Professional services AI chatbot case study

Industry context and the customer journey

Firms need to respond quickly while making sure enquiries reach the appropriate practice area without promising advice before a professional review.

The chatbot solution

The assistant explains approved service descriptions, asks high-level intake questions, and collects a consultation request. It routes matters by service type, urgency and location while avoiding substantive legal, financial or professional advice.

The assistant should provide a clear path to a person, capture consent-aware contact details, and distinguish approved information from questions that need staff review.

Demonstration workflow

The following is a fictional sample conversation flow, included to demonstrate the proposed experience.

1. 1

   A visitor asks which service area may be relevant.

2. 2

   The assistant explains the firm’s published services and asks a high-level, non-sensitive question.

3. 3

   It records preferred consultation time and contact details.

4. 4

   The appropriate team reviews the request and follows up.

Implementation, integrations and safeguards

Intake design should minimise sensitive data, include conflict-check or consent steps where needed, and avoid creating expectations of a professional relationship.

Before launch, define knowledge owners, fallback answers, human escalation targets, retention rules and test cases. Never expose confidential or sensitive data through analytics or an unapproved integration.

Potential business benefits

Potential benefits include better routing and more complete consultation enquiries.

Frequently asked questions