Log Calls, Prep Meetings, Follow Up on Deals. Stay Focused on Selling.
Quick answer
An AI sales assistant helps account executives handle the admin that eats into selling time: logging call notes to the CRM, preparing pre-meeting research briefs, sending follow-ups on stale proposals, and keeping deal stages current. Pinksheep lets AEs describe what they need in plain English and builds agents that connect HubSpot, Outreach, LinkedIn Sales Navigator, and Gong with approval on every outbound action.
AI Sales Assistant helps your team handle repetitive work in plain English. Pinksheep connects to HubSpot, Outreach, LinkedIn Sales Navigator, and 1,000+ more, shows you the plan, and helps you stay in control before anything important changes.
Account executives managing deal pipelines, prospect relationships, CRM hygiene, and meeting prep across sales engagement tools.
- Free to start. No technical setup required.
- Connects to HubSpot, Outreach, LinkedIn Sales Navigator, and 1,000+ more
- Your agents ask before they act. You decide.
Example prompts
Describe what you need. Pinksheep builds the plan.
Use these examples to see the kind of agent job each page is built for.
From description to live agent in minutes
No flowcharts. No code. Just describe the process.
Describe what you need
"After every sales call recorded in Gong, pull the transcript, extract key discussion points, obje..."
Review the manifest
See exactly what the agent will read, write, and in what order. Make changes before it runs.
Approve and deploy
Confirm the plan, then deploy it. Your agent gets to work inside your tools, and you stay in control of important actions.
What is AI Sales Assistant?
An AI sales assistant helps account executives handle the admin that eats into selling time: logging call notes to the CRM, preparing pre-meeting research briefs, sending follow-ups on stale proposals, and keeping deal stages current. Pinksheep lets AEs describe what they need in plain English and builds agents that connect HubSpot, Outreach, LinkedIn Sales Navigator, and Gong with approval on every outbound action.
Built-in controls on every agent
- Your agents ask before they act. You decide.
- Every action logged. Every cost visible. Full control.
- Spend caps are on by default.
- Connects to 500+ business apps your team already uses.
Where Account Executive teams usually start
Account Executive teams usually start with the repeatable jobs that eat time every week: keep your crm updated without the data entry, walk into every meeting already informed, and never let a sent proposal gather dust. Account executives managing deal pipelines, prospect relationships, CRM hygiene, and meeting prep across sales engagement tools. Pinksheep turns those recurring requests into one reviewable agent plan so the team can connect the right tools, inspect the sequence of steps, and keep important writes approval-first before anything changes in production.
Common questions
How does the call logging agent handle deals where the AE and the contact have a relationship outside the CRM?
The agent logs based on the transcript content and the contact record linked in the calendar event. It doesn't have knowledge of relationship history outside your CRM. If there's important context the AE wants included in the note, they can add it before approving the draft. The agent's note is a starting point, not a final record.
Can the pre-meeting brief agent pull recent LinkedIn activity from the prospect's profile?
The agent can pull LinkedIn data if you've connected LinkedIn Sales Navigator to your Pinksheep workspace. This includes recent profile updates, company news, and shared connections. Without Sales Navigator, the agent uses whatever data is in your CRM and from Google search results for recent company news.
Manual automation vs approval-first agents for account executive
The difference is not just speed. Approval-first agents give account executive teams a way to automate real work without hiding the logic in fragile rules or scattered handoffs across multiple tools. You still decide what needs review, but the repetitive work no longer depends on manual checking and copy-paste updates.
| Area | Manual workflow | Pinksheep agent |
|---|---|---|
| Workflow setup | Rules and handoffs live across separate tools and docs | One plain-English brief becomes a reviewable build manifest |
| Context handling | People stitch together context from different systems | Agents pull live context from HubSpot, Outreach, LinkedIn Sales Navigator, and 1,000+ more |
| Control | Approvals and change history are hard to audit | Approvals, logs, and spend controls stay visible in one place |
| Iteration speed | Changing the process often means reworking multiple rules | Update the brief, review the plan, and redeploy with the same controls |
Frequently asked questions
How does the call logging agent handle deals where the AE and the contact have a relationship outside the CRM?
The agent logs based on the transcript content and the contact record linked in the calendar event. It doesn't have knowledge of relationship history outside your CRM. If there's important context the AE wants included in the note, they can add it before approving the draft. The agent's note is a starting point, not a final record.
Can the pre-meeting brief agent pull recent LinkedIn activity from the prospect's profile?
The agent can pull LinkedIn data if you've connected LinkedIn Sales Navigator to your Pinksheep workspace. This includes recent profile updates, company news, and shared connections. Without Sales Navigator, the agent uses whatever data is in your CRM and from Google search results for recent company news.
How does the stale proposal follow-up agent personalize the follow-up when the AE has no recent call context?
The agent references the proposal details from the deal record: what was proposed, the quoted amount, the last interaction date, and any notes the AE logged previously. It doesn't fabricate context. If the deal record is sparse, the draft will be simple and direct, which the AE can enrich before approving.
Can the AE configure which deals the follow-up agent should monitor versus ones they're managing manually?
Yes. You can add a custom field to your CRM deals indicating whether they're under agent follow-up or manually managed. The agent only processes deals tagged for agent follow-up, leaving manually managed deals untouched. You can toggle deals in and out of agent management from within your CRM.
What happens if the AE rejects the agent's proposed follow-up email repeatedly? Does the agent keep trying?
If you reject a proposed email, the agent logs the rejection and moves on. It will check the deal again at the next scheduled follow-up point based on your cadence rules, generating a new draft if the conditions still match. You can also configure a maximum number of agent-generated follow-up attempts per deal after which the agent stops and flags the deal for manual handling.
Last updated 20 March 2026
Next step
Open the pages around account executive workflows
The best next step is usually a template, integration, guide, or pricing page that explains how this workflow actually gets deployed.
Account Executive templates
Start from pre-built workflows that map closely to account executive jobs instead of beginning from a blank prompt.
IntegrationAccount Executive integrations
See the connected tool surfaces behind HubSpot, Outreach, LinkedIn Sales Navigator, and 1,000+ more and the adjacent systems these agents usually need.
GuideAccount Executive deployment guide
Read the guide that helps account executive teams move from idea to governed production workflow.
PricingPricing and rollout model
Check credit usage, agent limits, and rollout economics before moving the workflow into production.
Editorial and trust
Account Executive guidance is tied to real product and founder context
This account executive page is published by the pinksheep Editorial Team and reviewed against current product behaviour, policy pages, and founder operating context so the workflow claims stay attributable.
Published by
pinksheep Editorial Team
Product pages, guides, comparisons, and integration explainers are maintained as part of the pinksheep website editorial surface.
See the editorial teamReviewed against
Nick Hugh
Founder review anchors the product claims to real operating experience across CRM, systems, and software delivery work.
Review founder contextOperated by
Marshall Tech Group Pty Ltd
Sydney, Australia. Support: hello@pinksheep.ai. Legal and policy pages are published on the same site for verification.
Last reviewed 20 March 2026
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