KriftAI Product

Document Intelligence & Intelligent Approval Routing

AI-powered document classification, risk flagging & governed workflow routing

AI Personas

Document Families

12+

Routing Criteria

100%

Auditable Output

Business Context

Manual document routing is slow, inconsistent, and ungoverned

Every enterprise processes thousands of documents daily — purchase orders, vendor contracts, compliance declarations, policy approvals. In most organizations, these documents are routed manually: an employee reads the document, judges its type and urgency, and forwards it to the appropriate approver. The process is slow, inconsistent, and entirely dependent on individual judgment.

The cost is measurable. Approval bottlenecks delay procurement cycles. Misrouted compliance documents create audit exposure. High-value contracts sit in generic inboxes while low-value invoices consume senior management attention. And when something goes wrong, there is no governed audit trail — only email chains and institutional memory.

Documents are classified manually — accuracy depends on the individual, not the system

Routing rules exist in people's heads, not in auditable logic — producing inconsistent outcomes

Threshold-based escalations (amount limits, compliance flags) are applied inconsistently or not at all

High-value and regulated documents receive the same handling as routine administrative paperwork

Audit trails are fragmented — compliance teams cannot reconstruct routing decisions after the fact

Exception handling and escalations are informal — no governed escalation path or SLA enforcement

The KriftAI Solution

Governed AI middleware for document triage

KriftAI's Document Intelligence & Approval Routing workspace replaces manual document triage with a governed AI middleware layer. Documents enter the workspace — whether scanned, uploaded, or received via email integration — and are immediately processed by a four-persona AI pipeline that classifies, scores, routes, reviews, and logs every document in a structured, auditable manner.

The workspace handles three document families: Invoices & Purchase Orders, Contracts & Agreements, and Compliance & Regulatory Forms. Routing decisions are driven by configurable criteria — financial thresholds, counterparty risk flags, missing field detection, regulatory triggers, and urgency signals — not by individual judgment.

What Makes This Governed AI — Not Generic AI

Every routing decision is traceable to a specific rule, criteria match, and confidence score

Personas operate within bounded roles — the Classifier does not route, the Router does not audit

No unstructured generation — all outputs follow defined schemas consumable by downstream systems

Configurable thresholds and routing rules are set by the organization, not inferred by the AI

Full audit log generated per document — decision chain is reconstructable at any point in time

Workspace Architecture

Four-persona pipeline

Each persona has a bounded, non-overlapping role. Documents flow sequentially through the pipeline — output from each persona becomes structured input to the next.

Document Classifier

Ingestion Layer — Type Detection & Field Extraction

▸Accepts documents in any format: scanned image (OCR), PDF, Word, email attachment

▸Classifies document into one of three families: Invoice/PO, Contract/Agreement, Compliance/Regulatory Form

▸Extracts structured fields: document date, counterparty name, total value, currency, reference numbers, signatory names

▸Detects missing or ambiguous fields and flags them as extraction gaps requiring human verification

▸Assigns a classification confidence score (0–100) — low-confidence documents are flagged for manual review

▸Outputs a structured Document Context Payload passed to the Routing Engine

Routing Engine

Decision Layer — Criteria Evaluation & Approval Path Assignment

▸Receives structured Document Context Payload from the Classifier

▸Evaluates document against the active routing rule set — 12+ configurable criteria across financial, legal, compliance, and operational dimensions

▸Assigns a routing tier: Standard Approval, Senior Review, Executive Escalation, or Compliance Hold

▸Identifies the specific criteria that triggered each routing decision — every outcome is explainable

▸Generates a Routing Summary delivered to the assigned approver: document type, key fields, risk flags, recommended action, and deadline

▸Supports parallel routing for documents requiring sign-off from multiple stakeholders simultaneously

Escalation Reviewer

Oversight Layer — Exception Handling & SLA Monitoring

▸Monitors active documents in the approval queue for SLA breach risk

▸Automatically escalates documents that have exceeded their approval window without action

▸Handles exception cases: documents rejected by a primary approver are re-routed with the rejection rationale attached

▸Flags documents where extracted data conflicts with counterparty records in connected systems (ERP, CRM, vendor master)

▸Produces an Escalation Report for operations managers — open items, SLA status, exception count by document family

▸Surfaces patterns in routing exceptions: recurring misclassifications, chronic approval bottlenecks, high-frequency escalation triggers

Audit Logger

Governance Layer — Decision Tracing & Compliance Evidence

▸Records every action taken on every document: classification, routing decision, approver assignment, escalations, final outcome

▸Structures the full decision chain as a tamper-evident audit log — each entry timestamped and linked to the triggering rule

▸Generates compliance evidence packages on demand: all documents processed within a date range, filtered by type, approver, or routing tier

▸Produces exception summaries for internal audit: documents that bypassed standard routing, overridden decisions, SLA breaches

▸Supports regulatory reporting requirements — log exports in structured formats compatible with GRC and ECM platforms

▸Retains full document processing history per the organization's configured retention policy

End-to-End Flow

Seven-stage document pipeline

Document Ingestion

Document arrives via upload, scan, or email. Classifier performs OCR if needed, then extracts structured fields and assigns a document family and confidence score.

Field Validation

Classifier checks for missing required fields. Gaps are flagged. Low-confidence classifications trigger a manual review hold before the document proceeds.

Criteria Evaluation

Routing Engine evaluates the Document Context Payload against all active routing rules — financial thresholds, counterparty flags, regulatory triggers, and operational signals.

Routing Decision

Routing Engine assigns an approval tier and identifies the specific approver or approver group. A structured Routing Summary is delivered to the assigned party.

Approval Workflow

Document enters the approver's queue with the KriftAI summary attached — type, key fields, flags, and recommended action. Approver acts: approve, reject, or defer.

Escalation Monitoring

Escalation Reviewer monitors queue. SLA breaches trigger automatic escalation. Rejections re-enter the routing pipeline with the rejection rationale appended.

Audit Logging

Audit Logger records the full decision chain at each step. On document closure, a complete processing record is written to the governance log.

Why KriftAI

Traditional routing vs. KriftAI

Traditional Document Routing

KriftAI Document Intelligence

✗Manual classification — accuracy varies by individual

✓Governed AI classification with confidence scoring and gap detection

✗Routing rules in people's heads — inconsistently applied

✓Configurable rule set applied uniformly to every document, every time

✗No real-time threshold enforcement

✓Financial, legal, and compliance thresholds evaluated at classification

✗Audit trail reconstructed from email and memory

✓Tamper-evident audit log written at every step — fully reconstructable

✗Escalations handled informally — no SLA enforcement

✓SLA monitoring with automatic escalation before breach occurs

✗Compliance evidence assembled manually pre-audit

✓On-demand compliance evidence packages generated by Audit Logger

✗No integration with ERP or vendor master

✓Real-time counterparty validation against connected enterprise systems

Governance & Integration

Enterprise-ready by design

Data Sovereignty

All document processing occurs within the organization's governed workspace. No document content is transmitted to external systems or retained outside the configured perimeter.

Configurable Rule Set

Routing thresholds, approval tiers, escalation paths, and SLA windows are defined by the organization — not hardcoded by the AI. Rules are versioned and auditable.

ECM / DMS Integration

Workspace connects to existing document management systems — processed documents and audit logs are written back to the source repository.

ERP & Vendor Master Sync

Routing Engine can query connected ERP or vendor master data to validate counterparty records and PO references in real time.

GRC Platform Export

Audit Logger outputs are structured for direct ingestion by GRC platforms — no manual re-entry of compliance evidence.

Role-Based Access

Approver assignments, routing rule configuration, and audit log access are governed by organizational role hierarchy — not open to all users.

Want document intelligence for your organization?

See how KriftAI's governed AI pipeline can replace manual document routing in your enterprise. We'll scope it to your document families, approval workflows, and compliance requirements.

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