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.

Agentic Process Automation ·

The Celonis alternative that doesn't stop at the dashboard

Nobody's KPI is "own a process map”. You're measured on orders and claims processed faster, claims closed sooner, inboxes that clear themselves. Tekst delivers that part: the part the dashboard leaves to your team.

30 minutes. Bring your worst inbox.

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

One order email. Two worlds.

Tuesday, 9:04 AM. A customer emails: a complaint about faulty bolts on order CNT0437, plus, buried in the attachment, a purchase order for 100 more units. Here's what happens next.

World 1, The mining world

9:04 AM

The email lands in a shared inbox. It's free text with a PDF. No event log is created, so your mining platform never sees it.

11:30 AM

Someone opens it, reads it twice, splits it mentally into "quality issue" and "new order," and forwards half to QA.

Day 3

The order half is re-keyed into SAP. One product code is typo'd.

Month 7

Your mining dashboard flags "order intake" as a bottleneck. The recommendation: automate it. That's a new project, a new vendor, a new budget line.

The map was right. The work never got easier.

World 2, The Tekst world

9:04 AM

Tekst reads the email and attachment on arrival. Tekst reads the context: graph of the order, the customer, the dependency, and splits the thread into two cases.

9:05 AM

The complaint is routed to QA with full context. The order lines are extracted and written into SAP, no re-keying, no typo.

9:06 AM

The customer gets a confirmation. Both actions are logged, confidence-scored, and auditable.

Week 2
of deployment

Your team reviews what agents did, tightens thresholds, and picks the next workflow.

The same intelligence that maps the process runs it.

Visibility Is Not Enough.
Here's What You Actually Need.

Knowing where your process breaks is only half the job. Here's what actually closes the gap.

What it does

Time to value

From insight to action

Unstructured inbound

Implementation footprint

Total cost

Best fit

Sees and acts. Maps processes from real work , including emails, PDFs, and tickets , then executes with AI agents.

Weeks. Live on your existing systems. No data warehouse, no modeling project. Full process visibility in under 10 days.

Closes the loop. Built-in agents handle handle real-world exceptions, reroute work, and execute the next step in SAP, Salesforce, and ServiceNow.

Native. Conversation mining structures order emails, claims, attachments, and voice , the work that never becomes an event log.

Lightweight. Sits on top of SAP, Salesforce, email, and tickets. No extraction pipeline.

Subscription only. No implementation tax. No mandatory consulting partner.

Mid-market and enterprise Q2C and P2P teams ready to fix the process, not just chart it.

Sees only. Surfaces process inefficiencies from ERP event logs. Your team still has to act on them.

6+ months. Requires a data warehouse, data modeling, and a consulting partner.

Insights only. Dashboards highlight issues; acting on them is a separate project , usually a separate vendor.

Outside scope. Log-based mining can't see the email chaos where enterprise work actually stalls.

Heavy. Continuous ETL into a process warehouse. Schema modeling per use case.

License plus services. Enterprise fees plus implementation and modeling , often hundreds of thousands before first insight.

Large organizations with a dedicated data team and a multi-quarter timeline.

Success stories from the real world.

shared inbox

250K

emails annually

200%

faster FRT

“Seamless shared inbox collaboration”

“With Tekst, we transitioned from personal mailboxes to a shared inbox, significantly improving our email management and collaboration. Now, colleagues can easily assist each other, enhancing our customer service efficiency.”

Sophie De Keer

Milcobel | FMCG

3.2

million emails

accuracy

85%

auto-classification

“Tekst is great for routing large volumes”

“Managing millions of emails annually was a monumental task until we partnered with Tekst. Their AI-powered solution improved our email routing accuracy to 90% in just weeks, streamlining our operations and enhancing customer satisfaction.”

Christophe Lapeau

Securex | HR & Payroll

See the work get done

30 minutes. No jargon, just your own process. We'll show you both worlds: and how fast yours switches.

SOC2

ISO 27001

GDPR

We already run Celonis. Why add Tekst?

Celonis reads event logs. Event logs only exist after someone has already typed the work into SAP. So the email, the PDF, the exception raised in chat: none of it is in there. Celonis shows you the bottleneck in order-to-cash. It can't show you the bottleneck is a shared inbox, because that inbox never reaches the log.

Does Tekst replace Celonis?

No. Celonis is built to see how ERP processes run. Tekst sits in front of it. We turn unstructured communication into structured, auditable actions, so the logs Celonis mines finally reflect what actually happened.

Celonis already shows us where the problems are. Isn't that enough?

Seeing and acting are different jobs. Process mining ends at the recommendation. Tekst maps reality, then AI agents execute across your systems. They classify the order emails, extract the data, validate against your ERP, route the exceptions and post the rest.

How long does this take compared to a Celonis deployment?

Mapping a process used to take six months. Now it takes an afternoon. Connect your inboxes, ERP and CRM, and the model trains on your own history. First automation results in weeks. No data engineering project, no CoE, no change management.

Is Tekst enterprise grade, or too small for us?

Becton Dickinson, FrieslandCampina, Nokia, Mitsubishi, Securex, Colruyt. SOC 2 certified, GDPR compliant, full audit trail on every action, and your company keeps full ownership of its data. Start with a proof of value on your own processes before you commit to anything.

We tried AI before. It didn't understand our business.

Generic AI never learned your language. Tekst is custom trained on your company's own data, workflows and terminology, in every language your teams work in. Securex went from 3.2 million emails a year to 90% routing accuracy in weeks.

We don't have budget for another platform.

Tekst isn't a platform commitment. No subscription prerequisite, no CoE, no six figure implementation. Modules are priced against the volume you actually process. Thirty hours a week of manual triage costs roughly €50,000 to €80,000 a year in salaries. ROI in days, not months.

The Celonis alternative that doesn't stop at the dashboard

One order email. Two worlds.

Handling new formats

OCR + templates (previous generation)

Reading variation

OCR + templates (previous generation)

AI engine control

OCR + templates (previous generation)

Time to first model on real data

OCR + templates (previous generation)

Where the team works

OCR + templates (previous generation)

Coverage across O2C and S2P

OCR + templates (previous generation)

ERP integration

OCR + templates (previous generation)

World 1, The mining world

World 2, The Tekst world

Visibility Is Not Enough.
Here's What You Actually Need.

Handling new formats

OCR + templates (previous generation)

Reading variation

OCR + templates (previous generation)

AI engine control

OCR + templates (previous generation)

Time to first model on real data

OCR + templates (previous generation)

Where the team works

OCR + templates (previous generation)

Coverage across O2C and S2P

OCR + templates (previous generation)

ERP integration

OCR + templates (previous generation)

See the work get done

FAQ

The Celonis alternative that doesn't stop at the dashboard

One order email. Two worlds.

Handling new formats

OCR + templates (previous generation)

Reading variation

OCR + templates (previous generation)

AI engine control

OCR + templates (previous generation)

Time to first model on real data

OCR + templates (previous generation)

Where the team works

OCR + templates (previous generation)

Coverage across O2C and S2P

OCR + templates (previous generation)

ERP integration

OCR + templates (previous generation)

World 1, The mining world

World 2, The Tekst world

Visibility Is Not Enough. Here's What You Actually Need.

Handling new formats

OCR + templates (previous generation)

Reading variation

OCR + templates (previous generation)

AI engine control

OCR + templates (previous generation)

Time to first model on real data

OCR + templates (previous generation)

Where the team works

OCR + templates (previous generation)

Coverage across O2C and S2P

OCR + templates (previous generation)

ERP integration

OCR + templates (previous generation)

FAQ

Visibility Is Not Enough.
Here's What You Actually Need.