Case Studies

1. 24/7 Automated Responses for E-commerce

E-commerce

An AI assistant handles up to 80% of questions about delivery, returns, and order status, reducing agent workloads during peak periods.

Up to 80% automated

Context

Agents spend hours answering questions about order status, delivery, and returns. On peak days, the workload multiplies and response times increase.

What We Built

We implemented an AI-powered module that automatically answers common customer questions using order data and support workflows.

How It Works

A customer asks a question, and the system provides a source-linked answer or clearly states when the available data is insufficient.

Result

Up to 80% of requests are resolved automatically, reducing agent workloads and improving service speed.

2. Support for Banking Customers

Banking

An AI assistant helps agents find answers across pricing, policies, and product documents, accelerating service and reducing wait times.

Answers 5–10× faster

Context

Agents spend significant time searching pricing information and product policies, which increases customer wait times.

What We Built

The AI assistant indexes pricing, instructions, and product documents to provide agents with relevant answers instantly.

How It Works

A customer asks a question, and the system provides a source-linked answer or clearly states when the available data is insufficient.

Result

Answers are found 5–10 times faster, wait times are shorter, and agent workloads are reduced.

3. Customer Service for a Logistics Company

Logistics

An AI assistant answers questions about shipment status, delivery times, and route details, reducing agent workloads during demand spikes.

Up to 85% self-service

Context

Customers repeatedly asked about shipment status and delivery times, while agents struggled to handle sudden spikes in demand.

What We Built

We implemented an AI module that automatically answers from tracking, route, and service-level agreement data, leaving only complex requests to agents.

How It Works

A customer asks a question, and the system provides a source-linked answer or clearly states when the available data is insufficient.

Result

Up to 85% of requests are handled through self-service, reducing agent workloads while improving service speed and quality.

4. Contract Legal Assistant

Energy

The assistant extracts relevant clauses from contracts, addenda, and regulator correspondence, provides source-linked excerpts, and checks compliance.

Contracts prepared 55% faster40% fewer discrepancies

Context

Legal teams spend hours finding clauses and comparing contract versions. Manual reviews and outdated documents introduce errors.

What We Built

We built an AI module that analyzes contracts, automatically finds key clauses, masks personal data, and checks document versions for currency.

How It Works

A user asks a question, and the system finds the relevant clauses and displays source-linked excerpts.

Result

Reviews are faster, the risk of errors and discrepancies is reduced by 40%, and data-security requirements are fully met.

5. Proposals and Specifications from Disparate Data

Manufacturing

The system builds sales proposals from enterprise resource planning (ERP) data and price lists, verifying every figure and term against its source.

Proposals prepared 70% fasterApproval: 2 days → 5 hours

Context

Twenty-five presales managers assemble proposals manually. Prices and specifications are scattered across systems, leading to errors in pricing and delivery times.

What We Built

The AI module combines ERP data with the proposal archive, fills in values automatically, and verifies currencies, timelines, and terms.

How It Works

A manager selects a stock-keeping unit (SKU), and the system assembles the proposal while highlighting the source of every figure and clause.

Result

Proposals are prepared 70% faster, approval time is reduced from two days to five hours, and fewer errors require correction.

6. Natural-Language Business Intelligence Assistant

Retail

The assistant answers questions about business intelligence metrics and reports, linking to metric dictionaries and dashboards.

Answers 30× faster20% fewer BI team requestsOne metric dictionary

Context

Executives repeatedly ask the BI team where to find specific metrics and how they are calculated.

What We Built

We index metric dictionaries, policies, and frequently asked questions, then provide direct dashboard links and clear definitions.

How It Works

When asked, “Why did conversion fall?”, the assistant opens the relevant report and explains the metric.

Result

Executives receive answers 30 times faster, the BI team's workload falls by 20%, and inconsistent definitions are eliminated.

7. Documentation and Release-Notes Copilot

B2B Software as a Service (SaaS)

The copilot drafts content and automatically inserts accurate source links from the knowledge base and tickets.

Drafts prepared 40% faster30% fewer editorial changes

Context

The team spends hours adding links manually, revising content, and checking whether documents are current.

What We Built

The AI copilot uses documentation and ticket data, inserts verified excerpts, and checks source versions.

How It Works

As the author writes, the system automatically inserts citations and source links.

Result

Drafting time falls by 40% and editorial changes by 30%, while documents remain at least 95% accurate and current.

8. First-Line (L1) Support Automation

Telecommunications

The assistant answers questions about plans, delivery, and services, escalating only complex requests.

Up to 70% automated responses5× faster responsesHigher customer satisfaction

Context

The service receives 600,000 requests a year, up to 50% of them repetitive. Its knowledge base is fragmented, and response times are long.

What We Built

The AI assistant searches knowledge bases, policies, and tickets, provides source-linked answers, and escalates only when the data is insufficient.

How It Works

A customer asks a question, and the system provides a source-linked answer or clearly states when the available data is insufficient.

Result

Up to 70% of requests are resolved automatically, responses are five times faster, and customer satisfaction (CSAT) continues to improve.

9. Enterprise Search Across Policies and Information Security

Banking

The system finds answers across Confluence, SharePoint, and Service Desk, with source links and access controls.

Answers 10× faster40% fewer escalations

Context

Keyword search produced no useful results, while subject-matter experts received dozens of escalations each day.

What We Built

We deployed hybrid machine-learning search with access controls, source-linked answers, and accuracy scoring.

How It Works

An employee enters a query, and the system finds relevant excerpts and displays links to their sources.

Result

Answers are delivered 10 times faster, escalations fall by 40%, and access and quality remain fully controlled.

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