AMPGS® Intelligent Document Processing for Government
TEKsystems Global Services · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Government agencies process millions of critical documents—from benefit applications and court records to licenses and regulatory filings. AMPGS® Intelligent Document Processing (IDP) transforms paper-based workflows into streamlined digital operations, empowering agencies to serve citizens faster while reducing operational costs.
#### Benefits/Outcomes
Show the rest of the publisher’s description (12 more lines)
Modernize document-heavy processes to deliver services in days instead of weeks. Agencies implementing IDP achieved up to 80% reduction in administrative labor, faster citizen response times and improved data accuracy for better decision-making. Free your workforce from manual data entry to focus on mission-critical activities.
#### What’s Included
- Comprehensive assessment of document workflows and volume analysis
- Deployment of serverless IDP architecture on AWS GovCloud (when required)
- AI model configuration for your document types using Amazon Bedrock
- Natural language query interface for case workers
- Knowledge transfer workshops and operational runbooks
#### How It Works
TEKsystems Global Services (TGS) begins with discovery to map your document types, volumes and workflows. We deploy a serverless architecture using AWS Lambda, Amazon Textract for extraction, and Amazon Bedrock for intelligent processing. The solution uses Retrieval Augmented Generation (RAG) to enable natural language queries across multiple documents. Case workers ask questions in natural language and receive instant, contextual answers—transforming how they access information.
#### Why TEKsystems Global Services
As an AWS Premier Tier Services Partner with Government and Machine Learning Competencies, plus GovCloud Service Delivery designation, TGS brings proven expertise in secure, compliant implementations. We’ve helped state and federal agencies modernize document processing while maintaining strict security and privacy requirements.
Request a consultation through AWS Marketplace to accelerate your document modernization journey.
Highlights
Highlighted by the publisher on AWS Marketplace.
Up to 80% reduction in document processing labor through AI automation
Natural language search across millions of documents for instant insights
GovCloud-ready solution meeting federal security and compliance requirements
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-04
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

