Zealve
Zealve AdPilot · Product 03

Your ad budget, on a leash

AdPilot is the control layer for ad-platform AI across Meta, Google and TikTok: typed approvals before money moves, policy pre-checks before campaigns go live, per-node cost on every agent action, and a weekly digest that tells you what was done and why — in plain language.

Typed approvals on every spend changePer-node cost accountingPolicy pre-check & appeal draftsWeekly cross-platform digest
AdPilot on the record: Typed approvals before <b>any</b> money moves · Per-node cost on every agent action · Policy pre-check before campaigns go live · Weekly digest across Meta · Google · TikTok · <b>Design-partner program</b> open — founding terms
01 — Why it exists

Automation got default-on. Control got retrofitted.

Through 2025–26 every major ad platform — Meta, Google, Amazon, TikTok, Adobe, Salesforce, HubSpot — shipped AI automation as the default way to buy media. Then came the backlash: budgets that moved overnight, creative swapped without sign-off, bid strategies nobody could interrogate. The platforms responded with controls bolted on after the fact — and only for enterprise contracts.

The practitioner community has been explicit about the gap. Across practitioner forums, official communities and workflow libraries, the single loudest demand is control and explainability over platform AI — reporting is already the most-automated marketing workflow, support vacuums around suspensions and rejections are the most unserved need, and 37% of advertisers fear audience distrust of AI-made ads.

Meanwhile the startup wave — the creative-generation tools — prints revenue but churns: when everyone can generate 100 ad variants, the differentiator isn't generation, it's governance. No SMB-priced vendor owns the approval-and-audit layer. That's the hole AdPilot fills.

  • #1 community demand: control & explainability over platform AI
  • Agentic ad products are enterprise-only today
  • Support vacuums — suspensions, rejections, appeals — loudest unserved need
  • 37% of advertisers fear audience distrust of AI ads
  • Money moved to ops+analytics — governance is the wedge

Sources: zealve-research/adpilot corpus (2026-09) — market leaders, startups & analysts, community demand scan.

What it is

An approval queue with teeth.

When an agent wants to change something that moves money or policy, it can't just do it. AdPilot renders the proposal in plain language — what changes, why, expected cost, policy-check result — and waits for a typed decision: approve, edit, reject. Every decision is logged with its reasoning and its per-node cost. Weekly, you get a digest: what ran, what it cost, what moved ROAS, and what the plan for next week is — with the reasoning attached.

  • Typed approvals — approve / edit / reject, with reasons
  • Policy pre-check before launch + appeal drafter
  • Creative scorecard — fatigue, frequency, quality
  • Cross-platform digest with data-gap marking
  • Human-review tier for sensitive accounts
Become a design partner →
03 — How we build it

Designed from evidence, judged before shipped.

AdPilot's design was matched against a market-evidence corpus before a line of production code was written: each of the ten core surfaces (approval queue, run log, digest, creative ops, policy lane) maps to a documented demand cluster, and each design iteration was reviewed against the evidence — including a "say-no" list of features the data told us to skip (voice-AI-as-a-company, generic dashboards, another reporting wrapper).

The stack is agent-native: typed approval objects as the core primitive, per-node cost accounting on the agent plan graph, platform APIs behind an adapter seam, and policy pre-checks that run against the platforms' published ad policies before spend is committed. The interface follows the same dark, restrained design language as the rest of Zealve — because a governance tool should feel like a ledger, not a slot machine.

  • Typed approval objects as the core primitive
  • Per-node cost on the agent plan graph
  • Platform adapter seam — Meta / Google / TikTok
  • Policy pre-check + appeal drafter, evidence-based
  • Design judged against the research corpus, not vibes
Who it's for

Built for the teams the enterprise tools skip.

In-house growth teams

1–10 people, serious monthly budgets

You already trust the platforms with targeting — what you won't hand over is the checkbook. AdPilot keeps every budget decision human-approved and audited without slowing the loop down to agency speed.

Agencies & freelancers

Accountability as a deliverable.

Every client-facing action carries its reasoning and cost. The weekly digest is client-ready — it reads like a report, because it is one.

E-commerce & restaurants

Margin defenders.

For Zealve RMS and Chatroom customers, AdPilot closes the loop: acquisition cost per channel, netted against the commission you stopped paying.

Compliance-sensitive teams

Regulated verticals.

Healthcare, finance, education — where a policy rejection costs more than a wasted budget. Pre-checks and appeal drafts are built for you first.

Design partners

Shape the roadmap now.

The design-partner program is open: direct access to the build team, roadmap votes, founding-member pricing when we launch.

Free tool

How much of your budget is quietly leaking?

Free tool · wasted-spend finder
AED 60,000 per month, all platforms
15% of spend (industry audits commonly find 15–30%)
WASTE RUNNING PER YEAR
AED 108,000
Ad spend per yearAED 720,000
Estimated waste (15%)−AED 108,000
Budget back in year oneAED 108,000

Model: AdPilot does not promise to eliminate all of it — it shows you where the waste is, with typed approvals before anything touches spend. Catch even half and the year clears.

Who it serves

One control layer, three desks.

The solo advertiser wants the digest, the growth team wants guardrails, the agency wants an audit trail it can hand a client. Same system, same evidence, three desks.

The minimalist view — approve and move on

A weekly digest and one tap to say yes.

You should not have to live inside six ad platforms to run six ad platforms. AdPilot reads your accounts, drafts the moves — pause fatigued creatives, shift budget, refresh audiences — and brings them to you as typed, one-tap approvals with the reason attached.

Beyond e-commerce: local services, clinics and education businesses running their own lead-gen get agency-grade discipline without the agency retainer.

  • Recommended actions with the why spelled out, not just the what
  • Typed approvals: SAFE / SPEND / POLICY — you know the blast radius first
  • Monday 9:00 digest — last week, next week, what needs you
  • Everything waits for you; nothing touches spend silently
FAQ

Straight answers.

Does AdPilot replace the platforms' own AI?

No — it governs it. The platforms' optimization engines keep doing what they're good at; AdPilot decides which of their proposals get executed, at what cost, and records why.

Will it slow my campaign loop down?

Approvals are typed and mobile-fast — most decisions take seconds. Auto-clear rules let low-risk actions (creative rotation within budget, scorecard-approved swaps) run without you; you set the guardrails once.

Do you take a cut of ad spend?

Never. A flat platform fee by tier — because a governance tool that earns more when you spend more isn't a governance tool.

What's the current status?

Design-partner stage: the surface designs are complete and evidence-judged; the platform adapter work is in build. Design partners get the first deployed instances and roadmap votes.

AdPilot · design partners

Help steer it. Keep the founding rate.

We're taking a small cohort of in-house teams, agencies and e-commerce operators as design partners. You get direct access to the build team and founding-member pricing at launch.

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