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CogniverseAI

Technology · Orchestration and decision intelligence

CogniGraph

Connect data, BI, AI, rules, people and workflows into decisions that reach action.

Submit an inquiryIntelligent Decision Systems

Overview

Decisions depend on disconnected systems and manual workflows.

The dashboard is in one tool, the model in another, the policy in a document, the approval in email. Nobody can reconstruct why a decision was made or repeat it the same way next quarter.

CogniGraph connects the intelligence your enterprise already has with the decisions it needs to make. It is not another dashboard, chatbot or agent framework. It is the layer that coordinates them: it knows how your data, metrics, models, rules and people relate, and it carries a decision from question to action with a record of every step.

The question it answers: Who decides, on what basis, and what happens next?

How it works

How CogniGraph connects an enterprise to its decisions.

Data, KPIs, context, AI models, rules and people feed one layer. It produces a decision, carries it to action, and records the outcome so the next decision is better informed.

Data, KPIs, context, AI models, rules and people feed CogniGraph, which produces a decision that leads to action. The outcome of the action is recorded back into CogniGraph so it learns.Governed numbers from the warehouse and semantic layerDataOne definition per measure, shared by every teamKPIsProducts, stores, suppliers, owners and their relationshipsContextForecasts and recommendations from Cogni-AIAI modelsPolicies, thresholds and approval rulesRulesHuman judgment where policy requires itPeopleCogniGraphconnect · govern · routeDecisionActionoutcome recorded · learn

What CogniGraph covers

Inside CogniGraph.

Orchestration and decision intelligence.

  1. 01

    An enterprise knowledge graph

    Entities, metrics, rules, systems and owners held as relationships, so a question can be routed to the right evidence and the right people.

  2. 02

    Orchestration of data, BI and AI

    One decision path that pulls the trusted numbers, calls the relevant models or agents and applies the business rules, in order.

  3. 03

    Governed decision paths

    Automatic where policy allows, human judgment where it is required, escalation when confidence is low, and an explanation every time.

  4. 04

    Action and learning

    Decisions pushed into the workflow or system that carries them out, and the outcome written back so the next decision is better informed.

For architects: how it is built
  • Core ontology and graph schema covering entity types, relationship types, cardinality and attributes
  • REST and GraphQL API layer for external systems to query, create and update graph entities
  • Natural-language querying over the graph, a visual explorer for business users, and multi-tenant isolation: on the roadmap
  • Designed to sit on top of the client's existing data platform, BI tool and models rather than replace them

In short

  • Core ontology and graph schema covering entity types
  • REST and GraphQL API layer for external systems to query
  • Natural-language querying over the graph

The loop

Six steps, every time.

Every decision that passes through CogniGraph follows the same loop. That is what makes decisions consistent across teams and explainable afterwards.

  1. 01

    Understand

    Holds the enterprise's entities, metrics, rules and relationships in one graph.

    Draws on: Cogni-Data, the ontology

  2. 02

    Analyze

    Puts performance in context: which KPIs, which systems, which owners.

    Draws on: Cogni-BI

  3. 03

    Reason

    Brings models and agents to the question, within business rules.

    Draws on: Cogni-AI, rules, context

  4. 04

    Decide

    Routes to the right path: automatic where allowed, human judgment where required, always explainable.

    Draws on: Governance, confidence, escalation

  5. 05

    Act

    Pushes the decision into the workflow or system that carries it out.

    Draws on: APIs, integrations

  6. 06

    Learn

    Records the decision and its outcome back into the graph.

    Draws on: Audit trail, feedback

Illustrative walkthrough

One replenishment decision, step by step.

A worked example in prose, not a screen from the product. It shows what each step of the loop does for a single, everyday retail decision.

  1. 01Understand

    A buyer asks whether to increase next week's order for a fast-moving product across a group of stores. CogniGraph identifies what that question touches: the product and its suppliers, the stores, the sales and stock measures, the replenishment policy, and the people who own the decision.

  2. 02Analyze

    It pulls the governed numbers behind those measures from the warehouse and the semantic layer: recent sales by store, current stock, incoming deliveries and margin, all calculated the same way the dashboards calculate them.

  3. 03Reason

    It calls the demand forecast for the product and applies the business rules that apply to this category: minimum stock, supplier lead time, promotion calendar and the spend threshold that requires a manager's approval.

  4. 04Decide

    It assembles a recommendation with its evidence and confidence. Because the order value crosses the approval threshold, the decision is routed to the category manager rather than approved automatically, with the reasoning shown.

  5. 05Act

    Once approved, the order quantity is written to the purchasing system and the stores are notified. Nobody re-keys a number.

  6. 06Learn

    The decision, who made it, the evidence it rested on and the resulting sell-through are recorded back into the graph, so the next forecast and the next recommendation are better informed.

Illustrative example. Product names, thresholds and outcomes are invented to show the mechanism; they are not client data or a live product screen.

Status

Where CogniGraph is today.

CogniGraph is in active development. The core graph and its API are in place; natural-language querying and the visual explorer are on the roadmap. We work with a small number of design partners.

Powered by the CogniverseAI stack

CogniGraph in the stack.

Trusted data, a shared view of performance, intelligence that predicts and recommends, and a layer that connects it all to decisions.

Services

Services that build CogniGraph.

The layer is delivered inside an engagement, in your environment, and handed over to your team.

What changes

Decisions that are faster, consistent across teams, explainable to a board or a regulator, and connected to the action that follows.

See how CogniGraph would work on one of your decisions.

Bring one decision your organization makes every week. We will map what it rests on, where it gets stuck, and what it would look like running through the loop.

  1. 01

    Send a message

    Tell us what you are trying to decide and what your data looks like today.

  2. 02

    A 60-minute conversation

    Where your decisions are made today, what they rest on, and where the gaps are.

  3. 03

    A written summary you keep

    What we heard, what we would look at first, and what an engagement could look like.

Talk to CogniverseAIor write to info@cogniverseai.net