[Overview]
Personalization without a research army. Agents draft context-aware copy from account research you can approve or autopilot. Tone stays matched to your brand while first lines reference real signals. Bring your own AI keys when you want spend on your existing contracts instead of platform meters.
Highlights
- Research-backed first lines
- Tone matched to your brand
- Human review where you want it
Outcomes
- First lines grounded in account context
- Approval gates when quality matters most
- BYO AI spend when you already have contracts
How it works
- 01
Pull research context
Signals, firmographics, and profile fields feed the draft.
- 02
Generate variants
AI writes first lines and bodies in your tone.
- 03
Approve or autopilot
Keep human review on high-value segments, or let trusted prompts run.
[In the product]
AI personalization in context.
See how this capability sits next to lists, sequences, and inbox - the same surfaces your team already opens every day.
Armada · Sequences
Multichannel sequence
Email + LinkedIn · 48 contacts active
- 1Day 0
Intro + proof point
Email
- 2Day 1
Connection note
LinkedIn
- 3Day 3
Case study bump
Email
[Integrations]
Stack for ai personalization
Tools that commonly sit next to this capability - connect what you already use.
OpenAI
Gmail
Outlook
Salesforce
HubSpot
[Use cases]
Teams that lean on this
See the motion for your role or market - then jump back into the product surfaces that power it.
[FAQ]
Questions from ai personalization users.
Try ai personalization.
Try the feature in a workspace, or book a demo and we will wire it into your motion.