Ground the Agents
Audit SOPs, platform playbooks, and your KPI definitions indexed, so every agent works from how we actually run media.
Grapes Worldwide runs paid media intelligence through the Media Studio: five in-house agents, from media audit to AI insights, on our own model stack, chained into workflows with named humans signing every spend decision.
Get a Free Media ConsultationFrom Mankind Pharma and Panasonic to Paytm, JCB, and Siyaram's, category leaders work with Grapes because their media is audited, tracked, and read by in-house agents on a private stack, with named humans at every spend gate.
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The Studio is our agentic layer for paid media: five in-house agents, each built for one job and grounded in our own audit SOPs, platform playbooks, and QA checklists rather than in whatever the internet thinks. The agents live in our stack, hand off to each other the way our planners, analysts, and buyers already work, and end every workflow at a named human desk. You buy media outcomes; the Studio is how they get measured, defended, and improved every day.
The agent that opens every account and tells you the truth about it: wasted spend, broken structure, tracking gaps, and benchmark gaps, priced and ranked by recoverable budget.
The agent that keeps the numbers honest: pixels, conversion APIs, server-side tags, and UTM rules checked daily, so every decision downstream is made on data you can trust.
The agent that reads every ad in the account: hook rates, placements, audiences, and frequency broken down creative by creative, with competitor libraries scanned for context.
The agent that replaces the Monday spreadsheet: every platform unified into one taxonomy, pacing tracked against plan, and board-ready reports written in plain language.
The agent that turns the data into the next move: anomalies caught the hour they appear, budget shifts recommended with evidence, and forecasts your finance team can plan against.
Five stages, one goal: media that gets more accountable every month. The same studio rhythm runs across our five offices, from single-market launches to multi-country media programmes.
Audit SOPs, platform playbooks, and your KPI definitions indexed, so every agent works from how we actually run media.
Tracking verified first, because every audit, read, and report is only as good as the data under it.
Agents hand off audit to analysis to reporting to insight, the way our teams already relay work.
Named humans approve every budget move, bid change, and report before it reaches you.
Corrections feed tuning, winners feed playbooks, and the studio gets sharper every month.
The Studio does not route client data through a public LLM. Open models hosted in our own stack keep account data, spend, and conversion records inside our perimeter, and retrieval is grounded in our media SOPs, past audits, and QA checklists rather than in generic advice. Each in-house agent does one job well and passes its output to the next, the same way an auditor briefs an analyst, an analyst briefs a planner, and a media lead reviews before anything reaches the client. That is where the compounding happens. And every workflow, on every agent, ends at a named human desk.
Agents feed every studio agent from governed audit SOPs, platform playbooks, and your KPI definitions, sources attached.
Human checkpoint
Agents route data and work between the five media agents, tracking state and handoffs across the chain.
Human checkpoint
Agents run every recommendation and report against our checklists and your guardrails before human review.
Human checkpoint
Agents feed corrections and proven calls into the next tuning round for each specialist agent.
Human checkpoint
Agents watch spend, pacing, and conversion signals across every platform around the clock.
Human checkpoint
Agents classify anomalies, policy risks, and confidence gaps before anything reaches you.
Human checkpoint
What changes for you
AI multiplies our output. It never replaces our judgment.
The questions CXOs ask us before signing, answered straight.
The agentic layer behind our paid media practice: five in-house agents, from Media Audit to Media AI Insights, running on our own model stack, grounded in our media knowledge, and chained into workflows that end at named human reviewers. You get media that is audited, tracked, read, and reported continuously, with a person accountable for every decision.
Specialist AI systems we built, host, and run ourselves, each scoped to one job: media audit, media tracking, ad analysis, reporting, and AI insights. Each works from our SOPs and your KPI definitions, and each hands its output to the next agent or to a named human, never straight to a platform.
No. Agents audit, analyse, and recommend; they do not move money. Every budget shift, bid change, or campaign edit is approved by a named media lead on your account, with the evidence and expected impact attached. The agents make sure the decision is made on time and on data.
Google Ads, Meta, YouTube, DV360, Amazon Ads, LinkedIn, and the major programmatic and retail media platforms, plus GA4 and your CRM for outcomes. Where a platform is new to your mix, we connect it through the same governed pipeline before any agent reads from it.
Through designed handoffs: the Audit agent's findings set the Tracking agent's fix list, clean data feeds the Ad Analyser, its reads shape Reporting, and AI Insights turns all of it into the next recommendation. Every handoff is validated, and every chain ends with a human approval.
Inside our stack. Model serving, retrieval indexes, and workflow state run in our own environment with no external LLM in the request path, and access to your accounts is read-only by default and scoped per client. Your spend and conversion data never trains a public model.
Because the proof is in delivery: 189% install growth, 5 times online sales for Siyaram's, and a 7 times conversion uplift came through this machinery across five offices. Five agents, one private stack, and a named human behind every rupee, pound, and dollar we recommend.