01 / 05

CASE STUDY

Morgan Hunt

Resolving operational friction and launching an autonomous recruitment model — without replacing a single system
250k
Lines of payroll data analysed in minutes
70
High-risk wage breaches identified
200k
Candidates in the autonomous pilot pool
Quake · quake.ai Morgan Hunt · Case Study
Morgan Hunt 02 / 05

From Legacy SaaS to AI-First Infrastructure

Morgan Hunt engaged Quake to solve two urgent operational bottlenecks and co-build a next-generation autonomous recruitment brand — all without disrupting the existing Salesforce setup.

01

Who They Are

One of the UK's longest-established specialist recruiters, serving public sector, charity, housing, education and healthcare clients since 1973. The Further Education division alone holds 200,000 candidates and 400 active clients — a dominant position in a high-volume market.

02

The Strategic Opportunity

Two immediate pain points — payroll compliance exposure and broken CRM email data — were costing money and risking penalties. Beyond the fixes, a longer-term opportunity emerged: a zero-touch autonomous platform to capture volume placements at a flat 10-12% fee.

Quake · quake.ai Morgan Hunt · Case Study
Morgan Hunt 03 / 05

Three Urgent Problems

Operational friction across compliance, data access and workflow — each carrying real financial risk.

01

Payroll Compliance Exposure

Monitoring contractor overtime and minimum wage compliance manually across hundreds of workers is near-impossible. A single breach can trigger financial penalties and public "name and shame" listings — a significant reputational and legal risk.

02

Broken Salesforce Email Sync

Salesforce's email sync aggressively blocks messages as perceived PII risks — leaving consultants with missing context and "Request Access" dead-ends. Seven years of relationship history locked inside Mimecast, invisible to the team.

03

High-Cost, Low-Automation Stack

Third-party plugins for email intelligence, compliance monitoring and candidate matching each carry per-head SaaS costs. Morgan Hunt was paying for fragmented tools that didn't talk to each other — with no unified intelligence layer underneath.

Quake · quake.ai Morgan Hunt · Case Study
Morgan Hunt 04 / 05

The Quake Infrastructure Layer

Three targeted deployments. No CRM migration. No disruption to existing workflows.

01

AI Compliance Agent — MyWage

A dedicated AI agent autonomously ingests the monthly MyWage export, processes hundreds of thousands of data rows, and surfaces high-risk wage breaches in minutes. Replaces expensive external consultancies and gives the CFO instant monthly peace of mind.

02

Mimecast Email Intelligence

Quake connects directly to Mimecast's open API — securely indexing Morgan Hunt's entire 7-year email archive in the background and piping context-rich interaction history directly into each consultant's view. No per-seat plugin required.

03

Unified AI Infrastructure

Both solutions sit on the same Quake Core backend — a single, secure AI infrastructure layer that scales across divisions. Future agents (candidate scoring, submission drafting, CRM sync) extend from the same foundation at zero additional setup cost.

Quake · quake.ai Morgan Hunt · Case Study
Morgan Hunt 05 / 05

Investing in Autonomous Recruitment

A phased deployment model — from semi-autonomous, consultant-in-the-loop workflows to a fully autonomous, zero-touch matching platform at a flat 10–12% fee.

01

Phase 1: Semi-Autonomous

Morgan Hunt's consultants remain in the loop while AI handles the heavy lifting: candidate scoring, CV parsing, submission drafting and CRM sync. Consultants review and approve at key decision points — dramatically compressing time-per-placement without removing human judgement from sensitive or complex roles.

02

Phase 2: Fully Autonomous

Starting with Morgan Hunt's Further Education division — 200k candidates, 400 active clients, market dominance — a zero-touch platform matches candidates to employers anonymously by AI, with no consultant in the loop for volume roles. Quake builds the matching engine and full backend infrastructure; Morgan Hunt captures placements at a flat fee that undercuts traditional agency margins.

Quake · quake.ai Morgan Hunt · Case Study