Screenshot of the AI product billing and payments control portal interactive demo
Screenshot of the interactive demo, on sample data

AI product billing and payments control portal

Reduce billing tool sprawl while keeping revenue operations auditable.

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For
Teams selling AI and SaaS products that need to charge customers and run billing operations
Solves
Billing, payments, tax and usage metering are spread across several rented tools, so revenue operations are fragmented and hard to audit.
Delivers
Reviewed billing runs, invoices and revenue reports
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$14,500 for the MVP, $49,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce billing tool sprawl while keeping revenue operations auditable.

  1. Configure subscription billing.
  2. Meter usage-based billing from product events.
  3. Accept one-time payments.
  4. Track real-time usage metering.
  5. Manage prepaid wallets and credits.
  6. Combine hybrid pricing models.
  7. Support outcome-based pricing.
  8. Operate as Merchant of Record where selected.
  9. Apply global tax compliance.
  10. Generate automated invoicing.
  11. Bill in multiple currencies.
  12. Accept global payment methods.
  13. Generate payment links.
  14. Start collection without upfront KYC where permitted.
  15. Provide a customer dashboard.
  16. Provide a customer portal.
  17. Show revenue analytics.
  18. Trigger automated billing actions.
  19. Enforce feature access control.
  20. Connect AI agents via MCP or installable skills.
  21. Generate integration code from short instructions.
  22. Provide an editor integration.
  23. Support self-hosted deployment.
  24. Offer open-source architecture.
  25. Provide a no-code interface.
  26. Connect payment gateway integrations.
  27. Work with external payment processors without acting as Merchant of Record.
  28. Provide drop-in authentication.
  29. Allow unlimited dashboard seats.
  30. Export a versioned reviewed billing run with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Product usage events
  • Plan rules
  • Tax settings
  • Payment processor connections

AI drafts, people review. Operational coordination portal.

What the customer gets
  • Reviewed billing runs
  • Invoices
  • Revenue reports
02

How it works

The workflow

  1. In
    Start with

    Product usage events, plan rules, tax settings and payment processor connections

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect product usage events

  4. 3

    Plan rules

  5. 4

    Tax settings and payment processor connections

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed billing runs, invoices and revenue reports

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved payment processor set and one tax configuration; final tax filings and revenue recognition remain finance. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Billing setup and pricing rules, Usage and revenue operations, Customer accounts and portal. Use a thumbnail gallery for products and plans, a large central operations canvas for usage, invoices and payment states, and a right-hand panel for tax settings, processor connections and comments. Let users compare pricing versions side by side. Display draft, changes requested and approved states. Provide a customer portal link with billing and usage views. Make the task-specific outcome reviewed billing runs, invoices and revenue reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Customer-owned product usage events, authorized payment processors and permitted tax sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    6 days

    One buyer segment, one recurring use case; first modules: configure subscription billing; meter usage-based billing from product events. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    2 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will teams selling AI and SaaS products that need to charge customers and run billing operations use it to solve "billing, payments, tax and usage metering are spread across several rented tools, so revenue operations are fragmented and hard to audit"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted invoices per billing hour and billing corrections after close.
  4. Measure, then decide. Track accepted invoices per billing hour and billing corrections after close; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved payment processor set and one tax configuration; final tax filings and revenue recognition remain finance. Implement one approved input format, a bounded representative case set and the first two task modules: configure subscription billing; meter usage-based billing from product events. Support the third module with operator review: accept one-time payments. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed billing runs, invoices and revenue reports. Retain the explicit scope boundary: One approved payment processor set and one tax configuration; final tax filings and revenue recognition remain finance.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist billing QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved payment processor set and one tax configuration; final tax filings and revenue recognition remain finance.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: configure subscription billing; meter usage-based billing from product events. Manual review in the loop.

    $14,500 · about 6 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $14,500 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $20,500 · about 2 weeks of creation time

Indicative total, MVP to full product$49,500about 5 weeks of creation time · start with the MVP from $14,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$40–$90$70–$150
Full productabout 50 customers$110–$210$280–$560$390–$770
05

Run it or resell it

Internally

For your own team

Teams selling AI and SaaS products that need to charge customers and run billing operations run it inside the business: product usage events, plan rules, tax settings and payment processor connections in, reviewed billing runs, invoices and revenue reports out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#277391
  • accent#c96654
  • surface#e4edf1
  • ink#22201e
Headings
Archivo
Text
Lora
Voice
Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined billing package. Offer a monthly production allowance after repeat demand. Quote complex tax, multi-entity or specialist billing separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed billing run. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce billing tool sprawl while keeping revenue operations auditable. Demonstrate a concrete reviewed billing run using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Teams selling AI and SaaS products that need to charge customers and run billing operations professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed billing run from a small authorized input set, with a transparent calculation of accepted invoices per billing hour and billing corrections after close and no promised savings.

The first 30 days

  1. Week 1: interview five teams selling AI and SaaS products that need to charge customers and run billing operations and inspect a recent example of billing, payments, tax and usage metering spread across several rented tools.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted invoices per billing hour and billing corrections after close, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted invoices per billing hour and billing corrections after close. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted invoices per billing hour and billing corrections after close; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed billing runs, invoices and revenue reports. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved pricing rules, tax configurations and review examples, together with reliable delivery for a narrow billing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for teams selling AI and SaaS products that need to charge customers and run billing operations. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

tiun., Easybilling, Sentra by Dodo Payments, Skope, UniwebPay Skill and Flexprice. Compare this product with the buyer's present method on accepted invoices per billing hour and billing corrections after close. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, payment processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed billing runs, invoices and revenue reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve billing accuracy, source attribution, tax compliance and usage permissions. Finance approves substantive changes and filing scope. One approved payment processor set and one tax configuration; final tax filings and revenue recognition remain finance. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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