Real-world examples

Built an AI layer on top of their Gmail inbox that reads every incoming email, classifies it by type and urgency, and for routine categories — status requests, booking enquiries, supplier confirmations — drafts a contextually accurate reply ready for one-click send. Urgent and sensitive emails are flagged with a plain-English summary and routed to the right person.

Built a workflow that monitors the shared inbox, uses an LLM to extract structured data from each email — contact details, project type, budget signals, timeline — creates the CRM record with fields pre-populated, assigns to the right rep, and fires an acknowledgement reply, all within seconds of the email landing.

Designed and built an email workflow engine that fires the right sequence based on what each prospect actually does — opens, clicks, in-product events, or silence. Sequences escalate, pause, or branch depending on behaviour, with AI-written copy variations to avoid repetition. Every interaction syncs back to HubSpot.

Built a retrieval-augmented generation system that lets the team ask questions in plain English and get accurate, sourced answers from their own document library. Integrated with their existing Slack workspace.

Deployed an AI classifier that reads incoming tickets, categorises by issue type and urgency, drafts a suggested response for straightforward queries, and routes complex cases to the right specialist with context pre-filled.

Built an automated pipeline triggered on form submission or list import: company data enrichment, LinkedIn profile matching, ICP scoring, and CRM record creation — all before the lead reaches a salesperson.

Built a real-time inventory orchestration layer that propagates stock changes across all channels within seconds of any sale, return, or manual adjustment — eliminating overselling and hours of daily manual reconciliation.

Designed and shipped a webhook-driven integration between Shopify and NetSuite. Orders flow into the ERP within seconds, fulfilment statuses sync back to Shopify, and finance get clean data for reconciliation automatically.

Built a pipeline using a fine-tuned LLM to generate SEO-optimised product titles, descriptions, and bullet points from raw supplier data. A human review layer flags any low-confidence outputs before publish.

Automated the full returns lifecycle — customer portal submission, warehouse notification, condition assessment routing, refund or exchange triggering, and carrier label generation — integrated with their Shopify and 3PL.

Built the integration layer between Shopify, the new 3PL's API, and a tracking aggregator — including automatic order routing, status webhooks, branded tracking emails, and a fulfilment health dashboard.

Designed and implemented a central data warehouse with automated ingestion from all source systems, a clean customer entity model, and a live dashboard for the leadership team — ending the weekly 'data reconciliation' meeting.

Integrated Stripe Billing with their internal product database and support tooling. Subscription events automatically provision or deprovision feature access, update the CRM, trigger onboarding sequences, and notify CS of at-risk accounts.

Built a reporting pipeline that pulls data from Google Ads, Meta, GA4, and Search Console, maps it to each client's custom KPIs, generates a branded PDF report, and delivers it to the client — every Monday morning without anyone lifting a finger.