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HEB Construction automates tender CVs with Boomi AI

HEB Construction automates tender CVs with Boomi AI

Wed, 2nd Sep 2026 (Today)
Joseph Gabriel Lagonsin
JOSEPH GABRIEL LAGONSIN News Editor

HEB Construction has automated part of its tender process with software from Boomi, reducing manual work on proposal documents, according to the companies.

The New Zealand construction company had been managing staff resumes and biographies across multiple folders, sites, and document versions. That created delays whenever teams needed project-specific CVs for bids. Tender staff often had to assemble material by hand under tight deadlines, with information stored in formats that were difficult to search and reuse.

To address that, HEB built two AI agents on Boomi's platform. One, called Shredder, breaks down CVs into structured data linked to employee records. Another, called Bob, uses that information through a chat interface to generate tailored CVs and short biographies for proposal teams.

HEB, part of VINCI Construction Group, works on large civil engineering projects across New Zealand. In that market, tender submissions are a routine part of winning work in the public and private sectors, and they often require detailed, project-specific information about the people proposed for each job.

The underlying issue was not a lack of information, but how it was stored. Multiple versions of employee profiles had accumulated over time, and key details about skills and project experience were effectively locked inside unstructured documents.

Annette Rangi, Head of Digital Transformation at HEB Construction, said the company wanted a more dependable way to use that information.

"We were looking for an enterprise solution that could provide the supportability, reliability, and data consistency needed to improve uptime across our business," said Annette Rangi, Head of Digital Transformation at HEB Construction.

Once the information was consolidated, HEB used Boomi Data Hub to create what it described as employee golden records. Those records act as the central reference point for the AI tools, with structured data extracted from resumes and other documents and made available for reuse across the business.

The aim was to improve the quality of source data before applying automation to document creation. That approach was intended to reduce inconsistencies in proposals and lower the risk of errors caused by rushed manual editing.

Rangi said access to reliable information was the central issue.

"Most organisations have large amounts of data, but what's important is activating the data and making it available for users," said Rangi.

"When the data available to businesses has a high level of integrity, people can focus on the things that really matter," she said.

According to HEB, the result has been a faster process for producing bid-ready staff profiles, with teams no longer starting from a blank page for each tender response. That has saved hours on every proposal and allowed staff to spend more time on higher-value work tied to tender management and proposal quality.

People and process

Rangi framed the project as an effort to make internal knowledge easier to access, rather than a standalone technology deployment.

"This is not really a story about technology, it is a story about our people, their knowledge and how we can make that knowledge more accessible and useful. Technology simply helps us unlock the value that already exists within our organisation," said Rangi.

She also described the breadth of the company's internal systems in practical terms.

"We often describe Boomi as everything connecting 'payroll to potholes'," said Rangi.

Medcen Fatuloa, Integration Engineer at HEB Construction, said the previous process depended on repeated document searches and manual reuse of material already held by the business.

"Before we implemented Boomi, teams would spend hours going through our documents and CVs. The information existed, but it was locked inside documents, and often difficult to reuse efficiently," said Medcen Fatuloa, Integration Engineer at HEB Construction.

"The information is valuable because it represents the knowledge and experience of our people at HEB Construction. The better we can access it and reuse it, the more value we can create for our teams and our customers," said Fatuloa.

HEB said staff remain responsible for final outputs, with automation used to prepare draft material rather than replace human oversight. That reflects a broader concern among companies adopting generative AI tools for operational tasks, particularly where client-facing documents must be accurate and tailored.

Boomi said the HEB project shows how structured internal data can be used beyond back-office integration work. David Irecki, Chief Technology Officer, APJ at Boomi, said the project had produced benefits beyond a single document workflow.

"HEB Construction has shown when data is unlocked and connected across an organisation, the benefits go far beyond a single document," said David Irecki, Chief Technology Officer, APJ at Boomi.

"Boomi is delighted to have helped HEB Construction turn scattered data into a trusted and structured source of truth, powering an AI workflow that gives tender teams instant access to accurate, reusable information," he said.