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Product

Paid media, operated by AI within the limits you set.

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

Operation and authority, kept separate.

AI colleagues perform the operating work. Named humans set the rules, approve changes to money and messaging, and hold fiduciary responsibility throughout.

AI colleagues do the operating work

Campaign build, bid management, budget pacing, creative rotation and cross-channel reallocation run continuously against human-agreed targets.

A named human sets the envelope

An accountable owner configures budget ceilings, permitted audiences and approved creative, and defines the thresholds above which nothing ships without sign-off.

Governance is the product

Enforced thresholds, formal approval gates with segregation of duties, complete audit trails and a single accountable owner — not optimisation alone.

The modules

The parts of the operating loop.

Each module addresses one part of the paid-acquisition loop. Together they form a governed path from spend strategy to the ad channels.

Advertising account connector

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.

Campaign build and configuration

AI colleagues build and configure campaigns against human-agreed targets, structuring accounts, audiences and settings within the configured rules and ceilings.

Bid and budget pacing engine

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.

Creative rotation

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.

Cross-channel reallocation

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.

Governance and approval gates

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.

Change ledger and audit trail

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.

Reporting and reconciliation

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

The loop, day to day.

Step 01

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.

Step 02

Approval for money and messaging changes

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.

Step 03

Cross-channel budget reallocation

Spend is reallocated across connected channels against agreed targets. Reallocations within limits proceed automatically; above-ceiling moves are gated for human approval.

Step 04

Audit and reconciliation cycle

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

A governed envelope, end to end.

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.

Autonomous inside the envelope

Building, bidding, pacing, rotating and reallocating proceed automatically while they stay within configured ceilings and rules.

Gated beyond it

New spend thresholds, new creative and audience expansions are held at approval gates for a human to review and sign off before going live.

Transparent and reversible

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.

What is automated, and what is not.

Who is accountable

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.

Segregation of duties

Approval gates keep execution and sign-off distinct, so the party running the loop is not the party authorising changes above the agreed limits.

Platform access and compliance

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 and returns

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

Built to be economic on smaller accounts.

USD 125k–160kFully loaded annual cost of a dedicated media-buying hireThe cost early- and growth-stage teams cannot yet justify.
15–20%Typical agency retainer share of managed spend
8–12%Clickgeist target share of managed spendASSUMPTION — not yet validated.

Direction, not promises.

First six months

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.

By twelve months

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.

By eighteen months

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.

Discuss whether this delivery model fits your accounts.

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.