Telborg is an AI agent platform designed to help businesses automate complex workflows using intelligent, customizable agents. By combining AI and logic-based decision-making, Telborg enables users to create autonomous agents that can perform multi-step tasks, manage operations, and integrate with various external systems. The platform is geared toward startups, SMEs, and enterprise teams looking to reduce manual workload and boost operational efficiency.
The official site, telborg.com, emphasizes simplicity and control. Users can design agents to perform tasks across sales, marketing, support, and admin operations. Whether it’s following up with leads, sending reports, or syncing data across platforms, Telborg’s agents can handle the job with minimal human intervention.
Features
Telborg offers a comprehensive suite of features for building and managing AI agents:
Agent Builder: No-code interface to build custom agents with logic chains and conditional flows.
Multi-step Task Automation: Automate processes involving several steps or systems.
Data Context Management: Agents understand and retain context over time to make better decisions.
Integration with External Tools: Connect to APIs, CRMs, and databases like Salesforce, HubSpot, Airtable, and more.
Autonomous Execution: Agents operate independently, triggered by events or schedules.
Role-based Access: Manage team permissions and collaboration within the workspace.
Monitoring & Logs: Track agent activity, review logs, and troubleshoot workflows.
Natural Language Interface: Build and control agents using conversational language.
How It Works
Telborg operates on the principle of modular, logic-driven agents that can carry out tasks autonomously. Users start by defining a specific workflow or outcome they want to automate—such as lead follow-up or customer onboarding. Using Telborg’s intuitive interface, users can build agents by specifying tasks, logic rules, and triggers.
Each agent operates on a loop of inputs, logic evaluation, and outputs. For example, an agent might receive input from a CRM (e.g., a new lead), evaluate the lead’s attributes using preset conditions, and then decide whether to send an email, assign a sales rep, or schedule a follow-up. These agents can interact with APIs, make decisions using stored memory, and continue working over time with limited user supervision.
Agents can be activated via time-based triggers, user commands, or external API events. All activities are logged, and users can step in manually if intervention is needed.
Use Cases
Telborg is designed for flexibility and fits into a wide variety of business applications:
Sales Automation: Agents can qualify leads, send follow-ups, update CRM entries, and escalate deals.
Customer Support: Automate ticket routing, follow-ups, and status updates across multiple systems.
Internal Operations: Schedule reports, update databases, and monitor workflows with minimal human input.
Marketing: Automatically segment audiences, sync data between tools, and trigger personalized campaigns.
Data Integration: Sync information across platforms like Airtable, Notion, Google Sheets, and internal APIs.
Recruiting: Automatically process applications, schedule interviews, and notify teams of top candidates.
Pricing
As of June 2025, Telborg does not publicly list detailed pricing tiers on its website. Interested users are encouraged to join the waitlist or request early access by signing up at telborg.com. Since the product is still in early-access or beta, pricing may be customized depending on the business scale and use case.
Typically, early-access platforms like Telborg offer:
Free Tier or Trial: Limited access to agent creation, features, or usage time
Team/Business Plans: Monthly subscription based on agent capacity, integrations, and support
Custom Plans: Tailored packages for enterprise use with SLA and API limits
Once the product launches fully, pricing will likely be structured around agent volume, API usage, and team collaboration features.
Strengths
Telborg stands out in the automation landscape due to several core advantages:
No-Code Interface: Easy to use even for non-developers
AI with Logic Chains: Combines traditional automation with intelligent decision-making
Highly Customizable: Create task flows tailored to specific business needs
Continuous Learning & Memory: Agents operate with context, not just one-time scripts
Strong Integrations: Compatible with popular business tools and APIs
Early Mover Advantage: Innovates by blending agent architecture with business operations
Drawbacks
Although Telborg offers a promising feature set, it comes with a few limitations:
Still in Early Access: Not yet widely available to all users
Lack of Transparent Pricing: Makes it harder to plan or budget for adoption
Limited Documentation: As with many beta platforms, resources may be sparse or evolving
Integration Depth Unknown: While integration is advertised, specific API limitations are not clearly listed
Enterprise-readiness Unverified: SLA, compliance, and data security details are not yet public
Comparison with Other Tools
Telborg can be compared to a few AI automation and agent platforms, such as:
Zapier: Excellent for connecting apps and automating simple workflows. However, Zapier lacks AI context and memory.
AgentGPT: A platform for creating autonomous AI agents, but more focused on general task agents than business operations.
Airtable Automations: Useful for simple database-related tasks but doesn’t offer intelligent agents or decision logic at Telborg’s level.
Make (formerly Integromat): Powerful for integrations but requires a deeper technical understanding and lacks AI-driven decision-making.
What sets Telborg apart is its focus on context-aware, intelligent automation that can mimic human workflows more closely than traditional rule-based automation platforms.
Customer Reviews and Testimonials
As of now, Telborg is in early-access, and verified customer reviews are limited. However, early users who have signed up via Product Hunt and startup communities have shared positive impressions:
Users praise the flexibility in agent building and the no-code interface
Some highlight the potential for streamlining internal operations in startups
Feedback also mentions a need for more tutorials and documentation, which is common for early-stage platforms
The team behind Telborg is reportedly active in responding to feedback, and the platform is evolving quickly based on user input.
Conclusion
Telborg is an emerging AI tool that brings automation to the next level by enabling businesses to deploy intelligent agents capable of handling complex workflows. Its combination of no-code agent creation, AI logic, and real-time integrations makes it an ideal choice for forward-thinking companies looking to automate and optimize their operations.
Though still in early access, Telborg has the potential to compete with established automation tools by focusing on context-driven execution and user-friendly design. For businesses ready to explore AI agents as part of their operational stack, Telborg offers a compelling, modern solution that could significantly reduce manual effort and increase scalability.
