Choosing an automation platform for agencies: a 2026 evaluation guide

The five questions that separate platforms

Before any demo, run every vendor through these five questions. The quality of the answer tells you more than the feature list.

• Who can approve a change? If the answer is "the AI, if configured that way," you have a compliance risk.
• What does the audit log contain? Before/after state, approver identity, and timestamp are the minimum. KMS-signed is better.
• How does the platform handle a partial failure? (e.g. one of three campaign changes fails mid-execution)
• What scopes does the model receive? Read, draft, and approve are meaningfully different. Ask to see the scope manifest.
• Can you export the full action history? If the answer is "we have a CSV export," ask what format, what fields, and whether it is real-time or batched.

The approval model matters more than the AI quality

Every platform in 2026 has a capable underlying model. The differentiator is not whether the AI is smart — it is whether the approval model prevents unsupervised spend. An AI that drafts well and requires human approval is safer than an AI that drafts better but can approve its own changes.

SpendSignoff's model scopes are hard-coded at the server level: mcp.read and mcp.draft for AI clients, mcp.approve for authenticated human sessions only. This is not a configuration option — it is the architecture.

Multi-client management requirements

At 15+ clients, the platform's multi-tenant design becomes the most important technical factor. You need account isolation (one client's data never bleeds into another's), per-client approval queues (a change for Client A should not appear in Client B's queue), and operator-level access controls (a junior analyst should not be able to approve high-value changes).

SpendSignoff uses org_id-scoped row-level security in Postgres for account isolation. Each client is an organization; each organization's data is filtered at the database layer, not the application layer.

Pricing models and total cost

Agency automation platforms typically price on seat count, client account count, or ad spend under management. Seat-count pricing works well for large agencies; account-count pricing advantages boutique agencies; spend-under-management pricing aligns with agency revenue but creates unpredictable costs during spend ramp-ups.

SpendSignoff prices on connected account tiers, flat monthly per tier. For an agency managing 30 client accounts, the per-account cost is predictable regardless of how much each client spends.

Evaluation checklist

• Hard server-side approval enforcement — not a configurable option.
• KMS-signed or cryptographically verifiable audit log.
• Per-organization data isolation at the database layer.
• Per-client approval queues with role-based access.
• Export of full action history in machine-readable format.
• Support for Google Ads and Meta at minimum; LinkedIn and TikTok are a differentiator.
• Transparent pricing with no per-call overages on the core read/draft workflow.