Case Study
A global professional services company providing tax, audit, assurance, and advisory services to Fortune 2000 clients wanted to automate the process of creating proposals for tax audits.
Infosys implemented an artificial intelligence (AI) / machine learning (ML) solution to extract information from past proposals for use in future bids across clients and industries. Our solution enhanced automation and standardization while minimizing human intervention in the bidding process.
Key Challenges
Creating proposals for tax audit accounts for significant time and effort of experienced professionals.
Clients have fixed duration tax audit assignments, following which a bidding process is undertaken for another tax audit duration.
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Automation replaced professionals for mundane and repetitive activities during the process of creating proposals
Infosys capitalized on AI and ML to undertake deep data analytics for documenting past effort in similar tax audit assignments across clients and industries.
Our solution extracted information from proposals to standardize portions of a presentation across clients, industries, countries, and lines of service. It rationalized effort to submit a proposal for an assignment.
Our solution, built on the Microsoft Azure Cognitive platform, is customized for multiple industries where tax audit services are required.
Artificial intelligence and machine learning transform the proposal / (re)bid process of tax audit
Alerts potential effort overruns to avoid loss
Highlights inconsistencies to the engagement / pursuit team during the bidding process
Benefits
Our AI / ML solution automated the tax audit process:
Optimized talent allocation for tax audit assignments for faster execution of audit work
Automated data crunching and analysis for bid submission while freeing up professionals for higher value tasks
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