InTouch AI vs Broadcom Automic Automation — Comparison Sheet
The old paradigm is out. The new paradigm is AI. AI automation is InTouch AI. The config era built Automic — from your laptop to the enterprise, AI built InTouch.
Running Automic today? That era is over. You pay Broadcom for what UC4 built decades ago. Execution-based licensing turns every run into a budget meeting. Automic Script is a proprietary language nobody learned in school — and nobody will. Every rollout is a multi-week professional-services engagement before you've automated one new thing, and the UI was built for the operator, not the analyst. You configured the engine, deployed agents on every host, wrote the JCL, read the logs, fixed it yourself. That is the config era, and a config-era core can't grow an AI center — you can bolt a chatbot onto Automic, but you can't bolt on an architecture. A general AI-native engine does what a specialized config-era tool does; the reverse is impossible. Stop configuring. Start describing.
InTouch AI, no hedging: AI is the architecture, not a feature. The vault, the connectors, scheduling, RBAC, and audit all sit behind it. Self-hostable, free Personal edition; single-tenant by design; runs behind NAT via Tailscale; a real governance layer — RBAC, AES-256 encryption, full audit. Versus Automic: a fraction of the licensing cost, install in seconds instead of months, zero agents deployed on target hosts. You describe the intent — the AI builds it, runs it, watches it. And the contract is now intelligent: tell it what to do, when, what to do when it works, what to do when it doesn't, and who to notify. The "doesn't work" clause stopped being a dumb rule — retry N times, email a log. It became an assessment. When a job breaks, it reads the failure, knows why, smart-retries, refreshes an expired token, and surfaces the one sentence that matters. "It broke. Here's why. I fixed it." No config-era tool can say that. Eight outbound channels and a first-class AI assistant ship in the product. Not an add-on module with its own SKU.
Overview
| InTouch AI | Automic Automation (Broadcom) |
| Type | Full-spectrum job automation — individuals to enterprise | Enterprise workload automation & orchestration platform |
| Architecture | Server-based (JVM/Kotlin/Micronaut), single JAR | Distributed: Automation Engine + agents + metadata DB |
| Primary Focus | Job scheduling, workflow automation, ETL, AI-native automation | Workload automation across platforms, ERP orchestration |
| Heritage | Blue Isle Software | UC4 Software → Automic → CA Technologies → Broadcom |
| Installation | Seconds — single JAR, all editions | Weeks to months (engine, DB, web server, agents) |
| Licensing | Free Personal edition; licensed Team, Dept, Enterprise | Enterprise licensing (execution-based pricing) |
Editions & Pricing
| InTouch AI Personal | InTouch AI Team | InTouch AI Dept | InTouch AI Enterprise | Automic Automation |
| Price | Free — forever | Licensed | Licensed | Licensed | Enterprise pricing (contact sales) |
| Target User | Individuals, students, home labs | Small teams | Departments | Large organizations | Large enterprises only |
| Installation | Seconds | Seconds | Seconds | Seconds | Weeks to months |
| Free Tier | Yes | No | No | No | No |
Workflow Design & Tools
With Automic you start at a blank object and write Automic Script. With InTouch you find it and run it: a library of ready-to-run tools, skills, and jobs — install, point at your setup, run, in your own language. Start from something that works, not a blank page. Describe intent; don't configure.
| Capability | InTouch AI (All Editions) | Automic Automation |
| Workflow Creation | Web UI + Job Files (jobs-as-code with dependency DAGs) | Rich UI + scripting language (Automic Script / JCL) |
| Learning Curve | Low — point-and-click. Accessible to non-developers. | Steep — proprietary scripting, complex object model |
| Tools | 60+ built-in: SQL (9 shipped + 4 drop-in), FTP/SFTP, SSH, HTTP, AWS (entire CLI v2), Google Workspace, Docker, AI (Anthropic x5, OpenAI, Gemini, Ollama), Excel, PDF, Git, LDAP, MongoDB, Cassandra, Essbase, TM1, JDE + 12+ YAML tools | Platform-specific agents and built-in job types |
| Plugin System | 18 IToolConnector JAR plugins with JSON Forms schema for dynamic UI | Agent extensions |
| Scripting | Not required (UI-driven). Job Files for code approach. | Automic Script language for advanced automation |
Scheduling & Triggers
| Capability | InTouch AI (All Editions) | Automic Automation |
| Schedule Types | 7 native types: Day, Week, Weekday, Weekend, Month/Specific, Month/Relative, Custom | Rich time-based scheduling with calendars, periods, intervals |
| Blackout Dates | Built-in holiday/blackout date support | Calendar-based exclusion periods |
| File Triggers | Built-in file trigger system — monitors files/dirs | FILE Events — monitor size, count, space, FTP, changes |
| Monitors | Built-in condition-driven Monitor system — YAML schedule + check + when arms | ASK_AI function for log analysis |
| Alert System | Dedicated alert entities with multi-channel notifications | Notification framework |
| SLA-Based | Not built-in | SLA management with predictive forecasting |
Credentials & Integrations
The vault is the trust floor: AES-256, referenced by name, never written into a script, never exposed — not even to the AI that uses it. Automic manages credentials; InTouch builds the whole engine on top of one.
| Capability | InTouch AI (All Editions) | Automic Automation |
| Databases | 14 via SQL tool + MongoDB, Cassandra dedicated tools | Database agents for major platforms |
| AWS Cloud | Built-in AWS tool wrapping entire AWS CLI v2 | AWS integration via agents |
| Google Workspace | Built-in (Gmail, Calendar, Drive, Sheets) | Not built-in |
| Enterprise | Essbase, TM1, JDE tools built-in | Deep SAP integration (R/3, S/4HANA, BTP, BOBI) |
| Data Tools | Excel, PDF, DataFrame, MongoDB, Cassandra, Git, LDAP | Via agents |
| AI Services | Anthropic (5 types), OpenAI, Gemini, Ollama — native | ASK_AI function (limited) |
| Mainframe | Not supported | z/OS, AS/400, BS2000 agent support |
| Agent Model | Agentless (direct connections) | Agent-based (up to 100,000 agents) |
| Security | AES-256 encrypted credentials, CyberArk | TLS, enterprise credential management |
Messaging Channels
| Capability | InTouch AI | Automic Automation |
| Outbound Notifications | 8 channels per subscriber on success/failure/warning (Email, Slack, Discord, Telegram, SMS, WhatsApp, Teams, LINE) | Enterprise notification framework |
AI Capabilities
This is the line that doesn't move. Automic's ASK_AI is a function bolted onto a config-era core for log analysis — a feature beside the engine. InTouch's AI is the engine. You can add a function to a platform; you cannot grow it a center. AI-native versus AI-retrofitted.
| Capability | InTouch AI | Automic Automation |
| AI Tools | Anthropic (5 types), OpenAI, Gemini, Ollama — all editions | ASK_AI function for log analysis |
| Agentic Assistant | 76 tool_use functions for natural language automation | Not available |
| Local AI | Ollama — free, private, auto-detected | Not available |
| Skills | Native InTouch AI skills (SKILL.md) + 5,000+ OpenClaw skills from upstream ClawHub (auto-install, converted to YAML) | Not available |
| MD Skills | InTouch AI-native markdown skills | Not available |
| MCP Server | Built-in for Claude Code and other AI tools | Not available |
Scalability
| Capability | InTouch AI | Automic Automation |
| Scale | Single server, hundreds to thousands of jobs | 100,000 agents, 100 million jobs per instance |
| Clustering | Not built-in | Fault-tolerant engine clustering |
| High Availability | Application-level (restart) | Built-in HA with automatic failover |
| Resource Overhead | Single JVM process, lightweight | Multi-component: engine, agents, DB, web server |
Total Cost of Ownership
| Factor | InTouch AI | Automic Automation |
| License Cost | Free (Personal) to commercial. Start for $0. | High enterprise pricing (execution-based) |
| Implementation | Self-service, seconds to install | Professional services, weeks to months |
| Training | Low — intuitive UI | Significant — proprietary scripting language |
| Infrastructure | 1 server, minimal resources | Multiple servers, agents, dedicated DB |
| Agent Deployment | None required (agentless) | Agent on every target system |
Summary: When to Choose What
| Choose InTouch AI When You Need | Choose Automic When You Need |
| A platform that grows with you — free for individuals, scales to enterprise | Enterprise-scale automation across 100,000+ agents |
| 60+ built-in tools with no coding, accessible to anyone | Deep SAP/ERP integration (S/4HANA, BTP, BOBI) |
| Agentic AI assistant with 76 tool_use functions and 8-channel outbound notifications (Email, Slack, Discord, Telegram, SMS, WhatsApp, Teams, LINE) | Mainframe automation (z/OS, AS/400, BS2000) |
| AWS tool wrapping entire AWS CLI v2 + Google Workspace | SLA management with predictive forecasting |
| Job Files for jobs-as-code with dependency DAGs | Fault-tolerant clustering with zero-downtime upgrades |
| Zero-cost local AI via Ollama — sovereign, no data leaves the network | Multi-tenancy with strict namespace isolation |
| 5,000+ OpenClaw skills + MD skills for AI-driven automation | Fault-tolerant clustering with zero-downtime upgrades |
| Low total cost of ownership — start free, scale when ready | Advanced analytics and automation intelligence (AAI) |
| Agentless architecture — no software on targets | Proven at massive scale (100M jobs/instance) with HA/DR |