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AI Readiness Assessment

AI Readiness Assessment for Kenyan Businesses

A structured review of your data, systems, and workflows that identifies which AI use cases are worth building first.

The Business Challenge

Most organisations start AI by buying a tool that nobody uses, or by automating a process that was already broken. Without a clear view of data quality, existing systems, and where time is genuinely lost, AI projects stall, cost more than planned, and are abandoned before they deliver value.

Scope of Service

Data readiness review across the systems you already use: spreadsheets, ERPNext, POS, CRM, accounting tools, and exported reports
Systems and integration audit covering APIs, file transfers, and manual re-keying between platforms
Workflow mapping that identifies repetitive, high-volume, rule-based steps suitable for AI assistance
Use-case shortlisting scored on business value, data availability, and delivery effort
Governance baseline covering data ownership, access control, and where human review must remain in the loop

Tangible Deliverables

Written readiness assessment report with findings scored against realistic adoption criteria
Prioritised AI use-case shortlist with recommended sequencing
Data and systems gap list detailing what must be fixed before automation
Risk, privacy, and compliance considerations for each shortlisted use case
A 90-day implementation roadmap with scope, dependencies, and indicative effort

Business Benefits

Reduce wasted AI spend by validating use cases before any build commitment
Know exactly which data and systems must be fixed before automation is dependable
Give leadership a defensible, sequenced plan instead of disconnected experiments
Establish responsible AI practices from the first project rather than retrofitting them later

Applicable Technologies

PythonPostgreSQLERPNextREST APIsCloudflare WorkersDocker
Dependencies & Exclusions
  • •The assessment does not include building or deploying an AI system, and quoted timelines exclude third-party platform approval delays
  • •Model accuracy, savings, and revenue impact are not guaranteed; findings are indicative and depend on data quality and process adherence
  • •Third-party data, API, and messaging gateway costs are billed directly to your account by the provider
Next Step

Request a free AI consultation to schedule a discovery session covering your systems, data, and candidate workflows.

Request a Free AI Consultation
Got Questions?

AI Readiness Assessment: Common Questions

Practical answers about scope, data requirements, timelines, and what this service does not include.

A typical assessment runs two to three weeks from the first discovery call. That includes system and data review, one or two stakeholder interviews, a use-case shortlist, and a findings workshop with your team.

Ready to Explore AI Readiness Assessment?

Start with a free consultation. We will review your systems, data, and workflows, and confirm whether this service fits your situation.

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