Know what an AI or automation project is worth before you build it
Most automation business cases start with the technology. Aigenrix starts with the economics of the process: what it costs today, what would change, what the change would cost and how the result will be measured. AI is recommended where it creates measurable economic value, and not where it does not.
30 minutes, free and without obligation. The purpose is to assess whether a Profit Recovery Sprint is justified.
Signs the business case is missing
- →Several AI or automation ideas are on the table, but none has a credible business case
- →A vendor's ROI estimate is the only number available
- →A pilot ran, but nobody can say whether it paid off
- →The plan is to automate a process nobody has measured
- →Expected savings are expressed in hours, not in money that changes the P&L
- →Leadership is asked to fund AI without a way to check the result later
Why automation ROI is easy to overstate
Hours are not euros
Automation saves time. Whether that becomes money depends on what happens to the released capacity.
The wrong process gets automated
Automating an inefficient process makes the inefficiency faster. The economics of the process come first.
Running costs get forgotten
Licences, human review, maintenance, security and change management belong in the return calculation too.
How we value an AI or automation opportunity
Process baseline
Volumes, handling time, cost and error rates of the process as it runs today.
Economic mechanism
Exactly how the change would create value: capacity released, revenue protected, errors avoided or cash collected sooner.
Total cost
Build, integration, licences, human review, security controls and ongoing operation.
Expected return
A range for the benefit, payback assumptions and sensitivity, clearly labelled as a projection.
Risk and governance
What the system will be allowed to access and decide, and what happens when it is wrong.
Alternatives
Whether a simpler fix (process, policy or existing tools) delivers most of the value for less.
What we work from
- →Current process volumes and handling times
- →Cost of the people and tools involved today
- →Error, rework and escalation data
- →Vendor or build cost estimates
- →Data access and security constraints
- →The criteria leadership will use to fund or stop the project
A projected return stays a projection. Realized value is measured only after launch, against the agreed baseline.
What you receive
- →A ranked list of automation candidates by economic value, cost and risk
- →An investment case for the strongest: expected benefit range, total cost and payback assumptions
- →The non-AI alternatives considered, and why they were or were not preferred
- →Go / stop criteria for a pilot where uncertainty is material
- →The measurement plan used to confirm realized value
What we do not assume
- ✕That AI is needed. Many findings are fixed with a process, policy or pricing change.
- ✕That a vendor's ROI figure applies to your business
- ✕That released time automatically becomes savings
- ✕That a successful pilot proves the full-scale return
How the method works
Aigenrix detects signals of loss in your data, asks only for the evidence needed to test them, quantifies what can be defended, traces the business cause, designs the fix and, after implementation, measures the value actually realized. People decide wherever the data cannot.
Related case study: How Sermed Clinic released 25–35 administrative hours a week
Find out which automation is worth funding
In a 30-minute Profit Recovery Review we look at the processes you want to automate and decide together whether an investment case is worth building.
30 minutes, free and without obligation. The purpose is to assess whether a Profit Recovery Sprint is justified.