AI Readiness Audit (1 Week)

Elevate decision-making with a fast, structured AI Readiness Audit that identifies high-ROI use cases, validates data readiness, and delivers a clear roadmap to production pilots in days, not months. This one-week engagement assesses strategy, data, architecture, compliance, and change readiness to de-risk adoption and accelerate results.

What is an AI Readiness Audit?

ShipAI Technologies' AI Readiness Audit evaluates current capabilities across data, infrastructure, talent, compliance, and leadership alignment to determine where AI can reliably drive measurable business outcomes.

Comprehensive Assessment

Evaluate capabilities across data, infrastructure, talent, compliance, and leadership alignment.

Actionable Roadmap

Prioritized opportunity map, feasibility scoring, and a 90-day pilot plan tailored to budget, complexity, and expected ROI.

Who This Is For

Perfect for organizations at any stage of their AI journey

First-Time AI Explorers

  • • Organizations exploring AI for the first time
  • • SMBs and mid-market teams wanting quick, evidence-based recommendations
  • • Leaders needing a clear, low-risk plan to move from concept to pilot

Teams Needing Focus

  • • Teams with scattered experiments needing alignment
  • • Product and ops leaders requiring prioritized ROI roadmaps
  • • Technical teams wanting delivery-ready plans without months of discovery

What You Get (Deliverables)

Comprehensive assessment package designed for immediate action

Opportunity Portfolio

3–5 use cases prioritized by ROI, complexity, data readiness, and time-to-value.

Technical Feasibility Brief

Data sources, integrations, recommended models/services, and infra checklist.

Architecture Recommendations

Cloud, vector DBs, orchestration, monitoring, CI/CD for models.

Pilot Plan

Scope, KPIs, required data, resourcing, timeline, and compliance notes.

Executive Summary Deck

For stakeholder alignment and decision-making.

5 Assessment Dimensions

Comprehensive evaluation across all critical success factors

1

Business Impact & Executive Alignment

Outcomes, KPIs, constraints, and value hypotheses.

2

Data & Integration

Sources, quality, governance, security, and integration feasibility.

3

Technical Baseline

Infra, platforms, dev practices, and observability for AI/MLOps.

4

Compliance & Risk

Privacy, regulatory coverage, auditability, and model governance.

5

Talent & Change Readiness

Roles, upskilling, process adaptation, and adoption risks.

Week 1 Agenda

Structured 5-day process for comprehensive AI readiness assessment

Day 1–2

Discovery & Inventory

Intake interviews, systems and data inventory, KPI goals, and constraints.

Day 3–4

Analysis & Assessment

Feasibility scoring, risk assessment, and architecture options.

Day 5

Roadmap & Readout

Roadmap, pilot plan, and executive readout.

Example Use Cases We Identify

High-impact AI opportunities across industries and functions

Demand Forecasting

Predict demand patterns and optimize inventory management.

Document Intelligence

Process contracts, KYC documents, and invoices automatically.

Fraud Detection

Identify suspicious patterns and prevent fraudulent activities.

Support Automation

Automate customer support with intelligent chatbots.

Knowledge Assistants

Internal knowledge base search and retrieval systems.

Industry Paths

Logistics, supply chain, manufacturing, BFSI, healthcare, professional services.

Document-to-Knowledge RAG

Convert internal docs to a searchable knowledge base

Estimated Impact: 35% reduction in support time

RAG Chatbot for Customer Support

Ingest 3,000 docs, vector DB, LLM layer, simple UI

Acceptance: 80% correct answer rate on 50 test queries

Success Metrics

How we measure the effectiveness of your AI Readiness Audit

Strategic Clarity

  • • Clarity of priorities and feasibility
  • • Time-to-pilot reduction
  • • Stakeholder alignment
  • • Governance readiness

Defined KPIs

  • • SLA targets for pilot phase
  • • Accuracy benchmarks
  • • Coverage metrics
  • • Cost-to-serve optimization
  • • Time saved quantification

Frequently Asked Questions

How is pricing determined?

Tailored to scope and complexity; transparent after discovery. We provide clear pricing based on your specific needs and organizational complexity.

What if data isn't perfect?

We start with available documents, portals, and APIs, then define data uplift paths. Perfect data isn't required - we work with what you have and create improvement plans.

Can you work with our existing stack?

Yes—cloud-agnostic and tool-agnostic with clear integration patterns. We design solutions that work with your current infrastructure and tools.

Complete AI Journey

From assessment to pilot to operations - your complete AI transformation path

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Step 1: You Are Here

Start with a comprehensive assessment to identify your highest-ROI opportunities and create a strategic roadmap.

Current: AI Readiness Audit
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Step 2: Rapid AI Pilot

Transform your highest-priority use case into a working MVP in just 2-4 weeks with measurable KPIs.

Learn about Rapid AI Pilot

Step 3: AI Operations & Scaling

Scale your successful pilot into a reliable, enterprise-grade system with comprehensive AI operations.

Explore AI Operations

Ready to Start Your AI Readiness Audit?

Get a comprehensive AI readiness assessment and strategic roadmap in just one week. Book your free discovery call today.