Prove what your AI support agent is actually saving you.
Your team is using AI to deflect tickets, draft replies, and triage. Roiva connects token spend to ticket-level outcomes so you can put a real dollar number on it.
The problem
Most teams measure activity (tickets routed, suggestions accepted) — not deflected cost or hours saved.
Example initiatives
What teams are tracking with Roiva
A few of the initiative templates ready to deploy from the in-app library. Each ships with a default formula, baseline, and recommended integrations.
AI ticket deflection
Track tickets resolved by AI vs. routed to humans. Convert to cost-per-ticket savings.
AI-drafted replies
Measure agent time saved on first-response drafts. Roll up to weekly hours and dollars.
AI triage and routing
Compare time-to-first-response before and after; tie improvement to CSAT recovery.
Connects to
Pulls cost and value automatically
The integrations most relevant for Customer Support initiatives. Each syncs cost or value data so your dashboards stay current without spreadsheet maintenance.
Common questions
AI ROI for Customer Support — FAQ
How do I measure ROI from an AI customer support agent?
Roiva tracks tickets resolved by AI vs. routed to humans, multiplies the deflection volume by your cost-per-ticket, and offsets against token and software spend. Every dollar is traceable to a versioned formula and the underlying ticket data.
Which support platforms does Roiva integrate with?
Roiva integrates natively with Zendesk, Intercom, and Freshdesk for ticket and agent-time data, plus OpenAI and Anthropic for token cost tracking. See the full integrations catalogue for the complete list.
Can I track ROI for an AI tool I haven't deployed yet?
Yes — Roiva supports baseline-then-deploy tracking. Capture your current cost-per-ticket and resolution times, then start the initiative; Roiva compares post-deployment numbers against the saved baseline.
How does Roiva handle attribution when AI and human agents collaborate?
Roiva uses an audit-grade formula approach: you specify the attribution rule (e.g., AI-drafted replies count as a configurable percentage of agent time saved), and every output rolls up from explicit, versioned formulas you can change and re-run later.
See where AI is paying off in your business
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