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Tines 3B

The secure environment for agents, apps, and automations

2026-08-11

Product Introduction

  1. Definition: Tines 3B is an AI-native, code-first intelligent workflow platform. It is a unified software environment designed for building, deploying, and governing AI agents, applications, and automations. It functions as a secure, scalable orchestration layer that connects disparate systems and AI models.
  2. Core Value Proposition: Tines 3B exists to solve the problem of "wild code" and ungoverned automation sprawl across organizations. It provides a single, secure environment where technical teams can build with AI and automation at speed, while giving Security and IT the centralized controls, monitoring, and auditability needed to govern that work safely at scale. Its primary value is enabling faster, safer, and more scalable AI-driven workflow delivery.

Main Features

  1. AI-Native, Code-First Build Environment: The platform allows builders to create workflows using natural language prompts, which are then translated into executable, version-controlled code. It integrates with coding assistants (like Claude Code) and standard development tools via Git, treating workflows as code for peer review, branching, and CI/CD integration. This bridges the gap between low-code accessibility and enterprise-grade software engineering practices.
  2. Sandboxed Execution & Credential Protection: Every step in a Tines 3B workflow runs in an isolated compute environment, preventing cross-step data leakage. Credentials are never stored in code or exposed to builders or AI models; they are injected at runtime via a transparent proxy. This security-first architecture ensures that sensitive data and API keys remain protected throughout the automation lifecycle.
  3. Autonomous Optimization (Autofix & Autotune): The platform includes autonomous AI agents that continuously monitor and improve workflows. Autofix proactively identifies runtime anomalies (e.g., API timeouts, rate limits) and suggests fixes. Autotune analyzes workflow performance and logic to propose optimizations for reliability, speed, and code clarity, pushing changes to a reviewable branch for developer approval.
  4. Centralized Governance & Monitoring Dashboard: Tines 3B provides comprehensive observability tools. The AI Spend dashboard tracks token usage, cost, and cache efficiency across all connected LLM providers and models. The Value dashboard allows teams to assign hourly rates to quantify the ROI of automated workflows. Access and Duplicates features help manage permissions and identify redundant automations to reduce clutter and cost.

Problems Solved

  1. Pain Point: Organizations face security and compliance risks from ungoverned, "shadow" automations and AI agents built by various teams using disparate, insecure tools. This leads to credential exposure, inconsistent practices, and audit nightmares.
  2. Target Audience: The platform serves two primary personas: Builders (Security Analysts, DevOps Engineers, IT Ops, Business Operations) who need to create AI agents and automations quickly, and Governors (CISOs, IT Directors, Platform Engineering) who need centralized security, cost control, and compliance oversight.
  3. Use Cases: Essential scenarios include: Security Orchestration, Automation, and Response (SOAR) for phishing triage and incident response; IT Service Management (ITSM) for employee onboarding/offboarding and ticket routing; Business Process Automation for finance invoice approvals and operational alerting; and building custom internal AI applications that interact with company data and tools.

Unique Advantages

  1. Differentiation: Unlike standalone RPA tools, legacy SOAR platforms, or generic low-code platforms, Tines 3B is built from the ground up as a unified, AI-native environment. It combines the developer-friendly experience of a code-first platform with the security isolation of a zero-trust architecture and the autonomous optimization of an AI ops layer, which most competitors lack.
  2. Key Innovation: Its core innovation is the secure, sandboxed execution model combined with AI-driven autonomous optimization. The platform doesn't just run workflows; it actively maintains and improves them. The integration of Autofix and Autotune as native features shifts the platform from a passive tool to an active participant in the automation lifecycle, reducing toil and technical debt.

Frequently Asked Questions (FAQ)

  1. How does Tines 3B handle security and credential management for AI workflows? Tines 3B uses a sandboxed execution environment where each workflow step runs in isolation. Credentials are never stored in code or visible to users or AI; they are securely injected at runtime via a proxy. This ensures secrets protection and prevents lateral movement in case of a compromise.
  2. What is the pricing model for Tines 3B, and is there a free tier? Tines 3B uses a platform license model, providing access to all features rather than per-product fees. A free "Explore Edition" is available, offering access to 3 live workflows with unlimited users, spaces, and connectors, serving as a full-featured entry point.
  3. Can Tines 3B integrate with our existing tools and custom APIs? Yes, Tines 3B is vendor-agnostic. It can connect to any tool with an API or via the Model Context Protocol (MCP) for AI models. It is not limited to a pre-built connector list, avoiding vendor lock-in and enabling integration with bespoke internal systems.
  4. How does the "Autotune" feature work, and can I control its changes? Autotune continuously monitors workflow performance and logic. It then proposes optimizations (e.g., batching API calls, parallelizing tasks, renaming for clarity) on a dedicated, reviewable Git branch. Developers must review and approve these suggestions before they are merged, maintaining full control.
  5. Who is the primary user for Tines 3B: developers or business analysts? Tines 3B is designed for technical builders, including developers, security engineers, and IT ops professionals, due to its code-first nature. However, its natural language prompt-to-workflow capability also empowers less technical users to prototype, while governance features ensure IT oversight.

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