AI Employee · Product

Meet Your AI Head of Product
That Never Clocks Out

Talk to it like a real CPO. Connect your product analytics, feedback tools, and project management stack — and it will synthesise user feedback, monitor feature adoption, prioritise the roadmap, and generate PRDs, completely autonomously, 24/7.

Hire Your AI Head of Product Book Enterprise Demo
RhinoAgents AI Head of Product
Active
You
What should be our top 3 priorities for Q4? Synthesise user feedback from the last 90 days, check which features have low adoption, and cross-reference with our top 20 customer requests.
Pulling feedback from Intercom, ProductBoard, and G2. Analysing feature adoption data from Mixpanel and cross-referencing Salesforce for customer request frequency…
Analysing Feedback Checking Adoption Prioritising Features
Q4 prioritisation complete. Top 3: 1) Advanced Reporting (requested by 14 enterprise accounts, 0% current adoption) — highest revenue risk. 2) Slack Integration (92 support tickets in 90 days) — biggest churn signal. 3) Bulk CSV Export (quick win, 3 sprint effort, eliminates 40+ support tickets monthly). PRD drafts ready for all 3. Want to review?
View PRD Drafts Update Roadmap Notify Stakeholders
Not a Tool. A Real Team Member.

Your AI Head of Product Operates Like a Real CPO

Analytics tools show dashboards. Your AI Head of Product thinks strategically — synthesising signals from thousands of feedback data points, monitoring adoption, and recommending what to build next with clear justification.

Brief It Like a Real CPO
Say 'what should be our Q4 priorities?' — it synthesises feedback, checks adoption, cross-references revenue impact, and gives you a justified, ranked recommendation.
Synthesises Thousands of Feedback Signals
Aggregates feedback from Intercom, G2, ProductBoard, Zendesk, and Slack. Clusters themes, quantifies demand frequency, and routes signals to the right roadmap items.
Generates PRDs from Conversations
Draft a PRD for any feature by describing it in plain English. The agent generates structured PRDs with user stories, acceptance criteria, and success metrics.
Monitors Feature Adoption & Health
Tracks adoption rates for every shipped feature. Flags low-adoption features with recommended interventions — in-app nudges, email drips, or support outreach.
AI Head of Product vs. Manual Product Operations
Without AI
With AI Head of Product
Feedback scattered across Intercom, G2, Slack — never synthesised
All feedback synthesised daily into ranked themes
PRDs take days of PM time to write
PRDs generated in minutes from a conversation
Adoption data reviewed quarterly at best
Adoption monitored daily, flags fire automatically
Roadmap prioritisation based on loudest voice
Roadmap prioritised by data: frequency × revenue × adoption
Setup

From Briefing to Running in 60 Minutes.

No engineers. No consultants. Brief your AI employee through a conversation and it's executing before your next standup.

1
Define Your Product Context
Tell it your product vision, ICP, core use cases, and prioritisation framework (RICE, ICE, etc.). Plain English, no config forms.
Conversational Setup
2
Connect Your Product Stack
1-click OAuth to Jira, Mixpanel, Intercom, ProductBoard, Salesforce, and 400+ tools.
1-Click Integrations
3
Set Roadmap Rules & Approvals
Configure prioritisation criteria, PRD approval workflows, and stakeholder notification rules. HITL for all roadmap commits.
Rules & Scheduling
4
Go Live — It Manages Your Product Intelligence
Your AI Head of Product starts synthesising feedback, monitoring adoption, and surfacing prioritisation insights — automatically.
Autonomous Operations
Full Capability Set

Everything a AI Head of Product Does. Automated.

Your AI employee covers the entire workflow — from day one, running 24/7 without ramp time, PTO, or management overhead.

User Feedback Synthesis
Aggregates feedback from Intercom, G2, Zendesk, ProductBoard, and Slack. Clusters into themes, quantifies demand frequency, and maps to roadmap items with business impact estimates.
IntercomProductBoardG2Zendesk
Feature Adoption Monitoring
Tracks adoption metrics for every shipped feature via Mixpanel or Amplitude. Flags features below target adoption thresholds and suggests intervention playbooks.
MixpanelAmplitudeHeapGoogle Analytics
PRD & User Story Generation
Drafts fully structured PRDs from a plain-English feature description: user stories, acceptance criteria, success metrics, edge cases, and dependency mapping. In minutes, not days.
NotionConfluenceJiraLinear
Roadmap Prioritisation Intelligence
Ranks feature requests using your prioritisation framework (RICE, ICE, or custom) — weighted by customer frequency, ARR at risk, adoption data, and engineering complexity estimates.
JiraLinearProductBoardSalesforce
Stakeholder Updates & Release Notes
Drafts and sends release notes to customers, stakeholder roadmap updates to leadership, and engineering sprint summaries to the team — on your configured schedule.
NotionSlackHubSpotIntercom
Bug Triage & Severity Classification
Monitors incoming bug reports from Jira and support tools. Classifies severity, assigns to relevant squads, and drafts user-facing status communications for P1 incidents.
JiraLinearZendeskSlack
Human-in-the-Loop

Full Speed. Full Control.

Your AI employee moves fast — but for high-stakes actions, you always stay in the loop. One Slack notification, one click, and it executes.

1
AI Synthesises Signals & Drafts Recommendation
The agent aggregates feedback, adoption data, and revenue signals — then generates a prioritised recommendation with supporting evidence and a PRD draft.
Custom AI Agent + Knowledge Base
2
Approval Request Fires to Slack
For roadmap commits, PRD approvals, or external stakeholder communications, the agent pauses and sends the draft to your CPO or PM lead for review.
Human-in-the-Loop Notification
3
You Approve, Edit, or Redirect
No login required. Approve and it updates Jira/Linear. Edit the recommendation in the Slack thread. Redirect with new prioritisation criteria.
Human Decision
4
Agent Updates Roadmap & Notifies Stakeholders
On approval, roadmap is updated in Jira or Linear and stakeholder notifications are sent. All decisions are logged with supporting data for future reference.
Roadmap Updated + Logged

Approval Notifications — Live

Slack — #product-approvals7 min ago
AI Head of Product
Q4 Prioritisation Recommendation Ready
Top 3: Advanced Reporting (14 enterprise requests) · Slack Integration (92 tickets) · Bulk Export (quick win, 40+ tickets/mo)
PRD drafts ready for all 3 features.
Email — Product Lead2 hrs ago
AI Head of Product
Feature Adoption Alert — Advanced Reporting (8% adoption)
Shipped 6 weeks ago. 0 enterprise accounts using it despite 14 requesting it. Recommend in-app onboarding nudge + CSM outreach. Draft prepared.
Teams — Product Channel4 hrs ago
AI Head of Product
Weekly Product Intelligence Report
Feedback themes: 3 new · Roadmap items updated: 5 · Adoption alerts: 2 · PRDs drafted: 3 · Sprint #43 on track.
Job Scheduling

Runs Its Own Calendar. Automatically.

Configure schedules once in plain English. RhinoAgents' enterprise job scheduler runs the right tasks at exactly the right times — even while your team is offline.

Daily Feedback Synthesis — 8:00 AM
Pulls new feedback from Intercom, G2, Zendesk, and Slack. Clusters into themes, quantifies demand frequency, and updates the roadmap signal dashboard.
Feature Adoption Monitoring — Daily 7:00 AM
Checks adoption metrics for all live features. Flags any feature below your defined adoption threshold with recommended intervention options.
Weekly PRD Digest — Monday 9:00 AM
Surfaces the top 5 unaddressed feedback themes with estimated impact and a skeleton PRD for each. Delivered to PM team Slack channel.
Sprint Review Report — End of Sprint
Compiles shipped features, adoption early signals, open bug count, and stakeholder communication status. Delivered to product leadership automatically.
AI Head of Product Schedule — Today
8:00 AM
Feedback synthesis — 340 new signals · 3 new themes identified
Done
9:00 AM
Adoption check — Advanced Reporting at 8% · Alert sent
Done
10:00 AM
Q4 prioritisation recommendation — Awaiting CPO approval
Waiting
2:00 PM
PRD draft review — Slack Integration feature · Scheduled
Queued
4:00 PM
Stakeholder update — Sprint #43 summary · Scheduled
Queued
5:00 PM
Jira sync — Update roadmap with approved priorities
Queued
400+ Integrations

Connects to Your Entire Stack.

Your AI employee has read and write access to every tool in your workflow — no manual data entry, no copy-paste between tabs.

Jira Linear Mixpanel Intercom ProductBoard Zendesk Amplitude Confluence Notion Slack Salesforce 400+ more
Enterprise Security

Your Data. Fully Protected.

RhinoAgents' enterprise security controls ensure every action your AI employee takes is encrypted, auditable, and compliant.

AES-256 Encryption
All data encrypted at rest with AES-256. All data in transit protected with TLS 1.3. Zero plaintext credential storage.
Role-Based Access Control
Granular RBAC lets you define exactly who can view, approve, edit, or audit your AI employee's actions and outputs.
Immutable Audit Logs
Every action logged with an immutable timestamp. Tamper-proof chain of custody for every decision and output your AI employee produces.
SSO / SAML 2.0
Integrates with Okta, Azure AD, Google Workspace, or any SAML 2.0 identity provider with MFA enforcement.
Zero Data Retention
Sensitive content is never stored beyond its processing window. Automated PII masking and data deletion on request.
Collaborative Workspace
Share agent configurations, templates, and playbooks across your team via the secure shared library.
SOC 2 Type II GDPR Compliant HIPAA Ready AES-256 Encrypted ISO 27001 Aligned Zero Data Retention
FAQ

Common Questions

What does an AI Head of Product do?
It synthesises user feedback from all your channels daily, monitors feature adoption, generates PRDs from plain-English descriptions, prioritises the roadmap using your framework (RICE, ICE, or custom), and delivers weekly product intelligence reports — all autonomously.
How does it prioritise the roadmap?
It uses your defined prioritisation framework (RICE, ICE, or custom) weighted against: feedback frequency, ARR at risk, current adoption data for existing features, engineering complexity estimates, and strategic alignment with your product vision.
Can it write PRDs autonomously?
Yes — you describe the feature in plain English and it generates a structured PRD: user stories, acceptance criteria, success metrics, edge cases, and dependency notes. All PRDs route through Human-in-the-Loop approval before being added to Jira or Linear.
How does feedback synthesis work?
It connects to Intercom, G2, Zendesk, ProductBoard, and Slack. It ingests all new feedback daily, uses NLP to cluster themes, quantifies demand frequency per theme, and maps each theme to existing roadmap items — giving your PMs a single prioritised signal view.
How quickly can we get it running?
Most product teams are fully operational within 60–90 minutes: connect Jira, Mixpanel, and Intercom (20 min), load your product vision and prioritisation framework (15 min), configure PRD approval workflows (15 min), review the first feedback synthesis report (20 min), and go live.
Your AI Head of Product is Ready
Hire an AI Head of Product
That Works Every Hour of Every Day

Configure in 60 minutes. No code. No hiring process. Your AI Head of Product synthesises feedback, monitors adoption, prioritises the roadmap, and generates PRDs — starting today.

Hire Your AI Head of Product Book an Enterprise Demo