In 45 days, we find where AI fits, test your readiness, and give leadership a business case it can act on.
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Where ideas fall out:No shortlistReadiness gapsEnterprise systemsNo business caseNot aligned
Leaders see AI opportunities everywhere but lack a way to score and rank them by value and feasibility.
Data, architecture, compliance, and organizational maturity gaps surface mid-project instead of up front.
ERP, finance, HR, supply chain, and compliance systems bring data and integration constraints that slow delivery.
Leadership needs a defensible return on investment (ROI) before committing spend.
Business and IT leaders need a shared view before an AI program can move forward.
A structured engagement, not a workshop or a checklist. Each phase tests a condition your organization needs for AI to succeed at enterprise scale.
EPI‑USE holds the AWS AI Services Competency, which recognizes partners with validated expertise and client outcomes in AI delivery on AWS.
Our roots are in ERP, finance, HR, supply chain, and compliance systems, so we plan for data structures, governance, and integration constraints from day one.
We build digital workers for complex, multi-step workflows, and we tell you when a use case needs better process design instead of an agent.
Use cases EPI‑USE has built and delivered for enterprise clients on Amazon Bedrock and other AWS-native services.
Days to hours
Anomaly detection, variance analysis, automated resolution, and multi-country compliance on Amazon Bedrock.
1 interface
One interface to enterprise systems through specialist agents for retrieval-augmented generation (RAG), finance, and legal, with smart routing and guardrails.
180 to 10 minutes
AI agent for field technicians covering support tickets, manuals, image processing, web search, and automatic case creation.
10x faster
Analyzes the codebase, then reimplements it in a modern stack without version-by-version migration.
+15% conversion
Machine learning (ML) on historical and demographic data predicts purchase likelihood for personalized campaigns.
15% lower attrition
ML attrition prediction using satisfaction, performance, and tenure data, with targeted interventions.
25% lower inventory cost
Seasonality-adjusted demand prediction and automated replenishment for consumer packaged goods.
+30% retention
Identifies at-risk clients by behavior pattern and triggers personalized retention campaigns.
Zero unplanned outages Truelio strengthens security, compliance, and cost efficiency with AWS Managed Services from EPI‑USE, with zero unplanned outages since go-live and 10% of engineering time redirected to innovation.
Read the Truelio story75% faster deployments Evosus accelerates deployments by 75% to support 3x more clients with EPI‑USE and AWS.
Read the Evosus storyHow EPI‑USE takes clients from generative to agentic AI on AWS.
Explore AI solutions AssessmentCheck your AWS foundation against the AWS Well-Architected Framework before you scale AI.
Explore the review AssessmentTest an idea on AWS before you commit to a full build.
Explore the Proof of Concept EPI-USE solutionKeep production AI workloads monitored and resilient around the clock.
Explore managed servicesEnterprises with an existing AWS footprint and real production data, clear AI intent, and the need for a business case before committing budget. It suits finance, logistics, HCM, healthcare, telecommunications, and technology organizations with complex data environments.
The assessment runs over about 45 days in four phases, from kickoff and scoping in week 1 to an executive readout in weeks 5 to 6.
The assessment is co-funded through the AWS 2026 AI Assessment Funding program. EPI‑USE confirms your eligibility and scope before you start.
A prioritized backlog and 1-year roadmap, a readiness report and gap analysis, an architecture recommendation and cost estimate, and an ROI model presented live to your leadership.
We evaluate Amazon Bedrock AgentCore and Amazon Q against your specific use cases, including performance benchmarking and cost estimation.
Yes. The assessment is designed for organizations that already run on AWS.
We typically respond within one business day, or email aws@epiuse.com.
