Tekst
Automate customer service with AI.
At a glance
Price not confirmed · Source review 2026-11-02- Price & billing
No plan amount was verified on the official homepage reviewed on 2026-11-02; pricing is described as event-volume for process intelligence and credits for automations on an annual contract, with amounts not shown. Recheck official pricing before purchase.
- Free allowance
Not separately confirmed. Check the current plan before relying on a free allowance.
- Best suited to
Enterprises that want process visibility before AI automation
Fit is editorial guidance, not a measured result.- Platforms
Access: not separately verified. Operating systems not separately verified.
Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.
No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.
What to know before choosing
Good fit
Enterprises that want process visibility before AI automation
Limits and trade-offs
No plan amount was verified on the official page reviewed; pricing is described by volume and credits, without amounts.
Plans and free allowances
No plan amount was verified on the official homepage reviewed on 2026-11-02; pricing is described as event-volume for process intelligence and credits for automations on an annual contract, with amounts not shown. Recheck official pricing before purchase.
Evidence
Official homepage ↗ (reviewed 2026-11-02)
Official published page review; no authenticated product test
Dates: Last reviewed 2026-11-02. Last reviewed is the latest source or editorial review date; it is not a content-change date.
A closer look at Tekst
Tekst is a process intelligence platform for enterprise operations: it maps how work really flows across inbox, CRM and ERP, then lets AI agents automate steps in systems teams already use.
Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.
When to choose Tekst
- Enterprises that want visibility into processes before automating
- Operations teams that want AI agents to automate work across inbox, CRM and ERP
When to choose something else
- Small teams looking for a simple chatbot, since Tekst is an enterprise process platform
- Teams that need a standalone customer chatbot rather than a process intelligence platform mapping work across inbox, CRM and ERP with AI agents automating steps in systems teams already use.
A practical starting workflow
- Connect Tekst to inbox, CRM, ERP and workflow tools to capture operational interactions in real time
- Map reality with process intelligence, topic discovery and a context graph of decisions and dependencies
- Deploy AI agents to execute workflows and handle exceptions, then continuously improve from every interaction
Check before committing
- Vendor claims on the official page are not guarantees; actual results, quality and availability must be tested in the product.
- Prices and features may change after this review; recheck the official site before purchase or signup.
Common questions
What does Tekst do?
Tekst is a process intelligence platform for enterprise operations that shows how work really flows, then lets AI agents automate steps in systems like SAP, Salesforce and Outlook.
How is Tekst priced?
There are no seats and no token fees; process intelligence is priced on event volume and automations on credits bought upfront on an annual contract, with test runs free. Amounts are not shown and are not asserted here.
Which systems does Tekst work with?
SAP, Salesforce, Microsoft Dynamics, Oracle, NetSuite, Odoo, Infor, HubSpot, ServiceNow and Zendesk, plus Outlook and Gmail for inbound communication.
How quickly do customers see results?
Most customers have full process visibility in under 10 days, and first automations go live within weeks, according to the homepage FAQ.
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Sources and checks
Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.