Orion Data Services
Prepare for AI 1–2 weeks

AI Data Readiness

Understand whether your data is ready for AI. Identify what needs to change. Get a clear roadmap for where to go next — before you invest in implementation.

The Problem

Wanting AI and being ready for it are different things.

Businesses increasingly want to use AI but often don't know whether their existing data and systems can support it. Data may be spread across different systems, reporting may be manual, documentation may be limited — making it difficult to know whether a planned AI initiative is even feasible, what needs to change first, and where to invest.

This assessment requires domain expertise in AI, which is why it's offered separately from the general Data & Reporting Audit — advisory here is tailored specifically to help you get the maximum benefit from AI.

Ideal Client

This is for you if your business...

Wants to introduce AI but doesn't know where to start.

Has a specific AI idea it wants to explore.

Is considering an internal AI assistant or chatbot.

Wants AI for forecasting, customer support, operations, or knowledge retrieval.

Wants to automate analysis using AI.

Wants a clear roadmap before investing in AI implementation.

How It Works

Every engagement starts with one AI goal.

A goal here is one specific AI use case you want to pursue — an AI assistant, automated customer support, demand forecasting, and so on — not "exploring AI" broadly. Orion assesses your data and systems only against what that one goal actually requires.

From there, Orion works through four steps to build your readiness roadmap:

1

Define the AI Goal

The goal determines what data, systems, processes, and capabilities need to be assessed.

2

Audit Current Capabilities

Data, structure, quality, accessibility, documentation, and relevant systems — focused only on what's relevant to your goal.

3

Identify What Needs to Change

Data gaps, quality issues, accessibility limitations, and AI implementation prerequisites.

4

Build the Roadmap

What needs to be done, what should be prioritised, and what's required to move toward AI implementation.

Examples of AI goals:

AI Business Assistant Customer Support Forecasting Business Analysis Knowledge Retrieval Operational AI

Deliverables

A clear picture of where you stand.

AI Data-Readiness Assessment

An overall view of how ready your data and systems are for your intended AI goal.

Current-State Assessment

A clear view of your existing data, systems, and capabilities relevant to the goal.

Data & Capability Map

An overview of the relevant data, systems, and processes available today.

Gap & Opportunity Assessment

Key gaps, limitations, and opportunities affecting your AI goal.

AI Readiness Recommendations

Specific, expert-tailored recommendations for closing the gaps identified.

Prioritized Action Plan

A prioritized set of actions based on relevance and potential impact.

AI Implementation Roadmap + 60-Minute Findings Session

A practical roadmap toward AI implementation, walked through together in a live session.

AI Data Readiness

1–2 weeks

KES 80,000 / USD 800

One clearly defined AI or business goal.

A focused assessment of whether your current data and systems can support a specific AI opportunity, plus a practical roadmap for becoming ready to implement it.

Additional goals can be assessed within the same engagement at a reduced rate — from KES 50,000 / USD 500 each. Where multiple goals substantially expand the scope, we may recommend a separate engagement.

Book This Assessment

Don't have a specific AI goal yet?

Start broader with the Data & Reporting Audit →