Keep CRM customer records synced with your search index

Checks your CRM for customer updates and mirrors them into a search index, then notifies your team of the change.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig(["scheduled crm check"]):::trigtime s0["retrieve customer record"]:::svc s1["check for matching index record"]:::task s2["notify team record synced"]:::svc trig --> s0 s0 --> s1 gx{"× does matching record exist"}:::gate s1 --> gx p00["create new index record"]:::task gx -->|"no match found"| p00 p10["update existing index record"]:::task gx -->|"match found"| p10 jn{"○ record synced"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"search index matches crm record"/]:::out pay{{"consistent customer data across systems"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceOne path onlyPaths rejoinResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
CRM & Sales PipelineReporting & Analytics
Connects
Elasticsearch

The problem it solves

When customer data lives in your CRM but your search or analytics tools rely on a separate system, the two drift out of sync over time. Someone has to remember to manually update the second system every time a customer record changes.

Who it fits

Teams running fast customer search or analytics on top of their CRM data.

How it works

  1. A customer record is retrieved from the CRM
  2. The system checks whether a matching record already exists in the search index
  3. A new record is created, or the existing one is updated
  4. The team is notified that the record was synced
What you get

Customer records that always match your CRM

You get your search index automatically kept in sync with every CRM update, with your team notified when records change.

What you get

An up-to-date customer record in the search index, matched to the CRM.

What you need

A CRM account and an Elasticsearch instance.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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