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DigitalQatalyst

DBP.io Designs: Design the cognitive organisation.

Turn Enterprise AI priorities into an implementable operating design. Define how people and AI collaborate, connect workflows and systems, and govern decisions before implementation.

  1. Enterprise direction

    Priorities and intended outcomes

  2. Operating model

    Human-AI collaboration

  3. Architecture, workflows and systems

    How work and technology connect

  4. Governance

    Decision authority and control

  5. Implementation-ready blueprints

    A basis for delivery teams to build against

AI ambition is not an enterprise design.

Knowing where to apply AI is not enough without defining the roles, workflows, systems and decision rights that must change.

Who it is for
Strategy and transformation leaders, enterprise architects, process owners, governance teams and accountable business sponsors.
When to engage
When the organisation needs one joined-up response connecting business value with the work, systems and decision rights required to achieve it.

A design delivery teams can build against.

Connect priorities with architecture, workflows and governance — so delivery teams share one basis for build and review.

  • 01

    Strategy

    Cognitive Organizations Strategy

    Define Enterprise AI ambition, business-value priorities and the organisational changes required for AI-enabled work.

  • 02

    EA4.0

    Enterprise AI Architectures

    Connect business capabilities, information, applications and technology into a coherent enterprise architecture.

  • 03

    BPM4.0

    Enterprise AI Workflows

    Design human and AI contributions, handoffs, approvals and exception handling for priority workflows.

  • 04

    Governance

    Cognitive Organizations Governance

    Define decision rights, accountability, delegated authority and review arrangements.

  • 05

    Solutions Blueprints

    Solution Architecture & Designs

    Define solution boundaries, components, integrations and controls to guide implementation and acceptance.

  • 06

    OnDemand

    Transformation Managed Services

    Support agreed transformation activities with defined responsibilities, reviews and improvement priorities.

Before AI can act, the enterprise must decide how.

See how a procurement workflow changes when an AI agent moves from recommending an action to acting within approved limits.

Procurement scenarioIllustrative example

An AI recommendation still needs a decision.

  1. 01

    Agent proposes an action

    Prepares a purchase-order recommendation.

  2. 02

    Human reviews and approves

    An authorised person accepts or rejects the recommendation.

  3. 03

    Approved action is recorded

    The decision and action follow the agreed workflow.

Four decisions. One governed workflow.

  1. 01

    Outcome

    What business result should this workflow achieve?

  2. 02

    Workflow

    Which steps, approvals and handoffs must change?

  3. 03

    Authority

    What may the agent do, and when must a person intervene?

  4. 04

    Evidence

    What actions and outcomes must be recorded and reviewed?

One implementable enterprise design.

Direction, operating design, governance and blueprints — ready for delivery teams to build against.

  • 01
    Enterprise Direction
    • Enterprise strategy
    • Transformation priorities
  • 02
    Operating Design
    • Enterprise architecture and integration
    • Human-AI workflow designs
  • 03
    Authority & Governance
    • Decision rights
    • Governance arrangements
  • 04
    Build-ready Blueprints
    • Solution blueprints and acceptance criteria
    • Implementation dependencies and design decisions

Start with one enterprise priority.

  1. 01

    Frame the Priority

    Identify the business outcome, enterprise challenge and responsible stakeholders.

  2. 02

    Define the Response

    Select the relevant strategy, architecture, workflow, governance and blueprint capabilities.

  3. 03

    Agree the Deliverables

    Confirm scope, expected outputs, implementation dependencies and acceptance criteria.

Ready to design your Enterprise AI operating environment?

Bring one enterprise priority or workflow. Work with DQ to define the design scope, responsible stakeholders and outputs needed to guide implementation.

Request a Design Scoping Discussion