Stop estimating your
support AI savings.
Start proving them.
Uprovd connects to your support platform, locks a pre-AI baseline, and delivers a confidence-scored ROI report in 30 days - using your actual agent costs, not benchmarks.
Your AI tools are running.
But can you prove they're working?
AHT reduction claims you can't verify
Your AI vendor says handling time dropped 20%. Your ops team says it feels faster. But neither number appears in the P&L.
No pre-AI baseline was captured
You deployed the AI tool and started measuring - but you have nothing to compare against. Without a baseline, every improvement claim is unverifiable.
CFO asks for proof at budget time
The December board review is coming. Your AI tools cost $4,800/month. The CFO wants dollar savings, not satisfaction scores.
Industry-specific KPIs.
Your cost inputs. No benchmarks.
From your data to a CFO-ready report
Connect your support stack
Link Zendesk, Freshdesk, Salesforce Service Cloud, or any ticketing system via API or CSV export. Read-only access - we never write to your systems.
Lock your pre-AI baseline
We capture or reconstruct 90 days of pre-AI performance - AHT, FCR, cost per ticket - as your verified reference point.
Measure with your numbers
Enter your actual agent cost, volume, and SLA targets. Every formula uses your inputs - not industry averages.
Deliver a confidence-scored report
A CFO-ready PDF in 30 days showing net ROI, payback period, and exactly which AI tools are earning their keep.
Exactly how we calculate your support AI ROI
Every number in your Uprovd report is traceable to a formula. Click any metric and see exactly how it was calculated - using your own cost inputs, not industry benchmarks.
See It LiveIllustrative example using realistic industry baselines. Real engagements use your actual numbers.
What an Uprovd engagement looks like
Illustrative example using realistic industry baselines - the same inputs as the free ROI calculator's example. Not a verified customer engagement - actual numbers vary by company.
A support team running an AI response-drafting tool can expect to identify which tools are earning their cost and which are running negative-ROI. The methodology applies the same regardless of company size or industry.
Apply to be the real case study →Go deeper on the data
Uprovd works across your entire operation
Frequently asked questions
How do you measure customer support AI ROI?
Uprovd locks a pre-AI baseline for your support org, then measures each AI tool against it on seven KPIs - Average Handling Time, ticket deflection, cost per ticket, First Contact Resolution, reopen rate, agent utilisation, and CSAT impact - and returns net ROI, payback period, and an honest 0–1 confidence score. Median net ROI across tracked customer-support deployments is 247%.
What is Ticket Deflection Rate and how is it measured?
Ticket Deflection Rate is the proportion of tickets fully resolved by AI (chatbot or self-serve) without any agent involvement. Uprovd measures it against your pre-AI baseline and cross-checks it against re-contact rate, so deflections that return later as escalations are flagged rather than counted as savings.
How is AHT reduction turned into a dollar saving?
Uprovd computes time saved as (pre-AI AHT − post-AI AHT), multiplies by monthly ticket volume for total agent-time saved, then by your actual loaded agent cost per minute. Net monthly saving = gross saving − AI tool cost. Worked example: 1.5 min/ticket saved × 20,000 tickets × $0.47/min loaded agent cost = $14,100 gross, minus $2,500 tool cost = $11,600 net (464% ROI, 0.87 confidence).
Which customer support AI tools can Uprovd measure?
Uprovd measures L1 chatbots, AI ticket classification, AI response drafting, AI summarization, and knowledge-base search - any tool with usage logs, connected via REST API or CSV export.
What data do you need to prove support AI ROI?
Uprovd captures or reconstructs 90 days of pre-AI baseline - tickets per day, AHT, first response time, tickets per agent, agent cost per hour, reopen rate, and tool cost - pulled read-only from Zendesk, Freshdesk, Zoho, Salesforce Service Cloud, or Jira. Where no log exists, manual agent tagging is the fallback. Access is read-only; Uprovd never writes to your systems.
What is First Contact Resolution and why does it matter for AI ROI?
First Contact Resolution (FCR) is the share of issues resolved on the first contact. Uprovd isolates AI's contribution to FCR so a rise in deflection that quietly lowers first-contact quality is caught - genuine resolution is credited, deferred work is not.
How long until we see a confidence-scored result?
For most customer-support deployments Uprovd delivers a CFO-ready, confidence-scored ROI report within 30 days of baseline lock, showing net ROI, payback period, and which AI tools are earning their cost.
Is Uprovd's support AI ROI number defensible to a CFO or board?
Yes. Every figure carries an honest 0–1 confidence score and is computed from your actual agent costs and ticket volumes against a locked baseline - not industry averages - so it stands up to finance scrutiny and audit-committee review.
Ready to prove your AI ROI?
Confidence-scored results. No consultant required.