Workorb AI

What is Workorb AI?

Workorb AI is built specifically for the Architecture, Engineering, and Construction (AEC) industry. It works like a virtual employee that handles tasks such as writing proposals and RFP responses, tracking professional relationships, extracting information from documents, and managing non-billable work.

The tool uses Graph Large Language Models (LLMs) to understand and untangle complex relationships within large organizations. It connects and analyzes conversations from multiple platforms, automates tasks, and provides insights into customer relationships, helping customer-facing teams improve sales, upselling, and service outcomes.

Who created Workorb AI?

Workorb was founded by Nilesh Bansal and Nick Koudas, both of whom hold PhDs and have extensive experience in machine learning and text mining. Its mission is to improve efficiency for customer-facing teams managing relationships with enterprise clients.

What is Workorb AI used for?

• Drafting proposals and RFP responses
• Tracking and managing professional relationships over time
• Finding details and designs across past client engagements and documents
• Explaining lengthy documents, including those up to 1,000 pages
• Automating compliance obligations and extracting requirements from bids and contracts
• Connecting and analyzing internal and external conversations—emails, chat messages, files, and calls—to build a complete picture of B2B customer relationships
• Recording interactions and automating repetitive customer-related tasks for sales, upselling, and service teams

Key takeaways

Workorb AI combines Graph LLMs with workflow automation to reduce non-billable administrative work for AEC firms. It centralizes project details, supports proposal writing, helps manage compliance, and gives customer-facing teams a comprehensive view of long-running, multi-person client relationships.