TRY YOUR ASSUMPTIONS
Business AI ROI calculator
Starting values are illustrative. All calculations happen in your browser; KODE does not receive or store your inputs.
ROI = (period capacity value − total period cost) ÷ total period cost × 100%
Time value represents working capacity, not proven cash savings. Actual costs and results depend on scope, quality, volume, and integration.
1. Choose a comparable task
Consider an operations team assembling recurring reports from spreadsheets. Record frequency, report volume, and time for gathering data, drafting, checking, and corrections. Compare outputs at the same quality and scope: a finished manual report is not equivalent to an unreviewed AI draft. Choose a period that includes common variations. Include both preparation and reviewer time, even when different people perform those steps. Agree what finished means with the process owner before the pilot.
2. Include review and correction time
A practical formula is recovered time = task volume × (manual time − AI-assisted time including review). Measure the whole workflow, rather than model response time alone. Include data copying, waiting, corrections, and cases returned to manual processing. Track a typical value and range so difficult tasks remain visible. Evaluate quality, completeness of references, and consequential errors alongside speed. Faster output with frequent mistakes does not establish a useful business benefit.
3. Separate capacity value from cash savings
Recovered hours may support more requests, faster reporting, or less overtime. An hourly labor-cost assumption can help compare capacity value with project costs. Fixed salaries do not automatically fall when one task becomes faster. Cash savings require a cost to actually decrease, such as overtime or an external service. If revenue is the objective, measure funnel changes and use an appropriate comparison. A sales increase alone does not establish that AI caused it.
4. Include the full cost
Separate one-time assessment, development, integration, testing, and training from recurring model, hosting, maintenance, and document-update costs. Include internal team effort where relevant. State the assumed users and task volume. Longer context, retries, and wider usage can change model costs. Period ROI = (total period benefit − total period cost) ÷ total period cost × 100%. Use the same period for benefits and costs, including recurring operations.
5. Illustrative example: reporting automation
This is neither a KODE client result nor a service price. Assume 100 reports a month, 90 minutes manually, and 30 minutes with AI including review. That recovers 100 hours monthly. At an assumed Rp100,000 per hour, capacity value is Rp10 million a month. With Rp3 million recurring costs and Rp30 million initial costs, monthly net capacity value is Rp7 million. Over 12 months, Rp120 million in capacity value against Rp66 million in total costs yields about 81.8% capacity-based ROI. Initial cost recovery is approximately 4.3 months if the assumptions hold. Cash savings remain unproven.
6. Test assumptions before expanding
Try conservative scenarios with lower volume, longer review, or higher recurring costs. Define quality requirements and an evaluator. OpenAI’s evaluation guidance supports task-specific and continuous quality assessment; it does not establish financial ROI. KODE can help map a process, baseline, pilot scope, and success measures. For an initial conversation, describe the task, frequency, and problem to improve. Confidential data is unnecessary.