• Tekst AI

  • Tekst is an AI‑powered enterprise platform that automates and manages high‑volume text communication such as emails, support tickets, chats, and document processing turning unstructured messages into structured, actionable workflows.

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About Tool

Tekst is designed to help businesses handle large volumes of incoming communication from customer support emails to shared inboxes  by using AI to read, classify, route, enrich, and automate responses or backend processes. It can interpret context, intent, priorities, and sentiment to decide how messages should be handled, then trigger workflows such as case creation, CRM updates, order processing, or automated replies. The platform learns from a company’s historical data and adapts to its specific language, abbreviations, and rules making it fit for complex enterprise environments. With Tekst, teams no longer need to manually sort, triage, or process every message: the system does that work, at scale and in real-time.

Key Features

  • AI‑powered message classification: detects intent, context, priority, and sentiment in emails, tickets, chats, or documents.
  • Automated routing and workflow triggering: routes messages to correct teams or inboxes, auto-creates tickets or cases in CRM/ERP systems.
  • Shared‑inbox and backend integration: works with existing tools (mailboxes, CRMs, ERP, ticketing systems) without requiring overhaul.
  • Document & order processing: handles tasks like order intake, invoice processing, quote-to-cash workflows, and document ingestion.
  • Multi‑language support and custom‑trained models: adapts to company-specific language, acronyms, SKUs, or regulatory vocabulary.
  • Analytics & process‑insights dashboard: provides visibility on incoming message volumes, performance metrics, response times, backlog, and workflow throughput.
  • Scalable automation: suitable for high-volume environments from thousands to millions of messages per year.

Pros:

  • Reduces manual workload significantly automates triage, classification, routing, and backend tasks.
  • Improves accuracy and speed AI-driven classification and routing reduces mis‑routing, delays, or missed messages.
  • Integrates with existing systems no need to rip and replace mailboxes or CRMs; works alongside established workflows.
  • Handles volume and complexity scales from small teams to enterprise-scale workflows handling large message volume.
  • Provides analytics and visibility helps teams monitor performance, identify bottlenecks, and improve processes over time.

Cons:

  • Setup and initial training require business data and configuration AI needs to learn company‑specific vocabulary and workflows.
  • Might be overkill for small teams or operations with low message volume cost/benefit improves with scale.
  • As with any AI classification, edge‑cases or ambiguous messages may still need human review.
  • Dependence on integrations if external tools or systems change, automation may need adjustment.

Who is Using?

Tekst is used by medium to large businesses, customer‑support teams, operations departments, e-commerce companies, and any organization managing high volumes of incoming communications especially those handling shared inboxes, order processing, support tickets, or multilingual customer interactions.

Pricing

Tekst follows a volume‑based pricing model: costs depend on inbox volume, number of processed messages, workflows automated, and complexity of tasks. Organizations pay based on the “jobs-to-be-done” rather than per-user, which can scale efficiently for high-volume environments.

What Makes Unique?

Tekst stands out by offering enterprise-grade automation of unstructured text workflows converting raw messages into structured data and triggering backend business processes automatically. Its ability to learn company‑specific language and context, support multiple languages, and integrate with existing enterprise systems gives it an edge over generic chatbots or simple rule-based automation. The platform doesn’t just assist it fully automates complex workflows at scale.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆ — Onboarding and integration require some setup, but once configured the system works smoothly
  • Features: ⭐⭐⭐⭐⭐ — Comprehensive set: classification, routing, automation, document & order processing, analytics, multilingual support
  • Value for Money: ⭐⭐⭐⭐☆ — Excellent ROI for businesses with high message volume; benefits scale with use
  • Flexibility & Utility: ⭐⭐⭐⭐⭐ — Adaptive to diverse workflows: support, sales, order management, multilingual customer service, and more

Tekst is a powerful AI‑driven automation platform ideal for organizations overwhelmed by high volumes of unstructured communications emails, tickets, documents, orders, and more. For enterprises needing to streamline customer support, order processing, or shared inbox management at scale, Tekst offers robust workflow automation, accurate routing, and deep analytics. While the setup demands some initial effort and data, the long-term efficiency gains, consistency, and scalability make Tekst a strong choice for modern businesses handling complex communication workflows.

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Tekst AI

About Tool

Tekst is designed to help businesses handle large volumes of incoming communication from customer support emails to shared inboxes  by using AI to read, classify, route, enrich, and automate responses or backend processes. It can interpret context, intent, priorities, and sentiment to decide how messages should be handled, then trigger workflows such as case creation, CRM updates, order processing, or automated replies. The platform learns from a company’s historical data and adapts to its specific language, abbreviations, and rules making it fit for complex enterprise environments. With Tekst, teams no longer need to manually sort, triage, or process every message: the system does that work, at scale and in real-time.

Key Features

  • AI‑powered message classification: detects intent, context, priority, and sentiment in emails, tickets, chats, or documents.
  • Automated routing and workflow triggering: routes messages to correct teams or inboxes, auto-creates tickets or cases in CRM/ERP systems.
  • Shared‑inbox and backend integration: works with existing tools (mailboxes, CRMs, ERP, ticketing systems) without requiring overhaul.
  • Document & order processing: handles tasks like order intake, invoice processing, quote-to-cash workflows, and document ingestion.
  • Multi‑language support and custom‑trained models: adapts to company-specific language, acronyms, SKUs, or regulatory vocabulary.
  • Analytics & process‑insights dashboard: provides visibility on incoming message volumes, performance metrics, response times, backlog, and workflow throughput.
  • Scalable automation: suitable for high-volume environments from thousands to millions of messages per year.

Pros:

  • Reduces manual workload significantly automates triage, classification, routing, and backend tasks.
  • Improves accuracy and speed AI-driven classification and routing reduces mis‑routing, delays, or missed messages.
  • Integrates with existing systems no need to rip and replace mailboxes or CRMs; works alongside established workflows.
  • Handles volume and complexity scales from small teams to enterprise-scale workflows handling large message volume.
  • Provides analytics and visibility helps teams monitor performance, identify bottlenecks, and improve processes over time.

Cons:

  • Setup and initial training require business data and configuration AI needs to learn company‑specific vocabulary and workflows.
  • Might be overkill for small teams or operations with low message volume cost/benefit improves with scale.
  • As with any AI classification, edge‑cases or ambiguous messages may still need human review.
  • Dependence on integrations if external tools or systems change, automation may need adjustment.

Who is Using?

Tekst is used by medium to large businesses, customer‑support teams, operations departments, e-commerce companies, and any organization managing high volumes of incoming communications especially those handling shared inboxes, order processing, support tickets, or multilingual customer interactions.

Pricing

Tekst follows a volume‑based pricing model: costs depend on inbox volume, number of processed messages, workflows automated, and complexity of tasks. Organizations pay based on the “jobs-to-be-done” rather than per-user, which can scale efficiently for high-volume environments.

What Makes Unique?

Tekst stands out by offering enterprise-grade automation of unstructured text workflows converting raw messages into structured data and triggering backend business processes automatically. Its ability to learn company‑specific language and context, support multiple languages, and integrate with existing enterprise systems gives it an edge over generic chatbots or simple rule-based automation. The platform doesn’t just assist it fully automates complex workflows at scale.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆ — Onboarding and integration require some setup, but once configured the system works smoothly
  • Features: ⭐⭐⭐⭐⭐ — Comprehensive set: classification, routing, automation, document & order processing, analytics, multilingual support
  • Value for Money: ⭐⭐⭐⭐☆ — Excellent ROI for businesses with high message volume; benefits scale with use
  • Flexibility & Utility: ⭐⭐⭐⭐⭐ — Adaptive to diverse workflows: support, sales, order management, multilingual customer service, and more

Tekst is a powerful AI‑driven automation platform ideal for organizations overwhelmed by high volumes of unstructured communications emails, tickets, documents, orders, and more. For enterprises needing to streamline customer support, order processing, or shared inbox management at scale, Tekst offers robust workflow automation, accurate routing, and deep analytics. While the setup demands some initial effort and data, the long-term efficiency gains, consistency, and scalability make Tekst a strong choice for modern businesses handling complex communication workflows.

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Tekst AI

About Tool

Tekst is designed to help businesses handle large volumes of incoming communication from customer support emails to shared inboxes  by using AI to read, classify, route, enrich, and automate responses or backend processes. It can interpret context, intent, priorities, and sentiment to decide how messages should be handled, then trigger workflows such as case creation, CRM updates, order processing, or automated replies. The platform learns from a company’s historical data and adapts to its specific language, abbreviations, and rules making it fit for complex enterprise environments. With Tekst, teams no longer need to manually sort, triage, or process every message: the system does that work, at scale and in real-time.

Key Features

  • AI‑powered message classification: detects intent, context, priority, and sentiment in emails, tickets, chats, or documents.
  • Automated routing and workflow triggering: routes messages to correct teams or inboxes, auto-creates tickets or cases in CRM/ERP systems.
  • Shared‑inbox and backend integration: works with existing tools (mailboxes, CRMs, ERP, ticketing systems) without requiring overhaul.
  • Document & order processing: handles tasks like order intake, invoice processing, quote-to-cash workflows, and document ingestion.
  • Multi‑language support and custom‑trained models: adapts to company-specific language, acronyms, SKUs, or regulatory vocabulary.
  • Analytics & process‑insights dashboard: provides visibility on incoming message volumes, performance metrics, response times, backlog, and workflow throughput.
  • Scalable automation: suitable for high-volume environments from thousands to millions of messages per year.

Pros:

  • Reduces manual workload significantly automates triage, classification, routing, and backend tasks.
  • Improves accuracy and speed AI-driven classification and routing reduces mis‑routing, delays, or missed messages.
  • Integrates with existing systems no need to rip and replace mailboxes or CRMs; works alongside established workflows.
  • Handles volume and complexity scales from small teams to enterprise-scale workflows handling large message volume.
  • Provides analytics and visibility helps teams monitor performance, identify bottlenecks, and improve processes over time.

Cons:

  • Setup and initial training require business data and configuration AI needs to learn company‑specific vocabulary and workflows.
  • Might be overkill for small teams or operations with low message volume cost/benefit improves with scale.
  • As with any AI classification, edge‑cases or ambiguous messages may still need human review.
  • Dependence on integrations if external tools or systems change, automation may need adjustment.

Who is Using?

Tekst is used by medium to large businesses, customer‑support teams, operations departments, e-commerce companies, and any organization managing high volumes of incoming communications especially those handling shared inboxes, order processing, support tickets, or multilingual customer interactions.

Pricing

Tekst follows a volume‑based pricing model: costs depend on inbox volume, number of processed messages, workflows automated, and complexity of tasks. Organizations pay based on the “jobs-to-be-done” rather than per-user, which can scale efficiently for high-volume environments.

What Makes Unique?

Tekst stands out by offering enterprise-grade automation of unstructured text workflows converting raw messages into structured data and triggering backend business processes automatically. Its ability to learn company‑specific language and context, support multiple languages, and integrate with existing enterprise systems gives it an edge over generic chatbots or simple rule-based automation. The platform doesn’t just assist it fully automates complex workflows at scale.

How We Rated It:

  • Ease of Use: ⭐⭐⭐⭐☆ — Onboarding and integration require some setup, but once configured the system works smoothly
  • Features: ⭐⭐⭐⭐⭐ — Comprehensive set: classification, routing, automation, document & order processing, analytics, multilingual support
  • Value for Money: ⭐⭐⭐⭐☆ — Excellent ROI for businesses with high message volume; benefits scale with use
  • Flexibility & Utility: ⭐⭐⭐⭐⭐ — Adaptive to diverse workflows: support, sales, order management, multilingual customer service, and more

Tekst is a powerful AI‑driven automation platform ideal for organizations overwhelmed by high volumes of unstructured communications emails, tickets, documents, orders, and more. For enterprises needing to streamline customer support, order processing, or shared inbox management at scale, Tekst offers robust workflow automation, accurate routing, and deep analytics. While the setup demands some initial effort and data, the long-term efficiency gains, consistency, and scalability make Tekst a strong choice for modern businesses handling complex communication workflows.

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