Home / TAOM™ Engineering

TAOM™ Engineering

TAOM™ Engineering

Architecture defines what should exist. Engineering makes it happen.

In most transformation initiatives, there is a gap between business design and implementation: Business describes the processes, Architecture designs the target state, Requirements Management writes specifications, and Development receives tickets. Context is lost at every handover.

The missing bridge

Six stakeholders, six repositories

Every group works professionally – but in its own tool. What gets lost is not diligence, but the connecting thread.

  • Business describes the processes
  • Architecture designs the Target Architecture
  • Requirements Management writes specifications
  • Development receives tickets
  • Testing creates test cases
  • Documentation is created alongside the work

From Process to Implementation

Twelve stages, one point of reference

A business process can serve as the starting point for the entire implementation – if the business rationale remains connected across every stage.

Twelve stages from Business Process through Requirements, Development Object, and Specifications to the operational process, including the typical breakpoints around System Context, Technical Specification, and Testing.

Five disciplines

What Engineering covers in TAOM

Process Engineering

Understand how work gets done

  • Process Discovery
  • BPMN Modeling
  • Analysis and Design
  • Roles and Responsibilities
  • System Mapping
  • Process Requirements
  • Process Governance

The workspace for this is the Process Studio.

Requirements Engineering

Turning business needs into structured change

A Requirement remains connected to what it originated from: Process, Process Step, Role, System, Business Objective, and Development Context.

This creates end-to-end traceability from the change back to its rationale – and from the rationale forward to what is being built.

Solution Engineering

Turning Requirements into implementable solutions

  • Configuration and Extensions
  • Workflows, Reports, Interfaces
  • Migrations, Enhancements, Forms
  • Integration and Automation
  • AI Capabilities

In SAP and enterprise transformation initiatives, this translates into WRICEF classification.

AI Engineering

Governed capabilities instead of isolated experiments

  • Agent Role
  • Capability
  • Knowledge
  • Model
  • Tool
  • Process
  • Governance
  • Oversight

This is how an AI Capability becomes part of the organization rather than an experiment alongside it – learn more about the Agents.

Integration Engineering

No system operates in isolation

  • Process Platforms and ERP
  • Delivery Platforms
  • Knowledge Platforms
  • Enterprise Architecture
  • Automation and AI Services

The current integration scope is documented transparently under Integrations.

Across all disciplines

Validation

A Test must remain connected to the Requirement and Process it validates – otherwise, nobody will know later what was actually verified.

  • Process
  • Requirement
  • Implementation
  • Test
  • Result
  • Approval

Seven questions about AI

What must be clarified before anything is built

AI introduces questions that traditional implementation planning does not address. They belong in Solution Design, not in final acceptance.

  • Which tasks should AI support?
  • Which Agent is responsible?
  • Which Knowledge may it access?
  • Which Tools may it use?
  • Which Decisions may it make?
  • When is Human Approval required?
  • How is its activity monitored?

Governance by Design

Controls are designed from the start

Adding Security, Compliance, and AI Governance after implementation is expensive and usually incomplete. Engineering identifies and incorporates them while the solution is being designed.

A chain from Requirement through Risk, Control, Design Decision, Implementation, and Validation to the Evidence that remains attached to the artifact.

Delivery is not the end

Engineering is a continuous cycle

Operations generate new insights, processes evolve, new Requirements emerge, and AI Capabilities improve. Engineering therefore does not stop at deployment.

  • Discover
  • Design
  • Build
  • Validate
  • Deploy
  • Observe
  • Learn
  • Adapt

Architecture

defines the structure that should be created – learn more.

Engineering

builds and evolves the capabilities.

Digital Twin

keeps the result connected – learn more.

In practice

Where Engineering becomes tangible

These disciplines are not an end in themselves. Within Solutions they come together in real transformation initiatives:

Where this sits in the Framework: Engineering is one of the six building blocks of the TAOM AI Framework and uses the abbreviation ENG with fifteen chapters (ENG-01…15). This page explains the role Engineering plays – the chapters themselves are available under Engineering · ENG.

Getting started

From understanding to an operating organization

Understand the Process. Design the Structure. Build the Change. Validate the Outcome. Connect the Knowledge. Learn from Operations. And keep adapting.