Give your
organization its own AI

Every custom agent your team builds is docked to a specific, named set of sources — internal documents, connectors, or knowledge bases your organization has explicitly enabled for it. Nothing is available by default: before any agent can read a file, query a connector, or execute a task, an administrator has to turn that capability on for that role. When an employee asks a question outside an agent's approved scope, the agent says so plainly — "I don't have that source" — instead of quietly blending in data it was never meant to touch. That boundary is enforced at the platform level, not left to the agent's own judgment, so behavior stays predictable as your team adds more agents over time. Every answer an agent gives also carries a record of who asked and which source was opened to answer it, so your governance team can audit usage the same way they'd audit any other internal system, without extra tooling.

Seamless Enterprise connects to the tools your teams already use — Google Drive, internal REST APIs, curated knowledge bases, and your organization's email — through a named set of connectors, with more, like SharePoint and Calendar, on the way. None of that access exists by default: every connector is off until an administrator turns it on, and each one stays scoped to the specific files, folders, or endpoints your organization decides to expose. Every request — from an employee, an agent, or a workflow — passes through a single gate before it can reach a model or a connector; nothing gets through by promise, only by explicit configuration. Every enablement, denial, and approval leaves the gate as a structured event, exported straight into your own SIEM or audit archive, so connecting a new system to your AI layer never means losing visibility into what it's actually allowed to touch.

Code execution inside Seamless Enterprise runs under the same governance model as every other capability on the platform: nothing executes until your organization has explicitly enabled it for a given role, and every run is recorded in the same audit register your security team already uses to review other activity. Your organization also chooses where that execution — and the data it touches — actually lives: in an isolated tenant on our trusted cloud, inside a private cloud environment, or fully on-premises, depending on your compliance requirements. Data stays encrypted both in transit and at rest, and access follows least-privilege by default, so a workflow that runs code to analyze a spreadsheet or process a batch of files only ever touches the inputs it was explicitly given, never your organization's broader data estate. That's what lets teams use code execution for real analysis and file processing without treating it as a special-case security exception.

Image generation runs inside the same secure workspace as the rest of your team's work — the same environment where conversations and shared threads already live — rather than routing prompts out to a separate, unmanaged tool. That means the deployment choice your organization already made for the platform (trusted cloud with tenant isolation, private cloud, or on-premises) governs image generation too, with the same encryption in transit and at rest, and the same least-privilege access rules. Nobody outside your organization's enabled roles can generate or view images through the workspace, and the activity is captured in the platform's audit register alongside every other action, so creative output doesn't become a blind spot in your governance model. Teams get a fast way to turn a prompt into a visual without leaving the workspace, or your security posture, behind.

The mobile app gives your team the same permissioned experience they get on desktop, not a stripped-down copy of it: conversations, ongoing work, knowledge search, and the specific agents your organization has approved for their role, all in one place. Employees can switch between typing and Voice Mode mid-conversation, including listening to spoken versions of an agent's answers, which matters for anyone working on the move rather than at a desk. Because knowledge access on mobile follows the same role-scoped retrieval model as everywhere else in the platform, an employee only ever sees the sources and agents their role already grants them on the web — nothing opens up just because the device changed. That consistency is what makes the mobile app safe to roll out broadly: your organization's enablement decisions travel with the employee, whether they're at their laptop or in the field.