AI agents that do more than answer.
Build AI agents that understand requests, use your business knowledge and tools, and take actions. They qualify leads, book appointments, update the CRM and run workflows. Not just chat. Real work.
Understand, reason, use tools, take action
An AI agent is not a search box. It follows a reasoning loop that turns a request into a real action inside your business - grounded in your knowledge and governed by your permissions.
Understand
The agent reads what the lead or customer is asking.
Reason
It works out what the person needs and what to do next.
Use knowledge
It checks your Knowledge Base for accurate, approved answers.
Use tools
It calls the right tools - calendar, CRM, APIs, MCP connectors.
Take action
It books, updates, replies or routes the conversation.
Update the CRM
It records what happened on the contact and pipeline.
Continue workflow
It triggers the next step in your automation.
Build a production agent from a single sentence.
Managed Agents is the AI-first builder. Describe the job in plain language and the platform generates the full configuration - triggers, Knowledge Base access, CRM actions and connected tools. No flowcharts. No nodes. Refine it in conversation, test, then publish.
Natural-language builder
Describe the job in plain words, get a configured agent
Knowledge Base grounding
Answers from your docs, FAQs, tables & crawled web content
Event-driven triggers
Tag changes, forms, chats, appointments, surveys & more
Test before publish
Built-in testing panel, then draft → test → publish
CRM actions & tools
Update contacts, move pipelines, trigger workflows
Guardrails & permissions
Scope what each agent can read, write or delete
I want an agent that qualifies inbound leads from my website form and books a discovery call.
Got it. I'll create a Lead Qualification Agent that asks budget, timeline and service, scores the lead, then offers calendar slots.
You do not need to build complicated AI from scratch
Start with a managed agent designed around a specific business responsibility. We configure it for you. The exact capabilities depend on your configuration, tools and permissions.
Lead Qualification Agent
Asks qualifying questions and scores every lead.
Appointment Booking Agent
Offers time slots and confirms bookings on your calendar.
Customer Support Agent
Answers FAQs from your knowledge base and hands over when needed.
Follow-Up Agent
Sends a planned sequence until the lead replies or books.
CRM Update Agent
Captures details from conversations and updates records.
FAQ Agent
Answers common questions instantly, at any hour.
No-Show Recovery Agent
Re-engages missed appointments and rebooks automatically.
Instagram Engagement Agent
Handles DMs and comment replies from social leads.
Trigger
Form Submitted
LLM Node
Qualify Lead
If qualified
Book Appointment
If not
Nurture Sequence
Full control over every node & decision.
Agent Studio is the visual, node-based environment for maintaining and optimising flow-based agents. Edit LLM, API, MCP and Knowledge Base nodes on a drag-and-drop canvas, branch logic, test in staging, then promote to production with version control.
Visual node canvas
Drag-and-drop LLM, API, MCP & Knowledge Base nodes
Conditional routing
Branch logic, variables & decision paths
APIs & MCP tools
Connect external systems & connectors
Web search node
Let agents fetch live information at runtime
Version control
Draft → Staging → Production lifecycle
Test & trace
Test tab + execution logs for every run
One action that replaces ten steps.
Drop the AI Agent action into any workflow. Write instructions, pick a model, add tools, and the agent decides what to do, which tools to call and what to pass downstream - autonomously. It retries and self-corrects when something fails.
Instructions
Plain-language rules - the most important config
Model + effort level
GPT-6 Sol for reasoning, Luna for speed; Low/Med/High
Up to 10 tools
100+ tools: email, SMS, tasks, booking, CRM updates
Conversation memory
Rolling summary across repeated runs per contact
Execution logs
Trace model calls, tool runs, inputs & token usage
Any trigger
Works with every workflow trigger in the platform
"Qualify the lead, send a personalised SMS, create a follow-up task, and generate a booking link."
Model
GPT-6 Sol · High effort
→ model.call() ✓ 1.2s
→ tool: send_sms ✓
→ tool: create_task ✓
→ tool: booking_link ✓
↳ 842 tokens · 4 tools · done
One skill set powers every agent.
The same governed skills power Voice AI, Conversation AI, Agent Studio and Managed Agents - so capabilities stay consistent across every channel, with precise control over what each agent can do.
Look up contact
Retrieve & read contact records
Book appointment
Check calendar & confirm slots
Search knowledge base
Ground answers in approved content
Update opportunity
Move pipeline stages & tags
Call external API
Reach beyond the CRM via MCP
Trigger workflow
Start automations from agent decisions
Governance & safety
Role-based access
Operations scoped & audited per agent
Action-level permissions
Restrict deletes, sends or billing changes
Tenant isolation
Agents act only within your account
Comprehensive logging
Every action traced in CRM logs
What AI agents can do for your business
Lead Qualification
Problem: Leads come in at all hours and nobody asks the right questions consistently.
AI solution: An AI agent asks every lead the same qualifying questions, scores the answers and routes only ready leads to your team.
Outcome: Your sales team only spends time on leads that are ready to talk.
Appointment Booking
Problem: Back and forth messages to find a time wastes hours every week.
AI solution: AI reads your live calendar, offers available slots and confirms the booking automatically - then sends reminders.
Outcome: Appointments land in your calendar with no manual work.
Customer Support
Problem: Common questions fill up your inbox and slow down your team.
AI solution: AI answers FAQs from your knowledge base instantly and hands over to a human with full context when needed.
Outcome: Customers get fast answers and your team handles only what matters.
Lead Follow-Up
Problem: Leads go cold because nobody follows up after the first reply.
AI solution: AI sends a planned sequence of messages across channels until the lead replies or books a call.
Outcome: Fewer leads slip through the cracks and more move forward.
Missed Lead Recovery
Problem: Calls and messages after hours get no response until the next day.
AI solution: AI answers instantly at any hour, captures details and starts the conversation so no lead is left waiting.
Outcome: You stop losing leads simply because your team was offline.
CRM Automation
Problem: Leads sit in chats and sheets and never make it into the CRM.
AI solution: AI captures details from conversations and updates the CRM record, pipeline stage and notes automatically.
Outcome: Your pipeline stays current without manual data entry.
Common questions about AI agents
What is an AI agent in the platform?+
An AI agent is a configured assistant that can understand a request, use your business knowledge, call tools and take actions like updating the CRM or booking an appointment. It does more than answer questions. It helps move real work forward.
What is the difference between AI Employee and AI Agents?+
AI Employee is the broader AI capability set built into the platform - Conversation AI, Voice AI, Reviews AI, Content AI and Ask AI. AI Agents are specific configured assistants you build for a job, like qualifying leads or booking appointments. AI Employee provides the engine. AI Agents are how you put it to work.
What are Managed Agents?+
Managed Agents is the AI-first builder. You describe the job in plain language and the platform generates the full configuration - triggers, Knowledge Base access, CRM actions and connected tools. No flowcharts or nodes required. You refine it in conversation, test it, then publish.
What is Agent Studio?+
Agent Studio is the visual, node-based environment for maintaining and optimising flow-based agents. You edit LLM, API, MCP and Knowledge Base nodes on a drag-and-drop canvas, branch logic with conditions, test in staging, then promote to production with version control. New agents are now created in Managed Agents; Agent Studio remains for editing and maintaining existing flow-based agents.
What is the AI Agent workflow action?+
It is a single workflow action that can replace many manual steps. You write instructions, choose a model, add up to 10 tools, and the agent decides what to do, which tools to call and what to pass downstream. It works with any workflow trigger and includes execution logs for every run.
Can AI agents update my CRM?+
Yes. When configured with the right tools and permissions, an AI agent can update contact records, move pipeline stages, add tags and add notes. The exact actions depend on how the agent is set up and which skills are enabled.
Can AI help qualify leads?+
Yes. An AI agent can ask every lead the same qualifying questions, score the answers and pass only qualified leads to your team. This keeps your sales team focused on the right opportunities.
Can AI book appointments?+
Yes. AI can read your live calendar, offer available time slots, confirm the booking and send reminders. Appointments land directly in your calendar.
What is the Skills Platform?+
Skills Platform is the shared capability layer that powers Voice AI, Conversation AI, Agent Studio and Managed Agents with the same governed abilities. You configure capabilities once and reuse them across every agent type, with precise, action-level permissions and full logging.
Do I need technical knowledge to use AI agents?+
No. Managed Agents and templates make it simple to start - you describe the job in plain language. For advanced control, Agent Studio gives you a visual canvas. We also set up and configure everything for you if you prefer done-for-you service.
Can HighLevel Crafters set up AI agents for my business?+
Yes. We help with AI strategy, agent configuration, knowledge base setup, CRM integration, workflow automation, testing and ongoing support. You do not have to build it alone.
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