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Perspectives from our practitioners across our six capabilities.
Featured · PerspectiveOur approach to applied AI in governmentFederal policy has resolved whether artificial intelligence belongs in government. It has not resolved how to build it well. Five principles that govern how Sierron approaches the work.
- Where AI delivers measurable results in government operationsThe strongest returns in government artificial intelligence originate in internal operations: high volume, procedurally documented, and already measured.Vishwak Challapalli, Founder, Sierron CorporationRead →
- Accelerating software delivery without compromising accreditationAI assisted development produces measurable velocity gains. On federal programs, those gains reach users only where the accreditation path advances correspondingly.Vishwak Challapalli, Founder, Sierron CorporationRead →
- A practical governance model for AI already in useGovernance programs typically address planned deployments. The immediate exposure is existing usage. A discovery first approach aligned to the NIST AI Risk Management Framework.Vishwak Challapalli, Founder, Sierron CorporationRead →
- Building the data foundation for AI in federal cloud environmentsMigration resolved hosting. Artificial intelligence readiness is a data architecture question, and it accounts for most program delay at the outset.Vishwak Challapalli, Founder, Sierron CorporationRead →
- Designing AI-Enabled Services for CitizensConversational assistance can perform strongly against interaction measures while completion rates remain unchanged. What to measure instead, and where artificial intelligence contributes materially.Vishwak Challapalli, Founder, Sierron CorporationRead →
- Our approach to applied AI in governmentFederal policy has resolved whether artificial intelligence belongs in government. It has not resolved how to build it well. Five principles that govern how Sierron approaches the work.Vishwak Challapalli, Founder, Sierron CorporationRead →
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