Overview
The KnackForge GenAI Deployment & Integration Service enables enterprises to design, implement, and operationalize AI-driven automation, analytics, and conversational intelligence on AWS.
KnackForge applies AWS-certified expertise and the Well-Architected Framework to deliver secure, scalable, and production-ready GenAI solutions that integrate seamlessly with enterprise systems. The service empowers organizations across industries including healthcare, education, workforce management, and digital operations to accelerate their Generative AI adoption with measurable business outcomes.
Our engagement approach
Discovery & Design: Joint architecture workshops are conducted to identify key GenAI use cases, expected outcomes, and data governance requirements. KnackForge designs solution architectures that combine AWS Bedrock foundation models, Amazon ECS compute clusters, and managed data services such as Amazon RDS and DynamoDB to meet enterprise-grade performance and compliance needs.
Implementation: Deployment of scalable AWS-native AI pipelines that support multiple use cases including document automation, conversational analytics, and predictive insights. KnackForge leverages Amazon Bedrock foundation models such as Claude 3.5 and Nova Pro, integrated with AWS services like Textract for OCR and Lambda for event-driven orchestration. Backend components run on Amazon ECS, and data flows are managed through API Gateway and EventBridge for near real-time performance.
Integration: End-to-end integration with existing applications and third-party APIs using AWS-native services. Workflows are designed with API Gateway, EventBridge, and Lambda to ensure seamless communication and automation between AI models and business systems. Security and compliance are built into every stage using IAM least privilege, KMS encryption, and AWS Secrets Manager for credential management.
Enablement & Handover: After implementation, KnackForge conducts User Acceptance Testing (UAT) sessions, performance validation, and model accuracy tuning. The final handover includes operational runbooks, disaster recovery (DR) readiness, and rollback strategies to ensure long-term reliability and maintainability. Customers receive complete documentation and training for continuous AI governance and monitoring through CloudWatch and CloudTrail.
Customer benefits
- Speed: Accelerate time-to-market for GenAI initiatives using pre-built AWS reference architectures and reusable Infrastructure as Code (IaC) templates.
- Scalability: Deploy modular, serverless, and containerized architectures that scale automatically based on workload demand.
- Security & Compliance: Achieve strong data protection and compliance alignment with built-in AWS security guardrails such as IAM, KMS, CloudTrail, GuardDuty, and AWS Config.
- Operational Confidence: Gain continuous observability through CloudWatch and automated testing pipelines that ensure consistent performance and system resilience.
- Cost Efficiency: Optimize spending through serverless pay-per-use models and AWS Budgets and TCO-based visibility for ongoing cost control.
KnackForge’s team of AWS-certified professionals, including experts in Solutions Architecture, Machine Learning, Security, and Data Analytics, deliver audit-ready and FTR-compliant GenAI implementations. Each solution is designed to align with AWS Foundational Technical Review (FTR) best practices, ensuring secure, scalable, and compliant operations that accelerate enterprise AI transformation.
Highlights
- AWS-native GenAI deployment using Bedrock, Textract, Rekognition, Transcribe, Lex, Polly, and serverless orchestration.
- Accelerated transformation with pre-validated architecture patterns and reusable IaC modules.
- Strong security posture: IAM least privilege, KMS encryption, STS-based temporary credentials, GuardDuty, Config, CloudTrail.
Details
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Vendor support
Contact: sales@cloudifyops.comÂ
Availability: Business hours and engagement-defined SLAs.
Support scope: Pre-sales consultation, implementation assistance, post-deployment tuning, and knowledge transfer.