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Currently available for select engagements

Hire AI Agent Developer for Media Agencies
Senior, direct, no layers

An AI agent developer builds agents that do work, not just answer questions: qualifying inbound enquiries, triaging requests, chasing approvals, and updating your systems, with a human in the loop where stakes are high.

15+
Years Experience
100+
Projects Delivered
6
Countries Served
$25M+
Revenue Enabled
Media Agencies — AI Agent Developer

A senior ai agent developer for media agencies

Media agencies live or die on two things: buying well and proving it. Clients now expect every dollar of spend to be traceable to an outcome, and they expect the report before they ask for it. Meanwhile the buying itself has fragmented across programmatic, social, search, audio, and out-of-home, each with its own platform, its own pacing quirks, and its own definition of a conversion.

The operational cost is what quietly eats margin. Planners re-key insertion orders, account managers rebuild the same report in a different format for each client, and trafficking errors — a wrong creative, a missed flight date, a budget that paced too fast — surface only when the client spots them. Agencies that fix this plumbing keep clients longer than agencies that just buy cheaper.

An AI agent developer builds agents that do work, not just answer questions: qualifying inbound enquiries, triaging requests, chasing approvals, and updating your systems, with a human in the loop where stakes are high. For media agencies, that means the repetitive coordination — intake, follow-up, status chasing — handled reliably around the clock, while your team handles the judgement calls. I am Omer Muneer Qazi, with 15+ years of experience and 100+ projects delivered. Browse the full hire hub for related engagements, or book a free discovery call and we will test the fit before any scope is agreed.

What you get

What this engagement covers for media agencies

  • Support and intake agents — agents that answer, qualify, and route from your own docs and systems, escalating to a human on low confidence or high value.
  • Workflow agents — agents that run multi-step operations: triage, data entry, approvals, and follow-ups across the tools you already use.
  • Grounded in your content — retrieval over your docs, policies, and catalogues, so answers cite your sources instead of inventing them.
  • Tool use and guardrails — function calling with permissions, rate limits, and refusal rules, so an agent can act without acting recklessly.
  • Evaluation before launch — test sets built from real conversations and real cases, scored for accuracy and escalation quality before anything goes live.
  • Observability and handover — conversation logs, cost tracking, and failure review, so the agent improves weekly instead of drifting.
Working in Media Agencies

Built for how media agencies actually work

Tools and systems. Media work has its own established stack, and new builds have to plug into it. Buying and trafficking run through Mediaocean's Prisma for many agencies; audience and reach planning leans on Nielsen data and Comscore; reporting is assembled in AgencyAnalytics, Tableau, or Looker Studio; day-to-day coordination lives in Asana, Monday.com, or Slack; verification comes from DoubleVerify or Integral Ad Science. Any system that cannot read from and write to these tools will be ignored by the people doing the actual buying.

Where the work pays off. The work that moves the needle is operational: one intake for a campaign brief that flows into trafficking without re-typing; pacing alerts that flag overspend before the client does; a single reporting layer that pulls platform numbers into the client's own vocabulary; and a clean archive of plans, creatives, and results so the next brief starts from evidence instead of a blank document. Buying skill stays with the planners; the machinery around it stops leaking time and margin.

How it works

From kickoff to delivery

  1. Pick one job

    One agent, one job, one success metric, chosen from where your team actually spends hours on coordination.

  2. Connect your data and tools

    Wire docs, CRM, and ticketing, set guardrails and escalation rules, and define the human handoff.

  3. Evaluate and harden

    Run the test set, fix the failures, and prove accuracy and cost per conversation before launch.

  4. Launch in slices

    Go live to a portion of traffic, review logs weekly, and expand scope only on evidence.

Why Omer

Why hire Omer

  • Senior-only delivery: one person owns the ai agent developer work, its integrations, and its handover.
  • Built for production, not demos: permissions, monitoring, and documentation from day one.
  • Direct communication: no account-manager layer between you and the person doing the work.
  • Measured on outcomes: agreed metrics reviewed regularly, with scope adjusted on evidence.
  • No lock-in: your code, your data, your accounts, documented for handover.
FAQ

Questions, answered

Can you work with our existing buying and reporting stack?
Yes. Builds are designed around the tools already in place — Mediaocean Prisma for trafficking, AgencyAnalytics, Tableau, or Looker Studio for reporting, Nielsen and Comscore data for planning — so planners keep working the way they work, with less manual transfer between systems.
How do you handle client reporting without adding headcount?
By automating the assembly, not the judgement. Platform data is pulled on a schedule, mapped once to each client's definitions, and rendered into the report format they already receive. Account managers review and annotate instead of rebuilding spreadsheets.
What about pacing and trafficking errors?
Pacing checks run against flight dates and budgets automatically, and trafficking changes go through a single checklist with an audit trail: who changed what, when, and for which insertion order. Errors get caught before they reach a live campaign.
How is an agent different from a chatbot?
A chatbot answers. An agent acts: it uses tools, follows multi-step rules, and completes work, escalating to a human when confidence is low or stakes are high.
Will it hallucinate to our clients or audiences?
It is constrained to retrieved sources and explicit refusal rules, with escalation on anything uncertain. Evaluation before launch measures exactly this, on your real cases.
Currently available for select engagements

Ready to get started?

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