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How it works

The operating model behind the wall.

Most AI tools pool everyone's work into one shared brain — so your team won't feed it their best, and the capacity never shows up. We built the opposite: a private agent for each rep, an aggregate mirror for you. The wall is what gets the seats opened; the mirror is what lets you scale it. The rep-to-shared-agent boundary is designed and tested to keep each private store separate — enforced in code, not policy.

Two layers
row-level + app-layer enforcement
Per-client
isolation verified by a CI probe
Consented reveal
the individual approves any detail view

What Lucius — the shared agent — can and can't see.

Your team's private work stays theirs. The capacity it creates still rolls up to you.

Alfred · private to you

Your workspace — scoped to you alone.

Client: Northwind
CAC target $42 — hold the premium tier until Q3, per Dana's call.
Draft follow-up to Acme
In your voice — awaiting your send.
Private note
Budget pacing 18% hot — flag before Friday's review.

Lucius · shared with the team

The company agent — team-level numbers only.

Active accounts
14 · Pipeline this month: 23 deals
Team capacity
81% · 2 strategists open for new work
Client: Northwind
On track. (no targets, no notes, no names)

Lucius can't access this — your private notes have no read path to the shared agent, enforced at the database (row-level security) and application layers.

Managers see team-level aggregates, never your DMs without your explicit approval. · Designed to keep each client's context walled off.

Three steps to a team that actually uses AI.

01

Request access

Tell us about your shop. We onboard agencies in small cohorts, with a setup call.

02

Connect Slack

One click, admin-aware. Each rep gets a private Alfred; the shared agent stays off until you turn it on.

03

Expand what it handles

Alfred starts in shadow mode — watching and drafting. You hand it more as it earns your trust.

Enforced today

  • Each rep's private work lives in a per-rep store, scoped to them at the database (row-level security) and application layers.
  • The shared company agent has no read path to a rep's private store — enforced at two layers, not promised.
  • Managers see team-level aggregates, never your DMs without your explicit approval.
  • Each client's context is isolated, and a continuous test in our CI checks that isolation holds.
  • Alfred starts in shadow mode — it observes and drafts, and only acts when you grant it.
  • Alfred confines its writes to its own owned space; it doesn't edit your other documents.

Read the full trust page →

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