AI in sustainable procurement: what should you automate? | CyberChat 16

CYBERCHAT / EPISODE 16

By Joanna Whitear · Reviewed 4 October 2026

A fictional 1990s chatroom conversation about real sustainability questions. Joanna and Al appear as themselves; the dialogue is scripted and the other characters are invented.

Can AI improve sustainable procurement in a small business?

Start with a buying problem you need to solve. Make requests easy to submit, involve the right people early and build relevant sustainability questions into the process. Trial AI on a defined task, check its results and measure whether it improves both the experience and the quality of decisions.

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[21:01] Al says: evening all. apparently procurement needs AI intake and orchestration. i only wanted to order a headset

[21:02] net_junky says: your headset request is now conducting an orchestra

[21:03] Joanna says: The language makes it sound more complicated than it needs to be. Intake is how a buying request comes in. Orchestration means coordinating the steps and people needed to deal with it.

[21:04] Sunshine_girl says: so asking for something, getting the right checks and knowing where it has got to?

[21:05] Joanna says: Exactly. If people cannot work out how to buy something, or have to chase several colleagues for an answer, that is a practical problem to solve. Start there before deciding which technology you need.

[21:06] Al says: ours starts with an email. unless someone uses the team chat. or just buys it

[21:07] Ace_Ventura says: three routes in. no known route out

[21:08] Joanna says: Choose a clear starting point and explain it. Ask what is needed, why, when and for whom. Capture enough information to direct the request, without making every small purchase an administrative expedition.

[21:09] net_junky says: we could fix that with a form. where is the AI?

[21:10] Joanna says: A form might be enough. AI could help interpret a request written in everyday language, identify missing information or suggest where it should go. Test whether that improves your process compared with simpler options.

[21:11] Sunshine_girl says: where does sustainable procurement come into this?

[21:12] Joanna says: At the point when there is still a choice. Before ordering new equipment, ask whether an existing item meets the need, whether repair is feasible and what performance is actually required. Those questions are harder to act on after purchase.

[21:13] Al says: so for my headset, first check whether there is a suitable spare?

[21:14] Joanna says: Yes, while checking that it works for you. Then use the appropriate buying route. For a larger equipment purchase, you might also consider running costs, expected life, repair options and what happens when it is no longer needed.

[21:15] net_junky says: please do not send every headset to a sustainability committee

[21:16] Joanna says: Keep checks proportionate to the purchase. Routine orders from agreed options can follow a straightforward route. A new supplier, unusual product or significant commitment may need different people involved. Agree those routes and responsibilities in advance.

[21:17] Ace_Ventura says: the committee can return to its natural habitat: the calendar invitation

[21:18] Sunshine_girl says: could AI compare supplier responses for us?

[21:19] Joanna says: That is a possible task to trial. Give it agreed questions and ask it to extract relevant evidence with a reference to the original document. Check the results before using them in an evaluation. Use approved tools and permitted documents, and remove unnecessary personal or commercially sensitive information.

[21:20] Al says: what if one supplier sends a beautiful sustainability policy and another sends actual figures?

[21:21] Joanna says: Evaluate them against the same criteria. A statement of intent and evidence of performance answer different questions. Make missing information visible and ask for clarification where needed. A polished response should not automatically receive a better assessment.

[21:22] net_junky says: our supplier records include four names for the same company. promising start

[21:23] Joanna says: You do not need to fix every record before trying anything. Choose a limited task and prepare the information it relies on. Resolve duplicates, identify the current documents and flag gaps that could affect the result.

[21:24] Sunshine_girl says: what would you choose as the first trial?

[21:25] Joanna says: One repeated frustration. For example, requests arriving without essential information. Test whether a guided process reduces follow-up emails and directs requests correctly. Start with a small group and compare it with your current approach.

[21:26] Al says: how do we judge whether it worked?

[21:27] Joanna says: Measure completion time, how often information is missing and how often requests go to the wrong person. Include the time spent checking and correcting results. Ask the users whether the process is clearer, and check that necessary reviews still happen.

[21:28] net_junky says: faster mistakes would technically improve the turnaround figure

[21:29] Joanna says: Which is why speed alone is insufficient. Agree who can approve a purchase, change a supplier record or release a payment. For the trial, keep those decisions with the authorised people and review errors before expanding what is automated.

[21:30] Sunshine_girl says: do we need another subscription to do this?

[21:31] Joanna says: Check what your existing systems can support first. Ask the provider to demonstrate your actual task, including how information is handled, access is controlled and decisions are recorded. Compare the benefit with setup, training and ongoing support costs.

[21:32] Ace_Ventura says: the demo must survive contact with our actual inbox

[21:33] Al says: and if it saves us a few hours each week?

[21:34] Joanna says: Decide how to use that time. It could support supplier conversations, better specifications or following up improvement actions. Train people for that work and keep reviewing the process after launch. Time saved becomes valuable through what you do with it.

[21:35] net_junky says: one thing tomorrow then. preferably before someone renames the form an intelligent gateway

[21:36] Joanna says: Follow one recent purchase from request to delivery. Identify where information was missing, where it waited and where a sustainability question would have helped. Fix one of those problems, then decide whether AI has a useful role.

End of chat · Start with the buying problem. Test the improvement. Check the result.

What this means for you

• Map one buying request and identify where it waits, lacks information or misses a useful sustainability question.
• Trial one task using an approved tool and permitted documents; retain the original evidence and check the output.
• Compare time, errors and user experience, including the effort of checking results. Keep purchasing approvals and payments with authorised people.

Sources and further reading

1. Tricia Miller, Coupa: AI Intake & Orchestration for Procurement Agility | The US Summit 2026 Chicago

   Adapted from the source presentation transcript. Relevant sections: 03:11–03:41 on requests and coordination; 05:45–07:09 on user experience and priorities; 12:56–15:03 on data and existing systems; 15:50–18:14 on oversight, skills and continuing improvement; 19:29–22:24 on choosing tasks and reinvesting capacity.

Editorial note: the dialogue and small-business sustainability examples are original adaptations. The source is a vendor presentation; its product claims, workforce predictions and savings estimates are not treated as independently verified outcomes. This article does not endorse a platform or imply that automation guarantees sustainable purchases. Watch the source presentation.

About the author

Joanna Whitear is the founder of Kintera Limited and supports suppliers with NHS Evergreen assessments and Carbon Reduction Plans. She has more than 15 years of sustainability and climate experience and is a lead ISO 14001 auditor.

Related reading and support

• Use AI responsibly when preparing Evergreen evidence
• Ask suppliers focused questions

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