These tools won’t replace your team — but they can eliminate bottlenecks and free your team up to focus on the work that moves the needle.
Use AI-powered tools inside your CRM and automation platform
Browser-based AI tools are great for writing content and brainstorming ideas — but they stop at the edges of your systems.
To unlock the next level of efficiency and personalization, you need AI built into the actual infrastructure your team uses every day: your CRM and automation platform.
Tools like Ontraport’s AI Assistant live directly inside your marketing workflows. That means they can access your contact data, reference past activity and automatically take action — all within your automations.
Here’s what that looks like in practice:
Segment your audience with AI
Ontraport’s AI Assistant can analyze first names (even in other languages!) to determine likely gender or other characteristics — and update your CRM records accordingly. You can use this data to tailor your content and improve targeting without requiring perfect form fills.
Moderate comments and surface testimonials
If your business gets blog or video comments, AI Assistant can scan them as they come in — automatically flagging complaints, removing harmful content and highlighting positive feedback that could be turned into testimonials.
Write and publish long-form content in your voice
Need a sales letter or blog article written in your unique tone? AI Assistant can conduct an “interview” with you, learn your voice, and use that to write and publish fully personalized content — no copy/paste required.
Create marketing promotions based on existing content
Turn your long-form content — like podcasts, blog posts or videos — into full promotional campaigns. With Ontraport’s AI Assistant and Dynamic CMS, you can generate titles, descriptions and social copy from a single transcript, then use automations to publish the content on your site right on schedule.
Automate responses based on customer behavior
With AI inside your automation system, you can analyze what a contact has done — visited a page, opened an email, clicked a link — and trigger tailored responses based on those patterns. It’s a scalable way to deliver personalized experiences without manual work.
Draft personalized emails based on CRM data
AI can pull in lead source, recent actions or product interest to generate relevant messages — like a welcome note for new trial users or a follow-up based on webinar attendance.
Respond with context from past conversations
AI can reference your CRM history — including previous replies, questions and notes — to draft replies that pick up right where the last conversation left off. No need to dig through old messages or start from scratch.
Route incoming messages using AI-powered tags
AI can scan the content of emails or form responses and assign tags like “support,” “billing” or “sales” — so your automations know where to send them without complex if/then branches.
When your AI tools live where your customer data does, every message, action and insight becomes faster, more relevant and easier to scale.
Make AI part of your team's strategy — not just your tech stack
The most successful AI adoption doesn’t happen in isolation — it happens when your whole team is on board.
If your team is testing AI tools without a clear direction, it’s time for a strategy session. Here’s a simple agenda you can use to turn scattered experimentation into a shared plan:
- Review what’s already working. Are your content writers using ChatGPT? Is someone already experimenting with AI for ads or segmentation? Start by documenting what’s been tried — and what’s worth continuing.
- Identify high-impact opportunities. What’s slowing your team down? Where does manual work create bottlenecks? Use this to pinpoint areas where AI could have the biggest payoff.
- Assign owners. Instead of expecting one person to “figure out AI,” assign team leads to explore use cases in their areas — content, automation, CRM, design, etc.
- Set one short-term goal. Choose a task to automate, a segment to personalize, or a new workflow to test — and commit to making progress this quarter.
- Keep the conversation going. AI strategy isn’t a one-and-done. Build in regular check-ins to share wins, troubleshoot blockers and keep momentum going.
