Systems Consulting

Architecture advice from someone who has
actually built the systems.

Fifteen years of production engineering, including enterprise data platforms for major UK firms. When the stack matters and the wrong call is expensive, you want the person giving the advice to have shipped it themselves — and to still be the one who implements it.

Let's look at your architecture Our approach
Map the system before changing it

Map the system before changing it

Most failures are scope failures, not tool failures.

When to bring me in

I'm most useful at moments of transition — before you spend big, after you outgrow a tool, or when the team is divided on what to do next.

shuffle

Tool sprawl

Too many overlapping tools, none owned end-to-end. I consolidate around one source of truth.

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Hitting the ceiling

The setup that got you here won't get you to the next stage. I design the bridge.

groups

Cross-team friction

Sales, ops and finance all need different things from the same data. I mediate the design.

How I work

Three engagement shapes. I start with the smallest one that answers your question — and I design the data model first, because that's where the real architecture lives.

fact_check

Systems Audit

A focused read of your tooling, data model and processes — with a costed, sequenced roadmap at the end, not a slide deck thrown over the wall.

  • check_circle Data-model-first review
  • check_circle Stack & integration trade-offs
  • check_circle Roadmap you can act on
Book an audit arrow_forward
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Stack Selection

Independent, clear-eyed advice on the CRM, ops and AI tooling for your situation — trade-offs spelled out, not hidden.

  • check_circle Vendor shortlists
  • check_circle Trial coordination
  • check_circle Honest buy decisions
Discuss a decision arrow_forward
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Fractional Systems Lead

I operate as your part-time head of systems — owning the roadmap and the implementations, with structured data that can't drift.

  • check_circle Quarterly planning
  • check_circle Tool rollouts
  • check_circle One source of truth
Discuss a retainer arrow_forward

Where it leads. Good architecture is the quiet foundation under everything else here — including AI visibility. Schema that engines trust, content that's structured, records that stay consistent: all of it comes from getting the data model right first. If AI visibility is the goal, this is often where the real work starts — an Audit will tell us.

Before the next big systems decision, talk to me

Book a 30-minute call. I'll tell you straight if a smaller engagement would serve you better.

Book a call How this feeds AI Visibility