Continuous daily buying loop
AI colleagues monitor performance signals continuously, adjust bids, pace budgets, rotate approved creative and pause underperformers — strictly within the human-configured budget ceilings and rules.
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Product
Clickgeist connects to your advertising accounts and runs the day-to-day buying loop across search, social and display — building campaigns, adjusting bids, pacing budgets, rotating approved creative and reallocating spend. It runs only inside the budget ceilings, rules and approval gates an accountable human defines.
The idea
AI colleagues perform the operating work. Named humans set the rules, approve changes to money and messaging, and hold fiduciary responsibility throughout.
Campaign build, bid management, budget pacing, creative rotation and cross-channel reallocation run continuously against human-agreed targets.
An accountable owner configures budget ceilings, permitted audiences and approved creative, and defines the thresholds above which nothing ships without sign-off.
Enforced thresholds, formal approval gates with segregation of duties, complete audit trails and a single accountable owner — not optimisation alone.
The modules
Each module addresses one part of the paid-acquisition loop. Together they form a governed path from spend strategy to the ad channels.
Connects to a client's ad platform accounts via approved programmatic access. The initial build targets Google Ads, whose API supports third-party programmatic account creation, management and reporting, subject to token approval, Required Minimum Functionality and the platform's right of audit. Additional channels are added only where third-party or agency access is verified.
AI colleagues build and configure campaigns against human-agreed targets, structuring accounts, audiences and settings within the configured rules and ceilings.
Monitors performance signals and adjusts bids and paces budgets within human-set ceilings, pausing underperformers. Adjustments inside the envelope execute automatically; moves beyond configured thresholds escalate to an approval gate.
Rotates existing approved creative and tests variants. New creative is held at an approval gate for human review before it can go live, preserving human control of messaging.
Reallocates spend across connected channels against agreed targets — the cross-platform orchestration layer that platform-native single-channel automation does not provide. Above-ceiling reallocations are gated.
Enforces spend thresholds and formal approval gates with segregation of duties. New spend thresholds, new creative and audience expansions are queued for a named accountable human to review and sign off before taking effect.
Logs every change with its rationale and the account state before and after, so the operating loop stays transparent and reversible under human oversight and suitable for regulated or fiduciary contexts.
Reports performance against agreed measurable metrics and reconciles managed spend, feeding both client oversight and the optional performance-linked fee component.
How a client moves through it
AI colleagues monitor performance signals continuously, adjust bids, pace budgets, rotate approved creative and pause underperformers — strictly within the human-configured budget ceilings and rules.
Any action that would change spend beyond a configured ceiling, introduce new creative or expand audiences is held at an approval gate and routed to the accountable human, who signs off, with segregation of duties, before it goes live.
Spend is reallocated across connected channels against agreed targets. Reallocations within limits proceed automatically; above-ceiling moves are gated for human approval.
Each decision is recorded in the change ledger with its rationale and account state before and after. Spend is reconciled and performance reported against agreed metrics on a regular cycle.
The agentic architecture
AI colleagues operate the recurring workflow within an envelope defined by budget ceilings and explicit rules. Every material decision is executed against those rules and logged.
Building, bidding, pacing, rotating and reallocating proceed automatically while they stay within configured ceilings and rules.
New spend thresholds, new creative and audience expansions are held at approval gates for a human to review and sign off before going live.
Each decision is logged with its rationale and the pre- and post-change account state, so the operating loop can be reviewed and reversed under human oversight.
An accountable human sets budget ceilings and operating rules, and approves every new spend threshold, new creative and audience expansion before it takes effect.
That person retains fiduciary control of budgets and all advertising-compliance obligations at all times. AI colleagues never move money or change messaging beyond the pre-approved envelope without a human decision.
Approval gates keep execution and sign-off distinct, so the party running the loop is not the party authorising changes above the agreed limits.
The venture operates from DIFC, where its governance-first design aligns with the jurisdiction's expectations.
It adheres to each platform's programmatic-access terms. For Google Ads this means token approval, Required Minimum Functionality and the platform's right of audit. Access to client accounts is via approved programmatic connections under the client's authorisation.
Revenue is a monthly operations fee plus an optional performance-linked component tied only to agreed measurable metrics. It is never tied to promised returns.
Why the delivery model exists
The intended path is an MVP live on Google Ads for a small number of pilot growth-stage accounts in the United States, with the governed daily loop, approval gates and a complete change ledger operating.
The primary objective is evidence: to test willingness to adopt and pay for governed-AI campaign operation, and to begin quantifying the manual cycle-time it displaces. Both are currently under-evidenced.
The direction is to add a second advertising channel, contingent on verifying third-party or agency API access. Meta parity is currently unverified and treated as a gating dependency.
Alongside this, the aim is early cross-channel reallocation, more US accounts onboarded using standardised governance templates, and an optional performance-linked fee tied to agreed metrics where accounts support reliable measurement.
The intended shape is multi-channel orchestration across verified platforms with deeper reporting and reconciliation, positioned as a governed cross-platform layer above platform-native automation.
The plan is to deploy it as a shared growth-operations capability across FTLAB's AI-born portfolio and to expand into English-speaking markets, with the governance, audit-trail and accountable-owner model as the core differentiator. These are planning statements, not commitments.
We are candid about what is unproven. Bring your acquisition goals and constraints, and we will work through where a governed, AI-operated loop does and does not apply.