Agency Performance System
For agencies that need to raise output per head without diluting craft or losing client trust.
- End-to-end six-phase workflow
- Concept scoring and generation
- Figma-ready, editable outputs
- Per-client brand contexts, isolated
Flux AI is the intelligence layer for the marketing performance system — the layer that turns raw AI output into brand-safe, approval-ready, market-ready campaign assets. One brief in. Governed performance out.
No pitch deck. We run one of your real briefs end-to-end.
No narration. No slides. Just Flux Context taking a real brief through all six governed phases to a brand-safe, Figma-ready output.
Free to watch · Available in EN & DE
Model access is a commodity. Your competitors have the same generators you do. The bottleneck moved — and most marketing organisations have not moved with it.
Generation made it trivial to produce a hundred variants. It did nothing to make a hundred variants reviewable, compliant, versioned or shippable. Production got faster; delivery did not.
Guidelines that exist as a document have to be enforced by a human, every single time, on every single asset. That is not governance — it is a recurring manual tax paid by your most senior people.
The reasoning behind last quarter's winning campaign lives in a Slack thread and someone's head. Nothing compounds. Campaign twelve costs roughly what campaign one did.
An AI performance marketing system is a connected platform that plans, produces, governs and optimises marketing campaigns using machine learning and automation — instead of treating each of those steps as a separate manual job.
The distinction that matters: a tool generates an output. A system decides what should be produced, validates it against brand and legal rules, routes it through human approval, ships it to the right channel and market, measures what happened, and remembers the decision so the next brief starts further ahead.
Anything missing a layer is a point tool wearing a platform's clothes.
Turns an unstructured brief into machine-readable objectives, constraints, audiences and success criteria — and flags what's missing before work starts.
Produces concepts and assets across every format and market required, ranked rather than dumped.
Enforces brand, tone, legal and market rules as system constraints, with mandatory human gates.
Writes every decision back to the Context Graph so knowledge compounds instead of evaporating.
This is the full path from brief to delivered asset. Nothing advances a phase without a person approving it — which is precisely what makes the speed defensible.
The brief is parsed into structured objectives, audiences, constraints and success metrics. Gaps and contradictions are surfaced immediately — before anyone spends a day building against a flawed premise.
Market, competitor, channel and audience signals are gathered and scored against the brief. Concepts start from evidence, not from whoever spoke first in the kickoff.
Multiple distinct routes are generated and ranked on brand fit, channel fit and predicted performance. You choose from scored options rather than defending a single direction.
Selected routes are sharpened against brand rules, tone and legal constraints. Revisions are captured as structured decisions — not as forty comments on a shared file.
Production-grade assets are generated across every required format, channel, market and language. Output is Figma-ready and fully editable, so it lands inside your existing stack.
Approved assets ship with complete provenance and version history. Everything learned is written back to the Context Graph and available to the next brief on day one.
Most teams are somewhere in the middle column and mistaking it for the right one.
| Capability | Manual workflow | AI point tools | Flux AI system |
|---|---|---|---|
| Asset generation speed | Days per format | Minutes | Minutes |
| Brand rule enforcement | Human memory | Prompt-dependent | System constraint |
| Approval workflow | Email & chat threads | None | Structured gates |
| Multi-market scaling | Linear headcount cost | Manual re-prompting | Native |
| Version & provenance trail | Partial, file-based | None | Complete |
| Knowledge reuse next brief | Tribal / lost | Zero | 60%+ via Context Graph |
| Output format | Editable, production-grade | Flat, hard to edit | Figma-ready, editable |
| Cost curve over time | Flat to rising | Flat | Declining per brief |
| Audit readiness (EU/regulated) | Reconstructable | Not defensible | Built in |
The same orchestration core, configured for how your organisation actually produces work.
For agencies that need to raise output per head without diluting craft or losing client trust.
For in-house teams running multiple markets or sub-brands who need consistency enforced, not requested.
The same orchestration model extended to studios and production houses, where continuity and context are the whole job.
No eighteen-month transformation programme. The first real brief runs through the system in week one.
| Window | What happens | What you should see |
|---|---|---|
| Week 1 | Brand rules, tone and approval logic encoded. One live brief run end-to-end through all six phases. | A shipped, on-brand asset set and a measured cycle time to compare against your baseline. |
| Weeks 2–4 | Channel and format coverage expanded. Review gates tuned to your actual approval chain. | First throughput gains — typically the sharpest drop in feedback-loop count. |
| Days 30–60 | Additional brands, markets or client contexts onboarded. Context Graph begins to accumulate. | Briefs start reusing prior context; per-brief effort drops noticeably. |
| Days 60–90 | System becomes default path for campaign production. Performance signals loop back into concept scoring. | Compounding effect visible: up to 60% shorter brief-to-approval, 50% fewer feedback loops. |
Flux AI is built for teams where brand consistency is non-negotiable and volume is still going up.
You are winning more work than you can staff, and hiring your way out is destroying margin.
Consistency across markets is currently maintained by exhausting people rather than by a system.
AI output has to be auditable and defensible, not just fast.
Context and continuity at production scale — via Flux Context for Film.
An AI performance marketing system is a connected platform that plans, produces, governs and optimises marketing campaigns using machine learning and automation, instead of treating each of those steps as a separate manual job. Unlike a point tool that only generates copy or images, a system owns the full path from brief to delivered asset to measured result — enforcing brand rules, approval gates and performance feedback along the way.
A generator produces an output. A system decides what should be produced, checks it against brand and legal rules, routes it through human approval, ships it to the right channel and market, and remembers the decision for next time.
Generation is roughly 20% of the work in a modern campaign. Orchestration and governance are the other 80% — and that is where most teams still lose time and budget.
No. Flux AI is built with mandatory human review gates at every phase — a campaign cannot progress without a person approving it. What the system removes is coordination overhead: chasing feedback, rebuilding assets per format, re-explaining brand rules for the hundredth time. Strategy, taste and the final call stay with your team.
Brand rules, tone of voice, visual constraints and approval logic are stored as persistent, machine-readable constraints rather than as a PDF nobody opens. Every generation pass is evaluated against them before it reaches a human, so reviewers spend their time on judgement instead of catching the same violations repeatedly.
Most teams see throughput improvements within the first two to four weeks, because the bottleneck being removed — review cycles and asset rebuilds — is immediate. Compounding gains follow at 60 to 90 days as the Context Graph accumulates reusable brand, audience and performance context.
Flux AI clients report up to 60% shorter brief-to-approval timelines and 50% fewer feedback loops.
Pricing depends on the number of brands, markets and channels in scope, and whether you run the agency or brand configuration. Rather than quote a list price, we start every engagement by running one real brief end-to-end — so you can measure the cost of the system against the cost of the hours it replaces, using your own work.
The system produces campaign assets across paid social, paid search, display, video, retail media, CRM and owned channels, in multiple markets and languages. Output is Figma-ready and editable, so it lands in your existing production stack rather than trying to replace it.
Flux AI is built for European brand governance requirements: human approval is mandatory rather than optional, every asset carries provenance and version history, and brand, legal and market constraints are enforced as system rules. That audit trail is what makes AI output defensible in regulated and enterprise environments.
The Context Graph is the memory layer of the system. Every brief, decision, approval and result is stored as reusable structured context, so the second campaign starts further ahead than the first. We see 60%+ context reuse across verticals — which is why the system gets cheaper to run over time instead of more expensive.
Book a demo and bring a real brief — ideally one that is currently painful. We run it end-to-end through all six phases so you can see the actual output, the actual gates and the actual cycle time against your own baseline. No slideware.
Bring your most painful brief. We put it through all six phases — intake, research, concept, refinement, generation, delivery — and you keep the output either way.