Real systems, in production.

Three engagements, anonymised by sector. Each delivered to spec, handed over with source and runbook, running in production today.

CASES03 IN PRODUCTION02 PILOT01

+ // 01 // ENERGY SECTOR

Automated lead intelligence

PROD

PROBLEM

B2B prospecting reduced to manual research and bespoke outreach. Slow, inconsistent, impossible to scale.

SOLUTION

A chatbot collects the brief, identifies matching companies, scans the internal contact database, fills gaps via Apollo.io, surfaces warm-intro paths, and prepares the outreach drafts.

STACK Claude API Apollo.io Airtable n8n SCALE 8,000+ contacts · LinkedIn, events, internal sources

+ // 02 // CONSTRUCTION

End-to-end procurement automation

PROD

PROBLEM

A supplier list with 6,000+ entries, queried by hand. Outreach drafted one supplier at a time.

SOLUTION

Automated supplier selection with a favourites layer, gap-filling via Google Maps, personalised outreach, and a dashboard tracking every conversation per supplier.

STACK n8n Airtable Google Maps Claude API SCALE 6,000+ supplier records · queryable, tracked, scored

+ // 03 // AI SERVICES

Zero-touch bookkeeping

PILOT

PROBLEM

Hundreds of invoices and subscriptions per month. No time to file them by hand.

SOLUTION

Invoices are read automatically, captured in Airtable, uploaded to SevDesk, and reconciled against the bank account.

STACK n8n Airtable Mistral OCR Claude Vision SevDesk SCALE 100s of invoices and subscriptions · monthly

A system to specify, an integration to fix, an agent to ship?

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