M
CRM

Maximizer AI Integration

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

Connect Maximizer
What is it?

About Maximizer

Maximizer 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 Maximizer

  1. Step 01

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

  2. Step 02

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

  3. Step 03

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

Explore

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How BeforeQuery uses Maximizer

What the agent does with your Maximizer connection

  • 01

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

  • 02

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

  • 03

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

  • 04

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

Use cases

What teams actually do with the Maximizer integration

Real-time deal-status Q&A

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

Meeting-prep briefings

Before every customer meeting, BeforeQuery drafts a prep brief: account history from Maximizer, 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 Maximizer activities on the correct opp — with next-steps and sentiment flags. AE reviews the log, doesn't type it.

Answer questions grounded in Maximizer

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

Maximizer — Frequently Asked Questions

Common questions about connecting BeforeQuery to Maximizer.

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 Maximizer 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 Maximizer 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 Maximizer 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 Maximizer 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 Maximizer for real.

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