# AI Cost Calculator for Financial Services

> Source: https://ibl.ai/solutions/financial-services/ai-cost-calculator

85% Average Cost Reduction

## How Much Is Per-Seat AI Costing Your Firm?

See what your organization would save by switching from per-seat AI licensing to ibl.ai's usage-based model.

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### Your Setup

**Configure Your Institution**

Tell us about your current AI usage — we'll calculate your savings.

**Employees**

Total employees who would interact with AI tools across your organization.

User presets: 50 | 100 | 500 | 1,000 | 2,500 | 5,000 | 10,000

Slider range: 10 to 25,000

**Current AI Spend**

Select Vendor or Custom $/User

| Vendor | Plan | Per User/Month | Note |
|--------|------|---------------|------|
| Bloomberg GPT | Enterprise | $70 | Estimated |
| Kensho (S&P) | Enterprise | $60 | Estimated |
| AlphaSense | Enterprise | $50 | Estimated |
| OpenAI | ChatGPT Enterprise | $60 | Estimated |
| Microsoft | Copilot for M365 | $30 | |
| Anthropic | Claude Enterprise | $30 | Estimated |

**Deployment Preference**

- Cloud (SaaS) — Hosted by ibl.ai
- On-Premise — Your servers
- Hybrid — Best of both

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### Your Savings

**Projected Cost Comparison**

**Current Vendor** (Per-Seat)

Monthly and annual cost based on selected vendor's per-user rate multiplied by number of users.

**ibl.ai Pro or Enterprise** (Flat Rate)

- Self-serve: usage-based — about $1/user/month of typical LLM usage (~20 sessions, ~8K tokens each), prepaid credits, no per-seat fee. Unlimited agents, auto-recharge LLM.
- Enterprise: $50,000/year base + ~$1/user/month LLM usage (~20 sessions, ~8K tokens each). Full code ownership, deploy on your infra.

Enterprise pricing applies when deployment is On-Premise or Hybrid, or when users reach 5,000+.

**Annual Savings / Cost Reduction / Monthly Savings**

Calculated dynamically based on your inputs.

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### Comparison

**All Vendors Compared**

See how ibl.ai stacks up against every major financial AI platform at your scale.

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### Report

**Get Your Custom Savings Report**

Submit your details and we'll send a detailed breakdown with TCO analysis, migration timeline, and ROI projections.

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## How the AI Cost Calculator for Financial Services works

See what your financial institution would save by switching from per-seat AI to ibl.ai's usage-based, air-gapped platform — your data never leaves your servers.

The calculator totals your current annual AI spend by headcount, then compares it with ibl.ai's usage-based cost. Because you pay for actual usage instead of seats, your cost per user stays low as your team grows rather than climbing with every new seat.

It benchmarks Financial Services budgets against the per-seat plans teams compare most — Microsoft, OpenAI, Bloomberg, and S&P Global — alongside other tools you may already license.

You only need two inputs: your total headcount and the per-user price of the AI tools you license today. Pick a vendor from the list or enter a custom rate, choose a deployment model, and the projected savings update instantly.

The figures are planning estimates, not a quote. Per-seat costs use publicly listed vendor rates; the ibl.ai side reflects usage-based pricing — roughly $1 per user per month of typical LLM usage, with no per-seat fee. Your real number depends on usage and deployment.

### AI Cost Calculator FAQ

**How accurate is the AI cost calculator?**

It uses published per-seat vendor pricing and ibl.ai's usage-based pricing to produce a planning-grade estimate. For an exact figure tied to your Financial Services usage and deployment, request a custom savings report from the form on the page.

**What's included in ibl.ai's pricing?**

Unlimited users and agents, any-LLM flexibility, and full source-code and data ownership. Self-serve is usage-based — start free, then prepaid credits (about $1/user/month of typical LLM usage) with no per-seat fees; Enterprise covers on-premise or large deployments, with pilots from $15K.

**Can we deploy on our own servers?**

Yes. ibl.ai runs in our cloud, in your VPC, on-premise, or fully air-gapped — you own all the code and the data, so Financial Services workloads can stay entirely on your own infrastructure.

### Related resources

- [Financial Services AI solutions overview](/solutions/financial-services)
- [AI Readiness Assessment for Financial Services](/solutions/financial-services/ai-readiness-assessment)
- [ibl.ai usage-based pricing](/pricing)
- [ibl.ai Agentic OS platform](/product/agentic-os)
- [Build vs. Buy analysis](/build-vs-buy)
- [Talk to the ibl.ai team](/contact)

*[View on ibl.ai](https://ibl.ai/solutions/financial-services/ai-cost-calculator)*