Use GitHub with an AI Browser for Crm Hygiene

If you use GitHub and you regularly need to clean up CRM data, the bottleneck is usually the same: GitHub holds part of the context, but CRM hygiene also needs signals that live outside it - on the public web, in LinkedIn, in news, in other connected apps. Strawberry is built to combine the GitHub context with the rest of the browser, and run the full workflow as a companion you can re-trigger every week.

This page describes specifically how Strawberry handles CRM hygiene when GitHub is one of the inputs. It names the GitHub surfaces involved, the signals the workflow actually needs, an example prompt you can paste, and what a good output looks like.

The job a RevOps lead, sales manager, or founder running ops is trying to do

The goal of CRM hygiene is to find duplicates, fill missing fields, retire stale records, and ensure pipeline data reflects reality. The success metric is concrete: duplicate rate below 1%, missing-required-field rate below 5%, pipeline-confidence score above 85%. That definition matters because it shapes what GitHub needs to contribute to the workflow.

What signals CRM hygiene actually needs

For each signal below, here is whether GitHub can contribute directly or whether Strawberry has to find it via the browser:

• Duplicate detection across name + email + domain - GitHub does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Missing required fields (owner, stage, close date, next step) - GitHub does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Stale records (no activity in 60+ days) - GitHub does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Stage-time anomalies (deal in Proposal for 90+ days) - GitHub does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Out-of-pattern values (mismatched company on contact vs deal) - GitHub does not contain this directly. Strawberry uses the browser plus public sources to fetch it.

What Strawberry can do inside GitHub

Strawberry can read PR diffs, summarize issues, comment with approval, and search code across repos.

GitHub surfaces Strawberry uses for this workflow: repos, PRs, issues, commits, Actions.

How Strawberry runs CRM hygiene with GitHub

1. Strawberry opens the GitHub repos that contains the relevant context.
2. The companion pulls related context from GitHub (PRs, history, attached files) where it exists.
3. For the parts GitHub does not store, Strawberry uses the browser - web search, LinkedIn, news, the prospect's website.
4. Strawberry synthesises the output in the shape this workflow needs: A change list - what to merge, what to update, what to retire - with proposed actions and human approval gates.
5. A human reviews before any external action (send, update, post). Then the approved output is saved back to GitHub or your system of record.

Example Strawberry prompt

Paste this in a new Strawberry chat with GitHub connected. Adjust the specifics to your actual ICP, role, or topic.

Read this GitHub repos and any linked context.
Then run a full CRM hygiene workflow on it. Use the browser to fill any gaps not in GitHub.
Return the output in the shape we use for CRM hygiene: A change list - what to merge, what to update, what to retire - with proposed actions and human approval gates.
Do not send anything externally. Save the draft to me to review.

What a good CRM hygiene output looks like

Here is what a finished output for CRM hygiene should look like in practice. The specifics will change for your use case, but the shape should look similar:

• Found: 42 likely-duplicate contact pairs (name match + domain match within 7 days)
• Action proposed: keep newer record for 38, keep older for 4 (older has more notes)
• Found: 14 deals stuck in Proposal > 60 days, all assigned to former AE
• Action proposed: reassign to current owner + create follow-up task
• Found: 67 contacts with no Title - all from Apollo bulk pull
• Action proposed: re-enrich with LinkedIn lookup

Why GitHub for this, and where to use a different tool

GitHub is strong for this workflow because Strawberry can read PR diffs, summarize issues, comment with approval, and search code across repos.

Where GitHub falls short Private orgs need a separate OAuth app; rate limits on large repo searches.

Consider also the rest of your stack for the parts GitHub doesn't cover.

Common mistakes when running CRM hygiene

• Auto-merging duplicates without human review (loses history)
• Deleting stale records that were actually customer accounts
• Overwriting owner-edited fields with enrichment data

Connecting GitHub to Strawberry

GitHub OAuth - currently three separate apps for prod/dev/local. Once connected, the companion can read the surfaces above without re-authenticating, and any write action still requires explicit human approval the first time the workflow runs.

Caveats

Do not let any AI agent send emails, update CRM records, or change shared systems without a clear approval step. Strawberry is strongest when the workflow combines browser context with connected-app context and a human review for sensitive actions.