The public sector is currently facing an operational crisis known as “legacy software debt.” Across civilian, health, and defense agencies, vital daily services-ranging from veteran benefits administration and public health monitoring to military logistics tracking-are managed by software code bases that are decades old. These legacy configurations are expensive to maintain, highly vulnerable to modern cyberattacks, and difficult to modify using traditional engineering methods.
The biggest hurdle in updating these systems is not writing the new code. The real challenge lies in reconstructing hidden business logic. Over thirty or forty years of continuous operations, a system accumulates thousands of custom modifications, hidden dependencies, and undocumented procedural rules.
If an agency attempts a manual “rip-and-replace” modernization project without fully understanding these buried rules, the transition frequently encounters massive code rewrites, expensive project delays, and severe service disruptions that impact citizens and government personnel.
To resolve this modernization bottleneck, generative AI platform innovator Rhino.ai and Carahsoft Technology Corp., the Master Aggregator™ and trusted government IT solutions provider, announced an expansive strategic partnership on June 25, 2026.
Under the agreement, Carahsoft will serve as Rhino.ai’s primary public sector distributor. This alliance makes the company’s automated system discovery and agentic modernization platform widely available across federal, state, and local agencies through Carahsoft’s extensive network of reseller partners and established government contract vehicles.
Delivering Automated System Discovery to the Public Sector
The collaboration focuses on moving public sector technology transformations away from slow, manual code audits toward AI-driven automated system discovery. Instead of forcing systems integrators to manually evaluate millions of lines of old COBOL or legacy enterprise code, Rhino.ai utilizes its patented Universal Application Notation (UAN) to scan, extract, and map hidden business logic into a structured format.
The unified deployment model delivers several key capabilities to government IT leaders:
Accelerating Modernization Timelines: By automating code analysis, the platform allows agencies to discover and document complex legacy applications 10x faster than traditional methods, compressing multi-year discovery phases into days.
Slashing Migration Rework: Giving engineers absolute visibility into existing business logic allows the platform to reduce modernization rework by as much as 80%, preventing expensive configuration errors during data migration cycles.
Building the Foundation for Agentic AI: The platform organizes extracted business logic into a governed, traceable logic graph. This verified repository can be fed directly into advanced autonomous AI agents, ensuring they execute workflows without the risk of logic hallucinations or compliance violations.
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Streamlined Public Procurement: Carahsoft is making the Rhino.ai platform immediately accessible via core government procurement vehicles, including the NASA Solutions for Enterprise-Wide Procurement (SEWP) V contract, the Information Technology Enterprise Solutions – Software 2 (ITES-SW2) vehicle, and the National Cooperative Highway Research Program (NCHRP).
Impact on the Information Technology Industry
The strategic alliance between Rhino.ai and Carahsoft signals a major evolutionary step for the broader Information Technology sector, reshaping how large-scale enterprise modernization projects are budgeted and executed:
1. Moving Beyond Manual System Audits to Algorithmic Discovery
Historically, the first phase of any major enterprise digital transformation required a massive workforce of consulting analysts to interview personnel, read outdated paper manuals, and try to piece together how a legacy system operated.
This partnership models a new standard for global IT deployment: Algorithmic Asset Ingestion. By using generative AI to reverse-engineer running systems directly from their compiled code or live database schemas, the technology sector is proving that software documentation can be managed automatically, systematically lowering project delivery risks.
2. Accelerating Open-Source and Vendor-Independent Architectures
A major challenge holding back large organizations is vendor lock-in, where proprietary application layers restrict data portability and force enterprises to pay expensive, recurring software licensing fees.
Extracting core business rules and translating them into a platform-agnostic language like Universal Application Notation allows organizations to break free from proprietary constraints. IT leaders can shift their operations into portable, open-source containerized models, ensuring their technology stacks remain flexible and adaptable to changing institutional requirements.
Overall Effects on Businesses Operating in the Industry
For commercial systems integrators, independent software vendors, and technology procurement professionals navigating large enterprise upgrades, this automation milestone introduces direct operational advantages:
Slicing Fixed-Price Project Risk for Systems Integrators: Large consulting firms and systems integrators frequently lose significant margin on large modernization contracts when hidden code dependencies emerge late in development, forcing expensive, unplanned rework. Utilizing automated logic extraction before starting coding cycles protects corporate delivery margins and ensures projects hit strict completion deadlines.
Getting Maximum Out of Enterprise Data Silos: In order for established enterprises with many decades’ worth of transaction data, it is exceedingly tough to integrate their older systems with new-age analytics tools. The process of standardizing underlying business rules gives companies the ability to seamlessly integrate their legacy data pipelines to cloud-based architectures, and gain predictive insights without interrupting production systems.
Iron-Clad Compliance Maintenance Through Autonomous Workflows: With increasing pressure from regional and international authorities with respect to handling of data and AI-based processes, it becomes a liability for any business if there is a violation of compliance standards through their automation systems. Having a version-controlled graph of all corporate rules helps risk officers maintain unchangeable audit history.
Conclusion
“Partnering with Carahsoft to bring our AI platform to Government agencies is an exciting step in helping us deliver mission-critical services with speed, agility, and efficiency,” stated Chris O’Connell, EVP of Global Sales at Rhino.ai. The partnership framework is a definitive reminder that scaling the next generation of digital transformation requires moving past the limits of legacy software debt. By pairing the automated system discovery and logic mapping engines of Rhino.ai with the massive public sector distribution network and procurement pathways of Carahsoft, these two pioneers are providing the foundational blueprints needed to run a secure, modern digital economy. For the information technology sector, this integration delivers a clear principle for the road ahead: true market leadership belongs to open, highly responsive, and automated systems—powering enterprise growth on an absolute foundation of structural transparency and unbottlenecked trust.