For teams running
today
OCR brought your team out of manual entry. AI takes you the rest of the way.
OCR is template-based document automation, processed at scale. Tekst is what comes next: AI that understands meaning instead of matching characters, adapts to format changes natively, and runs inside the tools your team already uses.
One model across Order Processing, AP, AR, Claims, and Customer Inquiry.
Trusted by Fortune Global 500 corporations
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A new generation of automation
OCR was the right answer for its decade. AI is the right answer for today.
Template-based automation transformed back-office operations. It moved teams off paper, off manual entry, off rekeying. But the model has limits — every format change is a configuration project, every exception still needs a human, every team still works inside a separate system. AI doesn't have those limits. It learns from your data, adapts to new formats without templates, and runs in the background of the tools your team already uses.
From templates to learning models
Where the previous generation matched documents against predefined templates, AI models learn from your existing transactions and adapt as your suppliers, customers, and formats change. New
supplier PO format? The model handles it. No reconfiguration project, no professional services engagement.
From character matching to meaning
OCR reads what's on the page. AI understands what it means. Qty and Quantity. SKU plus EAN plus a free-text memo. A claim email written in three languages. The previous generation needed every variation pre-mapped. The new generation handles variation as a default.
From separate platform to existing tools
The previous generation gave teams a new platform to log into. The new generation runs in the background and surfaces a side panel inside Outlook only when a human decision is genuinely needed. Same workflow, less context switching, no platform adoption project.
From single module to one model across the suite
Order Processing, AP, AR, Claims, Customer Inquiry — historically each ran on its own configuration. One model now covers all five. Add a new use case and it inherits the same intelligence, the same integrations, the same controls.
Inside the report
A real enterprise audit. Full detail. No demo.
What you'll download is the actual Process Intelligence Audit delivered to a global manufacturer running an OCR-based platform across multiple countries. Sanitized, not simplified. Built to present to your CFO and Head of IT for sign-off.
SECTION 01
Executive summary
Annual automation spend, exception rates by module, format inventory, the one-page brief your CFO needs to size the opportunity.
Section 02
Module-by-module exception analysis
Where the current platform's straight-through rate plateaus, which modules generate the most manual queue volume, and which formats account for most of the exceptions. Five modules mapped, exceptions categorized, time costs attributed.
Section 03
Format & variant inventory
Every supplier PO format, customer template, and remittance layout currently in scope. The hidden complexity that drives configuration cost, made visible.
Section 04
Prioritized roadmap with ROI
Five recommendations. Each rated by impact, effort, and timeline. Module-by-module sequencing — what to move first, what runs in parallel, what stays on the current platform until renewal.
Section 05
AI model predictions on your actual data
We run the Tekst classification model on a sample of your real exceptions — orders, invoices, claims, inquiries. You see straight-through rates, error rates, and confidence scores before you commit.
Comparison Table
What changed between the OCR era and the AI era.
Both generations of automation share a goal — taking manual work out of the back office. The architecture underneath is what changed.
Capability
Handling new formats
Reading variation
AI engine control
Time to first model on real data
Where the team works
Coverage across O2C and S2P
ERP integration
Native — model adapts automatically
Context-aware across language and format
Customer-configurable confidence thresholds
2 hours
Outlook side panel, in their existing inbox
One model across all modules
Lightweight layer on top of SAP, Infor, Dynamics
OCR + templates (previous generation)
Template configuration project
Pre-mapped abbreviations and layouts
Vendor-managed
6–12 weeks per module
Separate platform
Module-by-module configuration
Standalone — requires data sync
Handling new formats
Native — model adapts automatically
OCR + templates (previous generation)
Template configuration project
Reading variation
Context-aware across language and format
OCR + templates (previous generation)
Pre-mapped abbreviations and layouts
AI engine control
Customer-configurable confidence thresholds
OCR + templates (previous generation)
Vendor-managed
Time to first model on real data
2 hours
OCR + templates (previous generation)
6–12 weeks per module
Where the team works
Outlook side panel, in their existing inbox
OCR + templates (previous generation)
Separate platform
Coverage across O2C and S2P
One model across all modules
OCR + templates (previous generation)
Module-by-module configuration
ERP integration
Lightweight layer on top of SAP, Infor, Dynamics
OCR + templates (previous generation)
Standalone — requires data sync
Scroll to see why Tekst wins
Module by module, on your timeline
Live in 30 days. One module at a time. On your renewal cycle.
The transition isn't a big bang. You start where the impact is highest, prove the AI on real volume, then expand module by module — on your renewal timeline, with no double-running cost. Three phases. Three gates. One module live by week 9.
01
Weeks 1–2 · Audit
Free Process Intelligence Audit on your real data. Module prioritization, ROI by quarter, board-ready business case. You keep the audit whether or not you continue.
02
Weeks 3–4 · Model
We build your AI model on a sample of your actual exceptions — formats, languages, edge cases. Straight-through rate validated before any production work begins. Fixed scope, fixed price.
03
Weeks 5–6 · Live
First module in production. Real volume. Audit-trailed. Connected to your SAP, Infor, or Dynamics ERP. 60-day break clause.
All running on the platform today.
Where AI changes the work
Five modules. One AI. Your renewal cycle decides the order.
Most teams start with the module where AI delivers the most immediate impact and expand from there. Here's what changes, module by module.
Order Processing
AI handles supplier format variation, multi-code line items, and shared customer templates without reconfiguration. Straight-through rates above 85% from day one are typical.
Accounts Payable
AI extracts and matches foreign invoices and complex PO structures across languages without predefined rules. Approvals happen inside Outlook as a side panel.
Accounts Receivable
AI auto-matches remittances to invoices — even with partial payments, deductions, or non-standard references — and prioritizes collections by actual payment risk.
Claims Management
AI classifies inbound claims from email automatically — type, priority, routing — and links each one to the relevant ERP documents.
Customer Inquiry
AI reads, classifies, and routes inquiries from any inbox in any language. CS teams handle them from Outlook with full ERP context surfaced — not from a separate portal.
Where to start
Most teams begin with the module that has the highest exception rate, the most format variation, or the nearest renewal date. The Audit tells you which.
Free download
Download the order-to-cash audit report
Full process map with 1,314 unique order variants
6 bottleneck transitions timed to the minute
5 recommendations with ROI estimates included
Planner workload distribution & concentration risk
No demo required · No sales call
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See what AI-native automation looks like on your data. In two weeks. For free.
The Process Intelligence Audit shows you what's possible — not in a demo, but on your real transactions. Module by module, exception by exception, with ROI by quarter. No commitment