Screenshot of the Evidence-backed finance close and reporting workspace interactive demo
Screenshot of the interactive demo, on sample data

Evidence-backed finance close and reporting workspace

Reduce close effort while keeping every figure traceable to its source.

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For
Finance leads and bookkeepers at small and mid-sized businesses
Solves
Bookkeeping, reconciliation and reporting are split across several rented tools, so the month-end close is slow and the numbers are hard to trace.
Delivers
Reviewed, source-linked financial statements and workpapers
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 close effort while keeping every figure traceable to its source.

  1. Extract and normalize data from invoices, receipts and contracts.
  2. Retrieve financial documents from email, messaging and billing portals.
  3. Categorize and classify transactions automatically.
  4. Reconcile records against the accounting system.
  5. Automate workpapers for prepaid expenses, fixed assets and subledgers.
  6. Extract contract terms with OCR.
  7. Support revenue recognition for reporting and compliance.
  8. Monitor FDIC coverage for compliance needs.
  9. Produce real-time financial statements and reports.
  10. Generate plain-language reports highlighting profits and savings opportunities.
  11. Build real-time financial models and startup metrics such as burn, runway and ARR.
  12. Answer finance questions and generate charts on demand.
  13. Accelerate the month-end close.
  14. Route exceptions and questions to a dedicated bookkeeper.
  15. Compare the reviewed result with the recorded baseline and value assumptions.
  16. Capture corrections and named-owner approval before consequential use.
  17. Export a versioned, source-linked close package with unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Bank feeds
  • Invoices
  • Receipts
  • Contracts
  • Accounting records
  • Prior-period statements

AI drafts, people review. Evidence-backed analysis and reporting workspace.

What the customer gets
  • Reviewed
  • Source-linked financial statements
  • Workpapers
02

How it works

The workflow

  1. In
    Start with

    Bank feeds, invoices, receipts, contracts, accounting records and prior-period statements

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect bank feeds

  4. 3

    Invoices

  5. 4

    Receipts

  6. 5

    Contracts and accounting records

  7. 6

    Then follow this sequence: 1

  8. Out
    Finish with

    Reviewed, source-linked financial statements and workpapers

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 accounting standard and one chart of accounts; final accounting judgments and sign-off remain with the finance lead or bookkeeper. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Data intake and source records, Review and reconciliation, Reports and close. Use a thumbnail gallery for periods and entities, a large central ledger and workpaper canvas, and a right-hand panel for source documents, matching evidence and comments. Let users compare draft and approved figures side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant figure. Make the task-specific outcome reviewed, source-linked financial statements and workpapers visible beside its evidence, review state and value baseline.

Accounts and administration

Entity ownership, document 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

Bank and card feeds, accounting systems, email and messaging, billing portals and document storage. Start with file exchange and validate destination specifications before promising direct posting. 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: extract and normalize data from invoices, receipts and contracts; retrieve financial documents from email, messaging and billing portals. 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

    3 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 finance leads and bookkeepers at small and mid-sized businesses use it to solve "bookkeeping, reconciliation and reporting are split across several rented tools, so the month-end close is slow and the numbers are hard to trace"?
  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: Close days per period and corrections after review.
  4. Measure, then decide. Track close days per period and corrections after review; 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 accounting standard and one chart of accounts; final accounting judgments and sign-off remain with the finance lead or bookkeeper. Implement one approved input format, a bounded representative case set and the first two task modules: extract and normalize data from invoices, receipts and contracts; retrieve financial documents from email, messaging and billing portals. Support the remaining modules with operator review: categorize and classify transactions automatically; reconcile records against the accounting system; automate workpapers for prepaid expenses, fixed assets and subledgers. 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, source-linked financial statements and workpapers. Retain the explicit scope boundary: One accounting standard and one chart of accounts; final accounting judgments and sign-off remain with the finance lead or bookkeeper.

What the build depends on. Document upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity accounting requires qualified review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One accounting standard and one chart of accounts; final accounting judgments and sign-off remain with the finance lead or bookkeeper.

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: extract and normalize data from invoices, receipts and contracts; retrieve financial documents from email, messaging and billing portals. 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 3 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$50–$100$80–$160$130–$260
Full productabout 50 customers$190–$380$880–$1,750$1,070–$2,130
05

Run it or resell it

Internally

For your own team

Finance leads and bookkeepers at small and mid-sized businesses run it inside the business: bank feeds, invoices, receipts, contracts, accounting records and prior-period statements in, reviewed, source-linked financial statements and workpapers 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#559127
  • accent#a054c9
  • surface#eaf1e4
  • ink#22201e
Headings
Manrope
Text
Manrope
Voice
Exact, sober, trustworthy
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 accounting period. Offer a monthly production allowance after repeat demand. Quote complex multi-entity or specialist compliance work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed, source-linked financial statements and workpapers. 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 close effort while keeping every figure traceable to its source. Demonstrate a concrete reviewed, source-linked financial statements and workpapers using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Finance leads and bookkeepers at small and mid-sized businesses professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed, source-linked financial statements and workpapers from a small authorized input set, with a transparent calculation of close days per period and corrections after review and no promised savings.

The first 30 days

  1. Week 1: interview five finance leads and bookkeepers at small and mid-sized businesses and inspect a recent example of bookkeeping, reconciliation and reporting split across several rented tools, so the month-end close is slow and the numbers are hard to trace.
  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 close days per period and corrections after review, 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: Close days per period and corrections after review. 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

Close days per period and corrections after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed, source-linked financial statements and workpapers. 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 mappings, reconciliation rules and review examples, together with reliable delivery for a narrow finance niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for finance leads and bookkeepers at small and mid-sized businesses. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Truewind, Harriet.ai, Kick, Mesh, Well Intelligence and Brex 1-Click Accounting by Puzzle's API. Compare this product with the buyer's present method on close days per period and corrections after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, document processing, storage, reviewer hours, client revision rounds and licensed source data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed, source-linked financial statements and workpapers. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve source attribution, audit trail and access permissions. The finance lead or bookkeeper approves substantive changes and reporting scope. One accounting standard and one chart of accounts; final accounting judgments and sign-off remain with the finance lead or bookkeeper. 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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