Granted Patent B1

US 12,572,830 · App. 19/315,849 · Granted Mar 10, 2026

Inventors: Brian Galvin (Silverdale, WA); Alan McCord (Forney, TX)

Assignee: AtomBeam Technologies Inc.

G06N5/04G06Q10/067

Abstract

Claims (72)

1 . A computing system for enterprise hierarchical cognitive processing, the computing system comprising:

one or more hardware processors configured for:

initializing an enterprise hierarchical persistent cognitive machine architecture comprising a chief executive officer personal cognitive machine (CEO-PCM) and a plurality of functional domain persistent cognitive machines (PCMs) corresponding to organizational departments;

implementing a supervisory network layer that adapts underlying language model processing to enterprise-specific dialect and organizational communication patterns;

routing user prompts through the enterprise hierarchical architecture based on user authority level and prompt sensitivity classification;

synthesizing cross-functional insights by collecting domain-specific knowledge from the plurality of functional domain PCMs and integrating the knowledge into the CEO-PCM;

enforcing domain-specific compliance requirements during cognitive processing through compliance modules associated with the plurality of functional domain PCMs;

automatically adapting the enterprise hierarchical architecture in response to detected organizational changes by redistributing knowledge between the plurality of functional domain PCMs; and

maintaining persistent cognitive states across the enterprise hierarchical architecture including thought cache contents and organizational relationship models.

2 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for:

generating thoughts representing intermediate reasoning steps using the functional domain PCMs; and

caching the generated thoughts in a multi-tier thought cache hierarchy comprising local user caches, domain-specific branch caches, and enterprise collective caches.

3 . The computing system of claim 2 , wherein the multi-tier thought cache hierarchy implements:

graduated access controls between cache tiers based on information sensitivity; and

privacy protection mechanisms that prevent unauthorized cross-domain knowledge access.

4 . The computing system of claim 1 , wherein routing user prompts comprises:

analyzing prompt content to determine required functional domain expertise; and

escalating prompts to supervisory levels when user authority is insufficient for direct processing.

5 . The computing system of claim 1 , wherein the supervisory network layer comprises:

an enterprise dialect processor that adapts vocabulary and communication styles; and

an organizational context manager that injects hierarchy-aware information into cognitive processing.

6 . The computing system of claim 1 , wherein synthesizing cross-functional insights comprises:

detecting conflicts between domain-specific knowledge from different functional domain PCMs; and

resolving the conflicts using enterprise priority frameworks.

7 . The computing system of claim 1 , wherein the one or more hardware processors are further configured for:

entering sleep states during periods of reduced user activity; and

performing memory consolidation and cross-domain insight generation during the sleep states.

8 . The computing system of claim 1 , wherein automatically adapting the enterprise hierarchical architecture comprises:

monitoring organizational announcements for structural changes;

creating adaptation plans for PCM architecture modifications; and

validating adapted architecture through systematic testing.

9 . The computing system of claim 1 , wherein the CEO-PCM comprises:

an executive cognitive core that provides strategic decision support; and

an enterprise thought cache that maintains strategic knowledge and cross-functional patterns.

10 . The computing system of claim 1 , wherein maintaining persistent cognitive state comprises:

serializing cognitive states including thought cache contents and relationship models; and

restoring complete cognitive state upon system restart to preserve enterprise knowledge continuity.

11 . A computer-implemented method for enterprise hierarchical cognitive processing, the method comprising the steps of:

initializing an enterprise hierarchical persistent cognitive machine architecture comprising a chief executive officer personal cognitive machine (CEO-PCM) and a plurality of functional domain persistent cognitive machines (PCMs) corresponding to organizational departments;

implementing a supervisory network layer that adapts underlying language model processing to enterprise-specific dialect and organizational communication patterns;

routing user prompts through the enterprise hierarchical architecture based on user authority level and prompt sensitivity classification;

synthesizing cross-functional insights by collecting domain-specific knowledge from the plurality of functional domain PCMs and integrating the knowledge into the CEO-PCM;

enforcing domain-specific compliance requirements during cognitive processing through compliance modules associated with the plurality of functional domain PCMs;

automatically adapting the enterprise hierarchical architecture in response to detected organizational changes by redistributing knowledge between the plurality of functional domain PCMs; and

maintaining persistent cognitive states across the enterprise hierarchical architecture including thought cache contents and organizational relationship models.

12 . The method of claim 11 , further comprising:

generating thoughts representing intermediate reasoning steps using the functional domain PCMs; and

caching the generated thoughts in a multi-tier thought cache hierarchy comprising local user caches, domain-specific branch caches, and enterprise collective caches.

13 . The method of claim 12 , wherein the multi-tier thought cache hierarchy implements:

applying graduated access controls between cache tiers based on information sensitivity; and

preventing unauthorized cross-domain knowledge access through privacy protection mechanisms.

14 . The method of claim 11 , wherein routing user prompts comprises:

analyzing prompt content to determine required functional domain expertise; and

escalating prompts to supervisory levels when user authority is insufficient for direct processing.

15 . The method of claim 11 , wherein the supervisory network layer comprises:

adapting vocabulary and communication styles through an enterprise dialect processor; and

injecting hierarchy-aware information into cognitive processing through an organizational context manager.

16 . The method of claim 11 , wherein synthesizing cross-functional insights comprises:

detecting conflicts between domain-specific knowledge from different functional domain PCMs; and

resolving the conflicts using enterprise priority frameworks.

17 . The method of claim 11 , further comprising the steps of:

entering sleep states during periods of reduced user activity; and

performing memory consolidation and cross-domain insight generation during the sleep states.

18 . The method of claim 11 , wherein automatically adapting the enterprise hierarchical architecture comprises:

monitoring organizational announcements for structural changes;

creating adaptation plans for PCM architecture modifications; and

validating adapted architecture through systematic testing.

19 . The method of claim 11 , wherein the CEO-PCM provides:

strategic decision support through an executive cognitive core; and

strategic knowledge storage through an enterprise thought cache that maintains cross-functional patterns.

20 . The method of claim 11 , wherein maintaining persistent cognitive state comprises:

serializing cognitive states including thought cache contents and relationship models; and restoring complete cognitive state upon system restart to preserve enterprise knowledge continuity.

Assignments (1)

Continuity (15)

References Cited (56)