B2B marketing, revenue systems and AI engineering

Marketing and revenue systems, designed and engineered for what comes next.

I help B2B organisations design, build and improve CRM, marketing and revenue operations systems, including the data, automation and AI-enabled workflows connecting them.

I bring senior operational experience and hands-on engineering, from understanding the requirement to implementing and testing the solution.

Whether you're establishing something new, improving what you already have or exploring a different way of working, I can help you work out the right approach and deliver it.

Founder-led. Based in Dublin. Working with B2B teams and specialist partners.

  1. One commercial operation. Many connected parts.

    Marketing, sales and customer teams work through different processes, platforms and information. What happens between them matters just as much as what happens within each team.

  2. Marketing engages the right audiences and creates opportunities for commercial conversations.

  3. Sales develops relationships, manages opportunities and progresses decisions.

  4. Customer teams support onboarding, adoption, retention and expansion.

  5. The systems behind the work matter.

    Disconnected data, inconsistent processes and manual handoffs can create unnecessary effort and make it harder for teams to act on the information they have.

    Well-designed systems do more than resolve those problems. They make new processes, services and ways of working possible.

  6. One operation. Two perspectives.

    Business view: How people, information and work move through the commercial operation.

    Engineering view: The CRM, data structures, integrations, automation, software and AI capabilities that support it.

  7. I work across both perspectives.

    Understanding what the business needs and engineering the systems to support it.

    Explore the business and engineering views: choose an area to see what it builds, or drag the seam to compare them.

Where I can help

Different starting points. The same combination of operational judgement and engineering.

For example, the requirement might be a better HubSpot lead lifecycle, the operational systems behind a targeted ABM programme, or an AI-assisted research workflow connected to existing tools.

  • Establish something new

    You're introducing a CRM, building campaign operations, developing a customer lifecycle or putting a new commercial process in place. You need the underlying systems designed and implemented properly.

  • Improve what already exists

    Your platforms and processes are in place, but data, automation, handoffs, reporting or operational complexity are holding teams back. You need to understand what should change and make those changes work.

  • Develop an intelligent capability

    You see an opportunity to use AI, agents or connected automation for research, campaign operations, classification, monitoring or other operational work. You need help turning the idea into a practical, testable solution.

  • Bring in specialist expertise

    You need an experienced practitioner to advise, lead a defined implementation or provide hands-on capacity alongside your internal team or agency.

Three connected areas of expertise

From commercial requirements to working systems.

Platform specialism

HubSpot Engineering

HubSpot is a particular platform specialism within my work.

I help organisations implement, configure, extend and improve HubSpot, bringing together platform expertise with a wider understanding of data, workflows and commercial operations.

Explore HubSpot Engineering

Selected work and engineering

Professional experience, backed by hands-on engineering.

My work combines years of B2B marketing and revenue operations experience with practical implementation and ongoing technical development.

Explore examples of professional delivery, alongside selected systems, workflows and intelligent capabilities I have engineered or evaluated.

How we can work together

From an initial requirement to practical progress.

  1. Understand the requirement

    Establish what you're trying to achieve, what already exists and where specialist expertise could make a difference.

  2. Design the approach

    Work through the architecture, dependencies, implementation choices and a scope that makes sense for the requirement.

  3. Build and verify

    Implement the agreed solution, test its behaviour and address the operational details that matter.

  4. Enable the team

    Document, hand over, support or continue improving the capability under an agreed arrangement.

Engagements can begin with focused advice, a defined project or specialist capacity alongside your existing team. Not every requirement needs a large programme of work.

Have something to build, improve or connect?

Whether you're working through a specific system challenge, preparing a new implementation or exploring how AI could support your operations, I'd be interested in understanding what you're trying to achieve.

You'll work directly with me, from the initial conversation through to the agreed work.

Discuss a requirement