When is the submission deadline?

Submissions are due August 27, 2026.

It was issued by Nz Transport Agency Waka Kotahi. The work is located in New Zealand.

Who is a good fit for this opportunity?

AI and predictive analytics firm with project forecasting expertise. Experience integrating complex cost, risk, schedule, and assurance data. Demonstrated responsible AI, explainability, security, and auditability capabilities. Experience delivering pilot implementations and enterprise decision-support tools. Strong knowledge transfer, documentation, and configurable or maintainable solution practices. Ability to support public-sector or major infrastructure program environments.

AI-Enabled Forecasting and Delivery Confidence Tool (Due August 27, 2026)

Overview

Data Analytics, AI & Cloud Hosting

New ZealandPosted: August 1, 2026Deadline: August 27, 2026

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SUMMARY

The agency seeks an AI-enabled tool to analyse project data and generate forecasting and delivery confidence insights across cost, risk, and schedule. Proposals should address implementation, responsible AI, security, explainability, integration, and internal knowledge transfer.

KEY REQUIREMENTS

Must have experience delivering AI-enabled, digital, analytical, forecasting or assurance solutions in complex infrastructure, construction, transport, utilities, or public sector environments.
Must be able to provide a practical AI-enabled methodology for generating cost, risk, and schedule forecasting insights.
Must demonstrate ability to handle data ingestion, structuring, and validation from sources like Excel, CSV, risk registers, and project reports.
Must have a robust approach to data governance, security, confidentiality, and responsible AI.
Must provide a clear pathway for NZTA to build internal capability and avoid unnecessary long-term supplier dependency.
Must be able to support implementation and adoption across project, commercial, and governance stakeholders.

TIMELINE

Open: July 23rd, 2026

Close: August 27th, 2026

Issuing Agency

Nz Transport Agency Waka Kotahi

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DESCRIPTION

The agency is seeking a vendor to provide an AI-enabled forecasting and delivery confidence tool capable of ingesting, structuring, and analysing raw, semi-structured, and structured project data. The data is expected to include cost, risk, schedule, reporting, and assurance information, which the solution should convert into practical forecasting and decision-support outputs.

The proposed solution should address data ingestion, data structuring, data quality, data management, and integration requirements. It should describe forecasting methods, predictive modelling, and AI-enabled techniques, including how outputs will be tested, validated, and explained. The tool should support explainability, user confidence, and adoption among project, commercial, and governance users, with forecasting confidence for cost, project risk, and schedule requirements across the Investment Case, Pre-Implementation, and Implementation stages.

The response should also cover reporting formats, confidence indicators, exception triggers, decision-support outputs, security, confidentiality, responsible AI, auditability, and assurance controls. Vendors should outline implementation staging, a pilot approach, support requirements, indicative resourcing, commercial model options, delivery risks, supplier dependency considerations, knowledge transfer, documentation, intellectual property, licensing, source code or configuration access, and the steps required for the agency to maintain and improve the tool internally.

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Frequently asked questions

When is the submission deadline?: Submissions are due August 27, 2026.
Who issued this RFP?: It was issued by Nz Transport Agency Waka Kotahi. The work is located in New Zealand.
Who is a good fit for this opportunity?: AI and predictive analytics firm with project forecasting expertise
Experience integrating complex cost, risk, schedule, and assurance data
Demonstrated responsible AI, explainability, security, and auditability capabilities
Experience delivering pilot implementations and enterprise decision-support tools
Strong knowledge transfer, documentation, and configurable or maintainable solution practices
Ability to support public-sector or major infrastructure program environments

Analysis generated by Settle AI from the source RFP.

RFP Hunter shows what is open. Settle shows what is forming.

Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.

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