Sales Strategy: AI Agent Orchestration Platform
1. Target Customers
- Primary: AI/ML developers, automation engineers, solopreneurs, startups.
- Secondary: Enterprise innovation teams, consultancies, digital agencies.
2. Sales Approach
- Product-Led Growth:
- Free tier and open-source edition to drive adoption.
- Self-serve onboarding and in-app tutorials.
- Community and marketplace engagement.
- Direct Sales:
- Outreach to enterprise innovation teams and consultancies.
- Custom demos, pilots, and proof-of-concept projects.
- Solution engineering for complex integrations.
- Channel Partnerships:
- Collaborate with LLMOps vendors, cloud providers, and agent ecosystem partners.
- Enable resellers and consulting partners.
3. Sales Funnel & Enablement
- Awareness: Content marketing, webinars, and community events.
- Consideration: Technical documentation, case studies, and live demos.
- Decision: Free trials, onboarding support, and reference customers.
- Expansion: Upsell SaaS features, marketplace offerings, and enterprise packages.
4. Sample Sales Scripts
- "Our platform lets you orchestrate any AI agent—open, extensible, and observable."
- "You can monetize your agents and templates in our marketplace."
- "Enterprise? We support SSO, compliance, and advanced monitoring."
5. Objection Handling
- "Is it open source?" → "Yes, with an open core and SaaS features."
- "Can I use my own agents?" → "Absolutely, via Docker, API, or A2A."
- "What if I need support?" → "We offer premium and community support."
6. Pricing Models (Examples)
- Free community tier
- Pro: $29/mo (advanced features)
- Enterprise: Custom pricing
7. Key Metrics
- Free-to-paid conversion rate.
- Marketplace transaction volume.
- Enterprise deal pipeline and close rate.
- Customer satisfaction (NPS, support tickets).
8. Tools & Collateral
- Product one-pager, pitch deck, and demo scripts.
- Case study library and ROI calculators.
- Integration guides and technical FAQs.
This sales strategy will evolve with market feedback and platform maturity.