What this engagement is designed to achieve
The audit is the starting point for every serious Aimerix engagement. Instead of beginning with a tool demo, we begin with your business model, customer journey, workflows, data, team capacity and growth goals. The result is a practical opportunity map: what AI can improve now, what needs preparation, where the risks are, and which initiatives should be prioritised based on business value and implementation effort.

What Aimerix delivers
- Leadership discovery call and objective alignment
- Current-state process and customer-journey review
- AI opportunity inventory across sales, marketing, support, operations and analytics
- Data and system readiness check
- Risk, privacy and governance considerations
- Opportunity scoring by value, effort, dependency and risk
- 90-day action roadmap with recommended first initiatives
- Implementation options: internal, existing vendor, or Aimerix-managed delivery
What you should have in your hands—not just meetings.
Decision documentation
Written scope, assumptions, priorities, acceptance criteria, KPI definitions and agreed ownership so decisions do not live only in calls or chat threads.
Working assets
Where relevant: workflows, integrations, prompts, dashboards, test cases, SOPs, configuration notes, training material and implementation backlog.
Management visibility
A concise action register that shows what is live, what is being improved, open risks, dependencies and the next decision required from the client.
Technology is selected around the engagement—not the other way around.
Depending on your existing systems and the workstream, Aimerix may use the following categories of tools. Client-approved platforms and security policies always take precedence.
Why clients use this service
- Replace random AI experimentation with a prioritised plan.
- Identify quick wins without ignoring technical or operational dependencies.
- Avoid automating a broken process before it is redesigned.
- Give leadership a common language for value, cost, risk and ownership.
- Create measurable baseline KPIs before implementation begins.
How the engagement runs
Discovery
60–90 minute stakeholder call focused on goals, bottlenecks, systems and current AI usage.
Evidence review
We review representative workflows, tools, data sources, reports and customer touchpoints.
Opportunity mapping
Use cases are scored by potential value, effort, risk, dependency and readiness.
Roadmap delivery
You receive a written priority plan with recommended next steps and success metrics.
KPIs are defined against your baseline.
We avoid blanket claims such as “AI will save 50%.” Instead, the engagement establishes measurable indicators that match the work being changed. Examples include:
Before you engage
Can we use this service with our existing vendors or internal team?
Yes. Aimerix can act as the consulting and coordination layer while your internal team or existing specialists execute defined parts of the work.
Is the engagement remote?
Yes. Aimerix is remote-first and designs workshops, implementation reviews and training for international delivery.
Do you provide ongoing support after this service?
Yes. Where appropriate, clients can move into the AI Consulting Retainer for continued optimisation, vendor coordination and roadmap management.
