The industry's deepest native AI integration — 9 LLM providers, a complete RAG pipeline, image generation, speech-to-text, text-to-speech, fine-tuning, PII redaction, and output validation. Built directly into the automation engine, not bolted on.
9 Providers | RAG Pipeline | AI Media | PII Redaction | Autonomous Agent | Multi-Channel Outbound Notifications (8 channels) | 5,000+ Skills | 367-Tool MCP Server
InTouch provides five distinct Claude tools, each designed for a specific AI workflow pattern. From simple prompts to fully autonomous agents that operate the InTouch platform independently.
Single-turn Claude prompts with extended thinking, vision/image analysis, temperature control, and system prompts. Process text, analyze images, and generate structured output within your automation workflows.
Models: Claude Opus 4, Sonnet 4, Haiku 4.5
Fully autonomous AI agent that operates InTouch with 19 built-in tools — list jobs, run jobs, wait for completion, read execution logs, check server status, and more. The agent reasons about what to do and takes action independently.
Agentic tool-use loop with custom tool definitions. Define tools as HTTP endpoints — Claude reasons about which tools to call, InTouch auto-executes them, and feeds results back. Up to 10+ iterations per execution.
Bulk processing with the Anthropic Batch API at 50% reduced cost. Process thousands of prompts in a single tool run — ideal for document classification, data enrichment, and content generation at scale.
Multimodal document and image analysis with citation extraction. Analyze PDFs, images, and complex documents. Get structured responses with page references and source citations.
Every provider is a first-class tool — scheduled, triggered, monitored, retried, and error-handled exactly like SQL or FTP. Five providers share a common engine with PII redaction and JSON schema validation built in.
GPT-4o with JSON response format, Azure compatibility, and organization support. The reference provider for the OpenAI-compatible engine.
French AI with Codestral for code generation, mistral-large for reasoning, mistral-small for fast classification. Strong multilingual capabilities.
Sub-second inference on custom LPU hardware. Free tier available. Ideal for real-time classification, high-throughput batch processing, and cost-sensitive pre-processing.
Chain-of-thought reasoning with deepseek-reasoner. Dedicated code model. Competitive pricing for general-purpose work.
Less restrictive content policies. Provider fallback when others decline requests in specific domains.
Gemini 2.5 Pro and Flash with thinking mode. Google's AI capabilities directly in your automation.
Free, private, no API key. Any installed model — Llama, Mistral, CodeLlama, Gemma, Phi, Qwen. Zero data leaves your network.
500,000+ open-source models. 10 NLP tools: classification, NER, summarization, translation, QA, embeddings, and more. Free tier for most models.
Before any prompt leaves your network, sensitive data is replaced with [REDACTED]. Five built-in patterns — SSN, email, phone, credit card, IPv4 — plus custom regex. Works identically across OpenAI, Mistral, Groq, DeepSeek, and xAI. Redaction count logged in the audit trail.
Set a JSON Schema on any AI tool. The engine validates every response — required fields, type checking, structure. If validation fails, re-sends the prompt with the error appended. Up to 6 attempts. Structured JSON output that self-corrects without human intervention.
A complete RAG pipeline as native tools. No LangChain, no Python scripts, no glue code. Chunk documents, generate embeddings, store vectors, retrieve by semantic similarity, generate grounded answers — all as schedulable, auditable job tools with enterprise governance.
Split documents into right-sized pieces for embedding. 6 strategies: tokens (with overlap), sentences, paragraphs, lines, pages, or custom regex. Configurable size, overlap, and metadata. Supports txt, markdown, HTML, CSV, JSON.
Convert text to dense vectors via OpenAI-compatible API. Texts with similar meaning produce similar vectors — "cancel my subscription" matches "stop my monthly plan." Alternative: Hugging Face feature-extraction for free embeddings.
Upsert, query, delete across Pinecone, Weaviate, Chroma, Qdrant, pgvector, Milvus, or a zero-dependency local file store with cosine similarity. Metadata filtering, namespace isolation, top-K retrieval.
AI Assistant grounded in your documents — load handbooks, runbooks, policies into the vector store. The assistant cites your actual content in delivered notifications instead of hallucinating. Job failure diagnosis — embed error logs, query for similar past failures, auto-notify with context. Intelligent file routing — files land in a folder, get classified semantically, route to the right job. Compliance audit search — "credential changes in Q1" finds entries logged as "rotated token" or "updated API key." The local vector store means Personal edition runs the entire pipeline with nothing beyond Java.
Four additional AI capabilities, all sharing the OpenAI credential — one connection, five capabilities.
DALL-E 3, DALL-E 2, and gpt-image-1. Create images from text prompts for reports, marketing, notifications, and content pipelines. HD quality, multiple sizes, automatic file download.
Transcribe audio files (mp3, wav, m4a, webm) to text, SRT subtitles, or VTT. Three models: Whisper-1, GPT-4o-transcribe, GPT-4o-mini-transcribe. Auto language detection. Vocabulary guidance for domain terms.
9 voices (alloy, ash, coral, echo, fable, onyx, nova, sage, shimmer), 6 audio formats, 0.25x-4x speed control. Generate audio notifications, accessibility content, podcast material, IVR messages.
Create, monitor, cancel, and list OpenAI fine-tuning jobs and models. Train custom models on your data for domain-specific classification, consistent formatting, and structured extraction. Department & Enterprise editions.
Trigger job execution based on AI evaluation. Define a condition in natural language, and InTouch periodically asks the LLM to evaluate it. When the AI determines the condition is true, the job executes automatically. Configurable evaluation schedules — every minute, hour, day, week, or month.
Create alert objects with subject, body, and HTML/text formatting. Link alerts to schedules, trigger files, and AI triggers. When any linked trigger fires, the alert is sent to every configured channel simultaneously — up to 8 channels (5 on Personal/Team: Email, Slack, Discord, Telegram, SMS — plus WhatsApp, Microsoft Teams, LINE on Department/Enterprise).
No other automation platform combines compiled tools, AI-powered skills, and declarative job definitions in a single system. InTouch does.
Tools are the building blocks. Two types for different needs:
Full JVM power with custom connections, complex operations, and dependencies. SQL, FTP, Essbase, TM1, AWS, Google Workspace, Docker, MongoDB, Git, LDAP, PDF, Excel, and more. Dynamic schema-driven UI forms — the tool defines its schema, the UI renders it automatically.
Zero-compile tool creation. Define steps declaratively — HTTP calls, AI reasoning, file operations, data transforms, conditions, loops. Perfect for rapid prototyping and lightweight integrations. Same execution engine, same UI, same scheduling.
Skills tell the AI what to accomplish using InTouch tools. Write a SKILL.md file with instructions, declare which tools it needs, and the AI orchestrates everything.
Native markdown skills with YAML frontmatter. Declare required tools and inputs. The AI reads the instructions, validates tool availability, and orchestrates execution. Chainable — skills can invoke other skills.
Use @ followed by the skill name for auto-resolution, @intouch:name for InTouch-native skills, or @claw:name for OpenClaw skills. No collisions. Full control over which provider runs.
Plus access to ClawHub (5,000+ OpenClaw skills) and the InTouch Hub. Auto-installs on first use. Invoke from the built-in AI assistant UI, the InTouch PWA, the Android app, the REST API, or schedule as a job tool. Two skill ecosystems, one platform.
Define complete multi-step jobs in YAML. Version-control your automation in git. Deploy across environments. No UI clicks required.
Name, description, tools with credentials, operations, and properties. Tool dependencies with after:, failure handling (onFailure: stop|continue), and retry logic — all in a single YAML file.
Reference published properties from prior tools: {{extract.rowCount}}, {{transform.outputFile}}. Data flows between tools automatically. Chain SQL exports to S3 uploads to email notifications.
Validate, install, run, delete, and reload YAML jobs via REST API. Server validates tool availability, credential existence, and dependency graph before accepting. Same execution engine as UI-built jobs.
InTouch delivers alerts, scheduled reports, and job results to subscribers across eight outbound channels. Each channel resolves credentials by name from the AES-256 vault and audit-logs every send.
SMTP delivery. Notifications, scheduled reports, alert digests, attachments.
Bot token posts to channels and DMs. Block Kit formatting. Per-channel thread support.
Bot posts to channels and DMs via Gateway. Embeds, mentions, threaded replies.
Bot API sendMessage. Outbound HTTPS only. Group, channel, or one-to-one delivery.
Twilio, Telnyx, and Plivo outbound SMS for phone-number recipients.
Meta Cloud API for outbound WhatsApp messages to verified numbers.
Bot Framework outbound posts to Teams channels via webhook.
LINE Messaging API outbound push to LINE Official Accounts.
Every InTouch user gets access to a built-in AI assistant directly in the UI (Ctrl+Enter), in the InTouch PWA, in the InTouch Android app, or through the REST API. Conversational authoring is the primary UI — describe what you need and the assistant builds it. More than a chatbot: it can create jobs, run tools, manage credentials, invoke skills, and set up schedules using tool_use. Configurable provider (Anthropic, OpenAI, Google Gemini, Mistral, Groq, DeepSeek, xAI, Hugging Face, Ollama — 9 in total), model, temperature, and system prompt — set once at the server level, available to all authenticated users. All actions respect the user's RBAC permissions. Swap to Ollama locally for zero-cost, private inference with no data leaving the network.
The InTouch MCP (Model Context Protocol) server connects Claude Code directly to InTouch, exposing 367 tools across the complete REST API:
40+ tools for CRUD, schedules, triggers, execution
17 tools for database, FTP, SSH, and cloud connections
17 tools for execution logs and history
20+ tools for status, control, and sessions
17 tools for RBAC role management
17 tools for server settings and tool management
10 tools for schedules, file triggers, and AI triggers
7 tools for backup, restore, and migration
With the MCP server, you can tell Claude Code: "Create a job that exports the sales table every morning at 6am and emails the CSV to the finance team." Claude uses the 367 tools to configure everything — credentials, tools, schedules, subscribers — without you touching the UI.
No other automation platform offers 9 native LLM providers with PII redaction and output validation built in. Swap providers by changing one field. If one provider refuses a domain, switch to another — or to Ollama for zero restrictions.
Complete RAG pipeline as native tools — chunk, embed, store, retrieve, generate. 7 vector store providers including a zero-dependency local option. Scheduled, audited, governed. Not a Python script with a scheduled script.
Chain RAG retrieval with SQL exports, AWS uploads, image generation, and speech synthesis — in a single workflow. Image gen + TTS in one job. Embed docs on a schedule. Transcribe audio and analyze with Claude. No other platform does this.
Sensitive data never reaches the AI provider. SSN, email, phone, credit card, IPv4 — all redacted automatically before the prompt leaves your network. Custom regex for industry-specific patterns. Enterprise compliance from day one.
Text generation, image creation, speech-to-text, text-to-speech, document analysis, fine-tuning, and 500K+ Hugging Face models — all as governed job tools. Not separate products. One platform, one credential vault, one audit trail.
AES-256 encrypted credentials with RBAC. Full audit trail. Enterprise governance on every AI operation. And the Personal edition is completely free — no time limits, no feature gates on AI.
9 LLM providers. Complete RAG pipeline. Image generation, speech-to-text, text-to-speech. PII redaction. Output validation. The deepest AI integration in any automation platform.
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