Pulse Experience Agents
The first platform that doesn’t just find problems. It fixes them in real-time using enterprise-safe interventions.
HOW PULSE EXPERIENCE AGENTS ARE DIFFERENT
Post-Mortem Analysis
HOW PULSE EXPERIENCE AGENTS WORK
From Insights to Action, Automatically
For 10 years, we’ve helped enterprises understand their customers. Now we’re solving the bigger problem: most insights never become action. Pulse Agents detect friction in real-time and deliver pre-approved interventions that drive revenue, retention, and satisfaction, automatically.
Real-Time Friction Detection
AI-powered sensing recognizes hesitation, errors, and stuck moments across your digital experience, before customers give up.
Intelligent Diagnosis
Ask one smart question to understand the blocker. No generic ‘How can we help?’ Just targeted, contextual understanding.
Pre-Approved Interventions
Deliver the perfect response automatically: shipping details, product recommendations, support answers, all within your brand and compliance guidelines.
Continuous Learning
Every intervention is measured with clean attribution. The system learns what works and optimizes automatically.
The step everyone else skips
Between noticing and fixing, there’s a question.
01
Detected
A visitor stalls at shipping options, returns to the cart, then comes back again. That is hesitation, not browsing.
02
Diagnosed
One question, asked quietly: what’s giving you pause? The answer comes back — when would this actually arrive? Analytics would have guessed. We asked.
03
Resolved
The delivery-date answer your team approved in advance, shown right there. No ticket, no sprint, no waiting. The visitor checks out.
Example scenario.
The two questions we get most
Where it lives, and when it speaks.
What’s giving you pause?
What’s giving you pause?
Where it lives
A subtle, docked element on the pages you choose — desktop and mobile. Never a takeover, never in the way of a conversion.
When it speaks
Only when friction is detected — hesitation, errors, backtracking, repeated searching. No friction, no intervention. Most visitors never see it, and everyone benefits from what it learns.
THE INTELLIGENCE LAYER
AI Does Deep Research, You Approve.
Built by AI
Our AI conducts deep industry research across competitors and best practices, analyzes millions of interactions to identify what actually works, and creates a complete intervention library tailored to your vertical. The result: zero setup burden on your team. You get a ready-to-deploy strategy built from proven patterns, not guesswork.
Controlled by Humans
Every intervention requires your approval before going live. Pre-approved content libraries ensure brand safety, scoped triggers let you define exactly when and where agents can act, and full audit trails track every change. You maintain complete control while the AI handles the intelligence. It’s automated execution, not autonomous decision-making.
Continuously Improving
Every intervention generates data about what works. Across thousands of checkout interventions, one pattern repeats: shipping questions convert far better when answered with concrete delivery information than with vague “fast shipping” claims. The agents automatically test timing, wording, and triggers, optimizing performance without manual work.
And we’re direct about limits: no live system lookups out of the box, no improvised answers, no interventions your team hasn’t seen.
Proven lift, in production
Trained on billions of real decisions, not a demo dataset.
Case study
NJ Transit
8,500
riders helped
Fewer calls
to the support line
of decisions on live enterprise sites — every one a call to offer to unstick the user, or stay out of the way
the industry-standard response rate, because we ask the right person, on the right page, at the moment the question actually matters
across pharma, retail, financial services and media — hundreds of programs, all through full enterprise security review
Purpose Built
Six jobs it does on your site.
Conversion
The closer. A visitor stalls at shipping; it answers the delivery question before the cart is abandoned.
Wayfinding
The guide. Three pages deep and still not found; it asks what they came for and takes them there.
Support
The helper. A question that would have become a support ticket gets answered on the page instead.
Product Assist
The advisor. Too many options, no obvious choice; it narrows the field to the one that fits.
Retention
The last word. A customer heads for the cancel button; it surfaces the one thing that changes their mind.
Learning
The listener. When nobody knows why a page underperforms, it asks the people who are on it.
Frequently asked questions
What is a Pulse Experience Agent?
A system that detects friction in real time, asks one question to diagnose the cause, and delivers a response your team pre-approved.
Is this autonomous AI?
No. It’s automated execution with human control: AI does the research and drafting, your team approves everything before it goes live.
How is this different from a chatbot?
A chatbot composes answers at runtime, so no one reviews them first. Agents select from an approved library, so the full range of what a customer can see is known in advance. Complementary to a chatbot, not replaced by one — a chatbot answers the people who ask; Pulse helps the ones who never would.
What happens when no approved response fits?
Nothing is shown. An unmatched moment produces no intervention rather than an improvised one.
What triggers an intervention?
Detected friction, not a schedule or a timer. Hesitation, errors, backtracking, repeated searching. No friction, no intervention — most visitors never see one, and everyone benefits from what it learns.
Who writes the intervention content?
Your team approves every word before it can appear. Pulse drafts from research across your vertical and your competitors, your team edits and approves, and only approved responses can ever be shown. Nothing is composed at runtime.
Who does the setup work?
One script tag, and if you already run Pulse surveys it is installed. We configure the triggers and the response library; your team approves. Changing a response afterwards is a content task in the console, not a release.