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Alignment Intelligence™

AI that informs leaders — never replaces them

How Live Aware uses AI — for CIOs, CTOs, and transformation leaders evaluating the stack.

Not a generic LLM on your data. An intelligence layer for alignment — evidence in, humans decide. For security detail, open Trust Center. For what you can buy, go to Solutions.

AI philosophy

Intelligence layer. Human decision.

Evidence
Alignment Intelligence
Human Decision

AI sits between evidence and action. It never owns the decision.

How it works

Evidence → decision

Six steps. One rule: leadership last.

Evidence

Observations

Alignment Intelligence

Context-aware reasoning

Insights

Recommendations

Ranked · explainable

Human Decisions

Leaders decide

Core principles

Seven trust boundaries

Human-in-the-loop

AI prepares. Leaders commit.

Explainable AI

Reasoning and evidence — not opaque scores.

Evidence-based

Organizational signals — not internet knowledge.

Context-aware

Your strategy and culture — not generic prompts.

Longitudinal memory

What the organization learned stays available.

Permission-driven

Role and scope boundaries — always enforced.

No black-box decisions

No auto-executed strategy or HR actions.

Enterprise architecture

Where intelligence sits

Enterprise Data
Evidence Layer
Alignment Intelligence
Products
Leadership

High-level stack — not an engineering spec.

Roadmap

Current · Next · Future

Current

  • Pattern detection

Next

  • Predictive drift detection

Future

  • Enterprise simulation
  • Scenario planning

FAQ

Questions executives ask

Short answers on transformation, Enterprise OS, modules, intelligence, AI, and how to start.

Alignment Intelligence™ is the discipline—and category—focused on continuously understanding, measuring, and improving organizational alignment.

No. Alignment Intelligence is an evidence-based intelligence layer inside Enterprise OS — it ranks and explains recommendations; leaders always decide.

No. Human-in-the-loop is a design requirement — AI informs, explains, and recommends; consequential actions require leader approval.

No. Organizational data is not used to train public foundation models. Customer data remains customer-owned with tenant isolation.

Today: pattern detection across organizational signals. Next: predictive drift detection. Future: enterprise simulation and scenario planning.

Share with security — or choose a solution.

Trust Center for IT and procurement. Solutions when you are ready to buy. Demo when you want a walkthrough.