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Customer Support Deflection and the capacity it frees
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AI ROI for Customer Support

Attribute what your AI support agents are actually delivering.

Roiva counts the tickets your AI agent actually resolved, prices the agent time it gave back, and sets the cash that reaches your budget against what the AI costs.

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The problem

Most teams measure activity (tickets routed, suggestions accepted) — not what the hours freed are worth, or how much of it became cash.

Worked example

One month of an AI support agent, line by line

Illustrative figures, not a customer's: a 60-agent team on Zendesk with an AI agent answering customers and AI-drafted replies for everything else.

  1. 1

    Count what the AI actually resolved

    A ticket counts when it's solved, it matches your deflection rule, and the customer doesn't reopen it or write in again within four days. The ones customers come back on are left out by ticket ID, with the ticket they came back in, and count as agent work.

    Tickets solved in June 42,000
    Matched your rule: solved by the AI agent and tagged ai-deflected 14,200
    Customer came back within 4 days −1,700
    Deflected, 30% of tickets solved 12,500
  2. 2

    Price the agent time each one gave back

    Before go-live, 14 agents timed 412 tickets in a time study. Its minutes × your loaded agent cost price each deflected ticket. The tickets an AI takes are often the simple ones; if yours are, set your own price per ticket, and it replaces the study's.

    Agent minutes per ticket, before go-live 8.4
    Loaded agent cost per hour $42
    Price per deflected ticket $5.88
    Freed capacity: 12,500 × $5.88 $73,500
  3. 3

    Price the minutes AI drafts saved on the rest

    Every ticket the AI didn't resolve is agent work, including the ones customers came back on. A second study after go-live timed agent minutes per ticket with AI drafts. Faster first responses mean customers waiting less, not agents working less, so they aren't priced.

    Tickets agents solved 29,500
    Agent minutes per ticket with AI drafts 7.1
    Minutes saved per ticket, at $42 an hour 1.3
    Freed capacity $26,845
  4. 4

    Count as cash only what a document shows

    Your team is paid the same either way, so freed capacity isn't cash. It becomes cash when a budget shows it: recorded for the month with the document cited, and never more than the capacity approved for that month.

    Freed capacity, steps 2 and 3 $100,345
    6 outsourced seats not renewed, contract cited $22,800
    Overtime down from $15,600 to $9,400, payroll report cited $6,200
    Cash value $29,000
  5. 5

    Set it against everything the AI costs

    The vendor billed 15,000 resolutions and 12,500 held up, so each deflected ticket cost $1.20, not $1.00. Help desk seats aren't counted: you pay for them either way.

    AI agent: 15,000 resolutions billed at $1.00, from the vendor's bill in your books $15,000
    AI drafting add-on: 60 agent seats $3,000
    Model usage for triage, from Anthropic's Admin API $1,850
    Support ops time tuning the agent: 75 hours × $42 $3,150
    Total cost $23,000
Cash value
$29,000
Cost
$23,000
Cash ROI
26%
Capacity not yet cash
$71,345
Beside the ROI, not in it

Priced as savings, the same month reads 336%. The difference is capacity no budget has shown yet.

None of it counts until a person approves the month, and each line keeps what it was counted from: the rule and ticket IDs, the time study and rate, or the cited document. How deflection value is booked →

What a reviewer sees in Roiva

Steps 1 and 2 as Roiva records them: one entry a month, synced from the help desk, with the rule it counted under, the price and the time study it came from, the tickets left out because the customer came back, and the ticket IDs to open in Zendesk. It waits in Approvals until a person signs it off.

A Roiva value entry for deflected tickets counted by the Zendesk sync: the rule, the tickets counted and the price of each, the tickets not counted because the customer reopened or wrote in again within 4 days, and the ticket IDs.
The month above as a deflection entry in Roiva's demo account, a fictional company.

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 its formulas and the integrations it reads, and takes its baseline from your own history where your systems hold it.

AI ticket deflection

Track tickets resolved by AI vs. routed to humans, priced as freed capacity at your cost per ticket, or at the agent minutes a time study of your own measured × your labor rate. Outsourced seats or overtime cut because of it count as cash, with the contract cited.

AI-drafted replies, triage and routing

Priced as agent capacity freed: the fall in agent minutes per ticket, from a time study your agents run in Roiva or your help desk's time tracking, × the tickets agents resolved × your labor rate, reported beside cash ROI rather than in it. Faster first responses and CSAT aren't priced.

AI quality assurance

The manual QA sampling AI review replaces: tickets × the share your analysts used to score × their minutes per review × their rate, as freed capacity. The QA tool's fee and the weeks calibrating it against human scores are costs.

Churn prevention

The fall in monthly churn × MRR from your billing system, at your contribution margin and only for the share of the change you credit to the AI. Roiva ships no default for either, and it counts as cash.

Connects to

Works with the systems you already run

The integrations most relevant to Customer Support initiatives, and what Roiva does with each one.

Zendesk

Tickets opened and solved, the tickets your AI agent resolved under the rule you set, booked as deflection, the tickets agents resolved, first-response and resolution times, and CSAT.

Intercom

The same, counted in conversations. You can also count only the conversations where the customer confirmed Fin's answer helped.

Freshdesk

Tickets opened and resolved, the tickets your AI agent resolved under your rule, the tickets agents resolved, and first-response and resolution times.

Salesforce

Messaging sessions an Agentforce agent or Einstein Bot handled with no person, booked as deflection, and cases opened and closed.

QuickBooks, NetSuite, Xero

Your AI agent vendor's bills, per-resolution fees included, booked to the initiative through a vendor mapping. No help desk connection books a cost.

OpenAI, Anthropic

API spend and tokens by model, for triage, drafting or an agent you built on their models.

See all 30+ AI ROI integrations

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 and multiplies the deflection volume by your cost per ticket, or, once you've run a time study of agent minutes per ticket, by those minutes at your labor rate in place of Roiva's default price. That is freed capacity: your support team is paid the same, so it is reported beside the ROI rather than in it. When the capacity becomes cash (outsourced seats not renewed, overtime that fell), you record it month by month, citing the contract or payroll report, and that cash is netted against token and software spend in the cash ROI. Each month's deflection figure keeps the deflection rule, the number of tickets it counted, the cost-per-ticket each was priced at, and a sample of the ticket IDs.
Which support platforms does Roiva integrate with?
Zendesk, Freshdesk, and Intercom, plus Salesforce for conversations an Agentforce agent handles. From each help desk, Roiva syncs the tickets opened and resolved (conversations, in Intercom), the tickets your AI agent resolved under the rule you set, which it books as deflection value, the tickets agents resolved, first-response time, and time to resolution. Zendesk and Intercom sync CSAT too. From Salesforce, Roiva reads Messaging sessions and books the ones the Agentforce agent or Einstein Bot you name handled without a person as deflection value. No help desk records how long an agent worked a ticket, so agent minutes per ticket come from a time study: agents time tickets in Roiva or through a link of their own, or you import your help desk's time-tracking export into one. They can also be entered by hand, imported, or read from your warehouse. Time to resolution counts the hours a ticket sat waiting, so it is never priced as agent time, and neither first-response time nor CSAT is priced at all. OpenAI and Anthropic sync token spend. See the full integrations catalog for the complete list.
Can I track ROI for an AI tool I haven't deployed yet?
Yes. Record the baseline first: agent minutes per ticket, from a time study before go-live or your help desk's time tracking, and have the initiative's measurement charter, which says what the AI gets credit for, signed before results arrive. Figures your help desk syncs take their baseline from the months before the initiative started, when it has them. After launch, each month is compared with that baseline, and nothing is reported until it's approved. The agent time it frees is reported as freed capacity, beside ROI rather than in it.
How does Roiva handle attribution when AI and human agents collaborate?
Each ticket is counted once. If your AI agent resolved it under your deflection rule and the customer didn't come back, it is deflection value, priced at your cost per ticket. If a person resolved it, even with an AI-drafted reply, it is agent work, valued by the fall in agent minutes per ticket. Tickets agents resolved are every resolved ticket no deflection rule matched, plus the ones a rule matched whose customer reopened them or wrote in again within the recontact window, so no ticket is booked both ways. Each calculated figure keeps its versioned formula and a snapshot of its inputs, so it can be checked and re-run later. The rule is written in the initiative's signed measurement charter, and a figure counted another way is marked as outside it. Roiva runs no experiments and makes no causal claim: it books the before-and-after arithmetic for a person to approve.

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Measure up to 5 initiatives at a time on your own data, list every idea you're weighing, and keep it all when you measure more. No card, no expiry.

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