Function

Proposals & Business Development

Company Size

80+ consultants

Delivery Model

Development POD

Industry

First nations consulting

Winning work. Losing time

The organisation is a consulting and engineering firm that responds to competitive tenders and RFPs across multiple sectors. Proposal teams spent days manually sourcing CVs, writing capability statements, finding relevant project references, and assembling tender content work that was repetitive, time-consuming, and bottlenecked through a small number of senior staff.

The Challenge

Too Much Demand. Not Enough System

01 Manual CV sourcing & formatting

Finding and tailoring CVs for each tender took hours and relied on individuals knowing who had relevant experience.

02 Scattered project references

Past project references were stored across emails, drives, and team members' memory not systematically retrievable.

03 Senior staff bottleneck

Proposal writing required experienced staff who understood the firm's capabilities limiting how many tenders could be pursued.

04 Inconsistent proposal quality

Each proposal varied in tone, format, and completeness depending on who wrote it and how much time was available.

The Solution

An AI proposal engine built on the firm's own content library

Content library ingestion

CVs, project references, capability statements, and past proposals indexed into a searchable AI knowledge base.

Tender-aware document drafting

The AI reads the RFP/tender brief and drafts tailored responses pulling the right references, staff, and language automatically.

Capability matching engine

Instantly surfaces the most relevant project experience and staff profiles for any given tender scope or sector.

Review & refine workflow

Senior staff shift from assembly to review cutting time on proposals while maintaining quality control.

For a small HVAC contractor, staying current on compliance isn't optional but for many, the burden of managing it can be enough to bring a business to its knees. What we're developing gives our members instant, reliable guidance that keeps them compliant and takes the guesswork out of an area that genuinely keeps people up at night. Because at the end of the day, this is about keeping people safe and giving contractors the tools to do that without it costing them their business.

Benjamin Hawkins

Chief Executive Officer

Impact Study FY26

AI-Powered Proposal Automation

Turning days of manual proposal assembly into hours for a consulting and engineering firm.

Impact Metrics

Measurable Business Impact

Delivering measurable improvements in efficiency, cost savings, and operational performance.

70%

Reduction in proposal assembly time

3x

More tenders responded to per month

The Challenge

Too Much Demand. Not Enough System

01

Manual CV sourcing & formatting

Finding and tailoring CVs for each tender took hours and relied on individuals knowing who had relevant experience.

02

Scattered project references

Past project references were stored across emails, drives, and team members' memory not systematically retrievable.

03

Senior staff bottleneck

Proposal writing required experienced staff who understood the firm's capabilities limiting how many tenders could be pursued.

04

Inconsistent proposal quality

Each proposal varied in tone, format, and completeness depending on who wrote it and how much time was available.

The Solution

Capabilities Delivered

Transform How Your Teams Access Knowledge

Aether connects your systems and makes operational knowledge instantly accessible across your organisation.

Let’s Build Smarter AI Experiences

Let’s Build Smarter AI Experiences

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