01
Signal Dominance
50% have scaled first-party data usage.
IntentHQ · New Research 2026
Only
6%
of enterprise marketers are truly agentic.
AI in marketing is no longer a question of adoption. It's a question of architecture.
The race toward agentic marketing has already begun. Our latest research shows that only 6% have rebuilt the data, decisioning, and organisational architecture required to compete.
Only 18% of enterprise marketers report measurable commercial outcomes from AI.
The 6% is one of five findings. Here is the rest.
6%
Truly agentic.
18%
Measurable commercial outcomes from AI.
13%
Have encoded commercial priorities into decision systems.
5%
Prioritise governance as a top investment.
59%
Expect agentic marketing to be mainstream within five years.
The architecture
Five dimensions. One connected system.
Agentic marketing is not a single capability. It is an architecture. Most organisations have components. Few have the system that connects them.
02
Behavioural Intelligence
Only 12% have continuous decision intelligence.
03
Decision Infrastructure
34% cite this as top investment priority.
04
Agentic Personalisation
33% cite decisioning complexity as primary barrier.
05
Adaptive Governance
Only 6% have architected governance into decision systems.
The diagnostic
What do you think you are? What you actually are.
Only one in three organisations who self-identify as agentic actually qualify on the composite. Over half who do qualify do not describe themselves that way. The gap between perception and structural readiness is where the real story lives.
35%
Assisted
AI used for recommendations a human reviews.
- You are Assisted if:
- AI generates suggestions your team approves before action.
- Personalisation runs on rules and segments, not models.
- You measure AI by team productivity, not commercial outcomes.
40%
Operationalised
AI embedded in repeatable workflows.
- You are Operationalised if:
- AI runs production workflows your team monitors but does not gate.
- Models are retrained on a schedule, not in response to signal change.
- Decisions are repeatable, but the commercial logic lives outside the system.
19%
Engineered
Commercial intent encoded into decisions.
- You are Engineered if:
- Commercial priorities are encoded as constraints inside the decision system.
- Trade-offs between margin, retention, and growth are explicit.
- Outcomes are measured in revenue, not engagement.
6%
Agentic
Goal-directed systems within governed boundaries.
- You are Agentic if:
- Systems pursue goals across channels without per-decision human review.
- Governance is architected into the decision path, not appended after.
- The architecture connects signal, decision, action, and audit as one loop.
The governance gate. No organisation qualifies as Agentic without it, regardless of performance on every other dimension.
Launched at AntiCon 2026
The architecture, built.
Intent launched IntentOne at AntiCon 2026 — the platform built for what the research describes.
Jonathan takes the main stage 21 May. Full talk lands here approximately 28 May.
Introducing IntentOne
The upstream layer that the 6% have built.
The missing layer between knowing what your data says and acting on it commercially, at scale.
Intent is the company. IntentOne is the platform we built on the architecture this research describes.
Signals your current stack can't see.
A net-new behavioural signal layer, processed on-device to generate intelligence closer to the user.
Decisions the moment they matter.
Decision-ready opportunities ranked by commercial value × confidence with Best Moment Intelligence.
Privacy by design, not by policy.
On-device processing, consent enforced at runtime, full auditability.
Further reading
Articles on agentic marketing and behavioural intelligence.
essay
The Agentic Layer: When Intelligence Becomes Action
Marketing Agents close the gap between intelligence and activation. Not by making humans faster, but by removing them from the latency-sensitive decision loop entirely.
3 min read
essay
The Age of Intent: What Happens When Brands Can Finally Tell the Difference Between Interest and Readiness
Marketing has always tried to infer readiness without being able to see it directly. This piece explores what changes when real-time behavioural signals make the difference between interest and readiness newly visible.
9 min read
research
Behavioural Exhaust: What 250 Billion Events Tell You About Human Intent
The honest signal problem in customer intelligence is not a shortage of data. The problem is that most data is invisible to the systems nominally responsible for understanding customers.
4 min read
Download the full blueprint.
The architecture that the 6% have built. And how to build yours.