We just wrapped up a great few days at Accelerate, powered by NetVU.

Across dozens of conversations with agencies, MGAs, carriers, and partners, one thing became clear:

AI is top of mind, but most teams aren’t ready to get real value from it yet.

Not because they don’t understand AI. Because their data isn’t set up to support it.

The Pattern We Saw Over and Over

No matter the size of the agency or the systems they were using (AMS360, QQ Catalyst, Sagitta, AgencyZoom, HubSpot, Salesforce), the challenges were surprisingly consistent:

1. Disconnected Systems

Teams are working across AMS, CRM, marketing platforms, and other tools, but the data doesn’t stay aligned.

This leads to:

duplicate entry
inconsistent records
lack of trust in reporting

2. Manual Workarounds Everywhere

We heard countless variations of:

We export data to Excel… We pull reports and clean them up manually… We’re stitching things together ourselves…

These processes work, but they don’t scale.

3. Data Quality Issues (That No One Has Time to Fix)

Missing fields, inconsistent formatting, incomplete records…

Everyone knows it’s a problem.

Almost no one has a system to continuously monitor and fix it.

4. AI Interest… Without a Clear Starting Point

Nearly every conversation included some version of:

We’re exploring AI…”

But the follow-up question was always:

What would this actually look like for us?

Where Things Start to Break Down

The common thread across all of these challenges is simple:

Your AMS holds valuable data, but it’s hard to access, trust, and act on.

So even when teams invest in new tools (CRMs, AI, reporting platforms), they run into the same issues:

data doesn’t match
workflows break
outputs aren’t reliable

What High-Performing Agencies Are Doing Differently

The agencies getting real value from their systems are approaching this in a different order:

1. Connect their systems

Ensure data flows between AMS, CRM, and other tools in real time.

2. Clean and monitor their data

Fix issues at the source and maintain data quality over time.

3. Layer in AI and automation

Only once the foundation is solid does AI become truly useful.

From Data to Action

This is ultimately the shift we’re seeing:

Not:

How do we report on our data?

But:

How do we use our data to take action?

This means:

identifying opportunities (expiring policies, cross-sell, gaps)
triggering workflows
reducing manual effort
making faster decisions

Where We’re Focused

At Synatic, this is exactly what we’re focused on with AgencyFuse:

Connect systems like AMS360, QQ Catalyst, HubSpot, and more
Correct data quality issues and maintain clean data
Assist teams with AI to answer questions and trigger workflows
Match commission statements back to AMS data automatically

Not as separate tools, but as a way to turn AMS data into something teams can actually use.

Final Thought

The biggest takeaway from Accelerate wasn’t about a specific tool or trend.

It was this:

AI isn’t the starting point. It’s the outcome of having the right data foundation.

If you’re thinking about how to better connect, clean, and actually use your AMS data, we’d be happy to share what we’re seeing across the agencies we work with.

Click here to set up a demo and let's discuss what AgencyFuse can do for you.