What does Tekst add to Salesforce?

Tekst complements Agentforce by extending automation to areas Salesforce can’t natively reach. It ensures that data entering Salesforce is already structured, clean, and actionable — enhancing Einstein and Agentforce performance rather than competing with it directly.

How does Agentic Process Automation differ from traditional automation tools like RPA?

While RPA follows predefined rules, Tekst’s Agentic Process Automation interprets intent, reasons contextually, and adapts in real time. It can manage unstructured data such as emails or customer requests, making automation far more flexible and intelligent than RPA.

What makes Tekst more flexible than Agentforce for enterprise automation?

Tekst goes beyond Agentforce by automating not only CRM tasks but also the upstream communication that feeds into Salesforce. It captures, cleans, and classifies unstructured data from inboxes, giving enterprises a complete and accurate operational view.

Process intelligence for SAP order management

Your orders start in Outlook. Your ERP sees half the story. We see all of it.

Tekst is the Process Intelligence platform that maps every step of your Quote-to-Cash flow across email, ERP, CRM, and the work between them before deploying the AI agents that run it.

Access a FREE Process Intelligence Audit Report

Real enterprise data audit

No demo required

Sent instantly

The world’s leading enterprises can now automate with confidence.

The Q2C Blind Spot

SAP tells you what was entered. Not what happened before that.

60% of your Quote-to-Cash process lives outside your ERP - in inboxes, in tickets, in attachments, in the handoffs between four teams and five tools. That's where OTIF failures start. That's where DSO leaks. And that's where every traditional process mining tool stops looking.

81.2%

OTIF rate - already behind target

In the client audit, nearly 1 in 5 orders missed the on-time in-full target. The root cause wasn't shipping or production, it was a rework loop that started in the inbox, before SAP ever saw the order.

1,314

Unique order paths for 4,514 orders

No two orders followed the same route. That level of fragmentation makes SLA tracking structurally unreliable. You're not failing on execution, you're failing on process architecture.

21.5%

Of all orders owned by one planner

Planner A handled 21.5% of every tagged order. The top three planners together covered 48% of total volume. That concentration risk doesn't appear in any SAP dashboard.

14h 9m

Added per technical spec rework cycle

When an order arrives without complete technical data, it bounces between inbox and SAP repeatedly. Each bounce adds 14+ hours. The fix takes less than a week to implement once you know the problem.

Discover the power of Tekst

"We had SAP Signavio running. It showed us the ERP steps perfectly. It couldn't explain why 25% of orders were already late before they were even created in the system. The delay wasn't in any one tool, it was in the gaps between them."

Inside the report

A real enterprise audit. Full detail. No demo.

What you'll download is the actual analysis delivered to an enterprise client running SAP across four Benelux order desks.

Access a FREE Process Intelligence Audit Report

SECTION 01

Executive summary & process overview

OTIF rate, total order volume, lead time performance, unique variant count. The one-page brief your COO needs to approve action — with four mailbox integrations documented.

Section 02

Process map & variant analysis

Every path an order actually took from first inbox touch through SAP confirmation to shipping logistics. The top 5 variants, the long tail, the rework loops — all mapped and timed.

Section 03

Bottleneck analysis & workload distribution

Named transitions, timed to the minute. Credit hold to order release: 2-day median. Technical spec review: 14h per cycle. Planner workload concentration with individual agent breakdown.

Section 04

Prioritized recommendations with ROI

Five fixes. Each rated High / Medium. Each with: the problem, the intervention, the expected impact, and the effort required. Built to present to your CFO or Head of IT for sign-off.

Section 05

AI model predictions & connected integrations

The classification model covering language, topic, and business unit — across Standard Orders, Rush Orders, Technical Inquiries, Price Mismatches, and 8 more categories.

Comparison Table

Process mining without execution is an expensive dashboard.

SAP's native tools automate within the ERP. Tekst automates the gap between your inbox and the ERP, which is where the actual manual work, and the actual delays live.

Capability

Reads across email, ERP, CRM, documents

Maps the entire Q2C process

Time to first insight

Connects to SAP S/4HANA & ECC

AI agents execute actions

Typical implementation cost

Native integration

Core capability

1 week

Yes

End-to-end

SAP Build / RPA

SAP-only

Optional

2–4 months

Native

RPA bots (brittle)

ERP logs only

Optional

4–6 months

Via connectors

Visibility only

$$$

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

See what's actually happening in your Quote-to-Cash process

The Process Intelligence Audit puts a number on what your status quo costs. No demo. No commitment. Real data from your systems. Real findings. Real ROI.