[001] AI Agent Offerings - Implementation Plan

Date: 2025-10-26 Category: Product & Planning Type: Implementation Plan Status: Foundation Complete

Quick Summary

Research-backed plan to add 3 containerized AI agent products to intentsolutions.io. Based on comprehensive market research, validated ROI metrics, and competitive analysis.

Key Decision: Focus on 3 core agents (LinkedIn, Meeting, Support) with 2-tier pricing and fact-based positioning.

Executive Summary

Recommendations

• ✅ 3 core agents - LinkedIn, Meeting, Support (NOT 5)
• ✅ 2-tier pricing - Self-serve + Managed (with Custom option)
• ✅ Remove unverifiable claims - Use ONLY validated ROI metrics
• ✅ Position 40-60th percentile - Above average, below premium
• ✅ Technical, no-BS tone - Maintain authenticity

Product Lineup

Agent 1: LinkedIn Outbound Agent

Market Position: 40th percentile Dux-Soup $41 < YOU $59-79 < PhantomBuster $99 < Expandi $99

Validated Claims

• ✅ “Replaces 3-5 SDRs” - TRUE (SDR avg: $75K/yr = $6,250/mo)
• ✅ “Books meetings autonomously” - TRUE (verified competitors)
• ✅ “Processes 1,000+ leads/day” - TRUE (PhantomBuster benchmark)
• ❌ “3x higher response rates” - UNVERIFIED (ideal scenario only)

Pricing

What It Actually Does

1. Finds prospects matching ICP on LinkedIn
2. Enriches data via Apollo.io / Clay.com APIs
3. Generates personalized messages (GPT-4 templates)
4. Sends connection requests + follow-ups
5. Books qualified meetings to calendar
6. Updates HubSpot/CRM with activity

Real Integrations

• LinkedIn Sales Navigator API
• Apollo.io enrichment
• Instantly.ai / Lemlist (email)
• HubSpot / Salesforce CRM
• Calendly / Cal.com booking

Agent 2: Meeting Intelligence Agent

Market Position: 55th percentile Sembly $10-20 < YOU $97-297 < Grain $29 < Fireflies $39

Validated Claims

• ✅ “Saves 5+ hours/week” - TRUE (Nielsen Norman verified)
• ✅ “98% transcription accuracy” - TRUE (Otter.ai benchmark)
• ✅ “Extracts action items” - TRUE (standard feature)
• ❌ “Replaces executive assistant” - TOO BOLD (30% task completion)

Pricing

What It Actually Does

1. Joins Google Meet / Zoom calls (bot participant)
2. Transcribes with 90-98% accuracy (Whisper API)
3. Generates structured summary (agenda, decisions, actions)
4. Extracts action items with assignees
5. Sends follow-up emails with summary
6. Updates Notion / HubSpot with meeting notes

Real Integrations

• Google Meet / Zoom webhook
• OpenAI Whisper (transcription)
• GPT-4 (summarization)
• Notion / Confluence
• Slack (notifications)
• HubSpot (CRM update)

Agent 3: Customer Support Triage Agent

Market Position: 60th percentile Intercom Fin $74 < YOU $147-497 < Zendesk $125

Validated Claims

• ✅ “4 hours → 4 minutes” - TRUE (McKinsey 74% reduction)
• ✅ “Handles 45-50% of queries” - TRUE (retail/travel benchmark)
• ✅ “Human approval required” - GOOD DISCLAIMER
• ❌ “Replaces support team” - FALSE (45-50% deflection, not 100%)

Pricing

What It Actually Does

1. Monitors Zendesk / Intercom ticket queue
2. Categorizes by urgency/department (ML)
3. Drafts responses using knowledge base (RAG)
4. Requires human approval before sending
5. Escalates complex/sensitive issues
6. Learns from approved/edited responses

Real Integrations

• Zendesk / Intercom API
• Notion / Confluence (knowledge base)
• OpenAI GPT-4 (responses)
• Slack (escalation)

What We’re NOT Adding

❌ Research Agent

Why: Too broad, unclear value prop. Data enrichment already covered in LinkedIn agent.

❌ Security Agent

Why: Wrong audience. Selling to operators/founders, not CISOs. Enterprise sales cycle.

❌ “AI Agent Suite” Bundle

Why: Only 3 agents. Bundle makes sense at 4-5+ products. Offer multi-agent discount instead.

Pricing Strategy

Market Positioning: 40-60th Percentile

Why This Works:

• Not budget tier ($10-20/mo) - signals quality
• Not premium ($4K+/mo) - accessible to SMBs
• “Above average” psychology - worth paying for
• Room for growth - 10-15% annual increases

Complete Pricing Matrix

Why Monthly Fees for Self-Serve?

Research Finding: Per-seat-only pricing = 2.3x higher churn

Benefits:

• For You: Recurring revenue, ongoing relationship
• For Customer: Predictable costs, includes updates
• What’s Included: Docker updates, bug fixes, email support

Content Audit

❌ Remove These Claims

Too Grandiose:

• “creating industries that don’t exist” → Replace: “ai systems that ship to production”

Unverified:

• “AI transformation for your business”
• “Revolutionize” or “disrupt”
• “Save 80%+ of time”
• “Replace entire teams”
• “Deploy in minutes”

✅ Use Factual Statements

Implementation Status

✅ Completed

• Market research and competitive analysis
• Pricing strategy validation
• Product positioning defined
• Content audit complete

🔄 In Progress

• Technical architecture design (see [003])
• Container implementation
• API integrations

⏳ Planned

• Product page design
• Demo videos
• Customer onboarding flows

Related Documents

• [002] Market Research & Competitive Analysis - Full data
• [003] Container-Based Agent Architecture - Technical design
• [004] Final Implementation Decision - Architecture choice

Key Takeaways

1. Focus beats breadth - 3 well-defined agents > 5 vague ones
2. Facts over hype - Validated ROI metrics build trust
3. Tier pricing - Self-serve accessibility + managed convenience
4. Market positioning - 40-60th percentile = “worth it” psychology
5. No BS tone - Technical authenticity differentiates

Next Steps: Review competitive analysis ([002]) → Design architecture ([003]) → Finalize decision ([004])