Turning Enterprise Data into Decisions.

A Connected Business. Information Across Multiple Systems.

Manufacturing businesses operate through interconnected processes. Production, procurement, finance, distribution, and customer operations all contribute to the larger business picture.

For Solance Industries, these activities extend across manufacturing operations and an established distribution ecosystem. The company manufactures batteries for automotive, two-wheeler, inverter, UPS, and other energy applications, with operations spanning multiple markets.

As the business expanded, its organizational structure created an increasingly distributed information environment. Individual depots and business entities maintained their own financial records and accounting environments. While these systems supported day-to-day operations, business information was spread across multiple sources.

For senior leadership, understanding the business often required gathering information from different teams.

Three Realities of a Distributed Enterprise

1. 01 /
   Multiple Business Entities

   Different depots and business units maintained their own financial information, creating multiple sources of business data.

2. 02 /
   Information Spread Across Systems

   Relevant financial and transactional records existed within different accounting environments rather than one conversational interface.

3. 03 /
   Leadership Depended on Departmental Responses

   When directors needed specific answers, they often relied on finance or accounting teams to retrieve the relevant information.

The Real Challenge

The issue was not that Solance lacked accounting software or business reports. The issue was that accessing a specific answer could still require several steps, multiple people, and additional time.

When Information Exists, Why Should Answers Take Time?

Consider a common leadership question:

What was the last purchase price of this raw material?

The information may already exist in the organization's accounting records. But obtaining the answer can involve contacting the accounts department, locating the relevant transaction, verifying the information, and communicating the result.

This process works, but it creates a dependency between the decision-maker and the person retrieving the information. For a busy leadership team, these small delays can become a recurring operational inconvenience.

Solance already had financial systems and reporting capabilities. What it needed was a more direct way for leadership to interact with the underlying business information.

The Opportunity

Imagine if a director could ask:

• What was the last purchase price of a particular material?
• How have purchase values changed over a selected period?
• What are the financial figures for a particular business entity?
• Which transactions relate to a specific supplier?
• What does the available data tell us about a particular business question?

Instead of navigating different systems or waiting for someone to prepare an answer, leadership could begin with a simple question.

Building an Intelligence Layer Across Business Systems.

Wisebric was introduced to connect Solance's distributed accounting information with a conversational AI experience for senior management.

The implementation brought together financial data from multiple Tally environments into a structured data foundation accessible through the Wisebric platform. Rather than replacing the existing accounting systems, Wisebric was designed to work with the information already maintained within them.

From Reporting Dependency to Leadership Intelligence.

The value of the implementation goes beyond answering an individual purchasing question. Wisebric provides Solance's management with a new way to interact with business information.

Instead of treating financial data as something that must always be retrieved through reports or departmental requests, leadership can engage with connected information through a conversational experience.

From Leadership Intelligence to Connected Enterprise Operations.

The Finance Assistant represents the beginning of a broader opportunity. Once business leaders experience how AI can make existing information more accessible, new possibilities become easier to identify.

For Solance, those opportunities extend beyond finance. The company is exploring how Wisebric can support additional functions across its manufacturing and distribution ecosystem.

Enterprise AI Becomes Valuable When It Answers Real Business Questions.

Enterprise AI adoption does not always begin with a large transformation program. Sometimes it begins with a familiar question.

For Solance Industries, Wisebric introduced a different experience. By connecting existing business information to a conversational AI assistant, the company gave leadership a more direct way to access answers.

The implementation illustrates a practical principle for enterprise AI adoption:

The greatest opportunity is not always creating more information. Sometimes it is making existing information easier to use.

For manufacturing organizations with distributed systems, multiple business entities, and information-intensive operations, that shift can create meaningful opportunities. Solance's journey shows how one implemented use case can establish the foundation for a broader enterprise AI vision.