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CRM

Addepar AI Integration

Connect Addepar to BeforeQuery for grounded AI answers and agent actions across CRM.

Connect Addepar
What is it?

About Addepar

Addepar is one of the CRM platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect Addepar

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → CRM and select Addepar.

  2. Step 02

    Sign in to Addepar with an account that has permissions to grant BeforeQuery the CRM scopes required.

  3. Step 03

    Confirm the connection. Addepar is now available as a source and action target for every playbook in your workspace.

Explore

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How BeforeQuery uses Addepar

What the agent does with your Addepar connection

  • 01

    Read accounts, contacts, opportunities, and activity history from Addepar into the Context Graph.

  • 02

    Answer sales questions grounded in Addepar data ("what's the status on Acme?", "who's the DM at Beta?").

  • 03

    Draft outreach, follow-ups, and internal updates using Addepar activity as context.

  • 04

    Update Addepar records from playbooks — log calls, advance stages, create tasks — with approver check-in where needed.

Use cases

What teams actually do with the Addepar integration

Real-time deal-status Q&A

Sales leader asks "how's the Acme deal?" in Slack → BeforeQuery pulls the Addepar opp, recent activity, next steps, and stage momentum. Answer in seconds; no Addepar tab open.

Meeting-prep briefings

Before every customer meeting, BeforeQuery drafts a prep brief: account history from Addepar, recent activity, open opps, product usage, and open support tickets. Delivered to the AE 30 min before the call.

Auto-log activity from calls + emails

Zoom transcripts + email threads get summarized and logged as Addepar activities on the correct opp — with next-steps and sentiment flags. AE reviews the log, doesn't type it.

Answer questions grounded in Addepar

Employees and customers ask Addepar-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact Addepar record shown alongside the response. No context switching, no "log into CRM to check" round-trips.

Addepar — Frequently Asked Questions

Common questions about connecting BeforeQuery to Addepar.

Yes, gated by your approval matrix. Small stage moves (Discovery → Qualified) can be autopilot on evidence; large moves (Proposal → Closed Won) always require the AE's confirmation with a reason logged.
Standard OAuth 2.0 where Addepar supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your Addepar data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every Addepar integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific Addepar objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch Addepar for real.

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