London · operations, automation and AI workflow design

I make messy operations
easier to run

Workflows, automations and reporting that reduce manual handoffs — built so your team can own them.

62.9%
faster signed-contract cycle time
50+
business processes automated
35%
faster sales cycle after CRM rebuild

What I build and fix

Three lanes of delivery — workflow design, operating foundations, and stack integration — for teams where too much still depends on manual handoffs.

AI
systems build
AI-supported workflow design

For teams exploring AI, I focus on controlled use cases: clear inputs, defined handoffs, review points and output people can actually use.

OPS
operator background
Operational foundations

For businesses where too much lives in people's heads, I build the SOPs, workflows, reporting and permissions that make day-to-day work easier to run.

FLOW
workflow repair
Automation that survives handover

For companies with fragile tools and slow handoffs, I audit the stack, rebuild the workflow, and connect CRM, delivery, finance and reporting without hiding the logic.

Ten years inside lean teams — now building systems others can own

For ten years I worked inside lean startups and scale-ups — owning operations across six portfolio businesses simultaneously, building infrastructure from scratch, and automating manual work that slowed teams down.

That background made me practical about AI. I care less about impressive demos and more about how work gets captured, routed, checked, reported and handed over when the team is busy.

Today I sit between operations leadership and systems build. I can join a team, lead a focused transformation, or deliver a scoped automation project — but the aim is always the same: make the system easier for other people to run.

AI
AI workflow design

AI-supported processes built around defined inputs, checkpoints and reviewable output

AUTO
Automation at scale

Make.com, n8n, Zapier, APIs and workflow rebuilds with documentation and safeguards

OPS
Operations from zero

Operating foundations at IRG and TechCity: SOPs, CRMs, reporting and governance

ENG
Engineering infrastructure

Python, Docker, GitHub and SQLite for testable internal systems

DATA
Data and reporting

Looker Studio dashboards, Salesforce, Pipedrive CRM and advanced Google Sheets

Measured outcomes from recent work

Numbers from shipped work — employment, contracting and freelance. Details sanitised where client context requires it.

AI-supported delivery workflows
  • Designed a 4-step AI-assisted workflow with scoping, analysis, drafting and quality review separated into clear stages
  • Reduced repeated manual work by turning a loose process into a structured pipeline
  • Built local orchestration patterns with persistent state, specialist workers and repeatable quality checks
  • Kept the system reviewable so output could be checked before it became operationally useful
Operational foundations
  • Built the operational foundation of a media business from scratch — no prior documentation, no handover
  • Delivered a 130-module Make contract engine (26 upgrades) connecting ClickUp, Drive, Docs, Slack, Sheets, and datastores — 62.9% faster signed-contract cycle time
  • Built a client health & retention scoring engine with satisfaction tracking and margin monitoring
  • Designed Google Drive architecture with 3-level hierarchy and role-based permissions across departments
Workflow repair and acceleration
  • Rebuilt CRM and sales infrastructure → 35% faster sales cycle
  • Restructured contact databases → 80% reduction in lost leads
  • Delivered operational savings of £500–800/month per client
  • Automated 50+ business processes across Salesforce, ClickUp, Make.com, n8n, and Zoho Suite

Case studies

What was broken, what was built, and what runs reliably now.

Lead build

Contract Automation

A closed-won deal triggered a fulfilment workflow: task context pulled from ClickUp, storage created in Drive, contract drafts generated from templates, fields updated, Slack notified, Sheets logged, and temporary state cleaned up.

Read full case study →
Shipped, sanitised
Case study

Creator Discovery + Data Enrichment

Cross-platform creator discovery shipped: YouTube, Instagram, and TikTok

Built cross-platform creator discovery workflows for YouTube, Instagram and TikTok: scraper runs, profile enrichment, handle normalisation, deduplication against the influencer index, and quality filters before downstream use.

  • YTdiscovery + API enrichment
  • IGprofile enrichment
  • TTscraper workflow
  • Indexdedupe layer
  • Normalised creator handles and platform URLs before records entered the operating workflow.
  • Used scraper outputs, enrichment checks and index matching to reduce duplicate or low-quality leads.
  • Built reusable evidence for creator operations, data quality and cross-platform enrichment work.
Read full case study →
Case study

Reporting + KPI Normalisation

Completed schema/reporting fixes

Stabilised KPI reporting by using Google Sheets as the working data base, then pushing and referencing that data into Looker and other dashboards so the numbers were easier to explain and use.

  • Sheetsworking data base
  • Lookerdashboard layer
  • ClickUpops reference
  • Driftreduced ambiguity
  • Mapped operational questions to explicit metrics and Sheets-backed dashboard outputs.
  • Reduced reporting drift between workflow tools, Google Sheets and dashboards.
  • Shows the reporting-normalisation thread without exposing private data.

Additional delivery work

More projects across automation, data, and internal systems — beyond the three case studies above.

Start with one workflow worth fixing

The clearest entry point is a 10-day AI/Ops Automation Sprint: find the 3 biggest workflow leaks and ship 1 practical fix.

Got a workflow
wasting time?

Send the workflow, handoff, CRM gap, reporting loop or repeated admin that is slowing the team down. Use the form below — I will tell you whether it is a good fit for a 10-day AI/Ops Automation Sprint.

Hiring team? A traditional one-page CV is available on request. For scoped build work, send the workflow or tool stack and I will respond with the relevant case-study angle and likely first fix.