€800M
2020–2023 experience · pre-agentic
pricing decisions supported
Rebuilt ERP pricing logic in Python during an SAP migration, then created a transactional database and decision dashboards.
Python · SQL · Power BIAgentic 50× Dev · 20 years of real-world experience
Julien Vaughan
I design and deliver custom solutions that create value for businesses. Twenty years of real-world experience, including seven years turning business problems into production applications — not PowerPoint decks.
“Not consulting for consulting's sake — working results.”
The internet democratised knowledge. AI is democratising execution. I launched OaService to put my agentic-engineering skills to work for businesses with real problems to solve.
20 years in operations · 7 years building
Operational proof
The outcomes — and how they were achieved.
These results come from earlier professional experience, before my current agentic-engineering approach. Agents now increase my delivery capacity; they do not rewrite the past.
50+
2020–2023 experience · pre-agentic
countries served consistently
Standardised the pricing process and automated email and PDF communications for local teams.
Python · email/PDF automation · data pipelines
95%
2020–2023 experience · pre-agentic
manual workload removed in three weeks
During the first month of my work-study placement at Carrier, repetitive preparation, transformation and distribution steps were replaced with an automated, controllable flow.
Python · SQL · Power BI
27×
Earlier experience · no coding agents
ROI from a targeted digital campaign
€1.3k in spend generated €35.1k in sales over nine months and 80+ new customers through targeting built from business and public data.
SQL · Python · modelling · commercial targeting
25k → 100k
Earlier experience · no coding agents
qualified, rankable prospects
Built a prospecting model combining internal CRM, INSEE and cadastral data to rank the addressable market.
Python · SQL · ETL · public dataThe method
Reverse SDLC
A practical playbook for IT development in the AI era.
I immerse myself in your business, the problems you need to solve and the optimisation you are looking for. Twenty years across sales, hospitality, logistics, airport operations, credit-card back-office operations, pricing and business intelligence help me connect the human, operational, commercial and technical dimensions quickly.
The highest-return opportunities are often overlooked because they live closest to execution: in tasks repeated every day by frontline teams. A few minutes saved, one error prevented or one better-supported decision then compound at scale.
Immerse in the business
Observe real work with the people doing it: goals, volume, friction, exceptions, workarounds and everyday decisions.
Return to first principles
Turn scattered documentation, tacit rules and the desired outcome into a coherent view of the system and its constraints.
Open the specs to experts
Set up a secure web application where domain experts answer questions, fill gaps and validate trade-offs.
Prototype to learn
Put the future system in users' hands so the specs improve and the right architecture is validated before investing in the MVP.
Build the MVP with agents
Direct AI agents inside explicit guardrails while I remain accountable for the model, architecture, code, security and tests.
Observe, correct, deploy
Test with users, instrument disclosed logs and AI interactions, correct quickly, then handle authentication, servers and production deployment.
I cover the entire chain: business discovery, specifications, prototypes, architecture, code, tests, authentication, servers and deployment. One accountable operator, reinforced by specialised AI agents.
Explore the methodConfidential programme · €80M-turnover business
Turning business knowledge into testable architecture.
Existing documentation and first principles become decisions, controlled specifications and then prototypes future users can genuinely challenge.
● In progress: architecture and user-prototype validation.
- Operational knowledge → traceable decisions
- Controlled specs → testable prototypes
- Architecture validated before production
Systems already in the wild
Credibility is also what keeps running when nobody is watching.
Two public products designed, deployed and operated end-to-end — user experience through infrastructure.
OaService SIRET
Bulk enrichment for B2B databases: import, resilient matching, confidence scoring and reusable export.
Why it existsIt began with a practical need: match a business database with official records without checking every line by hand. Time needed to go to ambiguous cases, not repeated lookups.
See the system ↗OaService Rappels
SMS, WhatsApp and email reminders designed to reduce missed appointments without bypassing consent rules.
Why it existsIt was first built to help an osteopath friend re-engage patients, reduce missed appointments and request reviews without manual follow-up.
« With automated reminders scheduled every four weeks, our retention rate has improved significantly and our no-shows have fallen considerably. Within a few months, we received hundreds of additional Google reviews, with no manual effort. OaService Rappels is simple to set up and runs on its own. »
Boina MZE, osteopath D.O. · La Maison de l'Ostéopathie, Meximieux · 349 reviews · 5.0 ↗
Field experience
“I also write”
Articles written with AI assistance from my real-world experience — data, automation and development.
18 August 2026
Cheaper code is making custom software economically viable again
Agentic engineering changes the economics of IT projects: friction that was once too small to justify software can now generate a very concrete return.
Read the article ↗ 20 March 2026A missing SIRET is not a detail. It is a decision waiting to happen.
B2B enrichment only matters when it advances a commercial, accounting or operational decision.
Read the article ↗ 24 March 2026A missed appointment is a system failure, not just a forgotten date.
Effective reminders are more than an SMS: they make the next action clear and respect the customer relationship.
Read the article ↗ 28 March 2026AI accelerates code. Specifications accelerate the system.
Agentic leverage comes less from a spectacular prompt than from explicit decisions, constraints and verification.
Read the article ↗The Process Teardown
Send the process costing you time, money or energy.
Answer a few questions to get an initial structured view of the friction worth validating. It is a working hypothesis, not an automated diagnosis or quote.
Do not enter secrets, passwords, confidential documents or sensitive personal data.
Or contact me directly
contact@oaservice.fr
France · Canada · United Kingdom · remote