Customer Support

Customer Journey Mapping Automation

Get a real-time, end-to-end view of every support interaction with your AI agent. No more piecing together tickets or conversations—see exactly where customers struggle and act before issues escalate.

You’re stuck exporting Intercom tickets into Excel, hunting through email threads, and updating shared Google Sheets just to understand what happened with a single account. As a Head of Support, you waste hours each week trying to find where customers repeat themselves or get lost. Without a unified journey, you miss critical breakdowns and struggle to prove your team’s impact.

An AI agent that automatically compiles, tags, and reports every support interaction from Intercom, giving support leaders a complete view of each customer's journey.

What this replaces

Export Intercom tickets into Excel for manual review
Tag and categorize conversations in Google Sheets after the fact
Link contacts to companies by updating Salesforce records
Compile journey data for account manager reports
Prepare QA audits by searching through email and ticket logs

The hidden cost

What this is really costing you

In SaaS customer support, leaders and managers spend hours every week pulling Intercom conversations, downloading ticket logs, and manually tagging events in spreadsheets. Critical moments—like missed escalations or repeated complaints—slip through the cracks. Without a unified journey map, it’s nearly impossible to show leadership where support is succeeding or failing. The manual process leads to incomplete data, missed trends, and endless frustration.

Time wasted

10 hrs/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$23,000/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

If you ignore this, customers keep repeating issues, account managers lack visibility, and leadership questions support’s value. You risk higher churn, lost renewals, and a reputation for unreliable service.

Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.

Return on investment

The math speaks for itself

Today — without agent

10 hrs/week

of manual work

$23,000/year/ year

With your AI agent

2 hrs/week

agent-handled

$4,600/year/ year

You save

$18,400/year

every year, reinvested into growing your business

Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.

Jobs your agent handles

What this agent does for you

Complete jobs, handled end-to-end — so your team focuses on what matters.

You’re Struggling to Prove Support ROI

You need to show leadership how support interactions drive customer value, but your data is scattered across tickets and conversations. This agent brings it all together in one report.

Customers Complain About Repeating Issues

You keep hearing that customers have to repeat themselves or get bounced between agents. The agent tags and links every touchpoint, so you finally see where the journey breaks down.

Account Managers Lack Journey Visibility

Your AMs don’t know what’s happening with their accounts in support. The agent automatically links contacts to companies and logs notes, so AMs see the full history instantly.

Support QA Is Manual and Incomplete

Your QA team spends hours pulling conversation logs and tickets to audit journeys. The agent tags, categorizes, and exports everything needed for QA in minutes.

You Need to Track the Impact of New Processes

You’ve rolled out a new escalation process or support workflow and want to measure its effect. The agent tags relevant events and provides before/after journey reports automatically.

How to hire your agent

1

Connect Intercom

Securely connect your Intercom workspace so the agent can access conversations, tickets, events, and company/contact data.

2

Tell the Agent What to Track

Specify which journey touchpoints, events, tags, and milestones you want the agent to map and report on.

3

Agent Goes to Work

The agent automatically pulls, tags, and links all relevant data, logs notes for context, and builds actionable journey reports—ready for you to review or export.

You doing it vs. your agent doing it

Manually searching for every conversation and ticket for each customer, copying data into spreadsheets.
Agent automatically pulls and links all conversations, tickets, and events for each contact and company.
3-5 hrs/week
Manually tagging and categorizing interactions after the fact—often missing key events.
Agent tags conversations and tickets in real time based on your criteria, with no missed milestones.
2 hrs/week
Manually associating contacts with companies and updating records to keep reporting accurate.
Agent links contacts to companies automatically and logs notes for context.
1-2 hrs/week
Exporting and compiling journey data for analysis takes hours and is error-prone.
Agent exports journey data and builds reports with a single click.
2-4 hrs/month
QA team spends hours finding and reviewing support journeys for audits.
Agent categorizes and summarizes journeys, making QA review instant and complete.
30 min/journey

Agent skill set

What this agent knows how to do

Maps Every Support Touchpoint

Pulls conversations and tickets from Intercom, applies tags, and builds a chronological journey for each customer.

Generates Actionable Journey Reports

Compiles all support interactions into visual reports, highlighting escalation points and recurring issues.

Links Contacts to Accounts

Connects each Intercom contact to the right Salesforce company, ensuring accurate reporting at both individual and account levels.

Tags Key Events in Real Time

Monitors new tickets and conversations, tagging milestones like escalations, handoffs, and repeated complaints as they happen.

Logs Contextual Notes

Attaches notes to contacts and accounts, capturing important context for account managers and leadership.

Exports Journey Data for Analysis

Prepares CSV exports of mapped journeys, making it easy to share data with BI teams or leadership.

Intercom Agent FAQ

The agent connects directly to your Intercom workspace via secure OAuth. It can also link contacts to Salesforce accounts if you enable that integration. No manual data transfer is required.

Your agent only pulls conversations, tickets, and event data necessary for journey reports. All processing happens in your environment—no information is stored outside your connected platforms.

Yes, you can specify which milestones, tags, or events matter most for your support process. The agent focuses its mapping and reporting based on your selections.

Once you connect Intercom and select your tracking criteria, the agent begins mapping journeys immediately. Most support teams see their first complete reports within 24 hours.

Absolutely. The agent can segment journeys by support group, product line, or region, giving each team a tailored view. Multi-team support is included by default.

All data is encrypted in transit using TLS 1.3. The agent follows your Intercom and Salesforce permissions, and sensitive actions require admin approval.

Currently, the agent works with English-language Intercom data and supports Salesforce for account linking. Support for Zendesk and multi-language data is planned.

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