AI Customer Support Automation Tool
What is Tekst and what problems does it solve?
Tekst provides an intelligent Agentic Process Automation layer that connects your inbox, CRM, ERP or TMS and automates end-to-end enterprise processes without heavy IT or change management. It eliminates boring work, automates routing, categorization, and handling of unstructured messages, and gives real-time visibility into operations. Tekst turns complex workflows into automated, scalable processes that improve efficiency and throughput.
What are Tekst's top use cases?
- Case & incident management: Automated product incident reporting, smart case prioritization, case enrichment with contextual insights, and AI-powered case classification.
- Email and shared inbox automation: Automatically route, tag, and respond to messages.
- Document & order processing: Automate processing of orders, invoices, contracts and related documents.
- Customer support & response optimization: Improve routing, prioritization, and response quality across channels.
How does Tekst integrate with my existing systems?
Tekst is designed for seamless integration with minimal disruption. There’s no need for heavy change management. Tekst connects directly into your existing tools and systems, including your inbox, CRM, ERP or TMS. It can integrate with platforms like Outlook and SAP, and it can extend capabilities alongside Salesforce Einstein or Microsoft Copilot to maximize the value of your current tech stack.
How secure and compliant is Tekst, and who owns the data?
Tekst provides enterprise-grade security and compliance. Your company retains full ownership and control of its data. Tekst processes information in real-time and emphasizes security and trust. The solution features ISO certification for data privacy and security. Data is deleted immediately after training your AI model, and Tekst never stores your data.
How does Tekst's AI model work, and what is Deep Context?
Tekst uses an enterprise-grade AI model that analyzes context, sentiment, intent, and multiple priorities within a single message. This Deep ContextAllows Tekst to categorize and route emails, tickets, and chats with human-level understanding at enterprise scale, beyond simple keyword matching.
What ROI and metrics demonstrate Tekst's impact?
Tekst delivers measurable business impact, including:
- 95%+ automation of repetitive inbound workflows
- 1,000+ fully automated enterprise use cases
- 10x faster resolution time
- 5x ROI in weeks, not quarters
- AI-powered routing that quickly directs each request to the right team
Can Tekst enhance Salesforce Einstein or Microsoft Copilot?
Yes. Tekst can work alongside Salesforce Einstein or Microsoft Copilot, enhancing their capabilities to handle complex workflows, multilingual interactions, and high-volume case management. Tekst helps to deliver faster, smarter, and more scalable results and maximizes the value of your existing AI stack.
How many languages does Tekst support?
Tekst supports multilingual operation, with the capability to handle more than 20 languages. This multilingual capability helps maintain consistent support quality across diverse teams and regions.
How long does deployment take and what is the typical rollout process?
Tekst describes a structured rollout in stages:
- Step 1: Connect — no-code setup to integrate Tekst with your current tech stack.
- Step 2: Process Mining — the custom AI model learns your company’s language and processes.
- Step 3: End-to-end Automations — transform tasks into scalable workflows that run across systems.
Typical timelines (approximate):
- AI strategy workshop: 2 hours
- Technology & process assessment: 1 day
- Seamless system integration: 2 days to 1 week
- AI model training & optimization: 2 days to 1 week
- Tekst goes live: ongoing optimization thereafter
What is Tekst's pricing model?
Pricing details are available on Tekst’s Pricing page. For specific pricing and a tailored quote, book a demo or contact the Tekst team.
