Table of Contents
Step 1 — Define Your Cost Baseline
Before you can calculate ROI, you need two numbers: what the process costs today, and what the agent costs to run. Most teams skip the baseline step and end up with unmeasurable results.
Current process cost inputs:
Hours per week spent on the task × fully-loaded hourly rate (salary + benefits + overhead, typically 1.4x base salary)
Error rate × average cost per error (rework time, lost deals, customer churn)
Opportunity cost — what your team could be doing instead
Agent operating cost inputs:
LLM token cost per run × average runs per month
API call costs (enrichment, LinkedIn, web search)
Platform fee allocation (Orbitype subscription / number of agents)
Setup and maintenance time (amortized over 12 months)
Step 2 — Calculate Efficiency ROI
Efficiency ROI is the simplest and fastest to prove. Use this formula:
Annual Efficiency Savings = (Hours Saved Per Week × 52 × Hourly Rate) + (Error Reduction × Annual Error Cost)
Efficiency ROI % = ((Annual Savings — Annual Agent Cost) / Annual Agent Cost) × 100
Example: An outreach agent saves 15 hours/week of manual prospecting and email writing. Fully-loaded hourly rate: CHF 80. Annual savings: 15 × 52 × 80 = CHF 62,400. Agent operating cost: CHF 4,800/year. Efficiency ROI: ((62,400 - 4,800) / 4,800) × 100 = 1,200% ROI.
This is why efficiency ROI alone almost always justifies AI agent deployment — the cost of running an agent is orders of magnitude lower than the human time it replaces.
Step 3 — Calculate Revenue ROI
Revenue ROI is harder to calculate but far more valuable to prove. It requires tracking agent-influenced pipeline from first touch to closed deal.
Revenue ROI Formula:
Incremental Revenue = (Agent-Sourced Meetings × Win Rate × ACV) + (Velocity Lift × Existing Pipeline Value × Win Rate)
Revenue ROI % = ((Incremental Revenue — Annual Agent Cost) / Annual Agent Cost) × 100
Example: An outreach agent books 8 additional meetings/month that would not have happened manually. Win rate: 20%. ACV: CHF 24,000. Monthly incremental revenue: 8 × 0.20 × 24,000 = CHF 38,400. Annual: CHF 460,800. Agent cost: CHF 4,800/year. Revenue ROI: 9,500%.
Even conservative assumptions produce extraordinary ROI numbers — because the agent cost is so low relative to the revenue it influences.
Step 4 — Build Your ROI Dashboard in Orbitype
A one-time ROI calculation is useful for budget approval. A live ROI dashboard is what keeps stakeholders aligned and agents funded long-term.
In Orbitype, your ROI dashboard queries your Postgres database directly — no exports, no manual updates. Every agent action is logged to the same database that powers your CRM, your pipeline, and your reporting. The dashboard reflects reality in real time.
Key widgets to include in your AI agent ROI dashboard:
Agent activity volume — messages sent, accounts researched, reports generated, this week vs. last week.
Pipeline influenced — meetings booked by agents, deals in pipeline with agent touchpoints, total pipeline value influenced.
Time saved — hours automated this month, cumulative hours saved since deployment.
Cost vs. value — monthly agent operating cost vs. monthly value delivered (efficiency savings + revenue attributed).
Cumulative ROI — running total of return since go-live, updated daily.
When your ROI is visible in real time, the conversation shifts from justifying AI spend to expanding it. Build your agentic GTM stack on Orbitype.
