Introduction to the 6-Stage Automation Path framework

Some processes can be made more productive with basic automation. Others require AI-first design and agent-driven intelligence to truly drive efficiency and impact while keeping people in control at every step.

Instead of treating automation as a single, one-time project, this maturity model recognises that different areas of your organisation move at different speeds. A marketing workflow might be ready for AI-first, agent-first adoption with AI-driven agents, while sales enablement processes may still be laying foundational data and alignment work.

The framework also helps you to choose the right level of automation or intelligence. This can range from basic marketing automation to API-driven workflows to AI-first agent coordination using MCP and A2A.

The framework helps you:

Pinpoint where each process sits today
Decide what level of automation is possible and practical
Plan the next step forward without over-investing too early
Prepare teams for AI-first, agent-first growth so technology augments people rather than replaces them
Keep adopting new automation capabilities in a controlled, sustainable way

Whether you use marketing automation platforms like Marketo, AI-driven workflows, or advanced orchestration across systems, this model gives you the roadmap to move from tactical improvements to a future state of adaptive, intelligent operations.

6 Stage Automation Path Chapman Bright AI Agents

Why This Matters

Without a clear path, automation efforts often stall. Teams invest in tools but fail to realise their potential because processes aren’t ready, people aren’t enabled, or the approach doesn’t match the challenge.

By mapping automation opportunities to these six stages, you can:

Maximise ROI by focusing effort where it will have the biggest impact
Avoid wasted investment in advanced technology that isn’t yet applicable
Ensure teams remain in control with human-in-the-loop approaches
Create a shared language for automation maturity across the organisation
Scale AI-first, agent-first automation with confidence and human oversight

The 6 Stages

of the 6-Stage Automation Path

Stage 1 – Foundational Readiness

Before automation can deliver value, there must be alignment on goals, data structures, and processes. This stage focuses on creating shared understanding, defining customer journeys, and ensuring marketing and sales work from a consistent strategy. It includes assessing current technology, filling capability gaps, and putting the essential building blocks in place for automation readiness.

Stage 2 – Rule-Based Automation

Repetitive work is reduced through rules-driven automation in areas such as campaign execution, lead routing, or segmentation. Standard templates and processes are introduced to ensure greater consistency and free up time for higher-value work. This is where many teams see their first measurable gains in speed, accuracy, and output.

Stage 3 – Smart Workflows with AI Assistance

Automation becomes more adaptive by integrating AI-first design for decision-making and content creation within workflows. Examples include AI-driven segmentation, content personalisation, or data-informed recommendations that improve engagement. Processes start to adapt dynamically based on customer behaviour and real-time context.

Stage 4 – Task-Focused Agents

AI agents take on bounded, human-like tasks such as summarising meetings, enriching lead profiles, or building campaign components. This is where agent-first thinking begins to show measurable impact. Agents respond to triggers or instructions, execute multi-step actions, and deliver results faster while remaining under human oversight to ensure quality and relevance.

Stage 5 – Human-Guided Agents

Digital agents work alongside your team in recurring roles, from sales research to content adaptation. Humans remain in control, validating and guiding outputs, but much of the repetitive execution is offloaded. This stage demonstrates people-first adoption of agent-first capabilities, with a focus on managing outcomes and strategic decisions rather than performing every step manually.

Stage 6 – Hyper-Automation, High-Impact Work

Teams orchestrate outcomes across interconnected workflows and agents in an AI-first, multi-agent architecture. Systems learn and adapt over time, requiring minimal reprogramming. People focus on strategy, innovation, and high-value customer engagement, while automation executes at scale to deliver consistent, measurable impact.

Chaploop 2025

How to Use the 6-Stage Automation Path

Build momentum in a continuous cycle of compounding successes

CHECK – Analyse how work really happens
HYPOTHESISE – Identify valuable fixes, cut waste
ALIGN – Bridge tech, data, and people with a roadmap
PERFORM – Implement, AI executes, people decide

By following the Chaploop™, automation becomes intentional, people-first, and AI-powered. Each loop compounds improvements, making automation fit how teams work today while scaling value over time. People stay in control, focusing on higher-impact priorities as AI handles execution.

Chaploop™

Required Capabilities

To succeed at each stage, you need a mix of strategic, technical, and change management capabilities.

From marketing automation platform expertise to AI agent design, solution architecture, and team enablement, the right capabilities ensure automation delivers measurable results.

Explore

8 Capabilities and requirements to Support Every Stage

Eoin Johnson - Marketing Program Manager - Staples EMEA "Working with Chapman Bright helped us get our Marketing Automation off the ground. Their vital and actionable insights were crucial to our business case and project plan.”

Our Services

Our programs are designed to help you advance through these stages in a structured way. Whether you’re piloting a single solution, scaling automation across departments, or embedding AI agents into core processes.