delete Contact and Delete Conversation actions allow agents to execute erasure requests: when a deletion request arrives, the agent can locate all conversations and contacts associated with the requester and delete them, logging each action to a compliance audit trail. Knowledge base sources can also be purged in bulk when they contain personal data. Chatling processes data per its own privacy policy; Actionist acts as a client of the Chatling API and does not store conversation content independently.
Can I use Actionist to generate a weekly chatbot performance report from Chatling?
Yes — this is a well-suited scheduled agent task. Set it to run every Monday morning: the agent calls List Conversations for each chatbot, filters for the past 7 days, counts total conversations, unresolved conversations, and escalations, and calculates resolution rate. It writes the figures to a Google Sheets dashboard, appends a summary row to a Notion performance log, and posts a digest to a Slack channel. The support lead opens Monday with a complete picture of chatbot performance across all bots and channels, without anyone manually pulling data from the Chatling dashboard.