Aniku Gul

Calculate Your Waste

Engineers on your team 10

Hours/week on admin & data work 8

Average hourly cost (£) £45

You're losing

£187,200

per year on manual busywork

Let's fix that

Opportunity Finder

Select the challenges your team faces. See where automation can help.

Engineers spend ages finding documents Weekly reports take hours to compile Equipment fails without warning Data is scattered across systems Audit prep is stressful and rushed Approvals get stuck in email chains Knowledge leaves when people leave Too much copy-pasting between systems

0 automation opportunities identified

What I Automate

Before

Manual data extraction from scanned docs
Hours searching for spares & history
Copy-pasting the same explanations
Cleaning messy job comments by hand
Scrambling before audits
Chasing approvals via email

After

AI extracts and structures automatically
Semantic search finds anything in seconds
Templates auto-generate from context
NLP parses and categorises at scale
Evidence compiled continuously
Workflows route and notify automatically

Humans still decide. The system handles everything else.

How I Work

Pilot

2–3 weeks

One workflow automated end-to-end
Measurable reduction in manual effort
Clear before/after comparison

Implementation

Multiple workflows automated
Integrated into existing processes
Training and handover included

Ongoing

Continuous refinement
New workflows added over time
Ongoing support

What I've Built

Real systems. Real results. Running in production today.

⚡ Equipment Failures

Catch problems before they break

Pumps and motors now flag issues days before failure. No more emergency callouts at 3am. No more "we didn't see it coming."

Early warnings instead of emergency repairs

📝 Technician Notes

150,000 job comments, now searchable

Years of "pump making weird noise" and "checked valve, seemed fine" notes. AI reads them all and spots patterns humans miss.

Hidden insights from messy data

🔍 Finding Information

"Where's the manual for that valve?"

Ask in plain English. Get the answer in seconds. No more digging through folders, SharePoint, or asking Dave who's on holiday.

Seconds instead of hours searching

📊 Reporting

Reports that write themselves

Weekly updates, KPI dashboards, management summaries. All generated automatically from live data. No more Monday morning scramble.

Zero manual report building

✅ Audits

Audit-ready, all the time

Evidence compiled continuously in the background. When the regulator calls, you're not scrambling. You're clicking "export."

Always prepared for compliance checks

💬 Questions

"What's the failure history on Asset 4521?"

Engineers ask questions in chat. AI pulls from Maximo, SCADA, documents and replies in plain English with sources.

Instant answers from your own data

About

Multidisciplinary engineer with hands-on experience across electrical, mechanical, and software domains. Started as an apprentice, worked through maintenance technician roles, now leading reliability engineering and AI initiatives in UK critical infrastructure.

Self-taught in ML and automation. I build practical systems that ship, not POCs that gather dust. Everything integrates with your existing stack.

AI & ML

OpenAI, Claude, Gemini APIs, LangChain, PyTorch, Fine-tuning, Prompt Engineering, RAG, Predictive Maintenance

Data

PostgreSQL, Supabase, Vector DBs, Microsoft Fabric, Power BI, SQL, Pandas, ETL

Automation

Azure AI Foundry, Azure AI Search, Power Automate, Copilot Studio, n8n, REST APIs

Engineering

Vibration Analysis, Ultrasound, Oil Analysis, MCA, EDM, RCA, SCADA, PLC, Maximo

Development

Full-stack SaaS, End-to-end Web Apps, FastAPI, Node.js, Git, Docker

Domain

Asset Reliability, Critical Infrastructure, Compliance, Procurement

Get In Touch

Ready to automate the busywork?

Tell me about your challenges and I'll get back to you within 24 hours.