Calculate Your AI Growth Potential
See how much revenue TAZI can help you protect, grow, win, defend, and serve. Five calculators below — pick the scenario that fits your institution.
Retention & Wallet-Share ROI
Estimate the revenue you can protect through predictive retention, plus the upside from wallet-share expansion.
Your Institution
Projections based on average TAZI client outcomes. Actual results may vary. ROI estimates include a platform cost estimate for illustration purposes.
How We Calculate Your ROI
Projections use the assumptions below — derived from observed outcomes across TAZI deployments in wealth management, banking, and credit unions.
Average save rate when the Attrition Prevention Agent surfaces at-risk clients early and advisors execute the recommended retention actions (personalized outreach, repricing, or advisor reassignment). This is the conversion rate we apply to clients flagged at risk.
Additional annual revenue per existing client from cross-sell and upsell opportunities surfaced by the Wallet Share Agent — modeled as 12% of current revenue per client across the active book.
Advisor outreach and follow-up time is assumed to be absorbed within existing operational capacity. No incremental campaign or marketing spend is added — only the TAZI platform cost is netted against savings in the ROI percentage.
$150,000 annual base + $1,200 per advisor per year, used only for the ROI percentage. Actual pricing depends on data volume, agents deployed, and integration scope.
- Clients at Risk = Clients × Annual Churn Rate
- Projected Clients Saved = Clients at Risk × 35%
- Projected Annual Savings = Projected Clients Saved × Avg Revenue per Client
- Cross-Sell Revenue = Clients × Avg Revenue per Client × 12%
- Total Projected Value = Annual Savings + Cross-Sell Revenue
- ROI = (Annual Savings − Platform Cost) ÷ Platform Cost
Wallet-Share & Cross-Sell ROI
Estimate the organic revenue you can unlock when GROW ranks every cross-sell opportunity, explains why each client is ready, and hands advisors the right offer at the right time.
Your Book
Assumptions (editable)
Share of the book where GROW surfaces a suitable next-best product.
Default ≈ 3.2× baseline, in line with cross-sell rate lifts observed across TAZI GROW deployments.
Auto-estimated: $150K base + $1,200 per advisor / year. Used only for the ROI percentage.
Projections are illustrative and based on the assumptions you enter — not a guarantee of results or a TAZI performance benchmark. The GROW Agent recommends; advisors and relationship managers decide and act.
How We Calculate Your GROW ROI
Two levers drive wallet-share growth: more of the right opportunities surfaced, and a higher share of them converted because advisors arrive with the reason and the offer.
Across TAZI GROW deployments, advisors convert cross-sell conversations at materially higher rates when opportunities are ranked by likelihood and impact and paired with a tailored "why." The default lifts adoption from 5% to 16%.
In a $10B retail & commercial bank deployment, the GROW Agent predicted which clients were ready for new products with 93% accuracy — focusing advisor time on conversations most likely to land.
Outreach and follow-up are assumed to fit within existing advisor capacity. No incremental campaign spend is added — only the TAZI platform cost is netted against value in the ROI percentage.
Top-performing GROW deployments have generated up to $1.8M in additional revenue per advisor. This calculator stays deliberately conservative — adjust the assumptions to model your own targets.
- Opportunities Identified = Clients × Opportunity Rate
- Adoptions Today = Opportunities × Adoption Rate Today
- Adoptions with TAZI = Opportunities × Adoption Rate with TAZI
- Additional Adoptions = Adoptions with TAZI − Adoptions Today
- Additional Cross-Sell Revenue = Additional Adoptions × Revenue per Additional Product
- Platform Cost = $150,000 + ($1,200 × Advisors)
- ROI = (Total Projected Value − Platform Cost) ÷ Platform Cost
If adoption-with-TAZI is set at or below today's adoption, additional revenue is treated as zero.
Client Acquisition ROI
Estimate the new-client revenue you can win when ACQUIRE builds behavioral lookalikes of your best clients — so acquisition spend lands on the prospects with the highest predicted lifetime value, and far fewer dead leads.
Your Acquisition Engine
Assumptions (editable)
Better-fit prospects convert at higher rates. TAZI clients have seen up to 4.7× their prior lead-to-client rate.
Spend redirected away from low-fit prospects through behavioral targeting.
Auto-estimated: $150K base + $1,200 per advisor / year. Used only for the ROI percentage.
Projections are illustrative and based on the assumptions you enter — not a guarantee of results or a TAZI performance benchmark. The ACQUIRE Agent prioritizes and explains; your team owns outreach and onboarding.
How We Calculate Your ACQUIRE ROI
Two value drivers: more new clients won by converting better-fit prospects, and less wasted spend when acquisition dollars chase look-alikes of your highest-value, lowest-churn clients instead of cold lists.
Behavioral ICP modeling builds lookalikes of your best clients, so outreach lands on prospects far more likely to convert. TAZI clients have seen up to a 4.7× improvement in lead-to-client conversion.
At a US financial institution, 32% of TAZI-generated leads turned into actual sales — the basis for the conversion uplift you can model above.
Time from first contact to account opening fell by 68% in deployment — capacity that lets the same team pursue more qualified prospects without added headcount.
Average annual value generated per advisory firm with the ACQUIRE Agent. This calculator models your own numbers rather than assuming a fixed figure.
- New Clients Today = Leads × Conversion Today
- New Clients with TAZI = Leads × Conversion with TAZI
- Additional New Clients = New Clients with TAZI − New Clients Today
- New-Client Revenue Gained = Additional New Clients × First-Year Revenue per Client
- Acquisition Spend Saved = Acquisition Spend × Wasted-Spend Reduction
- Total Projected Value = New-Client Revenue Gained + Acquisition Spend Saved
- Cost per Acquired Client = Acquisition Spend ÷ New Clients with TAZI
- Platform Cost = $150,000 + ($1,200 × Advisors)
- ROI = (Total Projected Value − Platform Cost) ÷ Platform Cost
If conversion-with-TAZI is set at or below today's conversion, new-client revenue is treated as zero.
Voice-of-Customer ROI
The VoC Agent predicts sentiment, topic, subtopic, and complaint severity from every customer call, chat, and email — then routes each case to the right action based on its subtopic and severity. Estimate the regulatory exposure you avoid, the analyst time you reclaim, and the revenue you protect.
Your Operation
Calls, chats, and emails analyzed by the agent.
Classification & Mix
L1+L2+L3 are normalized to 100%.
Regulatory Recovery
Default 24% — TAZI US-bank deployment.
Fines, remediation, escalation exposure.
Operational & Retention
Auto-classify, route, prioritize.
Action Routing — Severity × Subtopic
Each predicted case is routed by severity and subtopic. Edit cost-per-action and save-rate per severity — the blend feeds the ROI.
| Severity | Example Subtopic | Cost $ | Save % |
|---|---|---|---|
| L1 | Statement / fee question | ||
| L2 | Service delay / access issue | ||
| L3 | Mis-sold product / regulatory |
Auto-estimated: $150K base + $1,200 per analyst / year. Used only for the ROI percentage.
Projections are illustrative and based on the assumptions you enter — not a guarantee of results. The VoC Agent classifies and recommends; your team reviews and acts, with a human in the loop on consequential cases.
How We Calculate Your VoC ROI
Three value drivers: regulatory exposure avoided when mislabeled severe complaints are caught, operational savings when triage is automated, and revenue protected when at-risk customers are saved through timely action.
Catch Level-3 complaints originally mislabeled as lower severity — even when trigger words are present. TAZI's US-bank deployment caught 24% of mislabeled L3 cases, dramatically reducing exposure to fines and escalation.
Auto-classify, route, and prioritize complaints. Removing manual triage time releases analyst hours back to the work that matters — handling, resolution, and remediation of the most consequential cases.
Acting on the right cases first saves at-risk customers. The action-routing matrix maps severity × subtopic to action (email, call, call + offer) — the resulting save rate × revenue per customer is the retention value.
VoC predicts and recommends; analysts review and act on consequential cases. The calculator assumes existing analyst capacity is freed up — not removed — and that high-severity actions remain operator-approved.
- Complaints = Communications × Complaint Rate
- Level-3 Recovered = Complaints × %L3 × Mislabel-Caught Rate
- Regulatory Exposure Avoided = L3 Recovered × Cost per Missed L3
- Actionable Cases = Complaints × %Negative Sentiment
- Customers Saved = Σ (cases per severity × severity save %) over the routed at-risk set
- Revenue Protected = Customers Saved × Revenue per Customer
- Hours Reclaimed = Complaints × Handling min × Automation Cut ÷ 60
- Handling Cost Saved = Hours Reclaimed × Analyst $/hour
- Action Cost = Σ (actionable cases per severity × action cost)
- Total Value = Regulatory + Revenue Protected + Cost Saved − Action Cost
- Platform Cost = $150,000 + ($1,200 × Analysts)
- ROI = (Total Value − Platform Cost) ÷ Platform Cost
Account-Takeover Fraud ROI
Estimate the fraud loss you could prevent and the investigation time you could save by catching account takeover earlier — and cutting the noise.
Your Fraud Operation
Assumptions (editable)
Illustrative only. Actual pricing depends on data volume, agents deployed, and integration scope.
Projections are illustrative and based on the assumptions you enter above — not a guarantee of results, and not a TAZI performance benchmark. Account-takeover defense always keeps a human in the loop on consequential actions.
How We Calculate Your ATO ROI
Two value drivers: fraud loss prevented by catching more takeovers, and analyst time saved by cutting unnecessary investigations.
Raising the true-positive detection rate means more takeover attempts are stopped before they become a loss. The gap between today's detection and TAZI-assisted detection, times your average loss per incident, is the fraud prevented.
Fewer false positives means analysts stop reviewing legitimate transactions. The reduction in unnecessary investigations, times your cost per investigation, is the operational saving.
The model scores and explains; an analyst reviews and acts on consequential cases. The calculator assumes that review capacity is freed up — not removed.
A single editable figure is netted against value to produce the ROI percentage. Replace it with your quoted pricing for an accurate ROI.
- ATO Losses Today = Attempts × (1 − Detection Today) × Avg Loss
- Additional Caught = Attempts × (Detection TAZI − Detection Today)
- Fraud Loss Prevented = Additional Caught × Avg Loss
- Investigations Avoided = Alerts × Investigation Reduction
- Investigation Cost Saved = Investigations Avoided × Cost per Investigation
- Total Projected Value = Fraud Loss Prevented + Investigation Cost Saved
- ROI = (Total Value − Platform Cost) ÷ Platform Cost
If detection-with-TAZI is set at or below today's detection, fraud prevented is treated as zero.
Avg Churn Reduction
Across wealth management and banking clients
Avg Annual Savings
Revenue protected through predictive retention
To First Insight
From deployment to actionable predictions
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