Work I have anchored here
Direct work with enterprise marketing teams at FMCG, financial services and industrial brands. Plus full-spectrum SEO and AI workflow input alongside a multi-office creative and marketing agency.
London
Enterprise marketing, financial services and FMCG teams
AI Workflow Consultant
in London.
AI workflow support for repeated work that should not depend on manual copying, checking and chasing. For London teams, the value is in making the work specific: where the data comes from, who reviews it and what the first useful version should do.
// London context
London teams usually run multi-agency setups with parallel programmes. The work that lands is the work that sequences, not the work that adds more. Most engagements here are second-opinion advisory for enterprise marketing or hands-on diagnostic for an in-house lead who already knows what they need.
// local proof
What this looks like in London.
Local market read
London buyers shortlist three agencies plus one senior independent for a second opinion. That second-opinion slot is where most of my London work sits.
How I work here
Monthly day on-site for strategy reviews. Two to three day blocks for migration sprints or workshops. Otherwise remote.
Where I sit vs other options
Heavy agency saturation - the established names (Builtvisible, Aira, Distilled-era alumni) cover most of the enterprise market. I sit alongside them, not against.
// 01 - the offer
What you are buying.
I help design narrow, useful automations around real processes such as invoicing, reporting, briefs and content QA.
What You Are Buying
A first workflow that removes repeated manual work.
The first version should be narrow and useful: invoice triage, reporting notes, content QA, lead routing or briefing. The point is fewer repeated checks, not a fragile automation nobody trusts.
Process map
Automation route
Human checks
Version one
// 02 - diagnosis
Why London teams call.
The patterns I see most before the work starts. If two of these sound familiar, the first review call is usually worth the time.
Manual work repeats
People copy, check, chase and reformat the same information every week because the workflow was never mapped.
Automation starts too big
The first version tries to replace a process instead of improving one narrow, annoying step.
Handoffs are fragile
Work breaks when information moves between inboxes, spreadsheets, CRMs, finance tools and people.
Checks are unclear
The team needs to know what AI can draft, what a person must approve and where errors are likely.
// 03 - how the work runs
Phases that end in something usable.
I help find the repeated work that is worth systemising first, then design a narrow workflow around it.
That can mean invoice handling, report preparation, content QA, briefing, lead routing or internal admin.
The goal is useful automation with clear human checkpoints, not a fragile demo that only works once.
// 01 - trace
Follow the manual work
Inputs, handoffs, tools, checks, delays and the places where people repeat themselves.
// 02 - choose
Pick the first automation
A narrow step such as invoice triage, reporting notes, content QA or lead handling.
// 03 - prototype
Build the workflow model
Draft logic, approvals, exceptions and human review points before deeper integration.
// 04 - handover
Leave an operating guide
What runs automatically, what gets checked and how the team improves version two.
// 04 - proof
Past project profiles.
Two examples of the shape this work takes. Real engagements, anonymised. Not every project looks like these, but the discipline is the same.
Example project profile
Automated invoice triage with human approval
Invoices arrived by email, then someone copied details into finance software and chased missing information. The first version extracted fields, flagged gaps and routed exceptions for review.
Inbox rules
Field extraction
Exception list
Approval step
// outcome The manual work becomes a controlled queue instead of a daily chase.
Example project profile
Weekly reporting notes without manual reformatting
The same notes were being copied between tools every week. The project created a narrow reporting workflow that gathered changes, drafted commentary and left final judgement with the team.
Input map
Draft notes
Review rules
Report handover
// outcome Reporting becomes faster without removing the person who understands the work.
// 05 - shape check
Where this works, and what you leave with.
// where this works
Use cases
- 01 Map manual admin
- 02 Design human-in-the-loop automation
- 03 Reduce repeated checks and chasing
- 04 Works well for teams with several stakeholders and too many disconnected tools.
// what you leave with
Outcomes
- Manual process map
- Automation route
- Human review points
- First-version workflow
// 06 - questions
London AI Workflow Consultant FAQ.
Do you work with London teams remotely?
Yes. Most work can run remotely. If a workshop would help, the first step is still a short call to understand the problem and decide whether a session is worth the time.
What does a AI workflow consulting project usually start with?
It usually starts with one narrow problem: a slow process, a technical blocker, a content system that has become messy or an AI idea that needs turning into a controlled workflow.
How quickly can you find the first useful project?
In most cases, the first useful route is visible after a review call and a small sample of the existing process, crawl, content, report or workflow.
// ready when you are
Find the first useful project for your London team.
Book a review call. We will look at the work, the risk and the first sensible step before agreeing anything.
Book a review