Real Automations. Measured Results.

Invoice chasing that consumed entire mornings

Late payments were costing Brightside an average of £4,800/month in delayed cash flow. Every reminder email was written manually — by senior accountants. The wrong people doing the wrong work.

Client onboarding built on spreadsheets and PDFs

New client intake involved six back-and-forth emails, two spreadsheets, and a PDF form that had to be keyed manually into their accounting system. A single new client took 3–4 hours of admin time to onboard correctly.

An email inbox that never emptied

General enquiries — tax deadlines, fee questions, document requests — sat in a shared inbox for days. Staff were context-switching constantly, breaking concentration on billable work to answer questions that could have been automated.

Invoice Automation Pipeline

VentFlow built a full invoice chase sequence inside QuickBooks connected to Zapier. Reminders fire automatically at 3, 7, and 14 days overdue — each personalised with the client name, invoice reference, and a one-click payment link. Escalations land in a daily digest for the director rather than interrupting a busy accountant. Cash flow improved by £3,200/month within the first 45 days as previously-delayed invoices cleared faster.

Client Intake Bot

A structured digital intake form replaced the six-email back-and-forth. New client data flows directly into the CRM and creates the client record automatically. Documents are requested, chased at 48-hour intervals, and filed without human intervention. Onboarding time dropped from 3–4 hours to 25 minutes — and clients reported a more professional first impression.

Email Auto-Responder

A trained AI responder now handles 70% of incoming enquiries using a knowledge base VentFlow built from Brightside's FAQs, fee schedule, and standard procedures. Complex queries are triaged to the right team member with context already attached — no one starts from zero. The shared inbox backlog that previously ran to 80+ messages cleared within a week of go-live.

Staff fielding the same questions 40 times a day

Opening times, parking, allergen menus, private hire availability — identical questions arrived endlessly across email, Instagram DMs, Google Messages, and phone calls. Front-of-house staff were being pulled off the floor to answer them during service.

Booking requests falling through the cracks

The team managed private event enquiries across email, a booking platform, and WhatsApp simultaneously. Requests were getting missed. One missed £3,200 corporate booking was the moment Ben decided something had to change.

Complaints escalating due to slow response times

A complaint that receives a response within 2 hours is typically resolved. A complaint that waits 18 hours becomes a public 1-star review. Ben's venues had a 24+ hour average complaint response time — and the Google ratings reflected it.

AI Chat Responder (Multi-Channel, Multi-Venue)

A single AI responder was trained on all four venues' FAQs, menus, allergen data, opening times, parking information, and private hire policies. It was connected to each venue's email inbox, Instagram DMs, and Google Messages. Customers now receive accurate, venue-specific responses in under two minutes — 24 hours a day, 7 days a week — without a staff member touching the keyboard.

Booking Automation

Private hire and large-group enquiry flows were rebuilt from scratch. Interested parties complete a short qualification intake (automated), receive a personalised quote within 15 minutes (automated), and follow-up reminders chase non-responders every 48 hours. Confirmed bookings trigger a deposit request link, a confirmation email with full event details, and a calendar entry — all without staff involvement.

Complaint Triage System

Complaints are now identified automatically via keyword detection and sentiment analysis across all inbound channels. Every complaint receives an immediate acknowledgement — typically within 90 seconds — and is routed to the relevant venue manager with full message history and context already attached. Resolution time dropped from an average of 36 hours to under 3 hours.

Every order confirmation written by hand

The team was manually sending order confirmations, dispatch notifications, and delivery updates across Shopify and Gmail. At 80 orders a month it was painful but survivable. At 200 it would have been impossible. They had a growth ceiling they couldn't see past.

Refund requests handled case-by-case, every time

Every refund request triggered the same manual process: locate the order, check the policy, draft a reply, process the refund if approved, send a follow-up confirmation. A single refund case averaged 25–35 minutes of founder time. At peak volume, they were handling 15+ per week.

Supplier follow-ups falling off the radar

With three suppliers across two countries, chasing restocks and delivery confirmations was consuming 4–6 hours per week. Late supplier deliveries were causing stockouts that weren't discovered until customers started complaining — damaging both reviews and repeat purchase rates.

Full Order Workflow Automation

Every step of the order lifecycle — confirmation, dispatch notification, estimated delivery, delivery confirmation, post-delivery check-in, and review request — was automated via a Shopify + Make.com pipeline. Each message is personalised with the customer's name, product details, and accurate delivery window. The entire sequence runs without any human input per order, at any volume.

Refund Bot

A structured refund request flow was built with an intake form, automatic policy check, and conditional routing logic. Standard refunds — within policy, first claim — are processed and acknowledged automatically within 4 minutes. Edge cases, disputes, and high-value returns are escalated to a founder with the full order history and customer context pre-loaded. Time-per-refund dropped from 25–35 minutes of founder time to under 2 minutes of exception review.

Supplier Reminder System

All three suppliers now receive automatic restock reminders triggered by inventory thresholds pulled daily from Shopify. Delivery confirmation requests go out automatically 48 hours before each expected delivery date. If no confirmation arrives, an escalation notification goes to the ops lead with the relevant PO details. Since go-live, the team has had zero stockouts caused by undetected supplier delays.