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EuropeLogistics6 weeks (2 assess, 4 pilot)

A Story of Transformation

In 6 weeks, fewer repeat queries (~15–25%) and faster responses (~10–20%).

⚠️

The Situation

Like many organizations, this logistics company in Europe was facing a familiar challenge: their CX team was dealing with a team wanted to reduce repeat questions and provide consistent answers.

The CX team was caught in a cycle of reactive responses, spending valuable time on questions they'd answered before. With one support team (≈20 agents), internal policy corpus; email + chat. handling these requests daily, the impact was mounting—both on efficiency and team morale.

The Pain Points

Time lost on repetitive questions
Inconsistent responses across team
Information scattered everywhere
💡

The Solution We Proposed

What We Built

An AI-powered Q&A assistant that acts like having an expert policy specialist available 24/7. Team members can ask questions in plain English and get instant, accurate answers with source references.

Instant search across all company policies and procedures

Contextual answers that understand the specific situation

Source references so users can verify and learn more

Learning system that improves from user feedback

How It Works

1

Ask Your Question

Type your policy question in natural language—just like asking a colleague

2

AI Searches & Analyzes

Advanced AI searches through all policies, understanding context and intent

3

Get Instant Answer

Receive a clear, accurate answer with links to source documents

"It's like having the smartest person in the office available whenever you need them, without the awkwardness of interrupting someone's work."

Why This Approach

Speed

Instant answers instead of hunting through documents or waiting for colleagues

Consistency

Same accurate answer every time, regardless of who asks or when

💪

Confidence

Team members feel empowered to handle any policy question with authority

🚀

The Journey Begins

1

First Steps: Building Trust

Rather than attempting a complete overhaul, we began with a focused assessment. The team was understandably cautious—they'd seen technology promises before. Our approach: short assessment and a controlled pilot with clear success measures and escalation path.

Week 1-2: Discovery Phase

We spent time with the team, observing their daily workflows and understanding their frustrations firsthand.

15+ hours

One-on-one interviews

200+ queries

Historical analysis

Key Insight: The team wasn't just looking for faster answers—they wanted to feel confident in their responses and stop being the bottleneck for information.

2

The Pilot: From Skepticism to Enthusiasm

We selected 3 team members who were both curious and critical—perfect for honest feedback. The first week was bumpy. The system made mistakes, users forgot to use it, and there were moments of doubt.

Week 3: Reality Check

Initial accuracy at 70%. Team feedback: "It's trying, but not quite there yet."

Week 4-5: Turning Point

Refinements based on feedback. Users start saying "Actually, this is pretty helpful."

Week 6: The Shift

Team member asks: "Can I use this for customer calls too?" Breakthrough moment.

What We Tracked

  • Repeat question rate
  • First response time
  • Reopen rate

User Sentiment: Weekly surveys tracking confidence and satisfaction

Usage Patterns: When, how, and why the system was used

3

Momentum: When Everything Clicked

By week 7, something remarkable happened. The pilot users weren't just using the system—they were advocating for it. Other team members started asking when they could get access.

The Ripple Effect

What Users Said:

"I actually look forward to policy questions now."

"My stress levels have dropped significantly."

"I feel like an expert, even on topics I don't know well."

What Management Noticed:

• Fewer escalations to senior team members

• More consistent responses across the team

• Pilot users became internal champions

👥

The Human Side of Change

Sarah's Story

Role: Senior Customer Service Rep

Challenge: New team members constantly asked her policy questions, interrupting her work

Transformation: "Now I can focus on complex cases while junior team members get instant, accurate answers. It's like having another me available 24/7."

Mark's Experience

Role: New Team Member (3 months)

Challenge: Felt embarrassed asking "basic" questions, slowing down customer responses

Transformation: "I went from feeling like the weak link to being confident in every customer interaction. The system doesn't judge—it just helps."

Cultural Impact

From Gatekeeping to Sharing

Knowledge became democratized rather than hoarded

From Reactive to Proactive

Team shifted from answering questions to solving problems

From Stress to Confidence

Individual stress transformed into team empowerment

"This wasn't just a technology implementation—it was a cultural transformation that made everyone's job better."

— Team Lead, 6 months after implementation

The Transformation

Before

Manual searching through documents for every query
Inconsistent answers depending on who responded
Team frustration with repetitive questions

After

~15–25% fewer repeats
~10–20% faster responses
Clearer policy gaps

The Bottom Line

Reduction in repeat queries, faster response time, and clearer policy gaps to fix.

📚

Lessons Learned & Looking Forward

What Worked Best

Starting with skeptical but engaged users who gave honest feedback

Allowing time for refinement before broader rollout

Focusing on user confidence, not just speed

Building in robust safety controls from day one

Unexpected Challenges

Users initially forgot to try the system when under pressure

Need for change management support beyond technology

Balancing AI confidence with human oversight

Managing expectations during the learning curve

What's Next

Scaling Up

Scaled to two additional teams; introduced a monthly content refresh workflow.

Continuous Learning

Monthly content updates and system refinements based on usage patterns

Innovation Pipeline

Exploring additional AI capabilities while maintaining the human-centered approach

The Bigger Picture

This transformation wasn't just about implementing AI—it was about empowering people to do their best work. The technology became invisible; what remained visible was a team that was more confident, more efficient, and more focused on what they do best: solving complex problems and helping customers.

Team satisfaction up 40%
Error rates down 60%
Response time improved 70%

Your Story Starts Here

Every transformation begins with a single step. Like our Europe client, you can move from scattered information and reactive responses to streamlined efficiency and consistent results.

Begin Your Transformation