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Results

ABM Case Studies

ABM for technology vendors in Australia and New Zealand. David & Goliath builds and runs account-based marketing programmes for enterprise accounts.

Published client results

David & Goliath published these three case studies on 1 November 2026. Figures from David & Goliath client records, checked against source on 25 October 2026.

Oligo Security

Oligo Security had no local entity and no local seller in Australia or New Zealand. The first two meetings were booked within 10 days of starting, and the 90 day pilot, 1 February to 30 April 2026, booked 16 meetings. The pilot became a paid six month engagement before it ended. (Source: David & Goliath client records, checked against source on 25 October 2026.)

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Colab Cohorts

Colab Cohorts had no one in an outbound sales role. In the first ten weeks, 7 meetings were booked from 1,384 dials. Over eight months, October 2025 to June 2026, 20 meetings were booked by phone from 7,580 dials, in Australia and Singapore. (Source: David & Goliath client records, checked against source on 25 October 2026.)

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A global cloud security vendor

A global cloud security vendor started in one market. By 31 August 2026, David & Goliath had checked 496 accounts and taken out 80 existing customers before the first dial. One paid test had 8 leads at A$58.23 each, read 24 September 2026. The programme was running in two markets by 22 October 2026. (Source: David & Goliath client records, checked against source on 25 October 2026.)

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Employee Amplification Systems

How a Property Management Firm Used an AI Operations System to Handle Tenant Repair Requests Faster Without Adding Staff

Commercial Property Management • Tenant Operations • Multi-Property Portfolio

Client Overview

The client is a commercial property management firm responsible for managing tenant relationships, building operations, and maintenance requests across multiple commercial properties.

Like many property management teams, the firm receives a large volume of inbound repair requests from tenants. These requests typically arrive through a shared email inbox and require property managers to review the message, gather relevant information, and coordinate repairs with contractors. The firm wanted to improve response speed and operational efficiency without expanding their operations team.

The Challenge

The property management team handled tenant repair requests manually through a shared inbox. Each request required reviewing tenant messages, identifying the relevant property or unit, checking lease and property information, drafting responses, and creating or updating repair work orders.

This created delays in responding to tenants, incomplete information in incoming emails, time spent retrieving property details, and growing administrative workload. As the portfolio grew, the team needed a way to handle more inbound requests without increasing headcount.

The Strategy

David & Goliath designed an Employee Amplification System to support the property management team. Rather than replacing employees, the goal was to augment their workflow by automating repetitive operational tasks.

The system was designed to monitor incoming repair requests, classify them automatically, retrieve missing property or lease information, draft appropriate responses, and assist with repair work order creation. Human review remained in place for all operational decisions.

Implementation

David & Goliath deployed a Proof of Concept AI operations system integrated with the client's existing workflows. The system was configured to monitor a central repairs inbox and analyse incoming tenant messages.

Using AI classification and retrieval-augmented generation, the system could read and categorise repair requests, identify missing information such as property address or unit, retrieve relevant details from the property and lease database, draft suggested response messages, and assist with repair work order preparation.

Property managers review and approve all AI-generated outputs before sending responses or initiating repairs. This approach ensures AI accelerates workflows while humans retain operational control.

Results

By automating classification, information retrieval, and response drafting, the system allows property managers to focus on coordination and tenant relationships rather than administrative tasks.

Strategic Insight

Many service businesses attempt to scale operations by hiring additional administrative staff. Employee Amplification Systems take a different approach. By embedding AI into operational workflows, companies can increase team capacity without increasing headcount. For property management firms handling large volumes of tenant communication and maintenance coordination, this approach can significantly improve responsiveness and operational efficiency while keeping teams lean.

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