Build for the
mission ahead.

Review applications, dependencies, and technical debt to prioritize improvements and define a phased modernization roadmap.

Update application architecture, improve user experiences, and develop maintainable services around program needs.

Plan data migration, regression testing, documentation, and knowledge transfer to support a controlled transition.

Assess workloads and dependencies, compare hosting approaches, and define a migration sequence.

Design cloud foundations, automate infrastructure provisioning, and configure identity, networking, and monitoring.

Review resource use, backup and recovery needs, and operational practices to improve reliability and manage spend.

Design, develop, document, and version APIs that make application capabilities easier to access and reuse.

Integrate enterprise platforms and legacy systems using appropriate batch, real-time, or event-driven patterns.

Build in authentication, validation, error handling, and monitoring to help teams troubleshoot integration issues.

Develop ingestion and transformation pipelines, reconcile sources, and improve data quality and consistency.

Define useful measures and create dashboards and reports that make program performance easier to understand.

Explore trends and operational questions while supporting data definitions, lineage, access controls, and stewardship.

Assess feasibility, data readiness, expected value, and risks before selecting a focused pilot.

Develop knowledge search, document assistance, summarization, and workflow support using appropriate AI approaches.

Evaluate output quality, ground responses in approved sources where appropriate, and design access controls and human review into workflows.

Explore data, engineer features, establish baselines, and select modeling approaches suited to the problem.

Evaluate models against meaningful metrics, test on held-out data, and examine errors, bias, and limitations.

Integrate models into applications and support versioning, performance monitoring, drift detection, and planned retraining.

Create continuous integration and deployment pipelines with repeatable builds and environment configuration.

Integrate code, dependency, and configuration scanning alongside secrets management and review practices.

Support automated testing, release approvals, observability, and rollback procedures aligned with operational needs.

Establish monitoring and alerting, investigate incidents, and maintain practical support runbooks.

Coordinate updates, address recurring problems, tune performance, and track operational trends.

Maintain documentation, support backup and recovery exercises, and plan knowledge transfer and service transitions.