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Five evaluators read the same AI-generated summary before scoring a tender. By the time the panel meets, their scores are remarkably similar. Did five people independently reach the same decision, or did one AI interpretation shape five opinions?

In October 2026, Anthropic published a study of 50 professional analysts working with an AI agent that had been secretly given a randomly chosen preference. Across four analytical choices, the analysts followed the agent's preferred option 86% of the time, compared with around 50% if it had no influence. This episode looks at what that finding does and doesn't tell us, why a questionable assumption is harder to spot than a factual error, and what procurement's practice of individual scoring before consensus can teach any function using AI for important decisions.

In this episode:

• Why approving an AI recommendation isn't the same as deciding

• What the Anthropic study found, and its limits

• Why independent first views give an evaluation panel its value

• A hypothetical sourcing decision where a $120,000 price saving becomes around $44,000 in extra annual cost, before the one-off qualification cost and any resilience benefit

• What a 2026 study of trainee teachers suggests about forming your own view before seeing AI advice

• Why this isn't an argument against AI, and how to test when AI improves your decisions

View Before Review, for decisions that need judgement:

1. Before reading the AI's recommendation, record a short initial view: what you would choose, your main assumption, and what evidence would change your mind.

2. Ask the AI for its analysis, the assumptions behind its recommendation, and the strongest reasonable case for a different option.

3. Compare the positions. Which differences are facts you can check, and which are assumptions that need a decision-maker's judgement?

4. Record the final choice, why you made it, and how you will review the outcome.

The tender panel and manufacturer examples in this episode are hypothetical.

Sources

Anthropic, How AI agents shape experts' judgment calls (27 October 2026):

https://www.anthropic.com/research/agents-judgment-calls

Yan, D., Independent judgment before viewing generative AI recommendations reduces susceptibility to misleading advice: a randomized scenario-based experiment with preservice teachers, Frontiers in Psychology (28 September 2026):

https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2026.1936522/full

Procurement Services SA, Evaluation Process Guideline, version 1.1 (2023):

https://www.procurement.sa.gov.au/documents2/guidelines2/Evaluation-Process-Guideline.pdf

Episodes and resources: https://www.kaizina.com.au/podcast

Procurement at AI Speed is hosted by Zina Amir Moafi and produced by KaiZina.

General information only, not legal or financial advice.

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Some of the AI in your business didn't arrive through a sourcing decision. It arrived through a renewal.

From 1 July 2026, Microsoft increased prices on several Microsoft 365 commercial plans, with existing customers moving to the new pricing at renewal, and the update included Copilot Chat enhancements. In January 2025, Google brought Gemini into its Workspace Business and Enterprise plans. Your incumbent supplier may still be the right choice.

But convenience isn't the same as a commercial assessment.

In this episode:

• How AI arrives inside contracts you already have, without a sourcing decision

• Capability overlap versus supplier dependency, including suppliers that may rely on the same underlying AI models

• Two things to get documented before you renew

• Why APRA's April 2026 letter makes this a regulatory concern for Australian banks, insurers and superannuation trustees

Before your next software renewal, get in writing:

1. Which AI features are included, which cost extra, and how usage affects what you pay.

2. What happens if the supplier changes the AI features, the price, or how your data is handled.

The insurer example in this episode is hypothetical.

Sources

Microsoft, Microsoft 365 packaging and pricing updates (February 2026):

https://www.microsoft.com/en-us/licensing/news/2026-M365-Packaging-Pricing-Updates

Google Workspace Updates, The best of Google AI, now included in Workspace Business and Enterprise plans (15 January 2025):

https://workspaceupdates.googleblog.com/2025/01/expanding-google-ai-to-more-of-google-workspace.html

APRA, Letter to Industry on Artificial Intelligence (AI) (30 April 2026):

https://apra.gov.au/news-and-publications/apra-letter-industry-artificial-intelligence-ai

Episodes and resources: https://www.kaizina.com.au/podcast

Procurement at AI Speed is hosted by Zina Amir Moafi and produced by KaiZina. General information only, not legal or financial advice.

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!

Your leverage isn’t what your supplier saved. It’s what you could do instead.

AI is changing how suppliers deliver work, but that doesn’t automatically mean their productivity saving belongs to the buyer.

In Episode 4 of Procurement at AI Speed, I look at a more useful commercial question:

Is the price still right for the service we would buy today?

AT&T’s move to bring more routine legal work in-house with AI provides a useful example. Rather than simply negotiating a lower hourly rate, some of the work itself moved.

That changes the sourcing conversation.

In this episode, I explore three questions to bring into your next renewal:

1. Under the deal we signed, who keeps the efficiency gain?
2. Which parts of this service would we buy differently today?
3. When is our next real chance to reprice — and what needs to be ready by then?

The episode also looks at why longer-term contracts may need a price review when AI materially changes how the service is delivered — not as an automatic price cut, but as a reason to reopen the commercial discussion.

And there’s an important caution: a low price built on future AI productivity that hasn’t actually materialised may simply move the commercial problem into delivery.

The practical takeaway:

Don’t start by trying to prove how much AI saved the supplier.

Start with something you can actually test:

What would we buy differently today?

Procurement at AI Speed is a short-form series on what AI changes commercially for procurement — and where human judgement still matters.

Hosted by Zina. By KaiZina.

Explore KaiZina kaizina.com.au

Sources & further reading

Reuters — How AT&T is using AI to reduce its reliance on law firms, 8 October 2026.

Reuters — AI reshapes India’s IT services sector contracts as clients demand more for less, August 2026.

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What happens when your AI contract requires human approval — but the system can still allow the agent to act?

In Episode 3 of Procurement at AI Speed, I look at the gap between contractual authority and technical enforcement.

A rule written into a contract or policy only goes so far if the technology can still execute the action.

Using a simple procurement scenario, I explore three questions worth bringing into the next sourcing and contract discussion:

• What is the agent actually allowed to do? • What technically enforces those limits? • And who owns those controls after the contract is signed?

I also look at NVIDIA’s recent announcement of technology designed to enforce boundaries outside the AI agent itself — not as a product recommendation, but as a signal of where the market is heading.

The practical takeaway:

Don’t just ask whether an AI control exists. Ask to see what happens when the agent tries to cross it.

Because telling an agent what it can do is one thing. Technically stopping it from crossing that line is another.

The $100,000 approval threshold used in this episode is an illustrative scenario.

Procurement at AI Speed is a short-form series exploring what AI changes commercially for procurement — and where human judgement still matters.

Hosted by Zina. By KaiZina.

Explore KaiZina https://kaizina.com.au

Connect on LinkedIn

Zina Amir Moafi https://www.linkedin.com/in/zinaamirmoafi/

KaiZina https://www.linkedin.com/company/kaizina/

Sources & further reading

NVIDIA — Open Agent Safety Platform, 28 September 2026 https://nvidianews.nvidia.com/news/open-agent-safety-platform

Australian Signals Directorate — Careful adoption of agentic AI services https://www.cyber.gov.au/business-government/secure-design/artificial-intelligence/careful-adoption-of-agentic-ai-services

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!

AI can save procurement teams time. But what happens to that time next?

In Episode 2 of Procurement at AI Speed, I look at the difference between releasing capacity and actually turning that capacity into a better business outcome.

Using an example from BCG’s research on technology procurement, I explore what can happen when AI makes an individual task faster but the wider procurement process — approvals, decisions, negotiation preparation and priorities — doesn’t change with it.

The episode asks a practical question:

If an AI initiative reports thousands of hours saved, what did those hours become?

I also explore why capacity value isn’t automatically financial ROI, and three things every significant AI use case should make clear:

• Where will the freed-up time go? • Who owns the outcome? • What evidence will tell us it actually happened?

The bigger question:

Who owns turning the time AI saves into an outcome we can actually see?

Procurement at AI Speed is a short practitioner-led series exploring Procurement × Commercial Judgement × AI.

Hosted by Zina | KaiZina

Research referenced: BCG, Scaling Agentic AI in Tech Procurement, July 2026.

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If AI can increasingly do the work, where should procurement people create value?

BCG modelling suggests that redesigning procurement around AI could free up as much as 60% of buyer capacity. But capacity on its own is not value. What matters is what procurement does with it.

In the first episode of Procurement at AI Speed, Zina Amir Moafi explores what AI-driven productivity means for procurement, strategic sourcing and commercial decision making.

If AI takes on more research, analysis, contract review, supplier comparison and process execution, the opportunity is not simply to make the same procurement processes faster.

It is to move more human capacity toward the decisions that can actually change commercial outcomes: challenging the problem, interpreting the analysis, understanding negotiating leverage, balancing risk and value, and building stronger supplier and stakeholder relationships.

Topics include AI in procurement, procurement transformation, strategic sourcing, supplier negotiation, commercial judgement and buyer productivity.

Source mentioned: Boston Consulting Group, AI-First Procurement: How Autonomous Agents Drive Competitive Advantage, 7 August 2026.

Hosted by Zina Amir Moafi. By KaiZina.

Explore KaiZina at kaizina.com.au

Connect with Zina on LinkedIn: https://www.linkedin.com/in/zinaamirmoafi