Weav.ai

Enterprise AI Copilots

weav.ai’s Enterprise AI Copilots enable the development of plug-and-play Gen AI applications.

Capabilities: Gen AI apps based on weav.ai’s AI copilots can:

Extract important data and insights from structured and unstructured documents, including contracts, invoices, financial statements, resumes, knowledge repositories, and emails.
Search and converse with these documents using natural language.
Summarize the contents of these documents using simple, easy-to-understand language.

Use Cases: Enterprises can use weav.ai‘s copilots to easily infuse Generative AI capabilities into different use-cases such as:

Ensure contract compliance against policies and criteria defined in natural language.
Power enterprise knowledge search to improve employee and customer productivity.
Auto-fill forms and data cards using unstructured content.
Improve customer experience by scoring support conversations against playbooks.
Reduce time-to-hire and Improve candidate quality by matching resumes to job descriptions.

State-of-the-art Generative AI/LLMs such as GPT4 and LLama 2 at users’ fingertips, in a production-ready state
No experts required: low/no code approach, no need to hire expensive AI/ML/DS engineers to build Gen AI apps
Plug-and-play for enterprise workflows: integrates with existing IT systems and enterprise workflows

Automated Contract Compliance for a Global Management Consulting Firm

Problem: A global management consulting firm that operates in over 40 countries oversees thousands of contracts. Ensuring each contract’s compliance with invoicing policy was a manual, time-consuming task, resulting in delays or policy violations.
Solution: weav.ai’s Document Copilot processes each contract, evaluates its alignment with the compliance policy, and provides clear explanations for its findings. This ensures that each contract is thoroughly and promptly vetted for policy adherence and significantly reduces manual effort.
Positive business impact: All present and future contracts conform to the compliance policy. On top of that, by using weav.ai’s Document Copilot to automate compliance management, the firm realizes significant labor savings, eliminating the need for manual contract assessments.

Enterprise Contract Search and Summarization for a F100 Pharmaceutical Giant

Problem: A Fortune 100 pharmaceutical giant developed a centralized contract management system to store and consolidate all its contracts globally. The company wanted to make these contracts searchable in natural language to address the thousands of annual ad-hoc contract access and review requests made by its globally distributed teams.
Solution: weav.ai’s Document Copilot processes every document stored in the contract management system to extract metadata to enable effective and easy natural-language searches, provide an intuitive search and chat interface to identify contracts of interest, and extract and summarize key details.
Positive business impact: The company’s globally distributed teams are able to easily search for and find the contracts they need, and quickly extract relevant sections and details, boosting employee productivity and saving time across the entire company.

Streamlining “Matchmaking” for a Funding Marketplace Operator

Problem: The customer operates an AI-powered funding platform that matches capital to companies that need it. Applications supply their financial data, sourced from various financial tools, in a variety of formats. Even after the Ops team manually standardized all submitted data and fed it to the funding platform, the platform’s results only met 60% of the target quality metric.
Solution: weav.ai’s Document Copilot automatically ingests all submitted documents and data, in various formats such as PDFs, CSV, Excel, Word, JSON and other formats, and transforms it into a single, normalized and labeled format that is then fed to the funding platform.
Positive business impact: Previously manual, somewhat error-prone, and slow – the “intake” process is now automated and fast. Further, the quality of results – aka, the efficiency of matching applications to sources of capital – is 90%+, because the platform is now leveraging the Document Copilot. The customer is processing funding requests faster and at a higher volume than before.