Enterprise agentic marketing operating system

Turn your marketing stack into an intelligent system.

Stagwell's agentic operating system for marketing, built on the tools you already use.

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The Stagwell Machines is a family of agentic solutions for enterprise marketing organizations – each built for a specific job; all connected under one operating layer. Unlike point solutions that make individual tasks smarter, the Machines share context: every signal, decision, and result carries forward. Machine OS is that operating layer: it sits on top of the tools teams already use – Slack, Figma, Adobe, analytics platforms and project systems – and connects them into one system with shared memory. Connected by design.

How it works

What Machine OS does

  1. 01

    Works inside your existing workflows

    Sits on top of Slack, Figma, Adobe, analytics platforms and project systems rather than replacing them – no rip and replace.

  2. 02

    One system of record

    Insight, decision and result live in one place – strategy, creative, production, media and performance work from shared context instead of disconnected handoffs.

  3. 03

    AI agents execute repeatable work

    Competitive monitoring, brief generation, asset versioning, brand-compliance review and performance optimization.

  4. 04

    Context persists rather than resets

    Every brief, asset, campaign and result carries forward into shared memory, so the next cycle is faster and better informed – the result compounds.

  5. 05

    Built for enterprise outcomes

    Faster time to market, less duplicated martech spend, less manual coordination, more content at scale and tighter performance feedback loops.

Differentiators

What sets Machine OS apart

01

An open architecture

Built API-first, so it adapts at every layer, and platform-agnostic across models, cloud providers and front-end applications. It connects to your stack rather than asking you to replace it.

02

Works where you work

Beyond Machine OS's own interface, Mini-Machines are custom plugins that let teams use its intelligence — and send information back to it — inside Figma, Slack, Adobe, Microsoft Teams and Workfront.

03

A unified intelligence layer

Custom-trained to ingest, interpret and act on large volumes of private, secure signals — your data, world knowledge, Stagwell's proprietary sources and trusted third parties.

Use cases

What teams use it for

Strategy and planning

  • Audience & persona research

    Replaces weeks of fragmented desk research with continuously refreshed, evidence-grounded segments and personas tied to the actual brand objective.

  • Strategy & campaign architecture

    Turns business goals plus audience truth into a coherent architecture — objective, audience, message hierarchy, channel role, KPI framework — with options and trade-offs in hours instead of weeks.

  • Measurement design & experiment set-up

    Designs measurement up front: the right KPI framework, attribution method and clean experiments, so campaigns are provable rather than merely reportable.

  • Media planning & budget allocation

    Builds and continuously re-optimises channel mix, budget allocation and flighting grounded in measurement rather than platform self-reporting.

Creative and content

  • Creative briefing

    Produces sharp, complete, on-strategy briefs that inherit audience, brand and objective context automatically — closing the vague-brief, wrong-work, redo loop.

  • Ideation, concepting & storyboarding

    Moves from approved brief to a slate of distinct, on-brand, channel-feasible concepts, checked against brand and channel reality before money is spent.

  • Creative & content scaling

    Takes an approved hero asset and produces the full matrix of platform, format, dimension and locale variants — correctly resized, cropped, tagged and compliant.

  • Localisation & transcreation

    Adapts campaigns across markets and languages with cultural and regulatory fidelity, reusing approved layouts and respecting per-market claims.

Governance and delivery

  • Compliance checks

    Shifts compliance to the point of creation: every asset and line of copy checked against brand guardrails, platform ad policy and regulatory rules before it ships, with an auditable trail.

  • Trafficking, handoff & QA

    Automates the brittle manual handoff from approved creative to live media — placements, tags, naming and trafficking sheets correct the first time.

Performance and learning

  • Mid-flight optimisation & DCO

    Watches live performance, diagnoses why something is moving and recommends or executes the next best action, compressing the signal-to-change loop from weeks to near real-time.

  • Campaign reporting & narrative

    Turns fragmented platform and measurement data into a single narrated performance story per stakeholder, with every number grounded in its source.

  • Learning & pattern recognition

    Captures what worked, where and why into a living, queryable learnings library — turning the post-campaign retrospective into compounding institutional memory.

Growth and listening

  • New business & RFP response

    Assembles tailored, on-strategy responses from the organisation's best prior work, credentials and capabilities — stronger pitches for far less senior time.

  • Social listening & community

    Continuously monitors brand, category and competitor conversation, surfaces risk, trend and opportunity, and routes the right action in time to matter.

No rip and replace

What it connects to

  • Adobe, Figma and your reporting suitesConnects to them and makes their outputs smarter by cross-referencing the wider knowledge base.
  • Your content supply chainPart of the factory: it orchestrates across the supply chain rather than replacing it.
  • Your measurement platformsCombines disparate platforms to deliver better strategic measurement and recommendations.
  • Flighting and distributionConnects to the platforms that do it, so approved work reaches live media without a manual rebuild.

Proof

Machine OS, by the numbers

Candidate figures · pending approval
  • 20–40%reduction in martech stack redundancy
  • ~50%savings in strategy and insights workflows
  • ~30%savings in creative production cost
  • 10xcontent volume without proportional headcount growth

Presented by Stagwell as estimates and targets based on early integrations.

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