Use Cases for IT Professionals

A hybrid cloud design and implementation engagement that unifies on-premises and cloud infrastructure into a single operating model — improving agility, resilience, and compliance posture.

Design and deployment of a high-performance computing cluster with GPU acceleration to support computationally intensive mission applications including AI training, scientific simulation, and signals processing.

A storage infrastructure refresh and data management strategy that improves performance, reduces risk, and establishes tiered data lifecycle policies across the enterprise.

A network modernization program that replaces aging switching and routing infrastructure, implements micro-segmentation, and delivers improved visibility and performance across campus and data center networks.

Design and deployment of ruggedized edge computing nodes that deliver cloud-native capabilities in disconnected, denied, intermittent, and limited (DDIL) environments.

A structured data center consolidation program that migrates workloads, decommissions facilities, and optimizes remaining environments — delivering measurable cost savings and compliance with federal mandates.

A phased Zero Trust implementation that establishes identity-centric access controls, micro-segmentation, and continuous verification across all pillars — identity, devices, networks, applications, and data.

Deployment of an integrated SIEM and SOAR platform that centralizes security event data, correlates threats across sources, and automates response playbooks to reduce analyst workload and improve mean time to respond.

Enterprise-wide deployment of EDR capabilities that provide continuous endpoint monitoring, behavioral threat detection, and rapid containment — improving security posture and enabling proactive threat hunting.

An IAM modernization program that centralizes identity management, implements strong authentication, and establishes governance controls — forming the foundation for Zero Trust access decisions.

A structured compliance readiness engagement that identifies control gaps, implements remediation plans, and prepares evidence packages — accelerating the path to certification or authorization.

Structured adversarial testing that simulates real-world attack techniques against mission systems — identifying exploitable vulnerabilities, validating defensive controls, and providing prioritized remediation guidance.

Design and implementation of CI/CD pipelines that automate build, test, scan, and deployment — embedding security gates at every stage and producing audit-ready evidence for accreditation.

Design and deployment of a hardened Kubernetes platform that provides self-service application hosting, automated scaling, and integrated security — enabling development teams to deliver faster without sacrificing governance.

Adoption of infrastructure-as-code practices that replace manual configuration with declarative, version-controlled templates — enabling repeatable deployments, drift detection, and compliance-as-code.

Implementation of automated security scanning capabilities — SAST, DAST, SCA, and container scanning — integrated directly into CI/CD pipelines to catch vulnerabilities before they reach production.

Establishment of a platform engineering practice with GitOps-driven workflows that enable developers to self-service compliant infrastructure and application deployments through curated templates and automated guardrails.

An approach to accelerating ATO and enabling continuous authorization by automating control evidence generation, integrating security scanning into delivery pipelines, and establishing continuous monitoring — reducing accreditation timelines from months to weeks.

Design and deployment of machine learning and deep learning pipelines that transform raw data into actionable predictions — from data engineering through model training, validation, and deployment in secure environments.

A structured approach to integrating generative AI capabilities into enterprise workflows — selecting appropriate models, establishing data governance, and deploying within security boundaries that protect sensitive information.

Design and implementation of a data lakehouse architecture that combines the reliability of data warehouses with the flexibility of data lakes — providing a single platform for BI, reporting, and advanced analytics.

Implementation of a real-time analytics platform that ingests, processes, and visualizes streaming data — enabling operators to make informed decisions based on current conditions rather than historical reports.

Deployment of NLP capabilities that automate the analysis of unstructured text — extracting entities, classifying documents, and generating summaries to accelerate human review and decision-making workflows.

Development and deployment of computer vision systems that automate visual analysis tasks — object detection, classification, change detection, and anomaly identification — augmenting human analysts with AI-powered capabilities.

Implementation of a modern ITSM platform that standardizes service request fulfillment, incident management, change management, and asset tracking — improving service quality and operational visibility across the enterprise.

Identification and automation of repetitive, rules-based business processes using RPA — freeing staff from manual tasks and reducing errors while maintaining compliance and audit trails.

Enhancement of the IT service desk with AI capabilities that automatically classify, route, and suggest resolutions for incoming tickets — improving response times and first-contact resolution while reducing analyst workload.

Design and implementation of automated workflow orchestration that coordinates tasks across tools, teams, and systems — replacing manual handoffs with automated, auditable, end-to-end process execution.

Design and deployment of a self-service portal that empowers end users to submit requests, track status, access knowledge articles, and resolve common issues independently — improving user satisfaction while reducing service desk workload.

Deployment of AI-powered chatbot and virtual agent capabilities that provide 24/7 first-line IT support — handling routine inquiries, automating password resets and access requests, and escalating complex issues to human analysts with full context.

A structured cloud migration program that assesses, plans, and executes workload migration to authorized cloud environments — using the right migration pattern for each application while maintaining security, compliance, and operational continuity.

Architecture optimization and operational maturity engagement for organizations running workloads in AWS GovCloud or Azure Government — improving cost efficiency, security posture, and operational reliability.

Comprehensive FedRAMP authorization support that prepares cloud services for assessment — from initial gap analysis through documentation development, 3PAO coordination, and continuous monitoring program establishment.

Implementation of a multi-cloud management strategy that provides unified visibility, governance, and operational tooling across AWS, Azure, and other cloud environments — preventing cloud sprawl while enabling teams to use the best platform for each workload.

Design and deployment of tactical edge infrastructure that delivers cloud-native compute, storage, and applications in forward environments — purpose-built for disconnected, denied, intermittent, and limited (DDIL) operations.

Design and deployment of self-contained IT systems for austere environments — integrating ruggedized hardware, autonomous management, power-efficient architectures, and air-gapped operations to support missions where traditional IT infrastructure cannot operate.