Case Studies
Case Studies — Mission Delivered
Every engagement below is live, documented, and verifiable. Our work spans cloud modernization, AI-powered document intelligence, DevSecOps automation, data analytics, fraud detection, and identity management — all in active federal production environments.
9+
Years of continuous
federal delivery
$3.35M
Cumulative NIH NITAAC contract value
3,600+
Documents processed
daily by our IDP platform
99%
IDP parsing accuracy in live production
45%
Faster deployment
via DevSecOps
90%
Reduction in document
review time
- All Case Studies
- Cloud Modernization
- AI / ML
- DevSecOps
- Data Analytics
- ICAM / Security
- O&M
NIH · NITAAC
Case Study 01 · Cloud Modernization & Migration
NIH e-GOS Legacy-to-Cloud Modernization
Full re-architecture of a mission-critical Government-Wide Acquisition Contract platform supporting federal civilian and DoD procurement agencies.
Contract Value
$1.71M
Period
Aug 2016 – Dec 2022
Contract #
75N98020C00019
Status
Completed
Challenge
The NIH NITAAC e-GOS platform — a mission-critical procurement system supporting GWACs including CIO-SP3, CIO-SP3 Small Business, and CIO-CS — was operating on a legacy, on-premise architecture that could not scale to meet growing federal demand. The system required a full re-architecture into a modern, FedRAMP-compliant cloud environment without disrupting daily procurement operations serving hundreds of federal agencies and contractors across the civilian and DoD customer base.
Solution
Krai Solutions executed a lift-and-shift migration followed by full cloud-native re-architecture on AWS, delivering a four-tier architecture — data, application, presentation, and integration — purpose-built for federal scale. Key deliverables included:
- Multi-tier cloud architecture: Angular 9 frontend, Spring-Hibernate middleware, NGINX, Tomcat 8, Amazon RDS for SQL Server, and Apache Solr for enterprise search.
- Agile DevSecOps delivery: Implemented Scrum practices with CI/CD pipelines, automated testing via Selenium and Katalon Studio, and code quality gates via SonarQube — achieving 45% faster deployment cycles.
- Secure data migration: Migrated sensitive procurement data to AWS RDS for SQL Server with full encryption, access controls, and NIST 800-53 hardening throughout.
- Application modernization: Delivered new user-facing features, RESTful API integrations, and UI/UX enhancements for both government users and vendors.
- Security and compliance: Conducted security audits, vulnerability assessments, and implemented FedRAMP-compliant security controls end to end.
Live since August 2016
NIH NITAAC e-GOS
100% AWS-native
FedRAMP-aligned
Outcomes
45%
Faster deployment cycles via DevSecOps automation
99%
Bug-free release rate post-pipeline implementation
6%
Years of uninterrupted system operations delivered
Mission disruptions during live migration and cutover
"This enterprise-level engagement spanned multiple years and involved managing both legacy systems and the transition to modern, FedRAMP-compliant cloud environments."
— Krai Solutions NIH NITAAC Past Performance Record
Platform Scope
The e-GOS platform supports procurement officers across all federal agencies accessing GWACs including CIO-SP3, CIO-SP3 Small Business, and CIO-CS — some of the most widely used IT acquisition vehicles in the federal government.
Architecture Stack
AWS EC2
Amazon RDS SQL Server
Apache Solr
Angular 9
Spring-Hibernate
NGINX
Tomcat 8
SonarQube
Selenium
Jenkins CI/CD
NIH · NITAAC
Case Study 02 · Operations, Maintenance & Support
NIH e-GOS Full-Lifecycle O&M and Continuous Modernization
Ongoing operations, maintenance, security compliance, and system enhancement for a mission-critical federal procurement platform handling thousands of daily transactions across multiple GWACs.
Contract Value
$1.64M
Period
Dec 2022 –
Present
Contract #
47QTCA18D008J /
75N98023F00043
Status
Active
Context
Following the successful cloud modernization of e-GOS, Krai Solutions transitioned into the primary technical executor for full-scope operations, maintenance, and continuous modernization of the platform under Tripoint Solutions’ prime contract. The e-GOS system operates at the heart of NIH’s IT acquisition process, supporting hundreds of procurement officers and contractors executing transactions across CIO-SP3, CIO-CS, and CIO-SP3 Small Business GWACs.
Scope of Delivery
- Full System O&M: Daily cloud-hosted and legacy on-premise operations including patching, hotfixes, user support, and system optimization — zero downtime SLA maintained throughout.
- Agile development & modernization: Scrum-based microservices architecture using Angular 9, Spring-Hibernate, Tomcat 8, NGINX, and Amazon RDS for SQL Server.
- Security and compliance: Continuous NIST, FedRAMP, and NIH security standards compliance through system audits, vulnerability remediation, and zero-baseline security reviews.
- Database management: SQL Server performance tuning, optimization, and secure administration of databases migrated to Amazon RDS.
- Tiered user support: Full helpdesk support via Salesforce Ticketing System with root-cause analysis, escalation handling, and resolution documentation.
- Training & knowledge transfer: User guides, training modules, and direct end-user training for smooth adoption and long-term usability across the federal user base.
System O&M
Agile Scrum
Amazon RDS
Salesforce Ticketing
FedRAMP Continuous
NIST 800-53
Outcomes
Active
Engagement ongoing with zero contract terminations or performance findings
2+
Years of continuous O&M delivered on the current contract vehicle
100%
NIST 800-53 and FedRAMP compliance maintained throughout
9+
Total years of institutional knowledge embedded in this platform
Why This Matters
Krai’s ability to operate a mission-critical federal system at this level — continuously, across three contract vehicles, for 9+ years — represents a depth of institutional knowledge that no new entrant can replicate. When Krai maintains a system, it understands every layer: the architecture we built, the data we migrated, the security controls we hardened, and the users we trained.
GWAC Coverage
CIO-SP3
CIO-SP3 Small Business
CIO-CS
Federal Civilian
DoD
NIH · NITAAC
Case Study 03 · Data Management, Lake & Analytics
NIH e-GOS Legacy Database Modernization & Analytics Enablement
End-to-end data modernization of a multi-tenant federal acquisition platform — from legacy database migration to enterprise data lake, real-time analytics pipelines, and Tableau dashboards for procurement leadership.
Contract Value
$1.71M
Period
Dec 2022 –
Present
Contract #
47QTCA18D008J /
75N98023F00043
Status
Active
Challenge
NIH NITAAC’s e-GOS platform handled billions of dollars in IT acquisitions across a multi-tenant federal environment, but its legacy database architecture could not support the analytics, reporting, and compliance needs of a modern procurement system. Sensitive procurement data was siloed in legacy SQL Server environments with no unified analytics layer, no real-time visibility, and no scalable data governance framework.
Scope of Delivery
- Data integration & migration: Refactored and migrated sensitive procurement data into AWS RDS and AWS Redshift. Designed secure ingestion pipelines using AWS Glue, Lambda, and Step Functions for real-time and batch processing.
- Enterprise data lake: Built centralized data lakes with AWS Lake Formation and structured warehouses on AWS Redshift, enabling unified access and cross-system analytics for the first time.
- Analytics & dashboards: Delivered interactive Tableau dashboards and reporting pipelines enabling leadership to monitor procurement activity, identify anomalies, and accelerate compliance audits.
- Performance & security optimization: Applied SQL tuning, infrastructure assessments, and static code analysis. Hardened systems against vulnerabilities to FedRAMP and NIST SP 800-53 compliance.
- DevSecOps integration: Implemented Agile Scrum, CI/CD pipelines, and automated QA/QC using SonarQube, Selenium, and JUnit to improve delivery speed and accuracy.
AWS Redshift
AWS Lake Formation
AWS Glue
Tableau Dashboards
Real-time Pipelines
FedRAMP
NIST SP 800-53
Outcomes
Real-time
Procurement activity visibility via Tableau dashboards — previously unavailable
Unified
Cross-system data lake enabling analytics across all GWAC procurement streams
$1.71M
Contract value supporting mission-critical data infrastructure at federal scale
100%
FedRAMP and NIST 800-53 compliance maintained throughout migration
Complexity
This modernization required re-architecting a mission-critical federal procurement system without disrupting daily operations. Challenges included migrating large volumes of sensitive procurement data, maintaining zero-downtime operations across the transition, and delivering analytics capabilities to users who had never had real-time procurement visibility before.
Data Stack
AWS Redshift
AWS Lake Formation
AWS Glue
AWS Lambda
AWS Step Functions
Amazon RDS
Tableau
SonarQube
NIH · NITAAC
Case Study 04 · ICAM · Zero Trust · Identity Modernization
NIH e-GOS Identity & Access Management Modernization
Zero Trust architecture implementation, MFA, SSO, and OpenID Connect identity modernization for a federal procurement platform serving civilian and DoD agencies — embedded at the application layer, not the perimeter.
Total Contract Value
$3.35M
Period
Dec 2022 –
Present
Contract #
47QTCA18D008J /
75N98023F00043
Status
Active
Challenge
As federal cybersecurity mandates evolved — including Executive Order 14028 and OMB M-22-09 mandating Zero Trust Architecture — NIH NITAAC’s e-GOS platform required a full Identity and Access Management (ICAM) overhaul. The system needed to move from perimeter-based authentication to application-layer identity enforcement, while maintaining 100% uptime for a platform serving the entire federal GWAC ecosystem.
Solution
- Zero Trust Architecture: Implemented IAM-enforced Zero Trust service isolation — every user session, API call, and data access event authenticated and authorized independently.
- MFA + SSO via OpenID Connect: Deployed Multi-Factor Authentication and Single Sign-On using NIH Login via OpenID Connect — enabling seamless, secure access for both federal employees and vendor users.
- Continuous security posture monitoring: Security audits, vulnerability assessments, and hardening aligned to NIST 800-53 integrated into operational rhythm — not annual events.
- Zero-baseline security reviews: Penetration testing cycles and zero-baseline reviews embedded into every sprint cycle, providing real-time risk visibility to authorizing officials.
- Full documentation & training: Comprehensive user guides, ICAM training programs, and direct stakeholder support to ensure smooth adoption across the federal user base.
Zero Trust Architecture
MFA + SSO
OpenID Connect
NIST 800-53
EO 14028
CMMC Level 1
Outcomes
Zero
Security incidents or compliance findings during ICAM implementation
100%
EO 14028 and OMB M-22-09 Zero Trust mandate alignment achieved
Active
Identity controls continuously monitored and maintained in production
$3.35M
Total contract value — Krai’s largest single engagement to date
"Security is not a feature we add at deployment — it is the foundation we build on from day one."
— Krai Solutions DevSecOps Architecture Principle
Security Stack
NIH Login / OpenID Connect
MFA
SSO
AWS IAM
Zero Trust
NIST 800-53
FedRAMP
Code Creator · LLC
Case Study 05 · AI-Powered IDP SaaS Platform
Proprietary Intelligent Document Processing SaaS Platform
End-to-end design, development, and deployment of a cloud-native, multi-tenant SaaS platform processing 3,600+ documents daily with 99% parsing accuracy using AWS ML services — enterprise-grade engineering at commercial scale.
Contract Value
$40K T&M
Period
Feb 2020 –
Oct 2022
Client
Code Creator, LLC
Wethersfield, CT
Status
Completed
Challenge
Code Creator, LLC required a production-grade, cloud-native SaaS platform capable of ingesting, analyzing, and transforming high volumes of structured and unstructured documents at enterprise scale — with multi-tenant isolation, real-time ML-powered extraction, and a full analytics layer. Despite a modest contract value, the engineering scope was enterprise-grade: the platform needed to be extensible for both commercial and federal agency use, including high-security, high-availability environments.
Solution
- Multi-tenant SaaS architecture: Built on AWS SaaS Boost — isolated tenant environments with centralized control, automated onboarding, and tenant-level data segregation.
- AWS ML integration stack: Amazon Textract for OCR-based data extraction, Amazon Comprehend for NLP and entity detection, Amazon Rekognition for image analysis, Polly, Transcribe, Translate, and Fraud Detector — all integrated into a unified document intelligence pipeline.
- Serverless microservices backend: REST API-driven backend with AWS Lambda microservices for serverless compute efficiency at scale.
- Identity & access management: AWS Cognito for authentication with MFA and integration with enterprise identity providers.
- CI/CD & observability: Jenkins, SonarQube, and Gatling CI/CD pipelines with CloudWatch monitoring for end-to-end operational visibility.
AWS SaaS Boost
Amazon Textract
Amazon Comprehend
AWS Lambda
Amazon Cognito
Multi-tenant SaaS
99% Accuracy
Outcomes
3,600+
Documents processed per day in production
99%
Parsing accuracy across all document types in live production
1,000
Pages per minute throughput at peak load
90%
Reduction in document review time vs. manual processing baseline
Why This Matters
Despite a $40K T&M contract value, Krai delivered enterprise-grade engineering that any federal agency would recognize as production-ready. This platform is the direct predecessor to Krai’s current IDP capability — now deployed at NIH NITAAC and extended with Amazon Bedrock generative AI, RAG-based retrieval, and LLM-powered summarization. The Code Creator engagement proved the architecture. NIH proved it at scale.
IDP Service Stack
Amazon Textract
Amazon Comprehend
Amazon Rekognition
AWS Lambda
Amazon Cognito
AWS SaaS Boost
CloudWatch
Jenkins
Solution Brief
Case Study 06 · AI-Powered DevSecOps · Continuous ATO
AI-Powered DevSecOps Pipeline with Continuous ATO
An AWS-native, GenAI-driven DevSecOps pipeline that eliminates the 12–18 month ATO cycle by embedding Continuous Authorization to Operate into every phase of federal software delivery — powered exclusively by Amazon Bedrock and Amazon Q Developer.
Type
Solution Brief
AI Engine
Amazon Bedrock +
Amazon Q Dev
Compliance
EO 14028 · FedRAMP
NIST 800-53
Availability
Available Now
Problem
Traditional ATO cycles take 12–18 months — making it nearly impossible for federal agencies to deliver software at the speed of mission. Security is bolted on at deployment, compliance evidence is collected manually, and SSP narratives are written by humans from scratch every year. Meanwhile, EO 14028 mandates Zero Trust, SBOM, and endpoint detection — requirements that most manual pipelines cannot satisfy consistently.
Krai’s Solution
- Amazon Bedrock cATO narrative generation: Auto-generates System Security Plan (SSP) narrative sections from live compliance data — grounded in NIST 800-53 and FedRAMP via Bedrock Knowledge Bases RAG.
- Amazon Q Developer in-pipeline: Real-time secure coding recommendations embedded directly inside the CI/CD pipeline — every commit reviewed by AI before it reaches staging.
- MITRE ATT&CK threat modeling per build: Bedrock generates threat models aligned to MITRE ATT&CK for every build — not every year.
- Amazon Inspector v2: Continuous container and Lambda vulnerability scanning — supply chain integrity with SBOM-based dependency analysis.
- AWS CodeCatalyst: Modern source control and PR management replacing deprecated CodeCommit — integrated dev environment with built-in security gates.
Amazon Bedrock
Amazon Q Developer
AWS CodeCatalyst
Continuous ATO
MITRE ATT&CK
Zero Trust
EO 14028
FedRAMP
Key Metrics
45%
Faster deployment cycles vs. traditional manual pipeline
12–18
Month ATO cycle eliminated — replaced by continuous, automated compliance
100%
AWS-native GenAI — zero external AI provider dependencies
Per Build
Threat model generation — not per year, not per quarter
Pipeline Stages
Source Control (CodeCatalyst)
SAST / SCA
Amazon Q Secure Code
Inspector v2
Bedrock Threat Model
Bedrock SSP Generation
GuardDuty
cATO Dashboard
Solution Brief
Case Study 07 · AI-Powered Grants Fraud Detection
AI-Powered Grants Fraud Detection & Risk Scoring Platform
A generative AI-enhanced risk scoring platform combining SageMaker XGBoost ML scoring with Amazon Bedrock audit narrative generation — purpose-built for federal grant oversight and aligned to OMB A-123, FRDA, and EO 14028.
Type
Solution Brief
AI Engine
Bedrock + SageMaker
XGBoost + Clarify
Compliance
OMB A-123 · FRDA
FedRAMP Aligned
Availability
Available Now
Problem
Federal, state, and local agencies collectively administer billions in grant funding annually. Traditional fraud detection — random sampling, manual audits, rule-based checks — is inadequate at scale. Risk is typically identified post-award, after funds have already been disbursed. Investigators require not just a risk score, but an understandable, defensible explanation of why a grant was flagged, grounded in the specific federal regulations that apply to that program.
Solution
- SageMaker XGBoost ML scoring: Supervised machine learning model trained on historical award data assigns a probabilistic fraud score (0.0–1.0) to every new application in real time.
- Amazon Bedrock audit narrative generation: For every high-risk flag, Bedrock auto-generates a plain-language audit narrative grounded in OMB A-123, FRDA, and program-specific regulations via RAG.
- SageMaker Clarify — Explainable AI: Per-prediction explainability outputs showing which features drove the risk score — satisfying EO 14028's mandate for transparent, explainable AI in federal decision-making.
- Amazon QuickSight dashboards: Real-time visibility for grant officers and program integrity teams — anomaly detection, risk distribution, and audit trail in a single view.
- Bedrock Knowledge Bases RAG: Regulatory context retrieval grounding every AI finding in the specific federal rules that apply — no black box outputs.
Amazon SageMaker XGBoost
SageMaker Clarify
Amazon Bedrock RAG
Amazon QuickSight
OMB A-123
FRDA Compliant
EO 14028 XAI
Platform Value
Pre-award
Risk identified before funds are disbursed — not after
Explained
Every AI flag includes a regulatory-grounded audit narrative
Compliant
OMB A-123 · FRDA · EO 14028 — all three satisfied simultaneously
Real-time
Continuous risk scoring and QuickSight dashboard visibility
"Investigators require not just a risk score, but an understandable, defensible explanation of why a grant was flagged — grounded in the specific federal regulations that apply."
— Krai Solutions Grants Fraud Detection Whitepaper
AI / ML Stack
SageMaker XGBoost
SageMaker Clarify
Amazon Bedrock
Bedrock Knowledge Bases
Amazon QuickSight
AWS Lambda
Amazon S3
Ready to put Krai's track record to work for your mission?
Nine years of continuous federal delivery. A production-proven AI platform. Multiple procurement vehicles — 8(a) sole source, GSA MAS, DoD SHIELD IDIQ. We're ready when your requirement is.