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Centralpoint AI Governance

Centralpoint AI Governance
1

Scheduled Data Aggregation & Curation

Scheduled indexing and ingestion across your many, multiple silos of data (internal or external) resulting in a singular source of truth for all by channel and role(s).

X

Excel

Columnar data, tables, and business metrics.

Columnar DataTables
F

File Folder

Docs, PDF, video, and mixed enterprise files.

DocsPDFVideo
DB

Database

Rows, records, and operational business data.

RowsRecords
☁

Cloud / OneDrive

Cloud files and synchronized document stores.

FilesDocs
SP

SharePoint / O365

Pages, lists, and governed Microsoft content.

PagesDocs
<>

API / JSON / XML

Structured feeds and machine-readable inputs.

JSONXML
X
F
DB
☁
SP
<>
Centralpoint server animation
Installed On Premise
Your Cloud
Managed Hosted Services
2

Unified AI / NLS Index Mapping

Each record, whether manually submitted or ingested through scheduled data transformation, is mapped once and governed for both federated search and segregated AI retrieval.

Centralpoint Unified Index (AI/NLS)

Centralpoint transforms each governed record so authorized attributes can serve both NLS semantic search and the segregated AI Vector Index. Only records or modules / collections granted permission to map into the AI Index are actually mapped.

Centralpoint Transformation (Save to Index) Pipeline

Shows how any record manually submitted, migrated, or bulk-ingested through data transformation maps each record’s attributes to the appropriate AI Vector Index or NLS semantic fields. Only records or modules / collections granted permission to map into the AI Index are actually mapped.

Centralpoint GRAIL (Governed RAG) vs. Ordinary RAG

Centralpoint's Governed Architecture protects the business from sharing how they do business, while increasing retrieval speed and relevance.

Centralpoint AI Egress

Centralpoint's governed egress protects your business logic from the AI while making retrieval faster and more relevant. The same filters that keep your skills, prompts, and user activity segregated also narrow the search space before retrieval begins — turning governance into a performance feature instead of a trade-off. And because the prompts, skills, and retrieval index live in Centralpoint rather than the vendor, you can swap AI providers — cloud or on-premises — without rebuilding a thing.

3

Localized AI Governance over the way you do business

Protecting and segregating how you do business and your proprietary processes.

Centralpoint SKILLS

Centralpoint SKILLS allows you to keep your proprietary methods, processes and organizational knowledge close to the vest, where the integration with AI, is only used to call the prompt also managed within Centralpoint.

AI Skills

Centralpoint PROMPTS

Conditions based dynamic data sources capable of rendering charts, sending alerts, chat dialogue, decision trees or more, based on the user's channel, role(s) and history.

AI Prompts

Compound Engineering (Learning)

Tracks prompt success rates by user and outcome, allowing Centralpoint-managed skills and prompts to continuously improve relevance and better serve users.

Compound Learning
4

Multiple LLM Models Supported

Giving you choice to easily toggle between this growing list of LLMs, including cloud-based generative models and embedded local models.

Generative LLM Models

GEMINI

Google Gemini model family available as a supported generative option.

Gemini

CLAUDE

Anthropic Claude models available as a supported generative option.

Claude

OPENAI

OpenAI models available as a supported generative option.

OpenAI

COPILOT

Microsoft Copilot available as a supported generative option.

Copilot

GEMINI.MIL

Gemini.mil available as a supported generative option.

Gemini.mil
Embedded (Local) LLM Models

LLAMA

Meta LLAMA models available as supported embedded local options.

LLAMA

QWEN

Qwen models available as supported embedded local options.

Qwen

ONNX

Onyx available as a supported embedded local option.

Onyx
5

Multiple Chatbot Syndication (Across Multiple Channels)

Apply to any existing web application, public or private, to discern each user's channel, role, and past history utilizing SKILLS and PROMPTS which you control, giving strict, limited, metered access to AI to only the information you want, and without learning your proprietary practices.

CB

Chatbot Delivery

Secure context-aware conversational delivery across sites and apps, with activity retained internally.

Chatbot 1
CH

Channel Awareness

Works across multiple channels while recognizing user context, role, and history.

Chatbot 2
AI

Metered AI Access

Strict, limited, controlled access to AI without learning your proprietary practices.

Chatbot 3
6

User AI Interaction 360

Capturing all user AI interaction within Centralpoint (not depending on the storage within the LLM), curating their needs, roles and channels, allowing each interaction's prompts to service their needs (and those with similar interests).

Interaction Capture

All prompts, responses, and behaviors are retained internally.

User Context Intelligence

Continuously curates user-specific context across channels and roles.

Collaborative Signal Learning

Aligns responses using patterns from users with similar interests and activity.