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AI Production Agency for Faster Output and Better Performance

We ship high-volume creative and growth assets through AI-assisted workflows, then optimise what works with disciplined testing.

Unlimited creative production included
Proprietary AI marketing tools
10x faster than typical teams
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Reviewed on
4.9
4.900000
5 Star Agency

Why production becomes a bottleneck

Most teams hit a ceiling because output cannot keep up with learning. Creative takes weeks, reporting is delayed, and performance drops before the next batch is ready. An AI production agency removes that bottleneck by increasing throughput and tightening the loop between production and results. The aim is operational leverage: more tests, faster feedback, and clearer decisions about what to scale and what to stop.
  • More tests per week
  • Faster production cycles
  • Less manual coordination

What an AI production agency does

An AI production agency builds intelligent workflows that turn marketing output into a repeatable, scalable system. Instead of scaling through headcount alone, it uses generative AI, automation, and machine learning to speed up production and improve decision-making. That can cover ads, landing pages, emails, social content, and performance reporting. The goal is not to automate everything blindly. It is to increase throughput while keeping quality high and tying production to measurable outcomes like CAC, conversion rate, and retention.

High-volume asset production

Produce more ad variations, scripts, statics, and landing page components per week. AI speeds up drafting and versioning, while humans ensure accuracy, tone, and message clarity.

Automation for repetitive workflows

Standardise briefs, approvals, naming, and reporting so production moves without bottlenecks. Automation reduces admin work and keeps output consistent across teams and channels.

Performance-led iteration loops

Feed campaign results back into the production plan. Winners get iterated and scaled, losers are cut fast, and learnings shape the next creative batch.

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Where AI production creates leverage

AI production creates leverage when your bottleneck is speed and consistency. Most teams cannot brief, produce, QA, and ship enough creative to keep up with modern paid channels. We use AI-assisted pods to increase output, then apply a testing discipline so volume turns into learning. We also automate monitoring and reporting to cut manual overhead. The result is a faster feedback loop: produce, launch, learn, iterate, and scale.

Creative iteration at pace

Run weekly creative sprints with clear hypotheses across hooks, proof, and CTAs. AI accelerates variant creation, while our team decides what to scale based on outcomes.

Workflow automation and QA

Reduce bottlenecks in briefs, approvals, and asset handoffs. Standard operating procedures and checks keep production fast without sacrificing brand consistency or compliance.

Always-on optimisation signals

Use automated alerts and dashboards to spot fatigue, budget waste, and creative decline early. This keeps performance stable and protects spend while scaling winners.

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What we produce and optimise

We produce the assets that move performance and keep them connected to measurement. That includes paid social creative, paid search landing pages, lifecycle emails, and retargeting sequences. We also support the operational layer: dashboards, reporting automation, and data hygiene so decisions are based on reality. AI accelerates production and pattern detection, but the work is still guided by an evidence-led plan and a clear definition of success.

Paid ads and creative systems

Build a repeatable pipeline of statics, video, and copy variants. We test by angle and audience segment, then scale what improves conversion and payback.

Landing pages and CRO variants

Create landing page messaging and layout variants that improve message match and reduce friction. Better conversion makes every acquisition channel more scalable.

Lifecycle and retention content

Improve activation and retention with segmented onboarding, win-back, and upsell journeys. Retention lifts raise LTV and reduce pressure on acquisition CAC.

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How Growthcurve delivers

Growthcurve gives you a complete growth team supported by a proprietary suite of AI marketing tools. We integrate as your internal staff and run a weekly sprint cadence, so production and optimisation happen continuously. Unlimited ad creative production is included, and we do not charge commission on ad spend. With a real-time dashboard, you can see what shipped, what is performing, and what we are improving next.
  • Complete team in one package
  • Unlimited creative production included
  • No commission on ad spend

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Who this is for

An AI production agency is a fit if you need more creative and growth output without growing headcount, and you want production tied to measurable outcomes. It works best for teams running paid media, CRO, and lifecycle marketing with a steady testing cadence. It is not a fit if you want tool-only outputs with no strategy, or if you cannot support frequent launches and measurement. AI creates leverage when you can act on learnings quickly.
  • Best for performance teams
  • Requires testing and measurement
  • Not tool-only output
What is an AI production agency in marketing terms?
An AI production agency builds systems to produce and iterate marketing assets using generative AI, automation, and measurement. The focus is operational leverage: more output, faster learning, and fewer manual bottlenecks. It typically covers creative production plus the workflow around it, such as briefs, approvals, naming conventions, and reporting. The aim is to connect production to outcomes, not to generate content without a plan.
How is an AI production agency different from a creative agency?
A creative agency usually focuses on concept and execution of creative assets. An AI production agency focuses on the operating system: how assets are produced at scale, tested, and refreshed based on performance. You still get creative direction, but the differentiator is speed and iteration. Instead of a few big launches, you get continuous production tied to a testing backlog and reporting so creative is improved week by week.
What can you produce with AI-assisted workflows?
We can produce performance creative such as ad concepts, scripts, statics, short-form videos, and cutdowns, alongside landing page variants and lifecycle messaging like emails and retargeting assets. AI helps accelerate drafting and versioning, but production is not only outputs. We also set up the process that keeps output consistent: templates, brand rules, approvals, and a feedback loop from performance data.
How do you maintain quality and avoid generic AI output?
Quality comes from inputs and governance. We start with clear positioning, brand guidelines, and approved claims, then use AI to accelerate drafts and variations. Every asset is reviewed by a human for clarity, accuracy, and brand fit. We also use performance data as a quality filter. If an asset drives clicks but hurts conversion or lead quality, it is not scaled. The goal is better outcomes, not more content.
Do you automate campaign changes or keep human oversight?
We use automation for monitoring, alerts, and repeatable actions within guardrails, but keep human oversight for strategic decisions. Platforms already automate a lot, so the edge is better inputs and faster iteration, not letting a bot run unchecked. You should always know what changed, why it changed, and what impact it had. Accountability matters more than automation volume in performance marketing.
How do you measure impact from production, not just activity?
We measure impact by outcomes: conversion rate, CAC, payback, retention, and pipeline or revenue where tracking allows. Production metrics like asset count are secondary and only useful if they increase learning speed. We set up reporting so each creative batch maps to specific hypotheses and KPIs. That makes it clear what to scale, what to cut, and where the next production sprint should focus.
What does onboarding and the first month look like?
The first month is about foundations and speed. We align on goals, ICP, offers, and brand guardrails, then review tracking and reporting so performance can be judged properly. We build a production backlog and start shipping assets in weekly sprints. Early tests generate learnings fast, which then shapes the next batch. The aim is to establish a repeatable loop, not a one-off burst of content.
Is this a fit for B2B as well as B2C brands?
Yes, but the system differs. B2C often needs higher creative volume and faster refresh cycles. B2B usually benefits from stage-aware messaging, stronger proof, and tight alignment between ads and landing pages for demo conversion. In both cases, the requirement is the same: clear measurement and a willingness to test regularly. AI production creates leverage when you can launch, learn, and iterate quickly.
Why choose Growthcurve as your AI production agency?
Growthcurve combines an embedded growth team with proprietary AI tools, unlimited creative production, and a real-time dashboard. You get fast iteration across creative and performance, with an evidence-led process that reduces guesswork. We work month-to-month and do not charge commission on ad spend, keeping incentives aligned. If you want a production system that improves outcomes, we can start with an audit and a sprint plan. Book a call

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  1. 1 ABOUT YOU
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  3. 3 BOOKING
I agree to the Privacy Policy

Which of our services do you need?

Type

Size

Funding

We'll email you shortly
Prefer to call now?
USA
+1 (347) 657 3386
UK
+44 203 870 3186