Envestnet | Tamarac

Set loss threshold parameters (e.g., $5,000 minimum loss).

Run the 'Tax Loss Harvester' scan across the entire firm.

Review 'Sell' recommendations and approved 'Buy' substitutes to maintain model weighting.

Generate and push trade files to custodians via FIX.

Pull reconciled data from Yodlee and custodial feeds.

Apply custom benchmark comparisons.

Generate PDF report packages with advisor commentary.

Bulk-upload to the secure Client Portal with automated email notifications.

Input client data into Tamarac CRM.

Trigger a workflow that creates the account record in Tamarac Reporting.

Push account opening documents to custodians via digital integration.

Sync the new account feed automatically once funded.

Set drift tolerance (e.g., 5% from target).

System alerts advisor when a household exceeds tolerance.

Advisor opens Trading module and generates 'Rebalance to Target' trades.

System accounts for cash needs and tax impact before execution.

AI engine monitors client portal logins and document downloads.

Engine flags accounts with significantly decreased engagement.

Task is automatically created in CRM for advisor to call the client.

Advisor uses 'Insights' dashboard to prepare for the retention conversation.

Client links external bank/401k accounts via the Tamarac Portal (Yodlee).

External data is cleaned and normalized by Envestnet data services.

Aggregated assets appear in total net worth reporting.

Advisor provides holistic advice based on the full balance sheet.

Define global models and sleeve-level targets.

Assign models to specific client account groups.

Update a single security in the global model.

Tamarac Trading calculates necessary trades for all assigned accounts simultaneously.