For Agencies

Run more clients without losing the thread

Built for multi-client work from day one: every client's knowledge is logically isolated, so you protect margin and output quality as you scale while keeping the account team organized.

Context retainedCosts controlledProof attached
Agency portfolioLIVE CONTEXT
Client knowledge retained25 / 25 Healthy
Isolation by defaultEnforced by default
Predictable AI spendVisible to operators
Retention that compoundsReady for the next campaign

What changes

Protect margin without diluting client context.

A controlled knowledge layer gives every campaign team the evidence, history, and decision trail it needs.

01

Isolation by default

Every query is tenant-scoped. One client can never see another's knowledge, and cross-tenant access is denied — not merely hidden — which makes the isolation model easy to explain to stakeholders.

02

Predictable AI spend

Per-business cost ceilings and automatic provider fallback keep AI costs in check across every account, so agencies can scale without surprise model spend.

03

Retention that compounds

When a strategist moves on, the client's knowledge stays. New campaigns start with full upstream context instead of a new round of interviews and handoffs.

04

Review without chaos

Operator review stays centralized, so the team can approve changes quickly without losing track of client history, evidence, or approval reasons.

Detail when you need it

Questions, answered

How is client data separated?

Every business lives under its own tenant scope, enforced on every query. Blob storage is isolated per business.

Can I cap AI spend per client?

Yes — each business has a cost ceiling that is checked before every LLM call.

What does this change for the agency team?

It keeps research, review, and execution in one workflow so clients can move faster without losing context.

Scale the client roster without losing the receipts.

Follow one source from raw conversation to a campaign claim your team can defend.