AI-DRIVEN LXD. ADGIE FRAMEWORK
PROBLEM.
Sales advisors at language schools often struggle to conduct effective consultation calls. Common challenges:
— failing to uncover the customer's underlying needs;
— shifting to product presentation too early;
— overlooking the learner's true motivation;
— lacking confidence when handling objections;
—relying on the same sales script regardless of the customer profile.
As a result, fewer prospective learners book a trial lesson, conversion rates decline, and new sales advisors require longer onboarding and coaching.
Sales training is an investment that turns better conversations into revenue.
DEMO VERSION OF AI-POWERED FACILITATION TRAINING | ARTICULATE 360
A — Analysis
TARGET AUDIENCE. AI SUPPORT
This solution is designed for:
— entry-level sales advisors;
— junior learning consultants;
— admissions teams at language schools.
AI analyses conversations conducted by top-performing advisors to:
— identify successful consultation patterns;
— detect effective questioning techniques;
— recognise high-impact communication behaviours;
— generate realistic customer personas;
— recommend training priorities based on performance data.
D — Design
ROADMAP. Learning Journey
Competency Framework
The simulator develops the core competencies required for consultative sales.
Discovery
Identifying explicit and implicit customer needs.
Active Listening
Demonstrating genuine curiosity, responding thoughtfully, and building rapport through effective questioning.
Objection Handling
Exploring concerns before responding and addressing objections with confidence.
Consultative Selling
Guiding the customer towards the most appropriate solution rather than promoting a product.
Closing
Agreeing on a meaningful next step that aligns with the customer's goals.
G — Generation
AI dynamically generates
— customer personas;
— realistic consultation scenarios;
— objections;
— follow-up questions;
— emotional responses;
— alternative conversation paths;
— personalised coaching feedback.
This is where AI transforms the design process.
I — Individualization
Personalized Learning
The learning experience adapts continuously to each learner's performance.
If a sales advisor consistently jumps into presenting solutions too early, future scenarios place greater emphasis on needs discovery.
If objection handling is identified as a weakness, the simulator introduces increasingly challenging customer concerns.
If the learner demonstrates strong questioning skills, AI generates more complex customer personas with hidden motivations and less obvious communication cues.
As competence grows, conversations become progressively more sophisticated, requiring greater emotional intelligence, active listening, and strategic decision-making.
The result is a personalised learning journey that reflects each learner's strengths, development areas, and pace of improvement.
E — Evaluation
Coaching report
Full coaching report after each dialogue. Learners receive not just simple Correct / Incorrect feedback.
Each answer includes:
— why this isn't the best choice;
— potential impact;
— coaching tip.
Metrics
Business Challenge. What for.
60% increase in trial lesson bookings
15% increase in paid enrolment conversion
Reduced onboarding time for new Learning Consultants