AI Humans ROI calculator
See the risk-adjusted NPV, ROI and payback of putting AI humans to work on your website, inside your software and at your events, using your own numbers.
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AI Humans ROI: a business case your CFO can sign
An AI human that can see, speak, remember and explain in your customers' language is easy to demo. It is harder to defend in a budget meeting. This calculator builds that case the way a finance team would: from your own volumes and costs, with sourced benchmarks wherever you don't have a number yet, adjusted for risk and discounted to today's money.
Why most AI business cases fall apart in finance review
The track record is poor. MIT NANDA's 2025 study found 95% of organisations get no measurable P&L return from generative AI. IBM's 2025 CEO study found only 25% of AI initiatives delivered the ROI expected of them. Gartner predicted at least 30% of generative AI projects would be abandoned after proof of concept.
Business cases usually fail for the same four reasons:
- They count hours saved as cash, even when nobody's cost changes.
- They have no baseline, so nobody can prove the improvement afterwards.
- They assume full adoption on day one.
- They leave out usage costs, which grow with every conversation.
This calculator is built to avoid all four.
How the calculator works
It follows the conventions of Forrester's Total Economic Impact (TEI) method, which most CFOs already recognise.
- Annual value at full adoption. For each use case, the volume the AI human handles is multiplied by what that work costs you today.
- Ramp-up. Value builds month by month: over 6 months in the Expected case, 9 in Conservative and 4 in Optimistic. An AI transformation programme gets an extra 3 months to set a baseline and ship.
- Risk adjustment. Benefits are cut by 15% (Expected), 30% (Conservative) or 5% (Optimistic). All costs are raised by 5%.
- Discounting. Cash flows are discounted at your cost of capital. One-time costs in year 0 are not discounted.
- Outputs.
- NPV = present value of benefits minus present value of costs.
- ROI = NPV divided by the present value of costs.
- Payback = the first month in which cumulative net cash turns positive.
- Capacity, reported separately. Freed staff hours are shown as full-time equivalents, not added to the cash figures. Capacity only becomes cash when you redeploy it or avoid a hire.
What each use case counts
| Use case | Value counted | Default benchmark |
|---|---|---|
| Customer support & IT helpdesk (with screen share) | Contacts resolved without a human × your cost per contact | $7.20 per US live call (ContactBabel 2026); $20.61 per L1 IT ticket (MetricNet 2023); 14% of issues fully resolved in self-service today (Gartner 2024) |
| Corporate training & onboarding | Training hours the AI trainer delivers × cost per hour, plus productive time recovered from faster ramp-up | 13.7 formal hours per employee and $123 per learning hour (ATD) |
| AI tutor & interactive classroom | Tutoring hours delivered × the hourly rate of human tutoring | $35–60 per hour (Wyzant 2025). Tutoring raises achievement by 0.37 SD across 96 randomised trials (NBER). |
| Medical & patient assistant | Clinical staff time returned, plus visits recovered from fewer no-shows | RN median $45/hr (BLS 2024); 23% average no-show rate (Dantas et al., 2018) |
| Sales & product demos | Sales-engineer hours freed, plus gross profit (not revenue) from faster lead response | Sales engineer median $121,520 (BLS 2024). Leads contacted within an hour are 7x likelier to qualify (HBR). |
| Events, kiosks & front desk | Staff hours covered, plus the cost of the extra qualified leads captured | $40–53/hr for brand ambassadors (Event Marketer); about $142 per trade-show lead (CEIR) |
| Learning & knowledge content | Build hours saved by prompt-to-course, deck, quiz and video generation, plus external production spend brought in-house | Training specialist median $31.66/hr (BLS 2024) |
| AI transformation with Coventa | Run-rate cost take-out and gross-profit gains, measured against a frozen baseline | Your own baseline |
What you pay for
- Cloud SaaS.
- A per-minute usage charge for every conversation the AI human handles, including ones it hands to a person.
- A platform subscription.
- One-time setup of your avatars, knowledge base and integrations.
- On-premises or private cloud. An annual licence plus your own GPU and hosting costs, with no per-minute charges. This suits high volumes and strict data-residency rules.
- Kiosks, holoboxes and robots. One-time hardware cost per unit.
- Coventa engagement. Coventa (coventa.ai) offers three models: forward-deployed engineers on Coventa's payroll, hire-and-manage, and build-operate-transfer. Scaled work can be priced on verified outcomes rather than per head.
- Your own rollout. Staff time to review content, train teams and launch.
Prices marked "indicative" in the calculator are placeholders. Replace them with your quote.
What the model leaves out on purpose
Some gains are real but hard to put a defensible price on, so the calculator leaves them out:
- Better learning outcomes and knowledge retention.
- 24/7, multilingual coverage you could not staff today.
- Higher customer engagement.
- Insight from evaluating every conversation against your own criteria.
- Reuse of the same AI human, memory and knowledge base across web, in-app and kiosk channels.
Treat these as upside, not as part of the case.
From result to approval
- Submit the Conservative case. If it still pays back, the decision gets easy.
- Replace the benchmarks with your own data. Two to four weeks of real volumes and handling times beats any industry average.
- Run a focused pilot. Pick one use case. Freeze the baseline, agree the success metric up front, and compare against human performance before you scale.
- Share one page. Show NPV, ROI, payback, the two assumptions that move the result most, and what the pilot costs. The shareable link gives your buying committee the same numbers you see.
Sources:
FAQ
Frequently-asked questions
How accurate is this calculator?
It is as accurate as the baseline you give it. Each default is a published benchmark (ContactBabel, Gartner, ATD, BLS, NBER and others, cited under each field), but your own volumes and costs will always beat an industry average. The method follows Forrester TEI conventions: benefits ramp up over time, are risk-adjusted down, costs are risk-adjusted up, and everything is discounted at your cost of capital.
Why is my result lower than the numbers vendors publish?
Vendor case studies report their best deployments. This calculator charges you for every AI conversation minute, including conversations that end up with a person. It also ramps adoption instead of assuming 100% on day one, and it counts gross profit rather than revenue. If a use case does not pay back here, it is worth knowing before you buy. The usual fixes are to route higher-volume work to the AI human, or to move to on-prem pricing at scale.
What if I don't know my numbers yet?
Leave the benchmark defaults in for a first read, then replace the two or three inputs that move the result most. Usually those are volume, the share the AI human handles, and the cost of today's alternative. Two to four weeks of real data is enough for a board-ready case.
How does cloud SaaS compare with on-premises?
Cloud SaaS has a low entry cost and you pay per conversation minute, so cost tracks usage. That is best for pilots and moderate volumes. On-premises or private cloud swaps per-minute charges for an annual licence plus your own hosting. It usually wins at high volumes, and wherever data must stay inside your environment. Switch the deployment option in step 1 to compare the two.
How soon will we see a return?
The payback figure shows the month in which cumulative net cash turns positive under your chosen scenario. Value builds over 4 to 9 months depending on the planning stance. AI transformation programmes allow an extra 3 months to set a baseline and ship. The fastest route to a real number is a focused pilot on one use case against a frozen baseline.
Does it work for healthcare, education and other regulated settings?
Yes. The medical assistant handles intake, preparation, education and follow-up, with clinicians kept in the loop for anything clinical. For regulated data, the on-premises option keeps conversations and knowledge bases inside your own environment. Review the compliance requirements for your jurisdiction with our team before you go live.
Where does Coventa fit in?
AI humans are often the first AI system an organisation puts in front of people. Coventa (coventa.ai) takes the work further, with an embedded team that re-engineers core processes using AI. Choose the AI transformation use case to model it. Coventa works on its own payroll, hire-and-manage or build-operate-transfer models, and can price scaled work on outcomes verified against a frozen baseline.
What does the calculator not count?
It leaves out several gains that are real but hard to price defensibly:
- learning outcomes and knowledge retention
- 24/7 multilingual coverage you could not staff today
- customer engagement
- conversation analytics
- reuse of the same AI human across web, in-app and kiosk channels
Freed staff time is shown as FTE capacity, not cash.
Can I share the results with my buying committee?
Yes. Once your results are shown, use "Copy shareable link". Anyone with the link sees the same inputs and results, without signing in. The year-by-year cash flow under the results card gives finance the detail it needs.