HamishAI

Case study · Professional services · New Town

Lomond & Grey Accountants

An understated, credibility-first rebuild for an Edinburgh accountancy practice, with an AI assistant that routes enquiries so billable time goes to the right clients.

Lomond & Grey Accountants — featured image

Results dashboard

Illustrative results

Concept demonstration — figures are illustrative of the kind of impact these AI features typically deliver, not real client data.

+60%

Qualified leads

1 day

Average response time

4 hrs

Partner time saved weekly

100%

Urgent enquiries flagged same-day

Before

The Challenge

  • Sole trader and limited company enquiries landed in the same generic inbox
  • Common tax-deadline questions took up hours of partner time each week
  • The old site read like a brochure — no clear next step for a visitor

After

The Solution

  • An understated, trust-first redesign organised around client type
  • An AI FAQ assistant that answers common deadline questions instantly
  • A lead-qualification form that routes individuals and businesses to the right team

Website showcase

This isn't a static mock-up — it's the real, working site. Scroll and click around inside the previews below.

Open full site

Key pages in this project

HomeServicesFAQGet in Touch
Live interactive demo

Try Lomond & Grey Accountants's AI assistant yourself

This is a real, working conversation — not a script. Lomond & Grey Accountants is an illustrative portfolio example, but the assistant below is genuinely thinking through what you type.

Lomond & Grey Accountants
Hello, I'm the AI assistant for Lomond & Grey Accountants. Ask about deadlines, our services, or get routed to the right team.

What the AI actually does

Try it for real in the demo above — here's what's happening behind each conversation.

AI FAQ Assistant

Answers common tax-deadline questions instantly, so clients aren't waiting on an email the night before it's due.

Client Onboarding & Routing

Qualifies each enquiry by client type and routes it to the right team automatically.

How it actually works

From the moment a customer types a question, to the business getting notified — end to end, automatically.

Customer asks a question

AI understands intent

Knowledge base searched

Response generated

Booking created

Business notified

Illustrative example — not a real client

Enquiries used to all land in one inbox regardless of what they actually needed. Now the right person sees the right question, first time.

Partner, Edinburgh accountancy practice

Technologies used

Next.jsTypeScriptTailwind CSSAnthropic ClaudeResendVercel

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