Baseline cost
Current hours, handoffs, error rates, cycle time, tool cost, and management overhead tied to the target workflow.
AI Economics
The first workflow should fund the next one.
Agentic AI only matters if it changes the operating model: lower manual effort, faster cycle time, better visibility, and measurable payback before you scale the program.
Where the savings usually show up
These are directional ranges for scoping conversations, not guaranteed outcomes. The real number comes from your baseline.
| Function | Potential Savings | Operating Result | Driver |
|---|---|---|---|
| Engineering & Product | 25-40% | Ship more with the same team | AI-assisted coding, automated testing, faster releases |
| Sales & Marketing | 20-35% | More qualified pipeline | Automated outbound, content generation, better targeting |
| Customer Support | 50-80% | Volume without headcount | AI handles Tier 1/2; humans handle retention and complex cases |
| Finance & Operations | 30-50% | Leaner G&A | Routine finance, HR ops, and legal review automation |
| AI Systems Investment | 2-3x planned spend | Modern stack | LLM access, agent platform, evals, data plumbing |
Engineering & Product
25-40%Ship more with the same team
AI-assisted coding, automated testing, faster releases
Sales & Marketing
20-35%More qualified pipeline
Automated outbound, content generation, better targeting
Customer Support
50-80%Volume without headcount
AI handles Tier 1/2; humans handle retention and complex cases
Finance & Operations
30-50%Leaner G&A
Routine finance, HR ops, and legal review automation
AI Systems Investment
2-3x planned spendModern stack
LLM access, agent platform, evals, data plumbing
What a CFO should want to see
A useful AI business case connects implementation spend to an operating metric leadership already cares about.
Build investment
Implementation scope, integration cost, model/tool spend, governance requirements, and operating support.
Payback signal
Hours removed, throughput gained, leakage reduced, revenue accelerated, or headcount avoided within the first 90 days.
Reinvestment Model
Use payback to fund the program.
The best AI programs do not start as open-ended transformation budgets. They start as a narrow operating improvement, prove payback, and use the released capacity to expand.
- Fund the next automation from the first workflow's savings
- Move staff time from coordination to client, product, and revenue work
- Create better operating data for leadership decisions
- Build an AI-native operating layer without adding a new enterprise platform first
Want to know if a 90-day build pencils out?
Start with the calculator, then bring us the workflow where the numbers look meaningful.