AI Actions

Context-Aware Automation with
AI Actions

AI Actions for customer service let support teams execute real tasks through secure API calls directly from tickets and chats. Using context-aware automation, teams can update records, trigger workflows, and apply approvals with full audit logs, reducing back-and-forth while maintaining operational control.

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Trusted by companies of all sizes

Why AI Actions Matter for Modern Support

Faster Resolution with Fewer Loops

Execute verified actions in a single reply to reduce back-and-forth while keeping agents accountable for outcomes.

No More Tool Switching

Run AI Actions across connected systems so updates happen through secure API calls without switching tools or breaking context.

Built-In Safety and Oversight

Approvals, permissions, and audit logs keep every AI Action controlled and traceable, ensuring secure API execution and compliance.

AI Handles the Basics, Humans Handle the Breakthroughs

Replace rigid automation with context‑aware AI Actions that understand intent and execute verified tasks.
Instead of only routing or suggesting, AI Actions can handle routine requests autonomously, from canceling orders and updating details to fetching data and triggering workflows.
When approvals or judgment are required, human agents step in seamlessly to maintain full control and a smooth customer experience.

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How I work

How to Configure and Deploy AI Actions

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Step 1: Configure the action

Start by defining what the action should do, such as updating order details, processing refunds, or verifying licenses.
Give it a clear name, specify required inputs like order ID or SKU, and define the expected outcome.

Step 2 : Link Your API

Connect your HTTP or REST endpoints and map required fields including path, query, headers, and body.
Add authentication using API keys, OAuth, or JWT, and apply any payload transformations needed for secure execution.

Step 3 : Apply Guardrails

Set permissions, approval rules, and validation checks to control when and how the AI Action can run.
This ensures sensitive actions follow internal policies before execution.

Step 4 : Activate and Deploy

Once ready, activate the AI Action.
AI Copilot and AI Agent can then execute it during chats or tickets, showing previews, approvals, and audit logs while confirming outcomes to customers.

Smarter Automation Starts With Context

Context-Aware Automation for Accurate Actions

Traditional automation often breaks in live support conversations. BoldDesk AI Actions use context-aware intelligence to understand intent and execute the right action at the right time, reducing errors while maintaining control and consistency.

Key Advantages of Context-Aware Automation

Understands Conversations: AI reads the full ticket or chat context before executing actions, ensuring accurate intent matching.
Executes Relevant Actions: From refunds to data updates, AI Actions execute verified actions that follow the natural conversation flow.
Delivers Accurate Results: Context-aware execution reduces errors and ensures actions remain precise, compliant, and auditable.
Builds Trust with Guardrails: Permissions, approvals, and audit logs ensure every AI Action runs safely and remains fully traceable.

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Real-World AI Actions Use Cases for Customer Support

Cancel or Partially Refund an Order

"I need to cancel my order or at least get a partial refund"

Illustration of an AI actions next to text describing automated order validation, refund calculation, inventory update, and billing API processing.

Validates order status, calculates the pro‑rated refund, and updates inventory for restocking.
Executes the refund through your billing API with approvals and audit logs, then confirms the outcome in the conversation.

Fetch Real-Time Data

“What’s the delivery ETA for my order?”

Illustration of an AI actions next to text about automating shipping API calls and providing instant tracking updates.

Calls your shipping or logistics API to retrieve the latest tracking details.
Returns real‑time status updates instantly, removing manual lookups and delays.

Banking and Fintech: Update Mailing Address with KYC Validation

“I need to update my mailing address on file.”

Illustration of an AI actions next to text about validating KYC details, updating address in CRM, and logging an audit trail for compliance.

Verifies customer identity using KYC validation before applying any changes.
Securely updates the address in your CRM and records a complete audit trail for compliance.

SaaS Licensing: Check License
Status

“Can you tell me when my Pro subscription expires?”

Illustration of an AI actions next to text about connecting to a licensing service, retrieving subscription details, and updating ticket status.

Connects to your licensing service to fetch current subscription details.
Updates the ticket context and clearly shares next steps with the customer.

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Frequently Asked Questions

Do AI Actions require developers?

Not to start. Define inputs and map parameters to your endpoints; you can go live quickly. Our team helps with authentication and payload transforms.

Can AI Actions run from Copilot and AI Agent?

Yes. AI Copilot and AI Agent both leverage the same AI Actions library, with permissions and approvals enforced.

How do you prevent risky changes?

Use guardrails such as role restrictions, amount thresholds, conditional approvals, and sandbox/testing before production.

What happens if an API call fails?

Agents see a safe error with context, retry options, and fallback guidance (for example, perform a related action or switch to manual).

Can non-technical teams maintain AI Actions?

Yes. The visual builder lets operations owners edit inputs, headers, and mappings. Developers are only needed for new endpoints or authentication schemes.

Which tools offer real‑time, context‑aware owner assistance?

BoldDesk offers real‑time, context‑aware assistance through AI Copilot and AI Agent.
AI Copilot supports agents during live tickets and chats by understanding conversation context and executing actions when approved.
AI Agent uses the same context to handle routine requests autonomously, while keeping agents in control of sensitive decisions

Is customer data secure?

Yes. Encrypted transport, scoped credentials, least-privilege access, and full audit logs on every run.

Can I require approvals for sensitive actions (refunds, credits)?

Absolutely. Configure conditional approvals (for example, refund greater than $100 or out of policy) and choose reviewers.

Do you support rate limiting and retries?

Yes. Configure per-action throttles, retry logic, and circuit breakers to protect downstream systems.

Can AI Actions roll back?

If your API supports reversals, create a paired rollback AI Actions (revoke credit, revert status) and restrict it with guardrails.

How does context-aware automation work in AI Actions?

It uses Model Context Protocol (MCP) and API integration to provide AI with intent and session details before execution, so the right action runs accurately and safely.

Can automated AI Actions be reverted?

Yes. Automated AI Actions can be reverted when the connected API supports reversals.
Teams can configure paired rollback actions and require approvals before execution.
Every action is recorded with audit logs, allowing teams to review, validate, and safely reverse changes when needed.

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