Everyone is recording. No one is listening.

There are two conversations happening about AI right now, and they sound nothing alike.

One is public. Agents everywhere, autonomous everything, sole employee unicorns. The other happens in the enterprise workspace, and it's much quieter.

We've spent this year talking to those enterprises and almost none of the teams we talk to are asking for more agents. What they describe is closer to the opposite. They're recording everything already - campaign engagement, calls, emails, transactions, documents - but they either don't have agents, or the agents they have don't know what to act on. 

When a customer payment fails in the payment platform, frustration surfaces on a call, or a buying intent sits unnoticed in a marketing tool, it's all recorded somewhere, but it lacks the context of the customer lifecycle to really drive action.

Processes work, but nobody's confident why, and underneath all of it sits the same unspoken worry: ‘we can't trust agents enough to let them act on our behalf’.

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The problem was never the data

What an agent needs isn't more data, it's context. Not a row in a table but a moment that causes an organisation to think, or act, differently.

We call those ‘signals’, and they are the thing enterprises need most. Not because they aren't captured, but because they only exist in the space between systems that were never designed to speak to each other. Every system holds its own record. No system holds the moment.

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Humans used to be the layer

For years, people closed that gap. A salesperson heard the frustration in a call, or the finance team spotted churn risk in a failed payment. The vast majority of signals were missed because people don't have the bandwidth or skills to be across all systems at once.

Today, we're looking for agents to take calls, run campaigns, process payments, and ultimately make decisions people used to make. They have all the data that's being recorded, but almost nobody is asking the obvious question: what are they listening out for?

An agent without context isn't an unhelpful agent, it's a confidently wrong one, acting at scale.

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So we're building the Listening Layer

At Unaric, we've spent the last three years building and acquiring the application layer for Salesforce that carries the campaigns, the conversations and the transactions. Now we're building the intelligence layer that sits on top of it.

Not another app. Not another system of record. The connective tissue that turns what's happening across every system into trusted context, at the moment it matters.

Unaric’s Listening Layer doesn't store your data. It observes changes across your systems and turns them into signals, consumed inside the Salesforce infrastructure you already have.

It has to work wherever your agents live. When Salesforce and Anthropic announced Claudeforce, they gave enterprises a real choice. Build in Agentforce, build in Claude or build in both. That's the multi-platform reality our customers already work in. Context should follow the same logic, so we're building the Listening Layer to keep that choice yours.

We're building it with enterprise customers

This is why we're launching our Listening Layer before it's finished, deliberately. Starting now and working with customers to build it is the right thing to do for our customers.

Step one is building the context you can trust. Step two is building the workflow agents that run on it.

So the question we'd actually like answered is: ‘What are your agents actually listening for?’ If that's a question you’re sitting with, we want to hear from you.