A specialist consultancy for companies that have outgrown generic advice and need someone who can actually build the thing they're recommending.
Ops Marshal was born out of a recurring frustration: marketing teams armed with expensive technology but drowning in disconnected data, manual processes, and reports nobody trusted. The tools were there — the operational intelligence wasn't.
The consultancy was built to close that gap. Not by adding more tools, but by making the ones you have actually work together — and increasingly, by replacing entire manual workflow layers with intelligent automation that runs without babysitting.
The practice is anchored in deep, hands-on experience across the full B2B and B2C marketing stack — from CRM architecture and marketing automation to ABM strategy, revenue attribution, and AI-native workflow design.
What makes the approach different is the refusal to separate strategy from execution. Every assessment leads to a build. Every recommendation comes with a roadmap. And every implementation is measured against revenue outcomes, not tool adoption metrics.
The shift into AI workflows wasn't a pivot — it was an inevitability. When you've spent years optimising the pipes that connect marketing data across systems, you start to see exactly where AI agents can replace human decision loops: lead qualification, content personalisation, performance reporting, outreach sequencing.
Today, Ops Marshal designs and deploys agentic systems on platforms like n8n, Make, Relevance AI, and the Claude API — building autonomous marketing functions that handle research, enrichment, outreach, and analysis at scale.
Growth-stage to enterprise companies across SaaS, eCommerce, and Healthcare — primarily in the US, UK, Europe, the Middle East, and Singapore. The common thread isn't industry or size: it's a marketing team that's serious about operational excellence and ready to move beyond spreadsheets, siloed tools, and gut-feel decisions.
No vanity metrics. Here's exactly what happened when clients handed us their hardest ops problems.
Multiple disjointed tools with no unified data layer. Sales had zero visibility into lead intent signals, and response times were killing pipeline velocity.
Tech Stack Diagnostic, full Salesforce + Marketo integration, real-time lead scoring model, and automated sales alert workflows triggered by intent signals.
Years of tool accumulation created a stack of expensive, overlapping platforms. Poor data quality was corrupting attribution models and making campaign decisions unreliable.
Comprehensive Marketing Ops Audit, tool consolidation strategy, advanced multi-touch attribution build, and ABM targeting using Demandbase intent data.