How DNI unified data across all workflows and kickstarted agentic transformation with Glean
22 ChatGPT agents consolidated into 1 Glean agent
Introduction
Delaware Nation Industries (DNI) is a tribally owned federal prime contractor headquartered in Oklahoma City, Oklahoma. DNI delivers enterprise IT services, cybersecurity, research and development, and professional services to federal government customers. Large customers include the Air Force, Army, Navy, Department of State, Centers for Disease Control and Prevention, and Federal Aviation Administration. DNI manages over 70 active prime government contracts and has been recognized as one of the fastest-growing private companies on the 2025 Inc. 5000 list.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Before adopting Glean, DNI relied on a ChatGPT Enterprise account that required manual document uploads with no live connection to SharePoint or other sources of truth. Information became outdated quickly, and due to ChatGPT’s limited knowledge base, DNI had to build and maintain separate agents for different customers.
This fragmentation created real bottlenecks across teams. Business development staff couldn't quickly determine whether DNI had the right capabilities to pursue a contract, and responding to RFPs meant manually digging through old proposals to find relevant information. DNI needed a solution that could consolidate its entire knowledge base into one place and scale across the organization.
That’s why they turned to Glean.
With Glean
Search across 30+ states and all projects
Before Glean, DNI employees had to navigate multiple systems just to track down a single piece of information. There was no central point of reference, and finding what you needed often required knowing where to look before the search could even start.
Glean consolidated all this data in one place, giving employees fast access to information previously scattered across multiple disparate sources. For a company managing government contracts with teams spread across over 30 states and international borders, having a single window into the entire organization's knowledge made it feasible to find information again.
Internal survey data found that Glean saves each employee 1.5 hours per week on information searching. With 80% of employees regularly using Glean, Zillow teams across HR, Engineering, UX Research, and more are able to prioritize higher value activities in their day to day workflows.
Wall to wall agentic transformation
When DNI implemented Glean, agent building took off across the organization. Within their first months, the team had built 84 agents, with roughly 30 in active daily use. This was made possible by Glean's natural-language agent builder, which was accessible enough for non-technical teams across business development, finance, HR, contracts, operations, and recruiting to build and use agents tailored to their workflows.
DNI's business development team previously had to rely on technical staff to answer product capability questions and confirm before pursuing a contract. Now, the Intel Core agent lets anyone in the organization ask whether DNI has the right experience, qualifications, and capabilities for a given opportunity and get an immediate, sourced answer. This access to intelligence has helped DNI quickly follow up on the right opportunities and reduced the effort spent on capability data analysis by 83%.
Built for the finance team, this agent automates one of the most labor-intensive parts of the RFP process. It reads the requirements, builds a compliant pricing model with annual escalation factored in, and generates a formatted narrative — a workflow that previously required hours of manual effort.
With 12 recruiters responsible for filling hundreds of positions, matching candidates to the right roles was time-consuming and too generalized. This agent takes a resume, maps it against the contract's specific technical requirements, surfaces alignment and gaps, generates targeted interview and follow-up questions, and drafts a fit summary for the hiring manager.
Designed for business development, this agent can ingest an RFP and produce a competitive analysis. It ranks customer priorities, scores DNI's fit on a 1-to-100 scale, identifies relevant past contracts, flags capability gaps that may require teaming partners, and generates win themes complete with discriminators and proof points. Responding to RFPs is now 92% faster, with DNI saving over 30 hours for every 100 responses and in turn optimizing their opportunity pipeline.
Built-in security and compliance
DNI established a Glean security policy that continuously scans its entire SharePoint environment and automatically flags any documents containing Controlled Unclassified Information (CUI) — a government designation for sensitive but unclassified data. Glean gave DNI's security team the visibility they needed to get ahead of sensitive data falling through the cracks and helped them remain compliant with government security requirements.
Internal survey data found that Glean saves each employee 1.5 hours per week on information searching. With 80% of employees regularly using Glean, Zillow teams across HR, Engineering, UX Research, and more are able to prioritize higher value activities in their day to day workflows.
