Finance automation once separated document processing from procure-to-pay software. Nanonets vs Stampli now compares two platforms that can process invoices, apply finance rules, route exceptions, work with ERP data, and support downstream actions. However, they organize that work differently.
Nanonets uses Agents and Context Graphs to automate decisions across documents, policies, and existing systems. Stampli takes an ERP-aligned procure-to-pay approach, bringing requests, invoices, approvers, vendors, payments, cards, and finance activity into one connected working environment.
The buyer question is therefore where finance intelligence should operate and how much process ownership should move into the platform. We reviewed the capabilities of Nanonets and Stampli across document processing, coding, matching, approvals, vendors, reconciliation, payments, security, and pricing. We also examined how these differences affect real buyer priorities.
Nanonets vs Stampli at a Glance
| Comparison area | Nanonets | Stampli |
| Current positioning | Agent-based process automation | AI-powered procure-to-pay |
| Workflow model | Policy and context driven | ERP-aligned P2P |
| Document intelligence | OCR-3 and Agents | Stampli AI |
| PO matching | Rule and context driven | 2-way and 3-way matching |
| Approvals | Policy-driven routing | Collaborative workflows |
| Vendor workflows | Agent-led onboarding | Native Vendor Management |
| Payments | Payment-run workflows | Stampli Direct Pay |
| Reconciliation | Multi-source Reconciliation Agent | Payment and ERP reconciliation |
| Deployment | Cloud, private cloud, on-premises | Cloud |
| Pricing | Credit and block-run based | Quote-based |
Nanonets Overview

Nanonets is an agent-based automation platform built for business processes where documents, policies, and system data must be interpreted together before action is taken. Its current architecture combines Agents with Context Graphs, which store rules and dependencies that agents can apply across workflows.
OCR-3 handles document extraction, while human review remains available when confidence or business rules require intervention. Against Stampli, Nanonets is less centered on creating a shared P2P workspace for finance users. Its value is stronger where automation must operate across existing ERP, banking, payment, and document systems while applying organization-specific rules.
Nanonets Key Features
- Agents execute multi-step processes using documents, policies, and connected-system data
- Context Graphs store reusable business rules and dependencies with decision traceability
- OCR-3 extracts information from varied structured and unstructured business documents
- Accounts Payable Agent supports invoice intake, matching, GL coding, exceptions, approvals, and ERP posting
- Approval Routing Agent applies approval policies and escalates uncertain or delayed decisions
- Vendor Onboarding Agent supports vendor-document collection, verification, and activation workflows
- Reconciliation Agent matches bank, processor, and ERP records using custom rules
- Enterprise deployment supports private cloud, on-premises, regional residency, SSO, RBAC, audit logs, and SIEM integration
Nanonets Strengths
- Applies business policies and document context across several existing finance systems
- Handles varied documents without requiring a separate template for every layout
- Extends into reconciliation, supplier onboarding, cash application, and other finance processes
- Keeps agent decisions traceable to source information and applied rules
- Supports cloud, private-cloud, and on-premises enterprise architectures
Nanonets Limitations
- Starter supports only three users, while ERP integrations require higher plans
- Usage cost varies with workflow length, block complexity, and processing volume
- Advanced security and private deployment controls require Enterprise
- More complex workflows can require greater setup and configuration effort
- It does not provide Stampli’s native procurement, card, and P2P collaboration environment
Stampli Overview

Stampli is an AI-powered procure-to-pay platform built around keeping finance activity aligned with the ERP while giving users one place to manage the work surrounding transactions. Its platform connects Procurement, Accounts Payable, Vendor Management, Payments, Expense Management, and Stampli Card.
The Stampli Deep Finance extends the platform into executive spend analysis using finance and workflow data already inside Stampli. Against Nanonets, its stronger distinction is process coordination. It suits finance teams that want requests, approvers, vendors, invoices, payments, and ERP context managed inside one P2P environment.
Stampli Key Features
- Stampli AI supports ERP-aligned coding, routing, matching, exception handling, and field suggestions
- Accounts Payable centralizes invoice capture, coding, matching, approvals, conversations, and audit history
- Procurement supports requests, approval workflows, budget validation, POs, cards, and service tickets
- Vendor Management provides onboarding, portal access, messaging, and document compliance
- Stampli Direct Pay supports ACH, checks, virtual cards, and international payments across 100+ countries
- Stampli Card connects physical and virtual cards with existing P2P controls
- Stampli Deep Finance analyzes finance and AP data to surface spend patterns, risks, and opportunities
- ERP integrations keep the ERP as system of record while Stampli manages operational finance workflows
Stampli Strengths
- Keeps invoices, conversations, approvals, vendors, and payment activity connected
- Extends controls upstream through Procurement and Vendor Management
- Provides native domestic and international payment workflows
- Preserves ERP structures while adding a shared finance workspace
- Performs strongly for usability, invoice approvals, and initial implementation experience
Stampli Limitations
- Subscription pricing is quote-based, limiting direct entry-cost comparison
- Stampli is cloud-based and does not provide an on-premises application deployment
- Complex approval structures can make initial workflow configuration more time-consuming
- Search flexibility for some older invoice queries can be restrictive
- Its broader P2P scope may exceed the needs of teams primarily seeking agent-led automation across existing systems
Nanonets vs Stampli: Detailed Comparison
The comparison below focuses on where their operating models create meaningful differences for finance teams.
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Platform Architecture and Finance Operating Model
Nanonets: Nanonets uses Agents and Context Graphs to automate processes across documents and connected systems. Policies, tolerances, system data, and human decisions can influence what an agent does before validated information is posted downstream.
Stampli: Stampli operates as an ERP-connected procure-to-pay platform. Procurement, Accounts Payable, Vendor Management, Payments, Stampli Card, and related workflows sit around the ERP, which remains the system of record.
Verdict: Nanonets fits teams that want finance automation distributed across existing systems. Stampli is stronger when requests, invoices, vendors, approvals, and payments should operate within one shared P2P environment.
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Invoice Intake and Document Intelligence
Nanonets: The Accounts Payable Agent accepts invoices from email, PDFs, scans, EDI feeds, and other channels. OCR-3 extracts invoice information without maintaining vendor-specific templates, then sends the data into matching and validation.
Stampli: Stampli captures invoice data inside Accounts Payable and uses embedded Stampli AI to assist with coding, matching, routing, and finance fields while keeping the invoice connected to its ERP context.
Verdict: For teams comparing Nanonets vs Stampli because varied documents create heavy processing work, Nanonets offers greater document-interpretation depth. Stampli fits better when extraction should immediately enter a collaborative, ERP-aligned invoice workflow.
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GL Coding and Contextual Finance Rules
Nanonets: Coding decisions can use supplier terms, previous invoices, policies, tolerance tables, PO data, approval matrices, and other information stored or referenced through Context Graphs.
Stampli: Stampli AI applies ERP-structured finance context to invoice coding and field suggestions. The process remains tied closely to existing accounts, dimensions, vendors, entities, and ERP structures.
Verdict: Nanonets is more flexible when several policies and external sources shape the outcome. Stampli is stronger where coding should closely follow established ERP structures and finance practices.
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PO Matching and Discrepancy Resolution
Nanonets: The Accounts Payable Agent supports two-way and three-way matching across invoices, POs, and receipts. Context Graphs can also bring tolerance policies, credits, supplier communication, and other information into the exception decision.
Stampli: Stampli Cognitive AI for PO Matching supports two-way and three-way matching, including blanket POs, taxes, freight, and complex scenarios. Its AI Line-Level PO Matching flags discrepancies and can skip approval when configured tolerances are satisfied.
Verdict: In Stampli vs Nanonets PO matching and resolution decision, Nanonets has an advantage when matching depends on broader business context beyond transaction records. Stampli provides stronger P2P continuity when line-level matching, communication, approval, and ERP data need to remain together.
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Approval Workflows and Collaboration
Nanonets: The Approval Routing Agent reads approval policies and routes invoices according to amount, GL account, cost center, vendor, and other rules. It can notify users through Slack, Teams, or email and escalate delayed decisions.
Stampli: Predefined Approval Workflows can assign invoices based on invoice fields, while Stampli also supports dynamic approval routing. Documents, coding, vendor context, comments, and approval actions remain attached to the invoice record.
Verdict: Nanonets suits policy-led routing across systems, while Stampli offers deeper invoice-centered collaboration for finance teams and distributed approvers.
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Vendor Onboarding, Communication, and Compliance
Nanonets: The Vendor Onboarding Agent reads W-9 and W-8 forms, verifies tax and banking information, parses insurance records, performs sanctions screening, and can activate approved vendors in connected systems.
Stampli: Vendor Management combines onboarding, a self-service Vendor Portal, messaging, document compliance, contract context, and ERP-synced vendor records. Advanced Vendor Management adds deeper onboarding and compliance capabilities.
Verdict: For organizations evaluating Nanonets vs Stampli around vendor work, Nanonets is stronger for automated verification feeding existing systems. Stampli is better suited to ongoing vendor relationships that require self-service, communication, document tracking, and payable controls.
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Procurement and Pre-Invoice Controls
Nanonets: Nanonets can automate document- and policy-driven procurement processes, including validating requisitions or purchase documents against quotes and connected ERP information, but it does not provide the same packaged procurement workspace as Stampli.
Stampli: Stampli Procurement handles purchase requests, budget validation, configurable approval workflows, purchase orders, service tickets, cards, and receiving before invoices reach AP.
Verdict: The native coverage of Stampli is greater when it includes tracking spend before an invoice exists. Nanonets fits better when procurement automation needs to interpret documents and rules across systems already in place.
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Payments, Cards, and Expenses
Nanonets: Nanonets can carry approved invoices into payment-run workflows and post validated results into connected finance systems. Its emphasis remains on preparing and controlling the information rather than providing a comparable native card and payment ecosystem.
Stampli: Stampli Direct Pay supports ACH, checks, virtual cards, and international payments, while Stampli Card covers controlled card spending. Expense Management brings company-card expenses and employee reimbursements into finance review, coding, approval, and ERP handoff.
Verdict: Stampli offers substantially broader native scope when payment and employee-spend execution matter. Nanonets suits teams retaining existing payment and card infrastructure while automating the decisions that precede it.
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Reconciliation and Exception Resolution
Nanonets: The Reconciliation Agent matches bank feeds, processor exports, and ERP ledger data using one-to-one, one-to-many, and many-to-many logic. Unmatched transactions enter a review queue and reconciled batches can be posted back to accounting systems.
Stampli: Stampli connects reconciliation more closely to P2P activity. Direct Pay provides one-to-one payment reconciliation, while invoices, vendor records, payments, and ERP activity retain a shared audit trail.
Verdict: In a Stampli vs Nanonets reconciliation decision, Nanonets goes deeper across banks, processors, and ledger records. Stampli is stronger when exceptions and reconciliation should stay connected to invoices, vendors, and payments handled within the P2P workflow.
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ERP Integrations and System-of-Record Model
Nanonets: Nanonets can send validated results to systems including SAP, Oracle, NetSuite, Xero, and QuickBooks, with APIs and webhooks supporting additional connections. Its agents can work across systems without requiring one new platform to own the entire finance process.
Stampli: Stampli provides more than 70 ERP integrations through APIs, Bridge, and files. Bridge connects the cloud platform to supported on-premises ERPs while the ERP remains the financial system of record.
Verdict: Nanonets suits heterogeneous environments where automation crosses several applications. Stampli fits organizations that want a P2P working layer closely synchronized with an established ERP.
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Deployment, Security, and Governance
Nanonets: Enterprise deployment includes cloud, private cloud, VPC, single-tenant, and on-premises options, plus regional data residency. Controls include SSO, SCIM, RBAC, audit logs, SIEM integration, encryption, and configurable human approval gates.
Stampli: Stampli is cloud-based and connects to cloud or on-premises ERPs through its integration architecture. Its finance controls include role-based access, segregation of duties, transaction histories, approval controls, and auditability across purchasing and payment activity.
Verdict: Nanonets provides greater infrastructure flexibility for organizations with strict hosting requirements. Stampli fits teams that prefer managed cloud deployment with governance embedded directly into P2P transactions and approvals.
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Implementation, Pricing, and Ownership Cost
Nanonets: Starter provides initial credits and then costs $100 per month for 100 credits. Usage is billed through workflow blocks, while Growth and Enterprise use sales-led pricing. Total cost depends on processing volume, workflow length, AI-block complexity, integrations, and deployment requirements.
Stampli: Subscription pricing is quote-based. Accounts Payable includes onboarding, training, support, vendors, PO matching, reports, and dashboards, while Procurement, Direct Pay, Stampli Credit Card, and Advanced Vendor Management extend the package.
Verdict: For buyers comparing Nanonets vs Stampli on ownership cost, Nanonets exposes more of its usage mechanics but costs can rise with workflow complexity. Stampli hides its entry price, making total cost dependent on the P2P modules and operating scope required.
How Scry AI Compares in Nanonets vs Stampli

Scry AI fits workflows where invoice automation and collaboration still leave finance unable to determine which financial evidence is correct. It overlaps with Nanonets in document extraction, validation, exception handling, reconciliation, and system handoffs, and with Stampli in invoice processing, matching, approvals, and finance controls.
Its role differs in control-grade reconciliation across procurement and accounting evidence. Scry AI can compare invoices with POs, goods receipts, contracts, statements of work, vendor statements, payment records, bank data, and ledgers. It then routes unresolved discrepancies for review before validated information returns to finance systems.
Nanonets vs Stampli vs Scry AI
| Requirement | Nanonets | Stampli | Scry AI |
| Platform breadth | Agent-based process automation | Procure-to-pay operations | Financial document and reconciliation workflows |
| Primary depth | Policy and context automation | ERP-aligned P2P execution | Evidence-led finance controls |
| Document intelligence | OCR-3 and Agents | Stampli AI | Context-based document interpretation |
| Validation | Policies and system context | ERP, PO, vendor, and approval controls | Procurement and accounting evidence checks |
| Reconciliation | Bank, processor, and ERP matching | Invoice and payment reconciliation | N-way financial reconciliation |
| Human review | Agent exception queues | Collaborative transaction review | Evidence-backed exception review |
| Workflow execution | Actions across connected systems | P2P execution around the ERP | Verified finance-system handoffs |
| Deployment | Cloud, private cloud, on-premises | Cloud | Cloud or on-premises |
| Best-fit buyer | Finance and automation teams | AP and procurement teams | Finance-control and reconciliation teams |
How to Choose Between Nanonets, Stampli, and Scry AI
The real difference appears when finance work slows down, whether at document interpretation, P2P coordination, or financial reconciliation. You should:
Choose Nanonets when
- Documents, policies, tolerances, and ERP data must jointly influence finance decisions
- Existing banking, ERP, payment, and accounting systems should remain central while automation works across them
- Reconciliation must cover bank feeds, payment processors, and general-ledger records
- Private cloud, VPC, or on-premises deployment is required alongside configurable enterprise controls
Choose Stampli when
- Procurement, invoices, vendors, approvals, payments, cards, and expenses should operate around one ERP-aligned workspace
- Finance teams need collaboration and transaction context to remain attached to invoices throughout review
- More than 70 ERP integrations and support for existing ERP structures reduce the need for custom integration work
- Quote-based pricing is justified by replacing several separate procurement, AP, vendor, and payment processes
Choose Scry AI when
- Finance teams need to reconcile invoices against POs, receipts, contracts, vendor statements, bank records, and ledgers before approving a payment or adjustment
- High-value exceptions require evidence from both procurement documents and accounting records, not just another approval rule or collaboration step
- Controllers and shared-services teams need verified, review-ready outputs before ERP posting, payment release, correction, or close
- The existing P2P or agent-automation stack should remain in place, while Scry AI adds deeper financial validation and reconciliation across complex records
Final Verdict: Nanonets vs Stampli
Nanonets and Stampli overlap across invoice processing, matching, approvals, vendor workflows, reconciliation, and ERP connectivity, but the surrounding operating models are different. Nanonets is stronger where finance teams need document intelligence, business policies, and system context to drive automation across an existing technology stack. Stampli offers greater depth where requests, invoices, approvers, vendors, procurement, payments, and ERP data should remain connected inside one environment.
Scry AI becomes relevant when the difficult part begins after those workflows identify an exception. It can reconcile invoices against procurement documents and wider accounting evidence, surface conflicting records, support human review, and return verified information to connected finance systems. The final choice therefore depends on document complexity, collaboration needs, procurement scope, integrations, deployment, governance, exception volume, and ownership cost.