AI Proposes. Code Executes. Helm Controls.
Your LLM agents return a structured JSON proposal — never a raw write. Helm checks each one against deterministic rules you edit and audit like a workflow, then gates, logs, and makes reversible every API and MCP call before it touches a real system.
The enterprise AI impossible trade-off
Today, teams choose between two losing routes. Toggle to see what each one really costs you.
High flexibility, zero control
You give the LLM direct API access to your systems. The model hallucinates, writes bad data, or executes irreversible actions before anyone can blink.
High control, zero agility
You hard-code every business rule in your backend. Every edge case becomes a developer ticket. Your AI initiatives stall in a queue of pull requests.
One engine. Both directions.
The same four steps run on every structured JSON proposal — whether the agent is shaping data coming in or firing an API or MCP call going out. Pick a scenario, hit run, and watch it flow through Helm.
what it wants to do and why. No raw writes.undo path.Every AI move, on one screen
Once Helm sits between your agents and your systems, you get a single command center. Switch between the live overview, the full action log, your editable rules, and every connected system — all governed, all reversible.
Proposal volume
last 7 daysView report →Connected systems
8 activeManage →Pending your approval
2 in queueOpen Action Log →| Time | Action | Agent | Target | Verdict |
|---|
Enterprise governance for the autonomous era
Four pillars that turn any LLM agent — and any data source — into a system you can deploy to production.
Rules as a Versioned Workflow
Define mappings, thresholds, spending limits and policies as a workflow you edit in plain language with the LLM. Every revision is diffed, audited, and reversible — adjust on the fly, no redeploy.
End-to-End Logbook
Every API and MCP call the agent makes is recorded. Trace any action back through the rule that allowed it, the JSON proposal, the data it read, and the source record it came from.
Instant Rollback
The original is always preserved. Reverse or edit any AI-driven entry with a single click — no DB surgery.
Human-in-the-Loop Gates
Configurable approval checkpoints. High-risk actions wait for sign-off; low-risk actions flow seamlessly.
Not observability. Not text filters. Execution control.
Observability tools tell you what went wrong after the fact. Helm prevents the mistake from hitting production in the first place — and gives you a literal undo path when needed.
Guardrails filter text inputs and outputs. Helm governs the underlying data layer and system execution — where the actual business risk lives, in dollars, contracts, and customer records.
Complete the data picture
ContentAtlas brings the data in clean — governing every row from SAP, Salesforce, and SQL into a validated, traceable pipeline. Helm keeps the agents that act on that data under control. Together they close the loop: data in, actions out, every step auditable.
Stop choosing between AI velocity and systemic risk.
Put your enterprise back at the helm. See how our control layer wraps your data and your LLM agents in a 30-minute technical deep-dive.
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