Purpose of the audit
The audit translates the organisation’s needs into concrete decisions: which processes to bring artificial intelligence to, in what order, on what terms and with what expected result. It builds on the areas identified by teams during the competence stage.
As a result, implementation is grounded in facts, and the organisation invests where the return is highest.
Scope
The audit covers four dimensions of readiness and three elements that follow from them:
- organisational readiness — who will own the solutions and how to prepare the organisation to adopt them,
- technological readiness — the infrastructure on which the solutions will run and the resources the organisation already has,
- data readiness — the availability and quality of the data needed for specific applications,
- regulatory readiness — the legal requirements for the applications under consideration,
- a process map ordered by potential and risk,
- a baseline measurement for the processes selected for further work,
- an inventory of the AI tools the organisation already uses.
We most often work with document processes, finance back office and shared service centres, internal request handling, and reporting and data preparation for decision-making. We specialise in process types, so our experience transfers across industries.
AI tool inventory
The inventory gives the board a complete picture of the artificial intelligence tools employees use and the data that flows into them. This is valuable knowledge: it shows where teams already turn to AI for support today and where the organisation can provide that support in a secure, structured way.
The inventory also creates the first entries in the AI system register, which underpins AI governance and oversight.
Baseline measurement
We begin every implementation with a baseline measurement: process cycle time, effort per unit of output, the number of errors and escalations, and the unit cost of an operation. This reference point later allows the effect of the implementation to be demonstrated precisely.
Every project we run begins with measurement and ends with a demonstrated result.
A measurable result builds trust within the organisation and provides the rationale for the next steps.
Audit deliverables
The organisation receives:
- a process map with an assessment of potential, risk and data readiness,
- a baseline measurement for the processes worth starting with,
- an inventory of the AI tools used in the organisation,
- a recommendation for the first pilot, together with a business case.
The recommendations cover the full spectrum of solutions. For each area, we identify the most effective route: artificial intelligence, conventional automation, process improvement or an organisational decision.
The audit is a standalone service. Its results belong to the organisation and form the basis for further decisions, whoever carries out the next steps.
Our own analytical tools
Process analysis and requirements development are the most labour-intensive part of any project. They are supported by systems we have built ourselves on the basis of our implementation experience, including Automatic Workshop Analyser and REQLOOP. Automatic Workshop Analyser shortens process analysis from weeks to hours, and REQLOOP carries requirements from the conversation with the client through to a working solution.