Our Approach
The Mission Modernization Lifecycle
Assess, Modernize, Migrate, Integrate, Sustain, and Authorize with secure AI value engineered into every stage.
Customers enter the lifecycle where their need is. Each stage below sets out what it takes in, how Xfinion executes it, what it delivers, and the outcome it produces.
AI value AI-accelerated discovery of dependencies and high-value AI use cases.
Input
Legacy systems, mission requirements, current security and ATO posture, and stakeholder pain points.
Approach
Application-portfolio rationalization, dependency mapping, and cloud-readiness analysis, plus a security-control and ATO gap assessment against NIST SP 800-53 or the DoD Cloud SRG, accelerated by AI-assisted code and configuration discovery.
Deliverables
Current-state assessment, target-state architecture, prioritized modernization roadmap, per-application migration disposition (rehost, replatform, refactor, rebuild), and an ATO gap analysis.
Outcome
A defensible, sequenced roadmap that converts a vague “modernize it” mandate into a plan with risks, dependencies, and authorization gaps known up front.
AI value AI-assisted refactoring and automated test generation.
Input
The approved roadmap and target architecture, plus legacy application code and data.
Approach
Rebuild or refactor onto supportable, modular frameworks (such as .NET Core) using microservices and containerization, role-based access control, and Infrastructure as Code, with AI assisting refactoring and test creation.
Deliverables
Modernized application components, containerized services, IaC templates, automated test suites, and updated technical documentation.
Outcome
A maintainable, secure, component-based application that can evolve feature-by-feature and is ready for the cloud.
AI value Establishes security foundation that authorized AI requires.
Input
Modernized components, the target cloud and impact level (AWS, Azure Government, or DISA STRATUS), and the data to be moved.
Approach
Stand up a compliant cloud landing zone; deploy blue/green or parallel environments; validate accuracy and performance under load; migrate data encrypted and verified; rehearse the cutover with a tested rollback path.
Deliverables
Cloud landing zone, blue/green deployment pipeline, migration runbooks, a data-migration validation report, and a rollback plan.
Outcome
Systems running in FedRAMP-authorized cloud with a zero-downtime cutover, and the secure foundation that authorized AI services depend on.
AI value Azure OpenAI and AI Foundry embedded as governed features.
Input
Migrated systems, mission data sources, and capability requirements, including AI.
Approach
API integration and system orchestration; embed Azure OpenAI and Azure AI Foundry (RAG, Copilot Studio) and enterprise services; wire in monitoring and security tooling from day one.
Deliverables
Integrated interfaces and APIs, AI and RAG components with guardrails, orchestration workflows, and integration test results.
Outcome
A unified system where new capability, including secure AI features, functions as one governed whole rather than disconnected parts.
AI value AIOps and recurring AI assurance inside O&M.
Input
The integrated, operational system, its service-level agreements, and its user base.
Approach
24/7 SLA-driven operations and maintenance; proactive monitoring and synthetic testing; incident response, root-cause analysis, and post-deployment review; AIOps plus recurring AI assurance (guardrail enforcement and model-drift monitoring).
Deliverables
O&M governance (service board and SLAs), monitoring dashboards, incident and RCA reports, runbooks and a knowledge base, and AI-assurance reporting.
Outcome
Predictable, high-availability operations with continuous improvement, and AI that stays safe and compliant over time.
AI value ATO for AI under the NIST AI Risk Management Framework.
Input
The system security posture, accumulated control evidence, and the governing framework (NIST 800-53, DoD SRG, or NIST AI RMF).
Approach
Security woven through every prior stage; continuous control-evidence collection; POA&M lifecycle management; ATO package preparation and continuous monitoring, extended to authorizing the AI itself.
Deliverables
System Security Plan, control-implementation evidence, POA&M, the ATO package, and continuous-monitoring reports.
Outcome
Full Authority to Operate and sustained compliance: authorization as the natural conclusion of the work, not a scramble at the end.
See how this applies to your mission.
Request a capability briefing tailored to your program.