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Case Studies

Real results from automation-first engagements.

Clearwater Intelligence
Operations Automation

Building an autonomous research engine for a data intelligence firm

Analysts were spending 20+ hours a week on manual research across dozens of sources. Classification was inconsistent, the CRM was always behind, and several key sources had no API - making standard automation unworkable.

100%Manual research hours eliminated
80%+Reduction in processing time
Northfield Media
Content Operations

Cutting content production time by 75% for a media publishing team

The content team was spending most of each week on production with almost no time left for strategy. Brand voice was inconsistent across formats and SEO was being applied after the fact rather than baked in from the start.

75%Reduction in production time
30 minBrief to finished piece
Stockwell Commerce
Operations Automation

Automating product form creation for a scaling ecommerce catalogue

Every new product required four to six manual actions from the CS team. No error handling - if a step was missed, no one knew until a customer hit a broken link. No reliable way to see which products had forms without checking the sheet manually.

4 secPer product form created
204Items processed per cycle
Frontline Advisory
Sales Automation

Rebuilding the lead response system for a multi-channel sales team

First-contact time was measured in hours. Follow-up sequences were inconsistent - some leads received all five touchpoints, others received one. Contacts were sometimes duplicated and replied leads were still receiving automated messages.

SecondsTime to first contact
5-dayNurture sequence, automated
Harmon Advisory
Customer Support Automation

Taking manual email triage off the support team's plate entirely

Triage was manual and inconsistent. Response time varied based on who was available, not urgency. Internal docs were spread across Google Drive with no time to search. Document updates meant manually re-briefing the support team each time.

0Manual triage steps per email
Support volume per team member
Physical Therapy First
Operations Automation

Turning one shared front desk into a system that never drops a patient

Every new patient meant twenty-plus minutes of manual insurance verification and chart setup, done by hand before they walked in. No-shows were running at 18% across all three clinics, with no shared waitlist to fill an empty slot when someone cancelled.

80%Reduction in admin time per new patient
7%No-shows, down from 18%
Be London
Customer Support Automation

Answering every guest enquiry in minutes, from one small office

Enquiries were taking an average of five hours to answer outside office hours, checked by hand against dozens of listings across fifteen neighbourhoods. Bringing a new landlord's property live across every booking channel took two full weeks of manual setup.

8 minAverage first response time, down from 5 hours
31%More enquiries converting into booked stays
Aesthetics Lab
Customer Support Automation

Turning six WhatsApp inboxes into one instant booking system

Each of the six branches ran its own WhatsApp number, answered manually, with replies during peak hours taking 25 minutes on average. With more than 15,000 clients on file, there was no consistent way to remind anyone their next session in a package was due.

50 secAverage WhatsApp response time, down from 25 min
86%Package completion rate, up from 62%
The Fifth Avenue Hotel
RevOps Automation

Closing the gap between a guest's inquiry and a signed contract

Every private event inquiry took an average of four days to turn into a custom proposal, built by hand and checked against a floor plan and a spreadsheet of vendor rates. Thirty-eight percent of inquiries went cold before a proposal ever reached the client's inbox.

3 hrsProposal turnaround, down from four days
22%More inquiries converting into signed contracts

Most early-stage teams are 5 automations away from feeling in control.

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