The missing piece in your workflow: Introducing mAdme’s On-Device Decisioning Agent

In a world where AI dominates the conversation, it’s worth remembering that for most enterprises the core needs and use cases remain the same. While these use cases are increasingly delivered through process orchestration and workflow automation, customer engagement remains one of the biggest determinants of whether they succeed.

The key steps in these workflows are those that require the customer to engage, and the majority of those engagements are now happening on the mobile device. This is where server-side systems hit a blind spot: they cannot see what is actually happening on the device at any given moment. As a result, most communications arrive when the user is either not using their phone or the conditions on the phone are not conducive to engagement. The opportunity is lost. The workflow fails or, at best, is delayed.

With the introduction of mAdme’s AI On-Device Decisioning Agent, enterprises now have an agent on every customer’s mobile phone helping them to identify the ideal moment to engage with each customer based on exactly what is happening on that customer’s phone throughout the day, coupled with their previous engagement history.

The Agent does not replace the investment that enterprises are making in server-side automation; it turbocharges it. It extends it to the device, to the user, where the outcomes and successes of workflows are ultimately determined.

The result: 5x higher engagement, proven at scale.

Why now

In this modern battle for attention, it has never been harder for enterprises to reach their customers. People receive more notifications than ever, operating systems give them more ways to silence them, and a handful of apps now command most of their time on the phone.

At the same time, enterprises have automated almost every step of their customer journeys except the one that matters most: the moment they ask the customer to act. To get the full return on their investments, they must treat that moment with the importance it deserves, moving away from communication methods that too often miss the mark and taking the customer’s real-time and historical context into account when deciding when to engage.

What the Agent does

The mAdme on-device Agent represents an evolution from the trigger-based engagement mAdme is known for to a new patent-pending method for predicting the most opportune moment to engage with each customer to maximise the likelihood of attention and interaction. On-device decisioning has been proven at scale to deliver 5x higher engagement than server-timed messages for our enterprise clients by ensuring that a message is only presented at a time that makes sense for each individual user. The result is precise, respectful and relevant engagement that does not bombard the user or drive notification and messaging fatigue. Instead it arrives at the moment that is most relevant and valuable.

The Agent does this through a proprietary propensity model, making real-time decisions on the phone about when to hold or present communications to a customer. The propensity model takes into account data such as device state, current and historic user behaviour and recent notification load.

In other words, the decision about when to engage moves from the server to the edge, to the device itself, where the context lives. The answer is not sending more messages; it is surfacing the message at the most opportune moment for each user.

And the enterprise stays in control throughout. Thresholds, caps, and rules are set through a portal and applied across devices, with no release cycle or software update needed. Marketing teams define the permitted actions, thresholds, and safeguards for each device signal. Within those boundaries, the Agent captures the relevant context, determines when the conditions for acting are met, and decides the most appropriate action to take. No LLMs, no rogue agents: every decision is governed and made within the limits you set.

All of this is built with privacy by design. The relevant personal context and decisioning remain on the device, protecting customer privacy.

The Agent is new. The foundation is not.

Anyone can put the word "agent" on a product. What separates our AI agent is what sits underneath it: years of capturing on-device signals at scale, across hundreds of millions of devices. The mAdme On-Device Decisioning Agent is the next step in how to act on that intelligence, built on a foundation that has already proven it can operate reliably at scale.

Drawing on years of research and development, the mAdme Agent layers new proprietary AI models on top of the rich datasets and signals we’ve always been listening for, so it can predict the best moment to engage more accurately and consistently than ever.

mAdme has been partnering with some of the world’s largest enterprises for a decade with proven success. Our clients have trusted us to integrate deeply into their marketing and workflow automation stacks to help them get the most from their investments in these areas, ensuring they don’t fall at the final step.

The opportunity for enterprises

Engagement rates for traditional server-initiated communications are falling, and the bar for attention keeps rising. Without the user’s context, even the best-funded engagement strategy risks missing the moment to capture attention and convert the opportunity.

For the first time, there is an Agent on the device to solve this. We would love to show you what that looks like. Talk to us about how on-device decisioning can work across your customer base and how you can gain a competitive advantage. We will walk you through the signals, the use cases that matter most to your business, and how quickly a first deployment can start turning everyday moments with your customers into results.