Put Your Knowledge to Work Before Anyone Has to Ask.

AI Signal Studio

Signals are autonomous AI agents that operate within clear rules, that you can set. They continuously monitor the connected systems and the knowledge within their scope. When they trigger, they bring forward the evidence and take approved action if a defined threshold is met. This makes them perfect for mission-critical AI where accuracy, cost, security and accountability matters. It keeps you ahead and ready for what comes next.

Try Them Out Now ➞

Your Business Changes Faster Than Your Documentation.

Regulations shift, customer questions spike, systems change, markets move, competitors advance, and content becomes outdated. Most knowledge platforms wait for someone to notice. By then, teams and AI may already be acting on information that is no longer accurate.

Make Every Signal Count

AI Signals continuously watch your connected knowledge for the conditions, changes, and patterns that matter to your business. When something important happens, it creates a traceable signal and sends it to the right AI agent.

That signal can surface an insight, run an analysis, launch a simulation, update content, alert a team, or start an approved workflow. Instead of waiting for someone to ask, your AI can respond as your business changes.

Define What Matters. Never Miss a Change.

AI Signal Studio is a pattern-detection agent built into the Enterprise Intelligence Engine™. You define what matters. It never stops checking.

You Define the Condition

Set conditions across your sources, entities, and concept groups. Pick the pattern that matters to your business.

It Monitors Continuously

AI Signal Studio watches for the states, changes, trends, and relationships you define. Nobody has to check by hand.

Evidence Gets Recorded

When a condition is met, the signal fires. The evidence behind it gets recorded in the Persistent Semantic Memory™.

Every Signal Is Traceable

Trace any signal back to the rule, the knowledge, and the evidence that caused it to fire.

Signals At Work

Financial Services and Insurance

  1. A regulatory feed flags a rule change.
  2. AI Signal Studio matches it to the documents it affects.
  3. Then it routes them straight to your compliance team.

Contact Centers

  1. Query volume spikes on one topic.
  2. AI Signal Studio alerts a KM admin.
  3. They review and update coverage before it turns into a ticket trend.

IT and Operations

  1. A change happens in a connected Confluence space.
  2. AI Signal Studio flags every procedure that references it.
  3. Each one goes to review before anyone follows outdated steps.

Build the Signals Your Business Needs

Go beyond waiting for someone to search or ask a question. Create signals that give you a live view of what is happening, so agents can recognize what matters and respond at the right time.

  • Start With Pre-Built Signals

    Monitor common patterns such as stale content, rising query volume, and compliance risks right out of the box.

  • Define Your Own Logic

    Pick from 25 operators to detect the states, changes, trends, and relationships that matter to your business.

  • Ground Every Signal in Evidence

    Each signal records the rule, knowledge, and supporting evidence that caused it to fire.

  • Trigger the Next Step

    Use signals to activate higher-level reasoning, deeper comparisons or trigger custom agents to analyze the situation and take action.

Frequently Asked Questions

Anything you define: a topic spiking, a document going stale, an outside feed flagging a change, or a pattern specific to your business. If you can describe the condition, AI Signal Studio can watch for it.

No. Common patterns like staleness, query volume spikes, and compliance flags come ready to use. When you are ready to build your own with there are 25 available operators out of the box to help you configure them.

No. Most signals run at a rule-based tier that never touches an LLM. AI Signal Studio only escalates to semantic or LLM-based checks when the pattern actually calls for judgment.

You can connect to signals via any agent using MCP, or to apps via an API. Signals also power most higher-level reasoning in the Enterprise Intelligence Engine’s core capabilities like Knowledge Health and the Intelligence Modules.

Yes. Any connected system has the conditions that signals monitor for stored in the Persistent Semantic Memory™. Signals monitor the entire memory and fires whenever a condition is met, regardless of if it came from one system or multiple systems.

Yes. Every signal is traceable back to the rule, the knowledge, and the evidence that caused it to fire.

Build your knowledge ecosystem

Connect knowledge pools of documents, conversations, media, data, and expertise with your Persistent Semantic Memory™ to ground your AI. Use our turn-key of connectors or build your own to connect to any enterprise systems.

Universal Connector Framework

Sign up for Innovation

The pace of innovation with AI is accelerating. Join an alpha group for early access to new turnkey Intelligence Modules, and help shape what comes next.

Get on the Waitlist