AI Readiness Assessment for Businesses
We map your processes, score which ones are worth automating, estimate the payback and give you a prioritized plan.
What you get
- Process-by-Process Scoring
Every business process evaluated for AI readiness, rated on impact, feasibility, cost, and timeline.
- ROI Projection Per Opportunity
Hard numbers: estimated cost savings, time savings, and revenue impact for each automation opportunity.
- Quick Wins Identified
Which automations can you implement this month with immediate returns? We find the low-hanging fruit first.
- Technology Recommendations
Specific tools, platforms, and approaches recommended for each opportunity. No vendor-agnostic hand-waving.
- Risk Assessment
What could go wrong? Data privacy concerns, employee impact, customer experience risks, and regulatory considerations.
- Implementation Roadmap
Phased plan: quick wins first, powerful projects later. Realistic timelines and resource requirements.
How it works
- Step 1Discovery & Mapping
We interview key stakeholders, document processes, and map your current technology landscape.
- Step 2Opportunity Analysis
Each process evaluated against AI capabilities: what should be fully automated, partially automated, or AI-assisted.
- Step 3ROI Modeling
Cost-benefit analysis for each opportunity. Conservative, moderate, and optimistic projections.
- Step 4Roadmap Delivery
Prioritized implementation plan with specific recommendations, timelines, and success metrics.
Scope, methods and delivery
The problem we address
Every vendor says 'AI can transform your business.' But which processes? In what order? At what cost? Most companies either do nothing (paralyzed by options) or do the wrong thing (chatbot on the website when the real opportunity is in operations). Without a structured assessment, you're guessing.
Our approach
We interview your team, map your processes, and evaluate every workflow for automation potential. Each opportunity is scored on implementation difficulty, expected ROI, risk level, and business impact. You get a prioritized roadmap that starts with quick wins and builds toward powerful changes.
Watch for the vendor pitch in AI strategy
An assessment from a firm that also resells or implements software can lean toward that software. Before you buy one, ask what the firm earns from the tools it recommends, and whether its recommendations would change with a different vendor.
Real AI readiness has nothing to do with vendor selection in month one. It has to do with whether your data, processes, and people are positioned to extract value from the AI tooling that already exists.
What the assessment actually maps
The audit covers four layers, in order:
- Data layer — where information lives, what shape it's in, what you can and cannot legally use it for
- Process layer — which workflows have repetitive cognitive work AI handles well, vs. one-off judgment calls AI handles poorly
- People layer — which roles need AI augmentation, which need automation, which are protected from AI for liability or trust reasons
- Governance layer — how you sign off on AI outputs, what verification you require, where the human-in-the-loop actually sits vs. where it sits in theory
The deliverable
You get a 30-50 page assessment document covering:
- A current-state map of every place AI is already deployed (officially or shadow)
- A prioritized list of high-leverage AI opportunities scored on impact-vs-implementation-cost
- Process-level sketches of how each opportunity would work end-to-end, including data inputs, model selection criteria, output verification, and human review points
- A 12-month roadmap with phases — start with cheap, fast, low-risk wins to build organizational capability, then scale to harder use cases
- A candid "what NOT to do" section — specific AI initiatives that look attractive but routinely destroy value
Where this fits
AI readiness assessments fit companies that have heard the AI sales pitch from too many vendors and want an honest map before committing budget, and companies whose leadership is being pushed to "do something with AI" by their board.
They fit companies that piloted AI tools and saw mixed results — usually the issue is process and data, not the model.
They don't fit AI-native companies (Cursor, Lovable, agent platforms) — those operate on different assumptions and need a different kind of audit.
AI Readiness Assessment questions
What is an AI readiness assessment?
How much does an AI readiness assessment cost?
Is this just a sales pitch for your AI services?
What's the typical ROI from implementing the recommendations?
We've already started using AI tools. Can you assess what we have?
How long does the assessment take?
Stop guessing about AI
We map every automation opportunity in your business and tell you exactly where to start, what it costs, and what the ROI looks like.