Continuous daily buying loop
AI colleagues monitor performance signals continuously, adjust bids, pace budgets, rotate approved creative and pause underperformers — all strictly within the human-configured budget ceilings and rules.
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Governed, AI-operated performance media buying
Continuous media buying across search, social and display — running only inside the budget ceilings, approval gates and audit rules an accountable human sets. AI colleagues do the operating work; named humans govern, approve and hold fiduciary responsibility.
Market
What the service does
Clickgeist connects to a client's advertising accounts and runs the continuous paid-acquisition loop within the rules an accountable human configures.
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 Google's right of audit. Further channels are added only where third-party access is verified.
AI colleagues build and configure campaigns against human-agreed targets, structuring accounts, audiences and settings within the configured rules and ceilings.
Continuously 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.
Systematically 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 layer that single-channel platform automation does not provide. Above-ceiling reallocations are gated for human sign-off.
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 pre- and post-change account state, so the operating loop remains 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 it runs
AI colleagues monitor performance signals continuously, adjust bids, pace budgets, rotate approved creative and pause underperformers — all 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 rationale and account state before and after. Spend is reconciled and performance reported against agreed metrics on a regular cycle.
What makes this different
Human final say is now standard across the category. What remains largely unaddressed as a core product is enforced governance.
Enforced spend ceilings, formal approval gates with segregation of duties, complete audit trails and a single named owner of fiduciary responsibility. AI colleagues never move money or change messaging beyond the pre-approved envelope without a human decision.
Every material change is logged with its rationale and the account state before and after, so the record shows not only what changed but who authorised it — transparent and reversible under human oversight.
Designed for early- and growth-stage teams that need continuous acquisition but cannot yet justify a media-buying hire costing roughly USD 125k–160k fully loaded. Pricing targets roughly 8–12% of managed spend (ASSUMPTION, unproven), below the 15–20% typical of agency retainers.
Willingness to pay for this delivery model is not yet validated; platforms could bundle comparable governance; and third-party API parity on some networks is unverified. FTLAB's DIFC base and portfolio provide captive early deployments to test the model before wider release.
Questions
Tell us about your accounts, your spend ceilings and who holds approval. We will walk you through the governed operating loop and where the human gates sit.