Information technology / Technology consulting
Birlasoft: Extracting contractual obligations and tracking fulfillment during project delivery
- Company
- Birlasoft
- Country
- India
- Adoption stage
- In operation
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Read the full source text
The work problem
In the Birlasoft handover process described by Microsoft, delivery managers received contracts prepared by legal, finance, taxation and sales teams, read them and checked their meaning with stakeholders. Obligations were scattered across master agreements, statements of work, schedules and service commitments. Sequential manual reading risked missing connections between distant clauses or overlooking a commitment.
Technology and data
Birlasoft built Contract.ai to extract obligations and link them to their original sources. Azure Data Factory ingests documents, Data Lake stores them and Databricks supports analytics and reporting. A planning agent coordinates specialist agents responsible for extraction, output validation and inconsistency flags. Staff track obligations that are due, overdue or complete. Human oversight remains because the obligations have legal and financial implications.
Results
Microsoft's customer story says Contract.ai processes more than 1,000 statements of work annually, identifies an average of more than 10 obligations per project and delivers realized annual savings of approximately 4,000 person-hours. A Birlasoft programme manager said teams can focus on delivery rather than contract interpretation, with real-time visibility improving risk management and fulfillment of customer commitments.
Limits and open questions
The source does not disclose extraction accuracy, the omission rate or the comparison conditions used to calculate time savings.
Sources
Compiled from public sources. These are not results from ATF Works customers.