Decision-ready signalsfor responsible AI adoption.
SignalAct delivers a signal catalog framed around leadership decisions: adoption shifts, emerging dependencies, and sensitive workflow influence. Each signal is described at the outcome level—what it means and why it matters. SignalAct also provides truth layer signals that reveal real AI adoption patterns, workflow harvesting opportunities, and agentic layer emergence.
Signals that drive decisions
Our enterprise signal engine transforms raw data into decision-ready insights for CIOs and governance teams. SignalAct signals help enterprise leadership understand AI adoption patterns and make informed governance decisions.
Adoption signals
Understand where adoption is accelerating, where it's stuck, and where enablement unlocks value. Get real insights into AI adoption patterns across your enterprise—see actual usage data, not assumptions.
See where adoption is strengthening and where leadership attention is needed.
Identify where guidance or training can unlock responsible adoption.
Spot adoption patterns that can be replicated across units.
Reduce ambiguity so leaders can allocate support effectively.
See actual AI usage across workflows and teams. Understand where adoption is real versus experimental.
Get real data about how AI tools are being used, not estimates or assumptions about adoption.
See where AI is actually integrated into workflows versus where it's just being tested.
Make strategic decisions about AI investment based on real usage data, not assumptions.
Dependency signals
See where AI is becoming a dependency in how work gets done—so ownership stays ahead of outcomes. Also identify where workflows are being transformed by AI for productivity gains and process efficiencies.
Indicates when AI becomes operationally important in a team's daily work.
Highlights when reliance expands across adjacent teams.
Supports earlier decisions on accountability and governance response.
Improves clarity for tool strategy and responsible scaling.
See where traditional workflows are being reimagined with AI, revealing productivity opportunities.
Identify workflows delivering measurable time savings and process efficiency improvements.
Measure real productivity gains from AI adoption—quantify the impact on enterprise processes.
Discover opportunities to optimize processes based on workflow harvesting insights.
Sensitive workflow signals
Help governance teams understand where sensitive workflows are being influenced—so policy stays aligned. Also understand how autonomous AI agents are emerging in enterprise processes.
Indicates where governance guidance should be clarified earlier.
Encourages decisions that are explainable and defensible.
Helps teams align calmly without friction.
Supports safer scaling of AI adoption over time.
See where autonomous AI agents are emerging in enterprise processes and workflows.
Understand what processes agents are optimizing and their real impact on efficiency.
Measure how agentic layer is transforming workflows and delivering productivity gains.
Plan for agentic layer expansion based on real visibility into agent emergence patterns.
We focus on your decision priorities and stakeholder alignment. Private demos available by invitation; general availability planned after January.