AI marketing automation consulting
I redesign the workflow around your team—so research, creative testing, reporting and customer insight move faster without outsourcing judgment to a tool.
Illustrative samples · no client data
Explore a sample handover. These are fictional formats, not completed client projects or measured results.
Claims are copied between spreadsheets without source links.
Owner: Marketing lead
Every metric has a source and period.
Grounded in hands-on growth work. Explore the historical audience-intelligence portfolio and its source material.
View related evidence ↗Inside the work
Audience research and journey mapping from the published growth marketing portfolio.
Source note Historical portfolio evidence. This does not isolate the effect of AI or promise the same outcome for a new workflow.
Three ways to start
Each engagement has a defined input, owner, review gate and business output. The goal is not more AI activity; it is a workflow your team can run repeatedly.
Find the opportunity
Map recurring work, quantify friction and choose the first workflow worth changing.
Increase useful experiments
Turn customer and campaign evidence into angles, briefs, test IDs and a learning loop.
Make faster weekly decisions
Combine recurring reporting, anomaly flags and recommended actions for human approval.
Workflow modules
Start with one measurable constraint. Once the pattern works, reuse its evidence, controls and handoffs across the rest of the marketing team.
Organise reviews, interviews and sales objections into usable themes.
Move from evidence and brief to reviewed, on-brand channel assets.
Score, enrich and route enquiries using agreed commercial rules.
Generate testable angles and briefs from real performance signals.
Make SOPs, campaign history and team context easier to retrieve.
Support segmentation, message planning and controlled iteration.
AI Marketing Workflow Sprint
Begin with one process the team already runs. Baseline it, rebuild it, test it with real inputs and leave the team with the controls to own it.
Discuss your workflowImplementation resources
Use the maturity framework to diagnose operating readiness, the audit checklist to test controls and the ROI calculator to quantify the complete first-year economics.
A bounded implementation
We choose one workflow, its input sources, output, owner and acceptance checks. The scope identifies whether you need an audit and roadmap, a working implementation, or both. Tool subscriptions, integrations and delivery timing are agreed before work starts.
We run agreed examples and failure cases: missing data, stale inputs, unsupported claims and a failed integration. The handover includes instructions, review criteria, access ownership, a manual fallback and known limitations. Cycle time and review quality are measured against your starting baseline.
Human approval is the default for external publishing, customer messages and budget changes. Any further automation needs explicit scope, permissions and a recovery path. A generated recommendation is not a completed business action.
Start with a description of the recurring work, the tools and the owner. Use approved sample inputs during scoping. Access, personal-data handling, retention and vendor choices are agreed before connecting live systems.
Fix or isolate the data issue before automating decisions. If conversion collection is the blocker, start with GA4 & Conversion Tracking Audit + Fix. Ongoing campaign decisions can be scoped through Google Ads management or consulting.
Start with one workflow
Share the process, people and recurring work. I’ll help identify the smallest AI workflow that can create measurable value without weakening human accountability.
Discuss your AI workflowFree operating template
Use the same weekly review structure I use to connect spend with qualified leads, opportunities, pipeline and decisions.