AI for marketing agencies: what to automate first in 2026

Reporting is repetitive, data-heavy and due on a fixed date every month, so it is the safest first build. The AI gathers the numbers and drafts the summary, and the account lead writes the recommendation.

A worked example uses three assumptions. An agency has 20 clients, each monthly report takes 2.5 hours of copying numbers, building charts and writing commentary, and that time costs the agency £35 an hour. That is 20 × 2.5 = 50 hours a month, or 50 × £35 × 12 = £21,000 a year. If automation cuts each report to 30 minutes of checking and commentary, the agency gets back 40 hours a month.

Off-the-shelf reporting tools are the first option to price. AgencyAnalytics lists $20 per client per month on annual billing, so 20 clients cost 20 × $20 × 12 = $4,800 a year. A custom build makes sense when reports need data a tool doesn't connect, such as a client's CRM or Shopify margins, or when the agency wants commentary drafted in its own format. Either way, someone checks every number the AI writes about against the source data before the report goes out.

These three are back-office work that every agency repeats for every client, and each follows a template.

• Proposals. AI drafts the proposal from the discovery call notes, the agency's past winning proposals and its rate card. The account lead sets the price and checks every promise, because the proposal becomes the contract.
• Time tracking. AI fills a draft timesheet from calendar events, task updates and file activity, then asks each person to confirm. Harvest, a common tracker, costs $9 a seat a month billed annually or $11 monthly. A worked example shows why unlogged time matters. If 10 people each forget 1 billable hour a week at a £60 billing rate, that is 10 × 1 × 48 × £60 = £28,800 a year left unbilled, on those assumptions.
• Onboarding. One form triggers the welcome email, the access requests for ad and analytics accounts, the project in the project tool and the kick-off booking, and it chases the client until each access request is granted.

Keep strategy, client relationships and sign-off with people. AI drafts, gathers and chases.

• Strategy and recommendations in reports, because the client pays for judgement.
• Approval of every ad, post and email before a client or the public sees it.
• Claims and evidence, because CAP holds the marketer responsible for substantiation.
• Prices, scope and contract terms in proposals.
• Any use of a real person's likeness or voice, which needs consent and legal advice.

Yarigai is a done-for-you AI agency in London. It builds AI agents, internal tools that replace spreadsheets, CRMs and inbox triage inside a client's own accounts, which for an agency means its ad accounts, analytics, project tool and inbox. The agency owns the code, the data and the accounts from day one.

Yarigai also builds and runs its own marketing software. Mockingbird remakes winning Meta ads in a brand's style, and Outtest runs split tests with AI agents and is listed on the Stripe App Marketplace. These are Yarigai's own products, not client work. Its founder, Deniz Sancar, also runs Sancar Media, which has worked with more than 60 brands, including ElevenLabs, Whop, Skillshare and Fiverr.

A project starts with a free 30-minute scope call on Google Meet, and the agency keeps the notes whether it hires Yarigai or not. A blueprint of about a week, credited to the build, sets out a written plan, a clickable prototype, the monthly running cost, a fixed price and the payback maths. The build takes 2 to 6 weeks with a demo of working software every week, and a single workflow, such as client reporting, can go live in about two weeks. A person approves anything that sends money, emails a customer or deletes data. Yarigai's guarantee is one sentence: "If the build isn't profitable for you, we won't build it." Yarigai has no published case study with a marketing agency. Its marketing work is described on the AI marketing systems page.