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ALG™
Alignment Logic Graph™

Make alignment executable. Not aspirational.

Most organizations say they want aligned AI. Very few can show where alignment lives, when it’s enforced, or how it propagates through decisions.

 

ALG™ is a logic architecture that turns strategic intent, ethical constraints, and operational realities into explicit, testable, and governable decision logic for agents. Alignment stops being a value statement. It becomes a system property.

The Problem ALG™ Solves

AI failures rarely come from malicious models or missing policies. They come from implicit alignment assumptions:

  • Strategy is documented, but not encoded

  • Ethics are stated, but not enforced at runtime

  • Operations move faster than governance can interpret

  • Agents optimize locally while organizations think globally
     

The result is drift:

  • Agents act “correctly” but not appropriately

  • Decisions comply technically but violate intent

  • No one can explain why a choice was allowed—only that it was
     

ALG™ exists to stop alignment drift before it compounds.

What ALG™ Is

ALG™ (Alignment Logic Graph™) is a formal logic layer that defines how alignment is represented, evaluated, and enforced across agent decisions.

It maps:

  • Strategic objectives

  • Ethical constraints

  • Operational rules

  • Escalation thresholds

  • Human judgment points
     

into a graph-based logic architecture that agents must traverse before action.

If a decision cannot satisfy alignment conditions, it cannot proceed silently.

What Makes ALG™ Different

Alignment as Logic, Not Language

ALG™ replaces narrative alignment (“be responsible,” “act ethically”) with explicit logical conditions agents must satisfy

Decision-Time Enforcement

Alignment is checked at execution, not audited after damage is done.

What You Get with ALG™

  • A formal Alignment Logic Graph tailored to your organization

  • ​Continuous governance monitoring

  • Explicit definitions of:

    • What alignment means here

    • Where it is enforced

    • Who decides when it fails

  • Clear escalation and override rules

  • A reusable logic asset that integrates with:

How ALG™ Is Deployed

  • Standalone alignment architecture

  • Integrated with existing agent workflows

  • Used as:

    • A design artifact

    • A governance reference

    • A runtime logic layer

Deployment scales with organizational maturity without forcing premature automation.

Cross-Domain Coherence

Strategy, ethics, and operations are not separate documents; they are interdependent nodes in a single executable structure.

Designed for Humans in the Loop

ALG™ defines where judgment is required, not where humans are merely consulted.

Who ALG™ Is For

  • Leadership teams deploying agentic systems

  • Organizations moving from pilots to real autonomy

  • Regulated or high-consequence environments

  • Teams tired of debating “responsible AI” without operational clarity

What ALG™ Is Not

  • Not a policy document

  • Not an ethics framework

  • Not a compliance checklist

  • Not a static architecture diagram

ALG™ is a decision logic system designed to run alongside your agents,

Typical Outcomes

Organizations using ALG™ can clearly answer:

  • What did alignment mean at the moment this decision was made?

  • Which constraints were binding—and which were discretionary?

  • Why was human judgment required (or not)?

  • Where would this decision have escalated if conditions changed?

  • That clarity is the difference between governed autonomy and plausible deniability

Design alignment once, then make it unavoidable.

We're Ready When You're Ready. Keep It Simple.

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