KnackForge packages real, delivered AWS engagements, migrations, modernizations, and automations, into three ready-to-run solutions, built inside your own AWS environment.
Bring one application, cloud operation, or business process. KnackForge will match it to the closest solution below and lay out the path to production.
Recognized by AWS for delivery on real workloads
We take work already delivered on AWS, migrations, modernizations and automations, and package it into three solutions you can start from. Built in your AWS account, under your controls, with people kept at the points that need judgment.
Each one started as client work already delivered. They're packaged here as a repeatable starting point, not a one-off build.
Migrations, refactors, and modernization work, run to one standard instead of re-solved on every project.
Legacy applications and manual delivery pipelines slow every release.
A SaaS platform moved eight years of production data from MySQL to Aurora PostgreSQL using 8 parallel DMS tasks and a blue/green cutover. End users saw no interruption.
AWS: DMS · Aurora PostgreSQL · CodeDeploy
An AMI-based EC2 deployment moved to Amazon ECS with automated CI/CD. Rollbacks dropped from 30+ minutes to under 5, and the team saved 15 to 20 developer hours a week.
AWS: ECS · CodePipeline · CodeBuild · Lambda
Continuous visibility across an AWS estate, correlated into one view instead of three dashboards.
Cloud estates grow past what any one team can watch by hand.
Scheduled business-hours scaling, CPU-based autoscaling, and reader/writer databases took an education SaaS platform from about 6,000 concurrent users to 100,000+, with monthly AWS cost held within budget.
AWS: Auto Scaling · RDS
A multi-agent system detects, fixes, and tests container and serverless vulnerabilities, with human review before every merge.
AWS: Bedrock · Inspector · ECR · Lambda
Call review, document handling, and reporting, connected to existing systems with people kept at the approval points.
The slowest work in most organizations is not in any system.
AI document intelligence for a healthcare technology provider, turning scanned medical records into structured data with an audit-ready compliance posture.
AWS: Textract · Bedrock · Lambda · RDS
Every solution above runs inside your own AWS account, using the services its architecture calls for. Nothing here is a fixed bundle applied to every engagement.
Your AWS accountBuilt here, handed over to your teamOne application, one cloud operation, or one business process is enough to begin. KnackForge will scope the architecture and the path to production together.
Three ways to start, from one focused pilot to a governed program. Each has a clear outcome and a path into the next.
For validating one focused use case before broader rollout.
OutcomeProves value quickly, with a low-risk path to a larger engagement.
For a structured assessment and phased rollout.
OutcomeConverts strategy into production workloads with clear ownership.
For full-service delivery with governance and SLAs.
OutcomeScales into long-term operational ownership and AWS growth.
Answers to common questions about how KnackForge delivers AI solutions on AWS.
Write to us and a consultant will reply within one business day.
sales@knackforge.comThis is delivered by KnackForge as an implementation service built around AWS-native AI and automation. KnackForge designs and builds the solution around your use case and AWS environment.
Production workloads run in your AWS environment, under your security, identity, and governance controls.
No. It connects to the systems, data, and tools already in place, and adds AI reasoning, orchestration, and automation around them.
No. Defined rules handle predictable actions. AI is used where language, context, extraction, classification, or interpretation adds value, with people kept at the approval points that need judgment.
One application, cloud operation, or business process, with a clear problem, available data, and a measurable outcome.