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.

Send the workflow See case studies Hiring? Request CV
62.9%
faster signed-contract cycle time
50+
business processes automated
35%
faster sales cycle after CRM rebuild
Expertise

What I build and fix

Three lanes of delivery: workflow design, operating foundations, and stack integration. Built 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.

Story

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

Evidence

Measured outcomes from recent work

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

AI-supported delivery workflows
  • Built a 4-stage AI delivery pipeline (scoping, analysis, drafting, quality review) with a plan-approval gate before execution
  • Added automated pre-commit safety gates that block syntactically broken code from reaching production
  • Eliminated 29 false-positive monitoring alerts (29 → 1 real) by cross-checking independent telemetry sources
  • Preserved human-in-the-loop control where work auto-escalates after repeated failures and core files are protected
Operational foundations
  • Built the operational foundation of a media business from scratch, with no prior documentation and no handover
  • Delivered a 130-module Make contract engine (26 upgrades) connecting ClickUp, Drive, Docs, Slack, Sheets, and datastores, resulting in a 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

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

Autonomous Discovery & Evaluation Pipeline

Shipped, running daily

Built a multi-source autonomous pipeline that ingests records from 30+ web sources via zero-token scrapers, scores each against structured criteria with language model evaluation, deduplicates through a JSONL ledger, and generates privacy-safe documents with client names automatically aliased before any output is produced.

  • 22k+listing scans
  • 30+web sources
  • 300+records tracked
  • client-safeprivacy by design
  • Replaced manual multi-source scanning with automated zero-token ingestion using Playwright scrapers, the Greenhouse API, and WebSearch.
  • Built language model fit scoring against structured criteria to filter non-qualifying records before human review.
  • Enforced strict privacy gates by automatically aliasing client names as a media agency client prior to document generation.

Additional delivery work

More projects across automation, data, and internal systems, in addition to the three case studies above.

What I can offer

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.

Questions & Answers

Frequently asked questions

Clear answers on how engagements work, locations covered, and build scope.

What does an AI & Operations Automation Consultant do? +

An AI & Operations Automation Consultant audits manual business workflows, designs controlled AI-supported processes, and builds automated integrations between CRMs, delivery tools, finance, and reporting systems. The goal is to eliminate manual handoffs while keeping human review checkpoints intact.

What is included in the 10-Day AI/Ops Automation Sprint? +

The 10-day sprint identifies your top 3 workflow bottlenecks, eliminates fragile handoffs, and ships 1 production-ready automation system (built with Make.com, n8n, Zapier, or Python) complete with team handover documentation.

What UK locations do you cover for Operations & AI Consulting? +

Helping You Scale provides fractional operations management and AI workflow engineering for businesses across London, as well as remote engagements UK-wide.

What's slowing
you down?

Send the workflow, handoff, CRM gap, reporting loop or repeated admin that is slowing the team down. Use the form below, and 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.