Deal contracts digitization for one of the leading financial advisory firm.
The client is the one of the largest independent financial advisory firms in US. It engages in investment banking, asset management, and other financial services primarily with institutional clients.
The customer implemented deals contract management platform and needed to ingest the platform with information and metadata from its existing contracts. Doing this whole activity would require its legal team to review each contract, identify the relevant information and metadata, and enter that data into the platform. They wanted to simplify the whole process.
Enable Intelligent accounting of deal contracts.
Eliminate human error & misses causing millions of dollar penalties to the firm.
Eliminate manual effort to rectify the errors.
Automate the manual audit process which needed several hours of lawyers & legal advisers.
Automate the manual effort to analyze the contract and reduce delay in response to regulatory requirements.
Unavailability of the information due to silo-ed approach.
No visibility to the contract terms, legal clauses, values, commitments.
Hard to understand the legal terms hence no visibility to impact in case of non-compliance.
Using a combination of Artificial Intelligence (AI) and Natural Language Processing techniques we designed and automated the contract digitization process.
This included the extraction of key terms and clauses from the client’s deal contracts.
We trained the machine to understand the client’s terms and provisions, and created a custom review workflow specifically designed for its deal contracts. We monitored the machine learning carefully to make sure that the outputs were of high quality and would deliver valuable insight from deal contract analysis in the future, including forensic accounting. The use of Robotic Process Automation (RPA) to import the extracted deal contract information from our AI solution to the contracts management platform meant that the legal team were freed up to focus on value-adding activities.
The client’s deal contract review speed increased 70-fold, at an eighth of its previous costs.
As well as these immediate efficiencies, the client’s contract performance analytics improved across all territories; the fully searchable database of terms bringing the opportunity for far greater insights and improved decision-making.
Smart accounting of deal contracts was made possible, with streamlined and automated workflow.
A global pharmaceutical company with suppliers and third parties around the world.
With regulators around the world taking greater interest in third-party risk management (TPRM), the company needed to improve the way it assessed its thousands of vendors. It needed to ensure they complied with relevant laws and regulations, and with its own corporate standards. But it lacked standard processes and couldn’t provide timely or accurate risk reports, nor keep up with the volumes of assessments that were needed.
PiChain defined and put into practice a scalable TPRM process for checking third parties against the company’s standards of excellence.
The company is now able to assess nearly 100% of its third parties over a certain level of spend, and at up to 40% faster.
Find a better way to manage third-party risk for a global enterprise for all the below items
Monitoring and support
Governance and continuous improvement
Operating models based on technology, process re- engineering, and advanced organisational structures— shared services, global business services, process outsourcing. This can help rms solve complex challenges. These operating models can deliver intelligent risk operations that routinely evaluate and respond to a company's ethical standards and practices — cost effectively and at scale. With our help, the pharmaceutical firm pursued this approach to fundamentally transform its TPRM strategy.