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Integration & AI Bot Squad

This page defines the Integration & AI Bot Squad offering — an AI-powered team specialized in system integrations and AI capabilities. It is written for product managers, sales, and customers needing integration and AI bot services.

For companies that need integrations + AI around their existing systems. Specialized in stitching your systems together and layering AI on top.

Tip

This squad is ideal for teams needing integrations (e.g., Greenhouse → Braze, Vetspire → Data Platform) and businesses wanting to add AI bots and assistants. It delivers up to 2 integration/data pipelines and AI bot implementations per month.

Who It's For

  • Teams needing integrations like "Greenhouse → Braze", "Vetspire → Data Platform", "CRM → Marketing"
  • Businesses wanting to add AI bots and assistants on top of existing data (support, internal tools, knowledge bots)

Squad Composition

  • 1 Integration Architect Agent
  • 2 Developer Agents (APIs, ETL, functions)
  • 1 AI/ML Agent (prompts, flows, RAG)
  • 1 QA Agent
  • 0.5 DevOps Agent
  • 0.5 Product Agent

What We Deliver Each Month

Scope (Example)

  • Up to 2 integration/data pipelines (e.g., Greenhouse → Braze, Vetspire → Snowflake, Segment → Mixpanel)
  • Design and implement AI bots:
  • Connecting to your systems via APIs
  • Using your data for context (RAG, embeddings)
  • Integrating with channels (web, chat, Teams/Slack, etc.)
  • Observability and error tracking for all integrations and bot flows
  • Documentation: data contracts, integration diagrams, bot behavior specs

Ideal Outcomes

  • Stop doing glue work manually – have an AI squad that owns integrations and bot capabilities as a first-class product
  • Your team focuses on core product, not plumbing

Composition and Skills

Role (Agent/Hybrid) Description
Integration Architect Agent Designs integration patterns, data contracts, and API mappings.
Developer Agents (2) Build integration pipelines, ETL processes, and API connectors.
AI/ML Agent Designs AI bot flows, RAG implementations, and prompt engineering.
QA Agent Tests integrations, validates data flows, and bot behavior.
DevOps Agent (0.5 shared) Creates deployment pipelines for integrations and bots.
Product Agent (0.5 shared) Defines integration requirements and bot use cases.

Typical Outputs per Month

  • 2 Integration Pipelines - Complete integration implementations:
  • Data pipelines (e.g., Greenhouse → Braze, Vetspire → Snowflake)
  • API integrations (e.g., CRM, payment, communication)
  • ETL processes with error handling

  • Observability and monitoring

  • AI Bot Implementations - AI-powered bots and assistants:

  • Bot backend with conversation management
  • RAG integration with knowledge bases
  • Channel integrations (web, Teams, Slack)

  • Custom tools and skills

  • Documentation - Integration diagrams, data contracts, bot behavior specs

Ideal Customers and Scenarios

  • Companies Needing Integrations - Connecting disparate systems
  • Businesses Adding AI - Wanting AI assistants and bots
  • Data Pipeline Needs - ETL and data synchronization
  • Customer Support - AI-powered support bots

Engagement Model

  • Subscription: Monthly subscription
  • Minimum Commitment: Flexible (monthly or 3-month minimum)
  • Add-Ons: Project-based add-ons for large integration programs
  • Flexible: Can combine with other squads

For detailed pricing, see Squads Business Model.

Example Roadmap for 3 Months

Month 1: Core Integrations

  • Greenhouse → Braze integration pipeline
  • Customer support bot with RAG
  • Error handling and monitoring
  • Documentation

Month 2: Advanced Integrations

  • Vetspire → Data Platform pipeline
  • Internal knowledge bot
  • Channel integrations (Teams, Slack)
  • Analytics and reporting

Month 3: AI Enhancements

  • Advanced bot capabilities
  • Custom tools and skills
  • Performance optimizations
  • Production hardening

Tip

When pitching Integration & AI Bot Squad, emphasize specialization. "Stop doing glue work manually. Let our specialized squad handle integrations and AI, so your team focuses on core product."