Future Food Movement Clinic

Making AI Work

Why better information is the foundation for AI that takes action

Everyone is experimenting with AI. Very few organisations are ready to use it to transform how work gets done.

The real opportunity is not simply using AI to answer questions faster. It is deploying proactive AI agents that can identify an issue, bring together the relevant information, evaluate possible solutions and take action once a human approves the next step.

But none of that is possible if AI cannot see what is happening across the business.

Problems that should be caught early get missed.

Whether you work in commercial, finance, procurement, technical, operations, sustainability or IT, the challenge is often the same. The information that would surface problems is scattered across systems, spreadsheets and teams:

A customer changes a specification, but nobody identifies every affected product until it is too late.

A supplier changes, but the impact on margin and customer commitments only becomes clear after the decision.

A regulation shifts, but nobody knows which ingredients are exposed until someone starts looking.

Two versions of the same document are circulating, and nobody is sure which one teams are working from.

An agent can flag problems like these, work through the options and act with your approval.

But only if it has reliable access to what is happening across the business.

Without that foundation, AI remains a chat window you type questions into. With it, AI becomes something that works alongside your team.

Why this matters to Dan

One problem kept appearing across the food supply chain.

Dan Mazig began his career building products across different industries, working with Fortune 500 companies including Uber, Google and OpenText. Since entering the food industry in 2016, he has built solutions for manufacturers, buying groups, wholesalers and retailers.

Across all of them, he kept finding the same root cause: operational problems traced back to fragmented data. Food and beverage businesses hold huge amounts of valuable information, but it is often spread across systems, emails, messages and documents, creating blind spots and misalignment.

“For decades this problem was too messy to solve, so the industry learned to live with it. That’s no longer an option.”

Dan Mazig
Founder, Cerve

Read Dan’s story

Where this is already happening

Parfetts Bringing together supplier information to support clearer commercial insight and better-informed decisions. Read the story ↗ Woods Foodservice Connecting information across systems, inboxes, spreadsheets and documents to improve commercial and operational processes. Read the story ↗

Hosted by Future Food Movement in partnership with Cerve, this practical Clinic explores what AI readiness really looks like for food businesses, and why those that get their information in order now will be best placed to use AI to spot problems and help solve them.

The session will be built around real business challenges submitted by members in advance, exploring how greater visibility of business data can support proactive analysis, solution evaluation and action.

01 Future Food Movement
Kate Cawley

Kate Cawley

Founder, Future Food Movement

02 Cerve
Dan Mazig

Dan Mazig

Founder, Cerve

Our members are the leaders shaping the future of food, across retail, manufacturing, farming, finance, hospitality, technology and policy. We give them the cross-sector intelligence, strategic insight and leadership capability to move from awareness to confident action. Join us.

Future Food Movement business members
We put 100 of our leaders and key managers through the FFM Masterclass programmes, and they were absolutely transformative. We came for the training. We stayed for the support, the insights and the network.

Nick Brown
ESG Director, Premier Foods

What you'll take away

A clear understanding of how proactive AI agents differ from familiar AI tools.

Why connected, trusted information is essential for agents to work effectively.

Practical examples of agents identifying problems, evaluating solutions and preparing action.

The capabilities food businesses need to deploy agents safely and successfully.

The opportunity to have your own business challenge explored live.

This is not a session about buying another AI tool. It is about understanding how AI agents could change the way work gets done in your business, and what needs to be in place for them to do it well.

Submit a business challenge in advance and join us to explore how better information enables earlier visibility, proactive problem-solving and action.

Submit a business challenge

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Request an invitation

Tell us a little about you and your organisation. We’ll come back to you with attendance options.