Make AI safe for mission-critical production.
Streaming data and AI generate insight. But in high-stakes systems, decisions must be correct, consistent, and recorded as authoritative truth the moment they’re needed. Volt is the real-time decisioning layer that evaluates AI recommendations, grounds them in authoritative operational state, and decides what actually happens.
The Missing Layer Between Signals and Action
Most architectures have the insight. What they lack is the layer that turns it into safe, consistent decisions.
Ground AI in authoritative real-time state
Volt exposes operational intelligence through structured APIs (MCP tools) so AI agents reason from current, accurate data — not stale snapshots.
Make AI advisory, not authoritative
Volt applies deterministic rules to AI recommendations so the same conditions always produce the same decision, even when AI inputs vary.
Record one correct decision at a time
Decisions are recorded atomically as authoritative truth. Systems act on what Volt decides — consistently, under sustained load.
Capture the complete decision chain
Every decision records what AI queried, what it recommended, what Volt decided, and why — creating a complete audit trail for compliance, explainability, and model retraining.
The AI-in-Production Challenge
The problem isn’t insight. It’s safe execution.
- AI is probabilistic. High confidence is not the same as correctness. The same inputs can produce different outputs.
- AI can’t run on every event. At millions of events per second, the economics and latency of AI inference make per-event execution impractical and unnecessary.
- The gap is where risk lives. Most architectures push decisions across multiple layers, so the right decision happens too late, on an inconsistent state, without a reliable audit trail.
Volt handles 99%+ of decisions deterministically using established rules and real-time state. AI is invoked where it adds genuine value: ambiguous situations, novel patterns, and cases that benefit from contextual reasoning and human judgment. That’s the DAD principle — Deterministic control in, Agency for intelligent interpretation, Deterministic decision out.
How Volt Works With AI in Practice
Three tiers. One consistent decision framework.
- Tier 1: Routine decisions (99%+) Handled deterministically by Volt in microseconds. No AI needed, no latency, no cost. Fast, correct, consistent.
- Tier 2: Ambiguous decisions Traditional ML model outputs — fraud scores, risk ratings, anomaly signals — are incorporated as inputs alongside real-time state and business rules. Volt evaluates them deterministically and records the final decision as authoritative truth.
- Tier 3: Novel decisions Complex situations escalate to human reviewers, with AI agents assisting. Agents query Volt’s operational intelligence via MCP tools during reasoning — getting real-time balances, transaction history, behavioral context — not stale batch data. The human makes the final decision. Volt captures the complete chain: what the agent queried, what it recommended, what the human decided and why. That chain feeds ML model retraining and agent fine-tuning so today’s edge case becomes tomorrow’s routine decision.
AIOps in telecom networks
Operators want to predict congestion and failures and automate remediation, but AI alone can’t safely run the network. State changes in milliseconds. Conflicting recommendations can worsen outages. And when an AI agent recommends a remediation, it needs to reason from the current network state, not yesterday’s data.
Volt provides the operational intelligence agents query during reasoning, evaluates their recommendations against deterministic rules, and records one correct decision at a time. Human operators stay in the loop for novel scenarios — with a full record of what the agent analyzed and recommended.
How safe is your AI automation in production?
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