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    <title>Omni Groups: Connected Voice and Text AI Agents | NLPearl</title>
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    <div id="root"><article><h1>Introducing Omni Groups: Turn Your AI Agents Into One Connected Team</h1><time datetime="2026-07-14">2026-07-14</time> <p>Updated <time datetime="2026-10-02">October 2, 2026</time></p><p>No customer thinks in channels. They call when a question feels urgent, text when it can wait, and expect the business on the other end to remember them either way.</p><p>Most AI agents are not built for that reality. The voice agent cannot see yesterday's text thread. The inbound agent has no idea an outbound campaign reached the same customer last week. Each one keeps what it learns to itself, so every switch, between channels or between agents, quietly resets the relationship to zero. The customer ends up paying for the architecture, one repeated explanation at a time.</p><p>Today, we are introducing <strong>Omni Groups</strong>: a new way to connect multiple Pearls so they share contacts, memory, interaction history, and data across the entire group.</p><p>Each Pearl stays specialized in its role. Together, they operate as one connected team, with one shared understanding of the customer.</p><iframe class="w-full rounded-lg my-6 border-0 block" loading="lazy" allow="autoplay; fullscreen; clipboard-read; clipboard-write" allowfullscreen="true" src="/embeds/omni-groups-feature-launch-1.html" width="100%" height="300" title="Embedded content"></iframe><h2>Specialization Without Fragmentation</h2><p>There is a good reason businesses deploy several AI agents instead of one. An agent tuned to qualify inbound calls should not behave like one running outbound campaigns. An agent confirming appointments by SMS needs different instructions, different tools, and a different definition of success than one handling customer support.</p><p>Specialization is what makes AI agents effective. Until now, it also came with a hidden cost: fragmentation. Each agent's knowledge lived and died inside its own channel, which forced businesses into an uncomfortable choice between focused agents that forget and a single generalist that does everything adequately and nothing well.</p><p>Omni Groups remove that tradeoff. Inside a group, every Pearl keeps its own instructions, personality, tools and integrations, workflows, actions, channel, and business objective. What they share is the one thing that should never have been siloed in the first place: knowledge of the customer.</p><h2>Voice and Text, One Continuous Conversation</h2><p>The clearest way to see this is a <a target="_blank" rel="noopener noreferrer" class="text-primary underline cursor-pointer" href="https://nlpearl.ai/phone-pearl"><u>Pearl Voice</u></a> and a <a target="_blank" rel="noopener noreferrer" class="text-primary underline cursor-pointer" href="https://nlpearl.ai/pearl-text"><u>Pearl Text</u></a> working together.</p><p>A customer calls to ask about a service. The Pearl Voice answers their questions, qualifies them, and collects the details needed to prepare an offer. After the call, a Pearl Text sends a follow-up message with the next steps.</p><p>The customer replies by SMS with one more question. The Pearl Text does not ask who they are or what this is about. It already knows what was discussed on the call, what was promised, and what should happen next, so it simply answers.</p><p>A few days later, the customer calls again. The Pearl Voice picks up knowing the appointment was confirmed by text and the extra question was resolved. The conversation continues instead of restarting.</p><p>Context flows in both directions. What an AI voice agent learns on a call is available in the next text thread, and what an AI text agent collects over SMS is available on the next call. To the customer, it feels like talking to one business rather than several disconnected AI agents.</p><p>This matters because each channel is genuinely better at different things. Voice is where complex, urgent, and high-value conversations happen. Text, whether SMS, WhatsApp, email, or chat, carries confirmations, reminders, documents, and the slower rhythm of follow-up. Businesses deploying AI voice agents and AI text agents together can finally use each channel for what it does best without breaking the thread between them.</p><h2>Inbound Meets Outbound</h2><p>The same principle applies within a single channel.</p><p>An outbound Pearl runs a campaign and reaches a customer who asks for time to think. A week later, that customer dials your inbound line. Without shared context, the inbound Pearl starts from zero and the customer explains, once again, why they are calling. Inside an Omni Group, it picks up already knowing about the campaign, what was discussed, and everything collected along the way.</p><p>Inbound and outbound are usually run as separate operations, with separate agents and separate data. For the customer, they were always one relationship. Omni Groups make your AI agents treat them that way.</p><h2>What Pearls Share</h2><p>Pearls inside the same Omni Group can share:</p><ul><li><p>Contacts</p></li><li><p>Interaction history</p></li><li><p>Shared memory</p></li><li><p>Collected information, gathered through variables</p></li></ul><p>Every interaction, on any channel, contributes to one evolving picture of the customer. Any Pearl in the group can then act on that picture: an AI phone agent can reference what happened over SMS, and a text agent can build on what was said during a call.</p><h2>Shared Context, Deliberately Scoped</h2><p>Shared context is only an asset when it reaches the right agents. Not every Pearl should see every customer or every interaction, and Omni Groups are designed around that principle.</p><p>You decide how Pearls are organized. Create separate groups for sales and support, for different brands, regions, or locations, or for specific customer journeys. You also decide what is shared: contact records and interaction history, structured information collected through variables, and, when cross-Pearl continuity is genuinely useful, a shared per-contact memory. Each Omni Group maintains its own settings, so information moves freely inside the group and nowhere else.</p><p>The result is connected experiences where you want them, and clean operational separation where you need it.</p><h2>The Future Is a Team, Not a Monolith</h2><p>Much of the industry describes the future of customer experience as one universal AI agent managing every channel and every use case. We think the future looks less like a monolith and more like a well-run organization: specialists who are excellent at their roles, coordinated around shared knowledge.</p><p>A Pearl Voice handles the call. A Pearl Text carries the follow-up. Another Pearl takes over when the customer reaches the next stage of the journey. Different agents, different channels, one memory.</p><p>That is what omnichannel should have meant all along, and it is what Omni Groups make possible.</p><h2>Build a Connected Team of Pearls</h2><p>Group your Pearls together, share contacts, memory, interaction history, and data, and give your customers a conversation that continues naturally across every touchpoint.</p><p>Ready to set it up? The<a target="_blank" rel="noopener noreferrer nofollow" class="text-primary underline cursor-pointer" href="https://developers.nlpearl.ai/pages/pearl_groups"> <u>Omni Groups documentation</u></a> walks through creating your first group, assigning your Pearls, and configuring exactly what they share, so you can plug it into your existing architecture in minutes.</p><p><strong>Multiple Pearls. Multiple channels. One shared customer context.<br><br></strong><em>David Sztern, Founder &amp; CEO</em></p></article></div>
    
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