Discover
Clarify goals, stakeholders, constraints, current systems, workflows, and readiness.
Implementation services
Combine program design, product configuration, engineering, data work, training, rollout, and support in one governed implementation approach.
Implementation lifecycle
Phase gates, documented decisions, acceptance criteria, and shared responsibilities keep technical work aligned with program operations.
Clarify goals, stakeholders, constraints, current systems, workflows, and readiness.
Map target processes, solution architecture, controls, data, and delivery responsibilities.
Set up products, roles, workflows, rules, terminology, and environments.
Build agreed interfaces and prepare data migration with validation and reconciliation.
Complete functional, integration, security, performance, and user-acceptance testing.
Train users, document operations, confirm support, and complete rollout readiness.
Transition through a governed deployment and stabilization period.
Resolve issues, monitor operations, transfer knowledge, and manage improvements.
Workstreams
Successful delivery depends on program owners, claims teams, clinical reviewers, provider users, finance, security, infrastructure, and support working from a shared implementation plan.
Requirements analysis, process mapping, governance, role design, and acceptance criteria.
Products, benefits, contribution rules, terminology, user roles, and operational workflows.
Custom development, APIs, data exchange, identity, payment, reporting, and system interfaces.
Profiling, mapping, cleansing responsibilities, test loads, reconciliation, and production cutover.
Architecture, access, logging, backups, recovery, environment segregation, and deployment practices.
Role-based training, operating procedures, super-user preparation, rollout communication, and knowledge transfer.
Functional, integration, regression, performance, security, and user-acceptance validation.
Stabilization, incident handling, monitoring, service review, releases, and continuous improvement.
Operating models
Hosted and managed by Pillarsis with operational support aligned to the program’s requirements.
Deployed into a customer-designated cloud environment with agreed responsibilities and controls.
Installed within customer infrastructure or a designated data center where program constraints require it.
The appropriate model depends on program scope, data residency, security, integration, and operating requirements.
Talk with Pillarsis about your program, provider network, current systems, claims workflows, and implementation priorities.