Inside the Tool Layer: Browser Extension, Chat, and Scoped Project Workspaces

Most enterprise AI fails at the last mile. The model is capable, the data is available, but the tool sits in a separate tab that no one opens during real work. SNAP's tool layer is designed for the opposite: AI in the surface where the work actually happens, backed by shared memory and governed access.

The four surfaces

• Browser extension — capture any page, product screen, dashboard, or doc into shared memory with one click, and ask questions against it in place.
• Chat — a conversational surface grounded in your organization's memory, with citations back to the source rather than generic web answers.
• App — a full workspace for longer analysis, agent runs, and cross-project synthesis.
• Scoped project workspaces — dedicated environments for a client, matter, product, or initiative, with their own memory boundary and access roles.

Why four surfaces, not one

Different work needs different affordances. A researcher lives in the browser. A sales lead lives in chat before a call. A legal team needs a project workspace that never mixes matters. Forcing all of it into a single chat window is why most enterprise AI adoption stalls after month three.

Governance follows the user, not the surface

The important part isn't the number of tools — it's that policy is enforced once, at the platform level, and applied everywhere. A user who cannot see a project's memory in the app cannot see it in the extension either. Retention rules, redaction, and audit logs are consistent across surfaces.

That is the difference between shadow AI and governed AI: not fewer tools, but one policy fabric underneath them. It's the same principle behind our broader AI consulting engagements — meet teams in their workflow, then govern the workflow, not the tool.

What teams get

Onboarding measured in days. Knowledge captured where it's created instead of re-typed later. And a compounding memory that makes every surface smarter over time.