AI readiness scorecard
A scored view across strategy, opportunities, workflows, data, technology, people, governance, risk, and delivery capability.
AI readiness assessment · South Africa
Know what your organisation needs before investing in AI
Our AI readiness assessment measures the capabilities, gaps, risks, and opportunities that determine whether AI can move from experimentation into useful, governed day-to-day work.
01Organisation-wide scorecard
02Business and technical assessment
03Prioritised adoption roadmap
The business case
Readiness is more than data and software
Successful AI adoption depends on aligned leadership, valuable use cases, workable processes, capable people, trustworthy data, suitable technology, and controls that match the risk.
- 01
AI initiatives compete for funding without common criteria for value, feasibility, risk, and strategic fit.
- 02
Teams buy tools or launch pilots before clarifying ownership, data boundaries, review requirements, and adoption responsibilities.
- 03
Leadership lacks a shared baseline for deciding what can start now and which foundations must be strengthened first.
What you receive
A decision-ready view of your AI maturity
The assessment gives leadership a common language, an evidence-based baseline, and a clear sequence for moving forward.
Leadership and team interviews
Evidence from decision-makers, technical owners, and the people responsible for day-to-day workflows and outcomes.
Capability gap analysis
Specific gaps that could slow adoption, weaken results, increase risk, or prevent promising pilots from scaling.
Opportunity portfolio
Potential use cases ranked by value, feasibility, urgency, risk, and organisational readiness.
Governance priorities
Immediate guidance for acceptable use, sensitive data, human review, accountability, vendor decisions, and measurement.
90-day and 12-month roadmap
A sequenced action plan covering quick wins, enablement, foundations, pilots, implementation, and operating capability.
How it works
A practical path to a measurable result.
Align on decisions
Define the strategic questions, business units, stakeholders, and investment decisions the assessment must support.
Gather evidence
Review current initiatives, systems, workflows, data conditions, policies, capabilities, and stakeholder perspectives.
Score and prioritise
Assess readiness dimensions and rank opportunities against expected value, feasibility, risk, and dependencies.
Set the roadmap
Agree on what to start, stop, strengthen, pilot, or scale, with clear ownership and measurement.
Frequently asked questions
Questions before you start.
What does an AI readiness assessment measure?
Our assessment evaluates strategy and leadership, use-case clarity, workflow maturity, data, technology and integration, workforce capability, governance, risk, and the organisation's ability to implement and measure change.
What do we receive at the end?
You receive a readiness scorecard, gap analysis, prioritised opportunity portfolio, risk findings, recommendations, and a sequenced roadmap that distinguishes immediate actions from longer-term foundations.
Is the assessment only for large enterprises?
No. The scope can be adapted for a business unit, public organisation, growing company, or enterprise. What matters is having a meaningful decision to make about AI adoption or investment.
Can Sulta Tech implement the roadmap?
Yes. We can support workforce enablement, workflow redesign, automation, integration, custom AI development, and ongoing operation. The roadmap remains useful even if another team performs the implementation.
Start with clarity