Conversational AI

From FAQ bot to process assistantThe building blocks of conversational AI 2.0.

The next generation of conversational AI combines three components: a language model for natural interaction, process orchestration for reliable actions, and validated knowledge for accurate answers.

Technology AnalysisDialog Group6 min read
A team examines how a digital assistant works on a screen

The essence

Why this topicdemands attention now.

None of these components are sufficient on their own. A language model without control is unpredictable. A process bot without language comprehension feels rigid. Knowledge without integration does not help the customer further in the process.

A good approach doesn't start with an isolated tool. First, it must be clear what problem the customer is experiencing, what outcome the organization wants to achieve, and which processes, data, and people are involved.

Important to know

Four points that helpmake better choices.

These points provide a concise overview of the content. Use them as a starting point for a discussion between business, IT, customer service, and compliance.

Language

Understand variations in questions and formulate clear answers.

Knowledge

Use current and approved information with clear source and owner.

Process

Execute fixed steps in systems and monitor which actions are permitted.

Handover

Engage an employee in case of uncertainty, emotion, or exceptions.

A team discusses how new knowledge can be applied in practice.
From insight to execution.The solution emerges when content, process, data, and ownership are designed together.

Practical approach

Start small and focused.Build on what demonstrably works.

You don't have to solve everything at once. These three steps make the topic discussable and actionable.

  1. Design the architecture

    Determine how model, knowledge, processes, data, and channels work together.

  2. Build guardrails

    Use permissions, limits, validation, logging, and tests.

  3. Monitor in use

    Measure solution effectiveness and speed, as well as errors, failures, and handovers.

What it can achieve

Not just knowledge.A better next step.

This combination gives customers a more natural conversation and the organization more control over what actually happens.

View Conversational AI

Next step

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