One interface for all company knowledge

Benito operates with large volumes of operational and product information distributed across multiple internal systems: inventory databases, order management tools, product catalogs, policies, and contact directories. Employees frequently needed to switch between platforms or ask colleagues for information such as current stock levels, order status, product specifications, internal procedures and policies, and customer and supplier contacts. This created delays, interruptions, and inconsistent answers. To solve this, Benito partnered with us to build an AI-powered internal chatbot directly connected to the company’s core systems, centralizing real-time knowledge into a single conversational interface. The result: a unified AI assistant that delivers accurate, up-to-date answers in seconds.

• 100+ daily active employees using

• 5,000+ queries / month

• 1 unified knowledge hub

Key Results

• Up to 71% reduction in time spent searching for information

• Instant access to stock levels, order status, and product data

• One conversational interface connected to internal systems

• Faster and more confident decision-making across teams

• AI-powered competitor product comparison and recommendations

The Challenge: Knowledge Fragmented Across Systems

Before the AI assistant, teams faced several issues:

• Information spread across multiple tools and databases

• Time lost searching for answers or asking colleagues

• Inconsistent responses depending on who was asked

• Difficulty accessing competitor product comparisons

• Slower customer response times from sales and support teams

As the company scaled, these inefficiencies multiplied across departments.

The Solution: One AI Assistant for the Entire Organization

The deployed AI assistant acts as a single access point to Benito’s operational knowledge.

1. Real-Time System Integration

The chatbot connects directly to:

• Inventory and stock systems

• Order management platforms

• Product catalogs

• Internal policy documentation

• Contact and supplier databases

Employees can ask questions such as:

• “How many units of product X are in stock?”

• “What is the status of order 15432?”

• “Who is the contact for supplier Y?”

• “What is our return policy for this product?”

and receive immediate, reliable answers.

2. Natural Language Search Across Company Knowledge

Instead of navigating dashboards or folders, teams simply ask questions in natural language:

• “Do we have this bench available in Barcelona warehouse?”

• “What’s the delivery time for model Z?”

• “Which product matches this competitor reference?”

The AI understands intent and retrieves structured data instantly.

3. Competitor Product Analysis & Recommendation

One of the most valuable capabilities is competitive intelligence:

• The chatbot can analyze a competitor’s product reference

• Compare specifications and features

• Recommend the closest equivalent from Benito’s own catalog

This enables sales teams to respond faster and more confidently to customer inquiries.

4. Centralized Knowledge in One Interface

All teams now rely on a single conversational UI to access:

• Operational data

• Product knowledge

• Policies and procedures

• Competitive comparisons

This eliminates siloed information and reduces dependency on internal experts.

Results

After deployment, Benito achieved:

• Up to 71% reduction in time spent searching for information

• Faster response times for sales and operations teams

• Improved consistency and accuracy of answers

• Higher team autonomy and confidence

• Better customer experience through quicker resolutions

What once required navigating multiple systems or interrupting colleagues is now handled through one AI-powered interface.

Why It Matters

In organizations with complex catalogs and operations, delays in accessing information can lead to:

• Slower customer responses

• Missed sales opportunities

• Operational mistakes

• Frustrated teams

By centralizing real-time knowledge, Benito created a system that:

• Scales with company growth

• Reduces cognitive load on employees

• Improves decision quality

• Strengthens collaboration across departments

Next Phase

The next phase of the project focuses on:

• Expanding integrations to additional internal systems

• Moving toward a fully intelligent enterprise assistant

The long-term vision: one AI assistant for every team decision.

“Instead of searching across multiple systems, our teams now ask one question and get an instant, reliable answer.”, Operations & Sales Teams, Benito