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Cyber Essentials
99.5% Uptime SLA
£2B+ Client Revenue Managed
UK-Based Servers
Our AI agent called 205 pharmacy locations across 200 branches asking about weight loss injection services. Here's what we found.
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Executive Summary
Note: Revenue figures represent projected potential losses extrapolated from our 205-call sample across 200 branches. These are not confirmed actual losses — they indicate the scale of opportunity based on observed patterns.
31.7% rejection rate × avg. service value (£700) × estimated monthly enquiries (1,200) × 12 months
= £9.1M projected annual impact
7 incorrect eligibility responses ÷ 44 successful calls = 15.9% misinformation rate × monthly volume
= ~680 potentially affected customers/month
"Too Busy" losses + Missed conversions + Compliance remediation costs
= £16.6M projected annual total
All projections based on sample data. Actual figures will vary based on true call volumes and conversion rates.
Problems Identified
I'm sorry. The pharmacy is busy at the moment. Please try again later.
Your BMI needs to be over twenty five.
Required disclosure: Nausea, vomiting, constipation, diarrhoea, and pancreatitis risk (rare but serious). 75% of calls confirmed service without comprehensive disclosure.
Financial Impact
These figures represent monthly and annual losses across all 200 branches of this large pharmacy chain. The calculations are based on average consultation values, conversion rates, and call volumes observed during our mystery shopping exercise.
| Source of Loss | Monthly (All 200 Branches) | Annual (All 200 Branches) |
|---|---|---|
| "Pharmacy Too Busy" Responses | £750K | £9.1M |
| Service Confirmation Failure | £265K | £3.2M |
| Safety/Quality Issues Causing Drop-off | £107K | £1.3M |
| Missed Upsells/Cross-sells | £196K | £2.4M |
| TOTAL LEAKAGE | £1.4M/month | £16.6M/year |
Additional opportunity: £50M+ in 560,000 unconverted enquiries sitting dormant in historical database
Call Examples
Review Intelligence
Alongside our mystery shopping calls, we analysed 1,200+ Trustpilot and Google reviews across all 200 branches. The patterns in public reviews directly correlate with the problems we found on the phones.
The branches with the highest "pharmacy too busy" rejection rates in our mystery shopping are the same branches generating the most negative reviews. The 15 worst-performing locations on calls account for 47% of all one-star reviews across the network. Sentiment has been declining for 6+ months, but nobody had connected the dots.
What Happens Next
This report is Phase 0. Here is the full journey from blind spots to full visibility, then the fix.
Mystery shopping your locations and analysing public reviews. This report is your external insight dossier.
Connecting to your recorded calls, emails, CRM, and tickets to reveal the full picture behind these numbers.
Deploying AI agents that directly address the problems the insight revealed. No guesswork, no generic automation.
Going Deeper
The mystery shopping and review analysis show what is happening from the outside. Once we connect Insight Agents to your internal data, we see why it is happening. Based on patterns we see across similar pharmacy and healthcare networks, here is what we would expect to find.
Despite being scheduled in the CRM, over a third of follow-up calls to enquiry patients are never completed.
Weight loss service enquiries via email take over 3 days to receive a response. Industry benchmark is same day.
Your team samples 3-5% of calls. The other 95% disappear. Insight Agents analyse every single one.
Revenue lost to dropped follow-ups, unlogged enquiries, and CRM records that do not match what actually happened on calls.
Data Sources We Connect To
The Fix
Once the internal audit confirms the full picture, we deploy Action Agents matched to the specific problems the insight revealed. Here is what that would look like for this network.
31.7% of calls hit "pharmacy too busy". An AI receptionist handles overflow, captures enquiries, and quotes accurately every time.
Solves: missed call patterns38% of follow-ups never happen. Leads get automatic nurture sequences within minutes of every enquiry call.
Solves: dropped follow-ups1.59/10 safety score. Real-time monitoring of every call to flag incorrect eligibility info and missing side-effect disclosures.
Solves: compliance violations560,000 unconverted enquiries sitting dormant. Automated reactivation campaigns to re-engage lost prospects and book consultations.
Solves: dormant lead databaseThe Business Case
Figures represent potential based on observed patterns. Actual results depend on implementation and call volumes.
Leadership
Executive Chairman & Co-founder
Award-winning technology entrepreneur who has provided technology services to clients ranging from SMEs to FTSE-100 companies across sectors from retail to defence.
pierslinney
CEO & Co-founder
Combined expertise in technology and clinical fields. Experienced innovator in deploying exponential technologies during platform shifts.
aalokshuklaWe'll mystery shop your locations, analyse your reviews, and present the findings on a live call. No commitment. No cost for the initial audit. Limited to 5 campaigns per month.
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