Enterprise AI Assessment · AWS AI Services Competency Partner
You're already on AWS.
Are you getting AI into production?
EPI-USE has been delivering enterprise AI deployments for over a decade. We know where the gaps are — in strategy, data readiness, governance, and architecture — before the first line of code is written. This assessment finds yours.
Why EPI-USE
The partner that's been here before.
Most AI consultancies sell strategy. EPI-USE delivers production. There's a meaningful difference — and your CTO or CIO will feel it in the first conversation.
AWS AI Services CompetencyEPI-USE holds the AWS AI Services Competency — a designation AWS reserves for partners who have demonstrated verified expertise and proven customer outcomes in enterprise AI delivery. This is the credential that distinguishes partners who can accelerate production AI on AWS from those building their first deployment. |
Over a decade of enterprise AI deliveryWe've been building enterprise AI systems for over ten years — long before it was a competitive differentiator. Our team works at the intersection of enterprise systems complexity and AWS-native AI — Amazon Bedrock, AgentCore, and Amazon Q — with the depth to know what works in production, not just in demos. |
Enterprise systems DNAAI doesn't exist in isolation. It lives inside ERP, finance, HR, supply chain, and compliance systems. EPI-USE's roots are in those systems — the data structures, governance requirements, and integration constraints that generic AI firms encounter mid-project. We plan for them from day one. |
Agentic AI — in productionWe build digital workers that handle complex, multi-step enterprise workflows autonomously. We know the difference between a use case that genuinely requires an agentic AI system and one that needs better process design. That judgment protects your investment — and it's built into every assessment we deliver. |
Industry Coverage
Real delivery experience across ten enterprise verticals — not claimed expertise.
Payroll & HCM Telecommunications Healthcare Finance Financial Services Logistics Information Technology Education Agriculture Public Sector
Proven Use Cases
AI we've deployed. Outcomes we've measured.
These are not reference architectures. These are use cases EPI-USE has built and delivered for enterprise clients — on Amazon Bedrock and AWS-native services.
| Use Case | What It Does | Measured Outcome |
|---|---|---|
| Finance Expert Agent | Anomaly detection, variance analysis, automated resolution, and multi-country compliance — deployed on Amazon Bedrock | Days → Hours |
| Multi-Agent Chat | Unified interface to enterprise systems via specialist agents — RAG, finance, legal — with smart routing and guardrails | 1 Interface |
| Propensity to Buy | Historical and demographic ML predicts purchase likelihood; personalized campaigns for high-propensity targets | +15% Conversion |
| Employee Retention | ML attrition prediction using satisfaction, performance, and tenure data with targeted interventions for at-risk staff | −15% Attrition |
| Inventory Forecasting | Seasonality-adjusted demand prediction and automated replenishment for consumer-packaged goods | −25% Inventory Cost |
| Client Churn Prediction | Identifies at-risk clients by behavior patterns with personalized retention campaigns and continuous ML refinement | +30% Retention |
| Equipment Support Agent | AI agent for field technicians — support tickets, manuals, image processing, web search, auto case creation | 180 → 10 Minutes |
| Code Migration Agent | Phase 1 analyses the codebase; Phase 2 reimplements in a modern stack — no version-by-version migration required | 10× Faster |
The Assessment
Four phases. 45 days. Production-ready decisions.
A structured, enterprise-grade engagement — not a workshop or a checklist. Every assessment covers four phases designed to evaluate the full conditions required for AI success in a large organization.
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01
Use Case Discovery & Prioritization
Business-first sessions with executive sponsors and process owners — identifying, scoring, and ranking AI opportunities by value and feasibility. We produce a shortlist of 3–5 use cases your organization can actually pursue. Deliverable Prioritized backlog + 1-year roadmap |
02
AI Readiness Assessment
Evaluation of your current-state data infrastructure, architecture, compliance posture, and organizational maturity — for each prioritized use case. An honest gap-to-action analysis with recommended investments. Deliverable Readiness report + gap analysis |
03
AWS Fit Validation
Hands-on evaluation of Amazon Bedrock AgentCore and Amazon Q against your specific use cases. Performance benchmarking, cost estimation, capability alignment scoring. Feasibility confirmed — not assumed. Deliverable Architecture recommendation + cost estimate |
04
Business Case Creation
Rigorous ROI modeling after technical feasibility is confirmed. Cost reduction, productivity gains, revenue opportunity, and competitive advantage quantified across a 2–3 year horizon. Delivered as a live executive readout. Deliverable ROI model + executive presentation |
5-Week Timeline
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Week 1
Kickoff & Scoping
Participant alignment, discovery prep, scheduling
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Week 2
Use Case Discovery
Executive workshops, value scoring, use case shortlist
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Week 3
Readiness Deep-Dive
Data, architecture, compliance, governance sessions
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Week 4
AWS Fit Validation
Bedrock AgentCore and/or Amazon Q evaluation and benchmarking
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Weeks 5–6
Business Case & Readout
ROI modeling and executive presentation delivered to leadership
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ELIGIBILITY
Built for established enterprises.
This assessment is co-funded through AWS's 2026 AI Assessment Funding program — an initiative designed to help enterprises accelerate AI from strategy to production on AWS services. This program is designed for enterprise organizations already on AWS with a clear appetite for AI transformation and the organizational complexity to match.
RIGHT FIT
Enterprises with an existing AWS footprint and real production data to work with
Organizations with clear AI intent that need a business case before committing budget
Leadership teams building internal consensus across business and IT stakeholders
Companies exploring agentic AI or AI modernization at enterprise scale
Finance, logistics, HCM, healthcare, telco, and technology organizations with complex data environments
GET STARTED
Your AI assessment starts here.
EPI-USE will confirm eligibility and scope the engagement directly. Assessment capacity is limited — slots are allocated on a first-confirmed basis.