Custom AI agent · Finance
AI Receipt Processing Agent
Turn every receipt into usable, reviewable expense data.
Capture structured receipt data, preserve evidence, and route unclear records for review.
- Less manual entry from paper and digital receipts
- More consistent capture of merchant, amount, date, and tax details
- Clearer exceptions when a receipt is incomplete, unreadable, or unsupported
Starting at $300 USD/month
Starting price is $300 USD/month for a tailored solution. Your final proposal defines the scope, deliverables and payment terms. Additional integrations, usage, hosting and ongoing support are scoped and priced before work begins.
What is an AI receipt processing agent?
An AI receipt processing agent helps finance and operations teams turn receipts into structured, reviewable expense information. It accepts approved paper scans, photos, PDFs, email attachments, or digital receipts, extracts the fields your workflow needs, and preserves a link to the original evidence. It can identify missing or unclear merchant details, split items when the source supports it, flag possible duplicates, and route uncertain records for review. Tranki configures the agent around your receipt schema, privacy rules, expense policy, destination system, retention requirements, and confidence thresholds. It prepares reliable evidence for the next step without inventing a value or treating a receipt as proof of approval.
What it can capture
Capture receipt details
Extract approved fields such as merchant, date, total, currency, tax, payment method, location, line items, and reference information while keeping the original receipt available.
Normalize usable fields
Standardize dates, amounts, currencies, merchant names, and line-item formats according to the schema and regional conventions your workflow defines.
Flag quality and policy issues
Identify unreadable areas, missing totals, conflicting fields, duplicate indicators, unsupported formats, personal-spend signals, or receipts that need a human check.
Deliver structured evidence
Send the extracted record, source reference, confidence or issue flags, and reviewer actions to the approved expense, accounting, reimbursement, or archive workflow.
Where it can help
Employee expense submissions
Capture receipt details from employee uploads and attach the evidence to the expense record before a manager or finance reviewer checks it.
Corporate card receipts
Connect receipts to card transactions, surface missing documentation, and prepare consistent fields for coding and reconciliation.
Receipt archive preparation
Index historical or recurring receipts with searchable metadata and source references while keeping retention and access rules visible.
How it works
A step-by-step workflow your team can review before launch.
1. Define the receipt schema
Tranki maps required fields, regional formats, tax handling, line-item rules, confidence thresholds, privacy boundaries, retention, and the human owner for exceptions.
2. Receive approved evidence
The agent reads permitted uploads, attachments, scans, or digital receipts, records the source and file context, and leaves the original evidence unchanged.
3. Extract and validate
It captures the configured fields, checks completeness and consistency, and flags unreadable, missing, conflicting, or potentially duplicated information instead of guessing.
4. Route for use or review
A structured record moves to the approved expense, accounting, reimbursement, or archive workflow. A reviewer resolves exceptions before the data is relied on.
Built around your business
What we configure
- Receipt fields, line-item handling, tax and currency rules, merchant normalization, confidence thresholds, duplicate signals, and regional formats
- Upload channels, file types, reviewer queues, exception messages, privacy and redaction rules, retention, languages, and archive metadata
- Connections to approved expense, card, accounting, ERP, reimbursement, document, email, storage, or spreadsheet systems with least-privilege access
What we need from you
- A receipt field schema and policy for required evidence, tax treatment, personal spend, retention, and exception ownership
- Approved input and destination systems with permission boundaries, stable identifiers, supported file types, and source retention rules
- Representative clear, blurry, partial, handwritten, duplicate, multi-page, foreign-currency, and exception receipts for testing
Clear boundaries before launch
What it will not do
The agent does not invent missing values, approve an expense, determine fraud, guarantee tax treatment, alter the original receipt, expose private payment data, or treat a receipt as proof that a purchase was authorized or received. It should not infer a business purpose from a merchant alone or silently discard unreadable evidence. Sensitive, disputed, high-value, tax-sensitive, personal, or ambiguous records require the appropriate human reviewer.
How success is measured
Track field-level extraction accuracy, complete-receipt rate, reviewer correction rate, unreadable and exception volume, duplicate-signal quality, processing time, missing-receipt rate, source-reference coverage, manual entry avoided, and time to usable expense record. Review samples across formats, devices, merchants, and regions against the current schema.
Frequently asked questions
What does an AI receipt processing agent do?
It receives approved receipt files, extracts configured fields, preserves the source evidence, flags quality or policy issues, and routes a structured record for expense, accounting, reimbursement, or archive review.
Can it read photos and scanned receipts?
Yes, when the images or files are within the supported quality and format range. It should flag unclear or incomplete areas instead of filling them with an unsupported guess.
Can it extract line items and tax details?
The workflow can include line items, tax, currency, totals, and other fields when the receipt provides enough evidence and those fields are part of the configured schema.
Will it approve expenses or reimburse employees?
No. It prepares evidence and structured fields. Expense approval, reimbursement, tax decisions, and other consequential actions remain under the controls your organization defines.
How does it handle a receipt that is unreadable?
It flags the affected fields, preserves the original source, and routes a focused request for a clearer copy or human review rather than inventing a value.
Can it connect receipts to card transactions?
It can link receipts to approved card or expense records when stable identifiers and permitted context are available, while flagging ambiguous or potential duplicate matches.
What is included in the $300/month starting price?
The starting price covers a scoped, tailored solution. The final proposal defines the receipt workflow, integrations, usage, support, deliverables, and payment terms.
