Littlebird solves a specific, annoying problem: every time you switch tools, you re-explain yourself. You're mid-ticket in your PSA, hop into a client call, come back, and now you have to reconstruct what was said before you can update the ticket. Littlebird watches your screen and sits in on your meetings, so by the time you ask it a question, it already knows what you were doing. It's a memory layer, not an action layer — it doesn't touch your PSA or RMM on its own.

Conduit is WYRE's MCP gateway — the piece that turns Littlebird's memory into a governed, auditable write against your actual PSA or RMM, and that's exactly where it comes in.

What the pairing unlocks

Meeting notes that become ticket updates. A tech is on a call with a client, and Littlebird transcribes it without a bot joining the meeting. After the call, the tech (or a connected AI client) pulls both the Littlebird context and, through Conduit, the actual open ticket in the PSA. It drafts the update grounded in what was actually said, instead of manually translating the transcript by hand. The busywork of watching a meeting and then typing up what happened collapses into one step.

Fewer dropped handoffs. A tech starts investigating an issue, gets pulled onto something urgent, and someone else picks it up an hour later. Littlebird has the ambient context of what the first tech was looking at and doing. Paired with Conduit's live access to the actual ticket and asset records, the second tech isn't starting from a cold ticket note — they're starting from a fuller picture of what was already tried.

Faster QBR drafts. Littlebird already has the quarter's worth of client meetings and documents in its memory. Conduit supplies the hard numbers: ticket volume, resolution times, and asset health pulled live from your PSA and RMM. Neither one alone gets you a usable draft. Together, a tech can generate a first pass of a quarterly review in minutes instead of an afternoon of digging through two systems.

The boundary that matters here

Littlebird's privacy model is deliberately narrow: it only sees what's on the active screen, and it doesn't capture private browser windows. That's a real feature, not a gap to route around. The pairing with Conduit should respect the same instinct.

In practice, the two roles stay separate: Littlebird holds ambient, personal context about what a tech was working on. Conduit holds governed, auditable access to the actual business systems. Littlebird informs what an AI client should do; Conduit is what actually lets it act, with the access boundaries and the logging that a client-facing action needs.

That separation also means you don't have to loosen Littlebird's already-narrow privacy stance to get value out of pairing it with your MSP tooling. It stays a personal productivity layer for your tech. The moment that context needs to turn into a real write against a client's PSA record, that action goes through Conduit, where it's scoped to the tech's role and shows up in the audit log like anything else.

Where to start

This pairing works best as a workflow, not a blanket integration. Pick one recurring task — meeting-to-ticket-note is the easiest starting point — and connect the two pieces of context deliberately, rather than wiring everything together at once. Littlebird remembers what happened. Conduit is how that memory turns into something written back to a system your client actually sees.

The same governed-access approach applies to other AI tools MSPs are pairing with Conduit: Hermes for always-on ops, Grok Bot for scoped autonomous jobs, and Viktor for chat-native work.