CGI Federal | GSA Financial Management Modernization & Cloud Migration
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CGI FEDERAL
GSA Financial Management Modernization &
Cloud Migration Action Plan
Research-based synthesized action plan | Current through September 16, 2026
$251M
6 months
Up to 50%
20%
2026 GSA contract
Pegasys cloud migration
performance improvement
cost reduction
1. Strategic Foundation
Objective.
Maintain a secure, resilient and cost-conscious financial management foundation for the U.S. General Services
Administration (GSA) while extending the value of its migration of the mission-critical Pegasys financial management system and the
Multi-Tenant Shared Application (MSA) environment to Amazon Web Services (AWS).
Current verified position.
GSA’s FY2025 Agency Financial Report states that Pegasys, MSA, all subsystems and test regions were
fully migrated from the vendor’s cloud data center to AWS. GSA identified AWS as the most secure approved solution for long-term
stability and future growth and as the most cost-effective option.
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Contract continuity.
On August 4, 2026, CGI Federal announced a $251 million GSA contract to continue hosting, operations and
maintenance support for Pegasys and MSA. This action plan therefore treats migration as the completed foundation and focuses on the
operating, modernization and optimization phase that follows it.
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Important scope note.
This is a research-based synthesis, not an official CGI or GSA publication. It uses verified public facts and
converts them into an operational planning framework. AI capabilities are described as modernization opportunities or CGI platform
capabilities unless a source explicitly ties them to the GSA implementation.
2. Mission Context & Architecture
Pegasys is GSA’s core accounting system. GSA also operates shared financial applications for commissions, agencies and boards.
The modernization direction combines cloud infrastructure, platform consolidation, automation, stronger identity and access controls,
and modernization of legacy systems.
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Layer
Action-plan role
Primary control
Mission applications
Pegasys + MSA operations and modernization
Availability, release control, functional validation
Cloud foundation
AWS hosting, resilience, scalability and recovery
Security architecture, monitoring, backup, recovery
Financial platform
CGI Momentum capabilities and federal financial processes
Compliance, auditability, data integrity
Identity & access
Automated governance and access certification
Least privilege, separation of duties
Data & automation
Analytics, workflow automation and exception handling
Human review, traceability, model/data governance
3. Strategic Priorities
•
Operate the migrated platform with resilience.
Establish measurable service, recovery and incident objectives for Pegasys/MSA.
•
Optimize cost and performance.
Continuously right-size infrastructure, workloads and operating processes while protecting service
quality.
•
Modernize incrementally.
Use modular releases rather than a disruptive “big bang” replacement.
•
Strengthen federal security and compliance.
Maintain continuous authorization evidence, identity controls, audit trails and data
protection.
CGI Federal | GSA Financial Management Modernization & Cloud Migration
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•
Expand responsible automation.
Prioritize high-volume, rules-based workflows and exception handling before higher-risk AI use
cases.
CGI Federal | GSA Financial Management Modernization & Cloud Migration
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4. Action Areas & Specific Initiatives
Action area
Specific initiative
Primary owner
Success signal
Cloud operations
Establish baseline SLOs; capacity and cost dashboards;
automated backup/recovery tests; patch and vulnerability
cadence.
CGI cloud operations + GSA
system leadership
Availability, recovery, cost/unit
and incident targets met
Platform modernization
Prioritize high-value Pegasys/Momentum functions for
modular modernization; retire redundant components where
feasible.
CGI Momentum team + GSA
OCFO/FMLoB
Reduced legacy footprint and
release cycle time
Batch processing
Profile high-volume jobs, remove bottlenecks, tune data
flows and monitor peak-period throughput.
Application engineering +
operations
Processing time and failure/retry
rates improve
Automation
Automate repeatable reconciliations, access workflows,
notifications and exception routing; retain human approvals
for material financial decisions.
Business process owners +
automation team
Manual effort reduced without
control exceptions
AI enablement
Evaluate agentic AI, predictive analytics and generative AI
only for bounded, auditable use cases with
human-in-the-loop review.
AI governance + security +
process owners
Accuracy, traceability and
control thresholds met
Security & compliance
Continuously validate access, encryption, logging,
vulnerability management and authorization evidence.
Security operations + GSA
security officials
Control evidence current; no
material unresolved gaps
5. Migration-to-Operations Roadmap
Phase
Timing
Focus
Decision gate
Foundation
Completed
Pegasys/MSA migration to AWS; establish secure cloud baseline.
Production acceptance and operational
readiness
Stabilize
2026
Operate, monitor, tune performance, validate recovery and
optimize cost.
SLO, security and cost baselines
sustained
Modernize
2026–2027
Incremental platform, workflow, data and automation
improvements.
Benefits validated per release
Scale
2027–2029
Expand successful automation and analytics; retire redundant
legacy components.
Enterprise controls and business case
remain positive
Continuous evolution
Ongoing
Refresh architecture, security, compliance and
financial-management capabilities.
Annual strategy and technology review
6. Responsible AI & Automation Guardrails
CGI’s current Momentum materials describe agentic AI, intelligent automation and exception-based processing as platform capabilities.
CGI’s Momentum-as-a-Service offering also describes human-in-the-loop review, model/data controls, data sovereignty and guardrails.
These capabilities should be introduced into GSA workflows through bounded use cases rather than assumed to be already deployed
throughout Pegasys.
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•
Start with low-risk workflows:
classification, reconciliation support, anomaly triage, document extraction and knowledge retrieval.
•
Require human accountability:
financial approvals, material adjustments, compliance judgments and exceptions remain subject to
designated officials.
•
Measure model performance:
accuracy, false-positive/negative rates, drift, explainability and escalation rates.
•
Protect data:
use agency-approved models, controlled data boundaries, logging and retention rules.
CGI Federal | GSA Financial Management Modernization & Cloud Migration
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7. KPI Scorecard
The first four measures below are externally verified outcomes reported by CGI/GSA. The remaining measures are proposed management KPIs for the synthesized
action plan and should not be represented as achieved results.
Metric
Verified / proposed target
Status basis
Cloud migration duration
6 months
Verified by CGI
Pegasys performance improvement
Up to 50%
Verified by CGI
Cost reduction
20%
Verified by CGI
Migration completion
Pegasys/MSA and subsystems/test regions fully migrated to AWS
Verified by GSA FY2025 AFR
Service availability
Set and monitor production SLO
Proposed management KPI
Recovery readiness
Regular successful recovery tests against approved objectives
Proposed management KPI
Automation benefit
Track hours avoided, cycle time and control quality per use case
Proposed management KPI
AI quality
Use-case-specific accuracy and escalation thresholds
Proposed management KPI
Security posture
No material unresolved critical control gaps
Proposed management KPI
8. Governance & Operating Model
Governance layer
Responsibilities
Cadence
Executive steering
Priorities, funding, risk acceptance, major modernization decisions.
Monthly /
quarterly
Program management
Roadmap, dependencies, benefits, milestones, vendor coordination.
Weekly
Architecture & cloud
AWS architecture, resilience, capacity, cost and technical debt.
Weekly
Security & compliance
Authorization, controls, vulnerability management, audit evidence.
Continuous /
monthly review
Financial process owners
Business requirements, controls, acceptance testing and process outcomes.
Per release /
monthly
AI governance
Use-case approval, data/model controls, human oversight and performance monitoring.
Per use case /
quarterly
9. Risks & Mitigation
Risk
Potential effect
Mitigation
Cloud configuration drift
Security or reliability degradation
Infrastructure-as-code, continuous configuration checks, change
control
Legacy dependency
concentration
Slow modernization and higher operating
cost
Dependency inventory, modular refactoring and retirement roadmap
Automation control failure
Incorrect financial processing
Human approval, reconciliation, audit trails and exception thresholds
AI error or hallucination
Incorrect recommendations or workflow
actions
Bounded use cases, approved models, retrieval controls, human
review
Cybersecurity incident
Service disruption or data exposure
Defense-in-depth, logging, threat detection, recovery testing and
incident response
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10. Action-to-Impact Framework
Action
Immediate output
Operational effect
Longer-term impact
Operate AWS foundation
Stable cloud service baseline
Better visibility and resilience
Sustainable modernization
platform
Optimize Pegasys workloads
Tuned processing and resource use
Faster jobs / lower avoidable cost
Improved financial operations
Modernize incrementally
Modular releases and retirements
Less technical debt
Lower disruption and
modernization risk
Automate bounded workflows
Workflow automation and exception
routing
Less repetitive manual work
Higher staff capacity and
consistency
Deploy responsible AI
Auditable AI-assisted functions
Faster analysis and triage
Data-driven financial
management
11. 90-Day Execution Blueprint
Window
Priority actions
Deliverables
Days 0–30
Confirm baseline architecture, contracts, service levels, cost model, critical dependencies,
security controls and recovery objectives.
Program baseline; KPI dashboard;
risk register; dependency map
Days 31–60
Tune highest-cost/highest-volume workloads; validate recovery; identify top five
automation opportunities; establish AI governance intake.
Optimization backlog; tested
recovery evidence; automation
shortlist
Days 61–90
Launch first low-risk automation pilots; establish monthly benefits review; prioritize legacy
retirement and modernization releases.
Pilot results; benefits scorecard;
release roadmap
12. Research Basis & Integrity Notes
Primary evidence.
GSA’s FY2025 Agency Financial Report documents the completed AWS migration of Pegasys and MSA and GSA’s
rationale for the AWS environment.
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CGI’s current GSA page reports the six-month migration, up-to-50% performance improvement and 20% cost reduction. CGI’s August
4, 2026 release documents the $251 million contract for continuing hosting, operations and maintenance of Pegasys and MSA.
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CGI’s current Momentum materials describe agentic AI, intelligent automation, exception-based processing and cloud-native federal
financial management capabilities. These are treated here as platform capabilities and planning options, not as proof that every
capability is already deployed in GSA’s production environment.
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Scope correction.
The $251 million 2026 contract is described by CGI as continued hosting, operations and maintenance support. It
should not be characterized as a wholly new AWS migration contract because GSA reports that the Pegasys/MSA migration was
already completed in FY2025.
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Document status.
This PDF is an independent research-based synthesized action plan. It is not an official publication, contract deliverable, or
endorsement by CGI Federal, CGI Inc., GSA or AWS.
Source list
• CGI Federal, “CGI Federal to advance General Services Administration financial management modernization,” August 4, 2026.
• CGI Federal, GSA account page, current 2026 materials on Pegasys cloud migration and modernization.
• GSA, FY 2025 Agency Financial Report, systems modernization and AWS migration discussion.
• CGI, Momentum Enterprise Suite, current 2026 product and federal financial management materials.
• CGI, Momentum-as-a-Service on AWS, current 2026 security, compliance, AI and modernization capabilities.
