Automation Design Framework

From automating tasks to orchestrating value with AI.

The Automation Design Framework is the strategic filter for deciding what to automate, in what order, and how — before investing in technology.

01 · The problem

Automating without systemic design amplifies the chaos.

Many companies invest in AI and agents, but strategy doesn't improve. Introducing intelligent agents into broken processes only accelerates the disorder.

01

Isolated pilots

Fragmented initiatives with brilliant tools that don't connect to the real value stream.

02

Human dependency

Critical knowledge lives in a few people's heads. If they're unavailable, the process stops.

03

Operational risk

Lack of governance over what agents decide: autonomous actions without oversight.

04

Invisible ROI

Easy tasks get automated instead of redesigning systems. Productivity goes up, but the business doesn't gain.

Confusing an agent's decision-making capability with business strategy creates massive operational debt.

02 · The framework

The ADF as a double diamond.

Inspired by the design thinking double diamond: two cycles of divergence and convergence to decide what to transform and how to orchestrate it.

Problem space

What to transform?

01 · Discover

Diagnosis

Systemic map of real work and the organization's AI-First maturity.

02 · Define

Reframing

Decide what to transform: Enrich · Reinvent · Reform · Co-create.

Solution space

How to orchestrate it?

03 · Develop

Operating Model

Human + Agent teams, decision rights, and defined governance.

04 · Deliver

Roadmap

Sequenced 12–18 month plan, ordered by value and risk.

We start with the work system, not the technology — to automate the right things, in the right order.

03 · Results

Tangible results for the organization.

Clear, prioritized roadmap

A plan sequenced by real value: you'll know exactly what to execute and when.

Reduced systemic risk

Governance and traceability built in from design, not bolted on as an afterthought.

Measurable, real ROI

Less rework and latency; throughput with validated financial impact.

Human + Agent teams

Redefined roles: humans direct and orchestrate, AI executes and scales.

Safe scalability

Architecture built to grow; we avoid pilots that die upon integration.

Executive alignment

Consensus between business and technology on what to automate — and what not to.

04 · Scope

What the ADF includes — and what it doesn't.

This is strategic business and transformation consulting. Setting clear expectations is what guarantees success.

What's included

  • AI-First maturity diagnosis and systemic mapping.
  • Strategic reframing (Enrich / Reinvent / Reform / Co-create).
  • Operating Model design: human / agent decision boundaries.
  • 12–18 month transformation roadmap.
  • Governance, Responsible AI, and executive narrative.

What's not included

  • Not technical implementation or platform configuration.
  • Not software development, custom bots, or scripts.
  • Not mass end-user training.
  • Not outsourcing (BPO): we don't operate your processes.
  • Does not replace executive decision-making — it facilitates it.
2.6 · Workplace AI

Workplace AI.

Copilots, agents, and automations integrated into Microsoft 365 and your business processes — with data governance, security, and an adoption program that brings AI to the team, not just the PowerPoint.

Copilots

Microsoft 365 Copilot, production-ready.

Licensing, configuration, connection to corporate data, and access policies. Tenant locked down before the first prompt.

Agents

AI assistants for real tasks.

Customer service, internal support, quality, and back-office. Agents integrated into your systems — not standalone chatbots.

Automation

Power Automate + generative AI.

Flows that read, classify, and respond to documents, emails, and forms — with a human in the loop when it matters.

Data Governance

Purview, sensitivity labels, and DLP.

AI only sees what it should see. Labeling, access control, and traceability — aligned with NIST and ISO 27001.

Assisted Adoption

Customer Success dedicated to AI.

Use cases, role-based training, usage metrics, and a roadmap that evolves with your organization.

Conversational AI

Secure, omnichannel conversational AI.

Integrated with Teams, WhatsApp Business, web, and voice. Connected to your systems with SSO and audit trails.