1) Orchestrates multi-step workflows
An AI task is rarely one step. It is usually 5 to 20. AI Controller coordinates the full sequence end-to-end.
AI Controller
Run your AI agents like a real operation.
Turn scattered automations into a controlled system: approvals, routing, retries, logs, costs, and reporting.
AI Connector moves data. AI Controller runs the work.
If you want agents that do not break, do not hallucinate steps, and do not silently fail, you need a controller.
What AI Controller is
AI Controller is the orchestration layer for AI tasks. It decides what happens next, enforces rules, handles failures, records outcomes, and gives you a clear dashboard of everything your agents are doing.
Think of it as the traffic control tower for your AI workflows.
Who it is for
- Business owners who want AI to drive real output (not experiments)
- Ops teams who need approvals + audit trails
- Sales, recruiting, finance, and support teams automating repeatable workflows
- Anyone running multiple automations across tools, vendors, or agents
What it does
2) Enforces rules and approvals
Use human-in-the-loop when needed, auto-approve low-risk tasks, and escalate only when confidence is low.
3) Makes automations reliable
Retries, timeouts, and fallbacks are built in so failures do not silently disappear.
4) Tracks cost, time, and ROI
Measure cost per task, time saved per workflow, volume, success rate, and bottlenecks.
5) Keeps everything auditable
See logs of prompts, actions, and data flow, plus who approved what and what changed.
Why this matters
Most companies try AI tools and end up with random automations, no visibility, and no ROI proof.
- Random automations running in the background
- No visibility into what happened
- No control when something breaks
- No way to measure ROI
AI Controller fixes that with operational control, reporting, and predictable outcomes.
Agent vs human cost
Human processes carry switching context, copy/paste, manual checks, follow-ups, and missed steps.
With AI Controller you get consistent workflows, optional approvals, clear cost per task, and measurable time savings.
Result: scale automation without losing control.
AI Controller vs AI Connector
AI Connector
- Connects apps and moves data
- Triggers workflows
- Sends and receives information
AI Controller
- Runs the workflow logic
- Routes tasks to the right agent, tool, or human
- Handles approvals, retries, and fallbacks
- Logs everything and measures ROI
Best together: Connector provides the pipes. Controller runs the factory.
Examples
- Recruiting: Inbound applicant -> enrich profile -> score -> schedule -> generate interview kit -> log outcome
- Sales / Lead Gen: New lead -> qualify -> enrich -> personalized outreach draft -> approval -> send -> follow-up sequence
- Finance / Accounting: Invoice arrives -> extract fields -> compare vs PO -> flag mismatches -> approve -> push to accounting system
- Support: New ticket -> classify -> pull account context -> draft response -> approve -> send -> tag + log
- Operations: New request -> route -> gather info -> execute steps -> confirm completion -> report
Core features
- Workflow builder (tasks, steps, dependencies)
- Policy rules (approval gates, confidence thresholds)
- Human-in-the-loop controls
- Tool + agent routing
- Retries + fallbacks
- Full audit logs
- Analytics dashboard (cost, time, success rate)
- Multi-tenant support (if you want it later)
Technical section
AI Controller is designed to work with any LLM provider, your tools via API, and AI Connector.
- Any LLM provider (OpenAI, Anthropic, and others)
- APIs for CRM, ATS, helpdesk, Slack, and email tools
- AI Connector for clean integrations
It stores task definitions, step outcomes, inputs/outputs, logs, and metrics.
Join the waitlist
Ready to run AI like a system, not a demo? Join the waitlist and we will reach out when AI Controller opens.
FAQ
Is this replacing my team?
No. It replaces repetitive steps and gives your team controlled workflows so people can focus on decisions and exceptions.
Do I need developers?
Not for common workflows. For advanced custom systems, yes, but you should need far less engineering than before.
Can I start with Connector only?
Yes, but you will hit a ceiling fast. Connector moves data. Controller makes automation reliable and measurable.
How do you price it?
Typically by tasks per month, number of connectors/tools, and optional premium features like advanced analytics and multi-tenant controls.