YOUR AGENT. YOUR SYSTEMS. ONE CONVERSATION.

Conversational AI

It understands the conversation.
Then gets the work done.

Your customers can ask naturally. Assisto’s own multilingual language model keeps the context, responds in your service style, and calls the tools needed to resolve the request—even while the conversation continues.

Discuss your use case

CONVERSATIONAL AI01 / 03

Understand an order question and a delivery request.

Our own multilingual LLMParallel conversation & tool executionCRM and API integrations

CONVERSATIONAL AI / OVERVIEW

Configure the service, not every possible conversation.

Describe how your agent should respond in natural language. Add your FAQs, policies, and tool definitions. Assisto brings the conversational behaviour: a model tuned around the way customer agents actually communicate, with context that carries across turns and languages.

What the engine
can do.

Capabilities that connect the model to the job you need it to perform.

An agent that sounds like your team

Set the tone, role, response instructions, and FAQs in natural language. The model follows the conversation rather than forcing customers through a rigid decision tree. Refine the instructions around the questions your customers actually ask.

Tools become part of the conversation

Provide authentication, the tool interface, and the details needed to call it. The agent can retrieve customer records, look up orders, update CRM fields, and call business APIs. Integrations are configured for each system rather than limited to a fixed catalogue of names.

Talking and doing, in parallel

The agent can keep a customer informed while tools execute. An order lookup and an eligible service check can run alongside the dialogue, with their results feeding back into the same conversational context.

Context across languages

A multilingual conversation is more than an isolated translated question. Assisto keeps track of the request, the customer’s earlier information, and the pending action as the interaction progresses.

BUILT AROUND THE WORK

Where conversational ai fits.

USE CASE / 01

Customer service

Look up a customer’s order, answer a policy question, and update a service request in the same conversation.

USE CASE / 02

Sales assistance

Answer product questions, retrieve availability, and capture qualified information in the CRM.

USE CASE / 03

Account operations

Fetch account context and prepare permitted changes without asking the customer to repeat information.

Read the solution case study

FROM CONFIGURATION TO USE

Make it work
for your business.

The deployment starts with your sources, your users, and the task the system needs to complete.

01Define the agent’s role, tone, FAQs, and response instructions.
02Connect the required tools with authentication and input/output definitions.
03Test customer journeys, concurrent calls, and the actions the agent may perform.
04Launch the agent and refine behaviour using reviewed conversations.

A CLOSER LOOK

Common questions.

Do we need to script every conversation?

No. Start with natural-language instructions and your FAQs. Configure tools for the actions and information sources the agent should use.

Can it work with our own APIs?

Yes. Supply authentication and tool-call details for the integration. The setup defines the available operations, required inputs, and expected responses.

Does the customer have to wait silently for a tool?

The engine supports conversation and tool execution in parallel, so it can continue the dialogue as information is fetched or an action is completed.

Can the same agent become a voicebot?

Yes. Connect Assisto’s ASR, AST, and TTS components to this conversational engine to add multilingual spoken interaction.

YOUR NEXT CHAPTER

Let’s build something useful.

Bring your business challenge. We’ll bring AI, data, and a practical way forward.

Let’s talk