LogoLogo
Go to website
  • Welcome
  • Getting Started
    • Amigo Overview
      • System Components
      • Overcoming LLM Limitations
      • [Advanced] Future-Ready Architecture
      • [Advanced] The Accelerating AI Landscape
    • The Journey with Amigo
      • Partnership Model
  • Concepts
    • Agent Core
      • Core Persona
      • Global Directives
    • Context Graphs
      • State-Based Architecture
      • [Advanced] Field Implementation Guidance
    • Functional Memory
      • Layered Architecture
      • User Model
      • [Advanced] Recall Mechanisms
      • [Advanced] Analytical Capabilities
    • Dynamic Behaviors
      • Side-Effect Architecture
      • Knowledge
      • [Advanced] Behavior Chaining
    • Evaluations
      • [Advanced] Arena Implementation Guide
    • [Advanced] Reinforcement Learning
    • Safety
  • Glossary
  • Advanced Topics
    • Transition to Neuralese Systems
    • Agent V2 Architecture
  • Agent Building Best Practices
    • [Advanced] Dynamic Behaviors Guide
  • Developer Guide
    • Enterprise Integration Guide
      • Authentication
      • User Creation + Management
      • Service Discovery + Management
      • Conversation Creation + Management
      • Data Retrieval + User Model Management
      • Webhook Management
    • API Reference
      • V1/organization
      • V1/conversation
      • V1/service
      • V1/user
      • V1/role
      • V1/admin
      • V1/webhook_destination
      • V1/dynamic_behavior_set
      • V1/metric
      • V1/simulation
      • Models
      • V1/organization
      • V1/service
      • V1/user
      • V1/role
      • V1/conversation
      • V1/admin
      • V1/webhook_destination
      • V1/dynamic_behavior_set
      • V1/metric
      • V1/simulation
      • Models
Powered by GitBook
LogoLogo

Resources

  • Pricing
  • About Us

Company

  • Careers

Policies

  • Terms of Service

Amigo Inc. ©2025 All Rights Reserved.


On this page
  • The Collaborative Team Structure
  • Strategic Goal: Capturing First-Mover Advantage in Enterprise AI
  • Communication Cadence

Was this helpful?

Export as PDF
  1. Getting Started
  2. The Journey with Amigo

Partnership Model

PreviousThe Journey with AmigoNextAgent Core

Last updated 10 days ago

Was this helpful?

Successful AI implementation requires more than just technology—it demands a thoughtful collaboration that leverages both your enterprise expertise and Amigo's implementation framework. Our partnership model establishes a clear team structure with defined roles and responsibilities to ensure efficient, effective agent development.

We bring the AI expertise, platform infrastructure, and insights from the frontier of AI development. Our focus is on building an efficient, recursively improving system that evolves iteratively.

You bring the domain expertise, specific business challenges, and operational context. Domain experts are primarily responsible for building the world/problem models and judges that drive evolutionary pressure and track competitive market changes. This foundational work by your experts in defining problem models and judging criteria is what shapes the evolutionary pressures within Amigo's , ensuring agent development is tightly coupled with your business realities.

This partnership model is crucial for the following reasons:

  1. Deep Integration: Effective AI necessitates close integration with existing workflows, data systems, and organizational goals – achievable only through strong collaboration.

  2. Iterative Alignment: Real-world deployment uncovers edge cases and demands ongoing fine-tuning. Our iterative training loops, powered by actual operational data gathered through partnership, are essential for achieving and maintaining high reliability.

  3. Strategic Velocity: The AI landscape evolves swiftly. A partnership enables quicker adaptation and integration of new capabilities than isolated development.

  4. Shared Ownership: Co-building cultivates internal expertise and ensures that the resulting AI solutions are genuinely owned and comprehended by your organization.

Amigo's architecture is designed to be the engine, but the partnership is the fuel that drives successful, scalable, and strategically aligned AI implementation.

The Collaborative Team Structure

The Amigo partnership model brings together cross-functional teams from both organizations to create a comprehensive implementation framework:

Your Enterprise Team

For optimal implementation, we recommend establishing two core resources within your organization:

Domain Experts

Role: Subject matter specialists who define your service's differentiating aspects

Responsibilities:

  • Articulate what makes your service unique and valuable

  • Define critical knowledge areas and decision frameworks

  • Provide expert guidance on complex edge cases

  • Validate agent responses for accuracy and quality

  • Identify key metrics that define successful performance

  • Act as red-lining team; safety specialists who establish boundaries and guardrails

Example: In a healthcare implementation, this might include physicians, nutritionists, and behavioral health specialists who define weight management from a cognitive science perspective.

Product Experience

Role: Product managers or designers who dictate the desired user experience

Responsibilities:

  • Define end-to-end user experience requirements

  • Establish success metrics aligned with business objectives

  • Prioritize features and capabilities for implementation

  • Ensure consistent experience across interaction touch points

  • Validate that agent performance meets user needs

Example: In a financial services implementation, this might include UX designers and digital banking product managers who ensure the agent provides intuitive, helpful interactions while driving adoption metrics.

The Amigo Implementation Team

Amigo provides a dedicated Agent Engineer to guide your implementation from conception to deployment:

Agent Engineers

Role: Primary implementation lead embedded with your team

Responsibilities:

  • Guide overall implementation from conception to deployment

  • Translate your domain expertise into agent capabilities

  • Design and implement context graphs and dynamic behaviors

  • Coordinate between technical and domain teams

  • Ensure consistency with Amigo best practices

The AI Engineer serves as your primary point of contact through the implementation process.

Strategic Goal: Capturing First-Mover Advantage in Enterprise AI

The next 18-24 months represent a critical window to establish dominant positions in high-value enterprise AI applications. Being the first to integrate a reliable AI solution into mission-critical workflows creates significant, often insurmountable, competitive advantages.

Why First-Mover Advantage Matters:

  1. Data Compounding Effects: The first AI system deployed starts collecting valuable, proprietary enterprise interaction data immediately. This data fuels the iterative training loop, leading to accelerating performance improvements that competitors struggle to match.

  2. Trust Threshold in Regulated Industries: In sectors like finance, healthcare, and legal, the first AI solution to demonstrably meet rigorous reliability and compliance standards often captures the market. Establishing trust is a slow process, giving early movers a significant head start.

Amigo's Partnership Model is Designed for Speed and Advantage:

Our collaborative approach is explicitly structured to help you capture this first-mover advantage:

  • Rapid Domain Mapping via Expert Integration: We embed directly with your domain experts. This allows us to quickly understand the nuances of your specific problem space and translate that knowledge into effective agent structures (context graphs, behaviors) without lengthy delays.

  • Targeted Reliability with Red-lining: Instead of waiting for perfection across the board, we use red-lining to isolate and guarantee compliance for the absolute most critical functions first. This allows for faster initial deployment in regulated environments.

  • Iterative Deployment & Improvement: We focus on establishing a baseline of reliable performance quickly, getting a working solution into your workflows. From there, our continuous, iterative training process systematically enhances performance based on real-world feedback and data, solidifying your lead.

Amigo's partnership model prioritizes deploying working, integrated, and continuously improving solutions into your enterprise environment before the competitive window closes.

Communication Cadence

Effective collaboration requires structured communication. Our standard implementation includes:

  • Weekly Core Team Meetings: Working sessions with your domain experts and product managers

  • Bi-weekly Executive Reviews: Progress updates and strategic alignment with key stakeholders

  • Milestone Reviews: Structured checkpoints at the completion of each implementation phase

  • [Optional] Implementation Stand-ups: Daily tactical coordination during active development

Evolutionary Chambers