AI assistant integrated with internal SharePoint

Client NamePLANEO Elektro

Client CountryCzech Republic

  • Client typeEnterprise
  • IndustryElectronics & Sensors
  • Application areasCustomer Support & Experience
  • AI technologiesConversational AI (chatbots, voicebots), Large Language Models (LLMs)
  • Business impactsEmployee Enablement & Productivity, Operational Efficiency & Cost Savings
  • Data typesDocuments / Semi-structured Data, Image Data, Structured Tabular Data, Textual Data
  • Delivery modelsCustom Development
  • DeploymentsCloud
  • Key capabilitiesAccessibility, Safety & Human Augmentation
  • Project stagesInitial Production Deployment
  • Solution formsConversational Interface, Standalone Application

Solution Description

Problem description

Store employees faced delays in accessing operational and complaint-related information. Customers had to wait too long for answers, slowing down store operations. An overloaded call center resulted in longer customer handling times. Training new employees was inefficient, as they struggled to find information in the company’s internal “Wikipedia.”

Solution

The complete AI assistant DIEGO, built on the GPT-4 language model and integrated with the client’s SharePoint system, provides instant support for handling complaints, working with internal systems, and managing operational processes. DIEGO understands queries in natural Czech immediately upon deployment. The AI assistant is available directly in stores—no need to call the customer center.

Main Users of the Solution

Employees

Project timeframe (months)

2

Additional services

  • AI strategy and roadmap
  • AI model selection and customisation

Implementation

Project Owner on the Client's Side

Head of functional/operational unit

Impact and Results

Qualitative Benefits

5x faster employee access to internal information. Ask the ChatGPT-powered service. -25% call center workload. +50% faster onboarding of new employees. +25% higher branch operational efficiency.

Client Feedback

“We are collaborating with BigHub on an intelligent search project, and from the very beginning we were impressed by their enthusiasm, expertise, and excellent customer-oriented approach. What we value most is their proactivity and agile mindset.” – Lukáš Daněk, Customer Support Manager, PLANEO Elektro.

Lessons Learned and Recommendations

Key Success Factors

Effective project management – clearly defined roles, responsibilities, and regular communication. Team collaboration – high engagement and open knowledge sharing among team members. Data quality and availability – enabled faster development and more reliable results. Flexibility and adaptability – ability to quickly respond to changes and new requirements.

Recommendation for Others

When planning an AI project, we recommend starting with a clearly defined business goal and a realistic estimate of benefits and risks.

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