AI Automation · Professional Services

Cutting Admin Time by Automating How Enquiries Reach the Right Person

A professional services firm's website enquiries all landed in one shared inbox, where they were manually read, categorised and forwarded — often a day or more after they arrived.

Client
Professional services firm, Midlands
Services
AI Solutions, Business Automation
Timeline
3 weeks
Integrations
CRM, shared calendar, email

The Challenge

Every enquiry — new client leads, existing client questions, and general admin queries — arrived in the same inbox and had to be manually triaged before anyone could act on it. Genuine sales enquiries sometimes sat for a day or two behind lower-priority messages, and there was no consistent record of what had been followed up.

Our Strategy

Rather than replacing the team's judgement, we used AI to do the first pass: read each enquiry, classify its type and urgency, and route it accordingly — leaving a human to make the actual decision, faster and with better context.

Implementation

  • Website enquiry form submits directly into an automation workflow instead of a plain inbox
  • AI classifies each enquiry by type (new business, existing client, general) and urgency
  • Qualified new-business enquiries are logged automatically in the firm's CRM with the classification attached
  • Urgent enquiries trigger an immediate notification to the relevant team member
  • Routine, low-urgency queries are queued for daily batch review instead of interrupting the team throughout the day

Technology

  • AI enquiry classification
  • CRM API integration
  • Calendar sync
  • Automated notifications

Automation

This is the same pattern described in more detail on our AI Solutions and Business Automation pages: AI handles the repetitive first pass, and the team focuses on judgement calls and relationship-building instead of manual sorting.

Results

  • New-business enquiries are now flagged and logged in the CRM automatically, rather than waiting for someone to notice and re-key them
  • Urgent queries reach the right person the same day, instead of sitting in a shared inbox until it's next checked
  • The team reported spending noticeably less time on manual sorting and re-entry of enquiry details

Client name withheld at their request. We describe reported outcomes qualitatively here rather than publishing specific time-saved figures, since we don't have an independently audited before/after time study for this engagement.

Related Reading

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