See how the work is structured
Learn how we assess the process, business case, data security, and quality before development begins.
Explore the methodology →Expert guide
How to build the business case for an AI project
A practical model that covers the current process, implementation, ongoing operation, human review, and the cost of errors.
Calculate the baseline
Measure transaction volume, handling time, labor cost, error and rework rates, lost revenue, and any SLA penalties. Without a baseline, improvement cannot be demonstrated.
- Volume per period
- Time per operation
- Cost of participants
- Error and rework cost
Separate effect categories
Time saved, fewer errors, greater throughput, faster revenue, and lower risk must be calculated separately. Do not count the same freed capacity twice.
- Labor savings
- Quality improvement
- Additional capacity
- Risk reduction
Include total cost of ownership
TCO includes audit, development, integration, model calls, infrastructure, monitoring, human review, support, and future changes.
- Implementation
- Ongoing operations
- Quality control
- Support and future changes
Set pilot thresholds
Before development, define the minimum effect, maximum cost per operation, acceptable manual review rate, and unacceptable error classes.
- Continue
- Adjust
- Stop
- Scale
Choose your next step
Start at the stage that matches your situation
You do not need a detailed brief to begin.
Assess one business process
Determine whether the task calls for AI, rule-based automation, or a process redesign.
Assess a process →Share a defined task
Send the current process, constraints, and expected outcome, and we will suggest a practical first step.
Discuss your project →