Impact Study — FY26

AI-Powered Proposal Automation

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

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Function
Proposals & Business Development
Company Size
130+ SME companies
Delivery Model
Development POD
Industry
Engineering 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.

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

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.

Capabilities Delivered

AI content library & search
Tender brief analysis
Auto CV & reference matching
Draft proposal generation
We went from spending two days on every proposal to having a first draft ready in under two hours. The team now pursues tenders we would have previously had to pass on
Daniel Wright
-Business Development Lead

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