Turn One Priority into Working, Governed and Measurable AI System

ValueFabric provides a more disciplined route.

We begin with one important business problem, management decision or workflow. Before implementation starts, we define the accountable business owner, technology and data owner, finance value owner, KPI baseline, expected Performance Outcome and evidence requirements.

Only then do we design and deploy the AI applications, automation, agentic workflows and system integrations required to improve that decision or process.

One priority. One controlled investment. One measurable result.

These assets help organisations move faster from ambition to implementation by providing proven structures for:

  Identifying the right use cases
  Connecting AI opportunities to business decisions
Establishing ownership and governance
  Defining operational and financial KPIs
  Designing workflows and system architecture
  Prioritising interventions
  Implementing practical solutions
  Measuring whether value was created

Each engagement draws on the relevant parts of the ValueFabric product system.

Clients do not need to purchase every product or follow one rigid transformation path.

BUSINESS SIGNALS   →   OPERATING INTELLIGENCE   →   DECISIONS ARCHITECTURE   →   EXECUTION SUPPORT   →   PERFORMANCE OUTCOMES

You can begin through any of the following before moving into implementation where required:

—  AI Readiness Diagnostic

—  AI Transformation Blueprint

  Business Risk Assessment

  AI CFO Executive Program

  Portfolio Value Creation Masterclass or Program

  13-Week Liquidity & Working Capital Control

  Company Diagnostics

  Financial Control Platform

ValueFabric helps leadership teams turn one prioritised AI opportunity into an owned, governed and measurable business intervention.

Every deployment begins with:

—  A defined business problem

—  A management decision or workflow

  A named business owner

  A technology and data owner

  A finance value owner

  A KPI baseline

  An expected Performance Outcome

  Evidence requirements

Only after these foundations are established do we implement the AI applications, workflow automation, agentic workflows, information extraction, decision-support capabilities and system integrations required to improve business performance.

ValueFabric is model-agnostic and works with your existing ERP, CRM, data, cloud and AI environment wherever practical. It connects and extends your existing technology landscape rather than unnecessarily replacing systems.

Every engagement is connected to:

  A defined business problem

  A decision or process that should improve

  A named business owner

  A technology and data owner

  A finance value owner

  An operational or financial KPI

  An expected Performance Outcome

  Evidence of the result

SMEs and mid-market companies often have the same AI ambitions as larger enterprises, but they cannot fund years of consulting, architecture and experimentation.

ValueFabric addresses this through:

—  Contained starting points

—  Reusable execution assets

  Fixed-scope phases

  Existing-system integration

  Sector and function-specific programs

  Experienced operator involvement

  Expansion based on measured results

This allows organisations to access enterprise-grade thinking and implementation without adopting an enterprise-scale cost structure.

Indicative Investment

Every engagement is scoped around a defined business problem, accountable owner, KPI and expected Performance Outcome.

The investment reflects more than delivery capacity.

Each engagement is supported by the wider ValueFabric product system, including diagnostic methods, decision and governance structures, implementation artefacts, sector knowledge, operator expertise and Performance Outcome measurement.

These reusable assets reduce the time, cost and implementation risk of moving from an identified opportunity to a working solution.

01

AI Value & Architecture Sprint

Investement from € 4,500

Define one priority decision or workflow, establish the value case, assess production readiness and create the controlled deployment plan..

02

Controlled Proof-of-Value Deployment

Investement from € 9,500

Implement one contained AI-enabled decision, workflow or process against a defined KPI, with governance, user acceptance and evidence of whether the intervention created the expected value..

03

Production AI Deployment

Investement from € 22,500

Deploy the approved solution into the operating environment with integrations, permissions, governance, monitoring, resilience and accountable business adoption.

04

Continuous Improvement & Governance

Investement from € 2,500 per month

Improve deployed systems, extend proven workflows and maintain governance, monitoring and Performance Outcome measurement.

Final investment depends on business scope, data readiness, integration requirements, governance requirements and delivery responsibilities. Each phase is independently scoped and approved.

DEFINE   →   PROVE   →   DEPLOY   →   EXPAND

Case Studies

AI-powered multichannel support automation

A unified AI-driven platform connecting multiple customer-support channels into one automation layer.

Delivered:

  End-to-end platform delivery
  Workflow automation
  Channel integration
  Scalable support operations

Value created:

Consolidated fragmented support channels into a single automated operating layer, reducing manual handling while increasing operational capacity.

Agentic Platform for Digital Coworker Onboarding

A pilot-ready agentic platform enabling organisations to onboard digital coworkers into operational workflows, with secure connectivity across the agent stack and integration with Google Agentspace.

Delivered:

  Full-stack agentic delivery
  Secure multi-agent connectivity
  Secure multi-agent connectivity
  Pilot-to-production architecture

Value created:

Reduced the time required to move from concept to a governed, production-ready digital workforce.

Unified AI Information Extraction Platform

A unified AI engine with an orchestration layer spanning identity, governance, security and SLAs, integrating multiple foundation models including Claude and Gemini.

Delivered:

  Multi-model integration
  Information extraction pipelines
  Orchestration and routing
  Governance and security controls

Value created:

Replaced manual information processing with a governed, traceable and scalable information extraction capability.

THE VALUE CREATION JOURNEY

VISIBILITY   →   DIAGNOSTIC   →   ASSESSMENT   →   EXECUTION   →   CONTINUOUS INTELLIGENCE

AI Use-Case-to-Value

Connect every AI use case to a decision, KPI, owner and realised return

Evaluate AI initiatives through the business problem addressed, decision improved, implementation cost, operational KPI, financial KPI and verified ROI

Discover how the AI Execution Fabric can help your organisation turn a prioritised AI opportunity into a governed system with measurable business value.

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