Multi-tenant AI automation platform with per-client guardrail configuration, white-label dashboards, and full agent audit trails. Your clients see your brand. The AI works underneath.
To grow revenue, agencies need more accounts. More accounts need more account managers. Margins stay flat. The only way to break the model is to change the denominator — accounts per person.
The agencies winning right now are deploying AI agents to handle the optimisation cadence — bid management, budget reallocation, performance monitoring, and reporting — while their human team focuses on strategy, creative, and client relationships. The result: the same team managing 2.5–3× more accounts at the same or higher performance level.
Google Ads and Meta accounts connect via OAuth. No credentials shared. No manual exports. Access is scoped to the actions the agent is permitted to take — no more.
Each client gets their own guardrail set — spend caps, CPA thresholds, brand exclusions, approval requirements. Config is documented, versioned, and editable at any time.
Agents run continuously. Your team reviews the trigger/action/impact log, refines guardrails, and takes on more accounts. The system improves with each cycle.
The client-facing dashboard runs under your agency brand. Your clients see your name, your colours, your reporting. The AI infrastructure is ours — the relationship is yours.
Flat platform fee covers the infrastructure. Per-account fee scales with your client base. As you add accounts, the unit economics improve — margin expands automatically.
AI-managed accounts delivering measurably better CPA performance justify premium retainer rates. The platform gives you the data to prove the improvement — and the case to price for it.
A performance marketing agency running 8 active client accounts with a 4-person team. Account managers were spending 70% of their time on optimisation tasks — bid reviews, budget pacing, weekly reports. The remaining 30% was for strategy and client communication.
After deploying per-client guardrail configurations and connecting all 8 accounts, the agents handled the optimisation cadence autonomously. Time allocation flipped: 70% strategy and client work, 30% reviewing agent logs and refining guardrails.
Within 60 days, the team took on 14 new accounts — reaching 22 total — without adding a single hire. Average CPA across the account base improved by 24% over the same period.