Build an AI Agent That Knows Your Business — and Knows What to Do.

AI Call Control gives you the tools to build AI agents around the way your business actually operates.

• Give your agent a job.
• Give it knowledge.
• Define your procedures.
• Connect your tools.
• Control what happens to the conversation.

Then put it to work across inbound and outbound conversations.

Your Business. Your Rules. Your AI Agent.

More Than an AI Voice.

A natural-sounding conversation is important.

But the voice isn't the intelligence.

A useful business agent needs to understand its job, know your business, follow your procedures, access the right tools, and understand what should happen next.

AI Call Control brings those pieces together in one platform.

One Agent. Five Questions.

• Who Is My Agent?
• Agent Builder
• Start by defining the agent's job.
• Build an AI receptionist.
• A sales agent.
• A fronter.
• A qualification agent.
• An intake agent.
• A follow-up agent.
• An after-hours agent.

Or an agent built around a workflow specific to your business.

Define its role, instructions, voice, greeting, phone number, and overall purpose.

AI Call Control guides you through the process instead of requiring you to become a prompt engineer.

Give your agent a job.

What Does My Agent Know?

Knowledge Base

Your AI needs more than instructions.

It needs information.

Give your agent access to the business knowledge it needs to have useful conversations.

• Products.
• Services.
• Pricing.
• Subscription plans.
• Policies.
• Frequently asked questions.
• Company information.
• Processes.
• Other information relevant to the job.

Knowledge is kept separate from the agent's core instructions, making it easier to update what your agent knows without rebuilding who your agent is.

Give your agent something to know.

How Should My Agent Behave?

Business Procedures

Your business already has ways it handles situations.

• Teach them to your AI.
• Define qualification criteria.
• Define what questions should be asked.
• Define how sales conversations should progress.
• Define how common objections should be handled.
• Define when information should be collected.

Define what the agent should and shouldn't do.

• Define when a situation should be escalated.
• Define what should happen next.

The conversation doesn't have to follow a rigid script.

Your procedures provide the rules and guardrails your AI uses while having a natural conversation.

Tell your agent how your business operates.

What Can My Agent Do?

Tools & MCP

Talking is useful.

Taking action is better.

Give your AI access to the tools required for its job.

Depending on the systems and permissions you connect, that can include capabilities such as:

• CRM workflows.
• Lead and customer information.
• Scheduling.
• SMS.
• Email.
• Business systems.
• External tools through Model Context Protocol.

An agent can use information from the conversation to determine when an available tool should be used according to the workflow you define.

Give your agent the ability to act.

What Happens to the Conversation?

Call Handling & Handoff

Not every conversation should end the same way.

• Some can be handled entirely by AI.
• Some should move to another step.
• Some should result in follow-up.
• And some should reach a person.
• Define qualification and routing logic.
• Define transfer conditions.
• Define destinations.
• Define when AI should continue.
• Define when a human should take over.

Define what happens when the intended destination isn't available.

AI when it makes sense. Human when it matters.

Inbound and Outbound on the Same Platform.

AI Call Control isn't limited to waiting for the phone to ring.

Build agents for conversations coming into your business.

Or build agents that initiate conversations with opted-in leads and customers.

• Inbound
• Answer calls.
• Handle callbacks.
• Qualify leads.
• Answer questions.
• Collect information.
• Handle intake.
• Route callers.
• Handle overflow.
• Transfer conversations.
• Outbound
• Work opted-in leads.
• Follow up with prospects.
• Reactivate existing opportunities.
• Continue previous conversations.
• Qualify interest.
• Answer product and pricing questions.
• Handle defined objections.
• Advance the sales process.
• Follow the workflow you establish.

Different direction. Same intelligence.

From Conversation to Action.

The conversation can be the beginning of a workflow instead of the end of one.

• A prospect calls.
• Your AI understands what they want.

It uses your knowledge to answer their questions.

It follows your procedures to qualify them.

It uses an available tool when action is needed.

It updates the workflow.

It determines whether to continue, follow up, or bring in a person.

Or your AI starts the conversation itself and follows the same process.

• Conversation becomes context.
• Context drives decisions.
• Decisions lead to action.

Build Around the Job. Not the Technology.

You shouldn't need to think about models, tokens, orchestration, or the infrastructure required to make conversational AI work.

Start with a simpler question:

What do you want your AI agent to do?

• Then build around that job.
• Who should it be?
• What should it know?
• How should it behave?
• What should it be allowed to do?
• When should a person get involved?

AI Call Control gives you a platform for defining those answers.

Your Business Changes. Your Agent Can Change With It.

• Change your pricing.
• Update your products.
• Add knowledge.
• Adjust qualification criteria.
• Change a procedure.
• Refine objection handling.
• Connect another tool.
• Modify a workflow.
• Change where calls are transferred.

Your AI agent doesn't have to remain frozen at the moment it was created.

Build it around your business and evolve it as your business evolves.

See the Platform at Work.

The easiest way to understand AI Call Control is to experience an agent doing its job.

• Call us.
• Ask about the product.
• Ask about pricing.
• Change the subject.