Daniel - AI Head of Product
Available for Hire Product Management Roadmap & PRD Prioritization

Daniel

AI Head of 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.

⚡ 15+ hrs Executive Time Reclaimed
15 hrs Saved Weekly
24/7 Availability
Daniel
Daniel — AI Head of Product
Connected • 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.
Daniel
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
Daniel
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
Autonomous Capabilities

9 Major Capabilities of Your AI Head of Product

Everything your organization needs to eliminate repetitive manual bottlenecks, enforce operational compliance, and accelerate team velocity 24/7.

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Not a Tool. An Executive Partner.

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
Custom AI Employee Studio · 10-Step Builder

Need a Custom AI Head of Product?
Build & Tailor in 10 Steps

Want custom product discovery, roadmap prioritization, and feature adoption analytics workflows, proprietary playbooks, bespoke integrations, or specialized business rules? Follow these 10 steps to design, customize, test, and deploy a custom AI Head of Product tailored precisely to your company's operational motion.

1
Identity
2
Roles
3
Skills
4
Tasks
5
Schedules
6
Workflows
7
Memory
8
HITL
9
Testing
10
Deploy
1
Name & Identity
Give your AI employee a name, department, and operating persona
Start by giving your AI Head of Product an identity. This is how your team will interact with it across Slack, Microsoft Teams, email threads, and the executive dashboard. Define its department and configure its communication style for peer-to-peer enterprise execution.
Pro tip: Give it a recognizable name like "AI Head of Product" so team members can mention it in Slack channels just like any other colleague.
Create AI Employee — Identity
HO
Online · Ready to configure
2
Roles & Responsibilities
Define what your AI Head of Product is accountable for
Establish clear ownership for your AI Head of Product. Each role maps to a verified set of capabilities, platform connectors, and execution policies. Your AI employee operates with direct accountability — managing end-to-end tasks without requiring human hand-holding.
Pro tip: Start with core departmental responsibilities and expand anytime. Your AI employee learns your company SOPs and coordinates complex workflows continuously.
Assign Roles — AI Head of Product
User Feedback Synthesis
User Feedback Synthesis
Feature Adoption Monitoring
Feature Adoption Monitoring
PRD & User Story Generation
PRD & User Story Generation
Roadmap Prioritisation Intelligence
Roadmap Prioritisation Intelligence
3
Skills Configuration
Select and configure modular capabilities and tool connectors
Enable modular skills tailored for your operational requirements. Each skill connects to verified enterprise software integrations via secure OAuth2 or API tokens. Toggle skills on or off in one click with zero engineering dependencies.
Pro tip: Every skill comes pre-trained on industry best practices and enforces strict data validation before executing writes to production systems.
Skills Catalog — AI Head of Product
User Feedback Synthesis
IntercomProductBoard
Feature Adoption Monitoring
G2Zendesk
PRD & User Story Generation
MixpanelAmplitude
Roadmap Prioritisation Intelligence
HeapGoogle Analytics
4
Tasks Assignment
Define daily operational deliverables and priority tiers
Specify the daily task backlog your AI Head of Product will execute. Tasks can run on autonomous schedules or trigger in real-time when team members send requests via chat. Critical items take priority to prevent operational delays.
Pro tip: Set high-impact triage and alert tasks to Critical priority. This guarantees sub-minute reaction times whenever issues or high-priority requests arrive.
Task Backlog — AI Head of Product
1
Execute user feedback synthesis audit & status verification
Critical
2
Execute feature adoption monitoring audit & status verification
High
3
Execute prd & user story generation audit & status verification
High
4
Execute roadmap prioritisation intelligence audit & status verification
Medium
5
Execute stakeholder updates & release notes audit & status verification
Medium
5
Schedules & Cron Jobs
Set recurring cron times for autonomous execution
Configure exactly when each recurring process runs using RhinoAgents' enterprise job scheduler. Define cadences in plain English — morning audits, hourly scans, and weekly executive digests. Your AI employee operates around the clock without downtime.
Pro tip: Schedule morning scans prior to office hours. Your team starts each day with resolved requests, updated records, and clean summary briefings waiting in Slack.
Schedule Engine — AI Head of Product
07:00 AM
Morning operational audit & pending queue scan
Daily
Every 15m
Real-time event ingest, triage & autonomous resolution
Active
01:00 PM
Midday velocity check & SLA milestone verification
Daily
05:30 PM
End-of-day execution recap & exception digest to Slack
Daily
Fri 04:00 PM
Weekly executive analytics & productivity briefing
Weekly
6
Workflows & Automation
Construct visual end-to-end execution pipelines
Build end-to-end automated pipelines connecting triggers, intelligence nodes, decision logic, and tool actions. When events occur, the entire execution flow fires autonomously with built-in rollback protection and complete status logging.
Pro tip: Add conditional branch logic to handle edge cases. High-confidence routine paths run instantly, while high-value actions pause for quick team sign-off.
Visual Workflow — AI Head of Product
Event Trigger (Intercom)
Context & Policy Evaluation
Validation Check
Autonomous Action (ProductBoard)
HITL Approval (if > threshold)
Verified & Logged to Audit Trail
7
Memory & Knowledge Base
Upload company SOPs, manuals, rubrics, and guidelines
Equip your AI Head of Product with private institutional memory. Upload company handbooks, playbooks, rubrics, API specifications, and style guides. RhinoAgents' vector RAG engine securely indexes these documents to ensure every output strictly adheres to your internal standards.
Pro tip: Upload real past examples of high-performing work. Your AI employee extracts formatting nuances, terminology, and tone directly from your best files.
Knowledge Base — AI Head of Product
AI Head of Product Standard Operating Procedures.pdf
Indexed · 48 pages
Indexed
Enterprise Compliance & Quality Rubric.docx
Indexed · 24 rules
Indexed
Historical Benchmark & Best Practice Dataset.xlsx
Indexed · 1,420 rows
Indexed
System Integration & Schema Reference.json
Indexed · 12 endpoints
Indexed
8
Human-in-the-Loop Rules
Configure 1-click approvals for sensitive operations
Maintain rigorous oversight without bottlenecking daily throughput. Define which actions execute autonomously and which require 1-click sign-off from designated team leads in Slack or Microsoft Teams. Full speed where safe, 100% control where critical.
Pro tip: Approvals are delivered as interactive Slack cards. Review context, diffs, and estimated impact, then click Approve or Reject in one second directly from your phone.
HITL Safety Gates — AI Head of Product
Sensitive State Transitions or High-Value Actions
Requires 1-click team lead approval in Slack before write commit
Approval Required
Routine Data Extraction, Reconciliation & Ingest
Runs autonomously with full cryptographic audit logging
Auto-Run
Out-of-Policy Exceptions or Unmatched Records
Quarantined immediately with incident card dispatched to designated lead
Approval Required
Daily Telemetry & Digest Dispatches
Published to private department channels automatically on schedule
Auto-Run
9
AI Evaluation & Testing
Validate accuracy and test edge cases before deployment
Test your AI Head of Product against real-world sample prompts, messy data inputs, and edge-case scenarios before granting production write access. Verify that guardrails hold, integrations authenticate, and outputs meet your quality bar.
Pro tip: Run synthetic test conversations across three different difficulty tiers to calibrate accuracy scores and ensure bulletproof reliability.
Test Results — AI Head of Product
99.2%
Domain Accuracy & Adherence Benchmark
Evaluated against 5,000+ synthetic and historical enterprise prompts
Pass
< 1.8s
End-to-End Processing Latency
Average turnaround time per event ingest and execution cycle
Pass
99.98%
Integration Reliability & Uptime
Continuous automated health checks with auto-retry logic
Pass
Workflow Logic & Gate Verification
All trigger → action → decision → output branches validated
Pass
Multi-Channel Delivery Test
Slack, Teams, Email, and Webhook dispatch latency sub-1.5s
Pass
10
Deploy & Run Your AI Head of Product
Go live in under 24 hours — full telemetry for $20/mo
Your AI Head of Product is fully configured and ready to join your team. One-click deploy connects it to your live workspaces. Team members can chat with it immediately, while managers track execution via real-time dashboards and audit logs.
Pro tip: Review telemetry and completed actions at the end of day one. Teams typically report Reclaims 25+ hours/week per operator within the first week of deployment.
AI Head of Product — Live Console
Deploy AI Head of Product
Agent Status
Online · Running 24/7
Operational Output
100% operational uptime · Zero-defect execution
Business Impact
Reclaims 25+ hours/week per operator
Audit Log
Complete immutable trail active
Verified Customer Stories

Rated 4.9/5 by High-Growth Organizations

See how leading enterprise teams eliminate manual bottlenecks, enforce compliance, and accelerate output 24/7 with their AI AI Head of Product.

2x Strategic Velocity

"Having Daniel run our weekly operations cadence and monitor departmental deliverables has completely eliminated cross-functional silos. Our strategic execution speed has doubled."

15+ Hrs Saved / Wk

"Board decks, investor updates, and weekly executive briefings that used to take days of manual data aggregation are now ready in minutes. Daniel connects all our tools into one unified executive brain."

Zero Missed Deadlines

"The autonomous scheduling and proactive risk-flagging that Daniel provides ensures zero deliverables fall through the cracks. It has become an indispensable member of our leadership team."

Product Strategy & Roadmap Leadership Fit

Engineered for Executive Product Leadership & Strategy

From setting product vision and OKRs to managing product squads, analyzing unit economics, and aligning engineering with executive revenue targets — lead autonomous product strategy.

Early Stage • $1M–$5M ARR

Startups Needing Executive Product Leadership

Get fractional Chief Product Officer (CPO) expertise without a $260k salary. Define your product vision, establish discovery cadences, and align engineering sprints with revenue.

Ideal For
Early B2B Tech Startups, High-Potential Seed Companies, Product-Led Founders
Clear Multi-Quarter Roadmaps • Zero Feature-Creep Waste
Scale-Up • $5M–$40M ARR

Scaling Product Organizations & Multi-Squad Teams

Manage multiple PM squads, optimize product-led growth (PLG) conversion funnels, evaluate build vs. buy decisions, and report product velocity to executive boards.

Ideal For
Growth-Stage SaaS Companies, FinTech Scale-Ups, Consumer Tech Scale-Ups
32% Faster Time-to-Market • Data-Driven Prioritization
Enterprise • Multi-Product Portfolios

Enterprise Product Leadership & Corporate Strategy

Orchestrate multi-brand portfolio roadmaps, M&A product integrations, enterprise customer advisory boards (CAB), and board-level product strategy briefings.

Ideal For
Global Tech Corporations, Enterprise Software Portfolios, Public Tech Firms
Executive Board Reporting • Multi-Product Portfolio Alignment
Deployed Across Leading Product Organizations
Enterprise B2B Software & SaaS FinTech, Neobanks & Payments HealthTech & Clinical Informatics Omnichannel E-Commerce & Retail Interactive Entertainment & Gaming Supply Chain & Logistics Platforms Developer Tools & API Infrastructure EdTech & Learning Platforms
Simple, Transparent Pricing

Start Free. Scale as You Grow.

Transparent pricing with zero per-seat user taxes. Choose the tier that matches your current momentum and deploy your autonomous workforce in minutes.

Free Trial
Experience your first autonomous agent live in production.
$0 / 14 days
  • 1 Autonomous AI Agent Role
  • 1,000 Free Action Credits
  • Core Web & Document Tools
  • Community & Knowledge Base
  • No Credit Card Required
Start Free 14-Day Trial
Starter
Ideal for solo operators, local businesses, and small teams.
$20 / month
  • Up to 3 AI Employee Roles
  • 10,000 Monthly Action Credits
  • Full Knowledge Base (RAG) Sync
  • Calendar, Email & CRM Sync
  • Unlimited Human Teammates
Deploy Starter Agent
Business
For mid-market and enterprise teams commanding custom governance.
$99 / month
  • 10+ Autonomous AI Roles
  • 150,000+ Monthly Credits
  • 400+ Enterprise Connectors
  • SOC 2 Type II & HIPAA Ready
  • Custom VPC & Private Deployments
  • Dedicated SLA & Solution Engineer
Launch Business Tier
14-Day Risk-Free Trial Zero Per-Seat User Taxes Cancel Anytime in 1 Click SOC 2 Type II & HIPAA Ready Live Production in <10 Mins
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.
Who is this AI Head of Product built for?
This AI employee is built for organizations across 3 primary tiers: (1) Startups Needing Executive Product Leadership (Early B2B Tech Startups, High-Potential Seed Companies, Product-Led Founders) — Get fractional Chief Product Officer (CPO) expertise without a $260k salary. Define your product vision, establish discovery cadences, and align engineering sprints with revenue.; (2) Scaling Product Organizations & Multi-Squad Teams (Growth-Stage SaaS Companies, FinTech Scale-Ups, Consumer Tech Scale-Ups) — Manage multiple PM squads, optimize product-led growth (PLG) conversion funnels, evaluate build vs. buy decisions, and report product velocity to executive boards.; and (3) Enterprise Product Leadership & Corporate Strategy (Global Tech Corporations, Enterprise Software Portfolios, Public Tech Firms) — Orchestrate multi-brand portfolio roadmaps, M&A product integrations, enterprise customer advisory boards (CAB), and board-level product strategy briefings.. Key supported industries include Enterprise B2B Software & SaaS, FinTech, Neobanks & Payments, HealthTech & Clinical Informatics, Omnichannel E-Commerce & Retail, Interactive Entertainment & Gaming, Supply Chain & Logistics Platforms, Developer Tools & API Infrastructure, EdTech & Learning Platforms.
How much does AI Head of Product cost?
RhinoAgents offers transparent pricing with no per-seat human fees: Free Trial ($0 for 14 days, 1 AI employee, 1,000 credits), Starter ($20/month for up to 3 AI employees, 10,000 credits), Pro ($49/month for up to 5 AI employees, 50,000 credits with persistent memory & Human-in-the-Loop), Business ($99/month for up to 10 AI employees, 150,000 credits with 400+ connectors), and Custom Enterprise plans ($1,000+/month) with dedicated VPC or on-premise deployment. Unlimited human team members can collaborate with the AI employee without paying extra user seat fees.
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.