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Operational Data Fabric

Builds a coherent, current business context across CRM, ERP, communications and internal systems.

Live operating signalRecord changedContext verifiedNext action prepared →

Key COS domain

One reliable operating context for every decision.

Operational Data Fabric reconciles fragmented records, restores event chronology and gives people and agents the same current view of customers, orders, projects, payments and obligations.

Why this domain matters

CRM knows the deal, ERP knows the order, finance knows the payment and communication channels know the promise. Without a shared context, every decision begins with manual reconstruction and hidden contradictions.

Four capabilities that change the operating model

Operational Data Fabric

  1. 01Entity resolution across systems
  2. 02Event chronology and provenance
  3. 03Missing, stale and conflicting data detection
  4. 04Context delivery with role-based access

Three executive scenarios

01

A customer profile is assembled before a commercial decision

COS detects: Record changed.

02

An invoice, order and delivery discrepancy is detected automatically

It combines business context, policy, priority and risk before choosing the next step.

03

An AI agent receives only verified, permission-safe context

It initiates the controlled response: Unified entity profiles.

A controlled 90-day rollout

90

  1. Phase 1Weeks 1–2 — select one expensive process and establish the baseline
  2. Phase 2Weeks 3–4 — connect events, data and accountable owners
  3. Phase 3Weeks 5–8 — run decisions in recommendation and approval mode
  4. Phase 4Weeks 9–12 — automate safe actions and verify economic impact

Business results to prove

Faster response to critical eventsLower manual coordination loadFewer missed obligations and exceptionsClear ownership across teamsMeasured financial and operational effect

Business problem

Operational Data Fabric: Not another CRM. Not an AI chat.

In the Operational Data Fabric domain, critical signals are scattered across systems and teams. Decisions arrive late, ownership becomes unclear and the business sees the issue only after money, time or customer trust has already been lost.

Event → Result

Example operating scenario

  1. EventCOS detects: Record changed.
  2. DecisionIt combines business context, policy, priority and risk before choosing the next step.
  3. ActionIt initiates the controlled response: Unified entity profiles.
  4. ResultCOS verifies completion, measures the effect and escalates when the expected result is missing.

What COS does

From visibility to controlled execution.

  1. 01Unified entity profiles
  2. 02Duplicate and discrepancy resolution
  3. 03Event chronology reconstruction
  4. 04Missing and stale data detection

Where this domain applies

Operational Data Fabric

Wholesale & distributionRetail & e-commerceDealer & franchise networksFinance & business servicesTechnology & SaaS

Signals COS acts on

Designed around real operational events.

Record changedDuplicate foundData conflictContext missing

What to measure

  • Process cycle time
  • SLA and deadline compliance
  • Manual coordination hours
  • Exception and error rate
  • Revenue, margin or cost impact

Controls and human responsibility

  • Role-based access to data and tools
  • Human approval for high-risk or irreversible actions
  • Complete audit trail from signal to verified result

Works across your existing stack

CRMERPEmailMessagingTelephonyDataInternal APIs
Human confirmation remains mandatory for high-risk actions.

Start with this domain

Start with one costly process.

Connect the systems involved, define the operating rule, measure the baseline and let COS close the loop. No rip-and-replace programme.

Discuss a first process