GenAI Squads by Escala 24x7

GenAI Squads by Escala 24x7 is an on-demand delivery model for organizations that want to move beyond isolated generative AI pilots and build a sustained pipeline of production use cases on AWS.

You contract a squad for a defined period and apply its capacity across the use cases that matter most to your business: customer service, internal support, document analysis, chatbots and specialized agents. Capacity is sized to the number and complexity of use cases in scope, and the engagement is structured so that scope, effort and timelines are validated with evidence rather than assumed.

SQUAD TIERS

Tier 1, Full Squad: CPSM or project manager, AI engineer, data engineer, cloud engineer, full-stack developer, QA analyst, UI/UX designer and, where needed, data scientist. Required for high-complexity use cases involving distributed architectures, advanced security, critical integrations and agents serving end users. Minimum engagement of six months. Tier 2, Partial Squad: CPSM or project manager, AI engineer, data engineer and cloud engineer. Suited to low and medium complexity use cases focused on discovery, prototyping, MVPs with limited integration and scaling to production. Minimum engagement of three months, with the option to scale up to Tier 1.

HOW EACH USE CASE IS DELIVERED

Phase 1, Discovery, design and governance. Diagnostic call and discovery workshop to map the current and target process, define KPIs and evaluation criteria, assess data sources, quality and accessibility, and define the technical stack. Solution architecture is designed across data (ingestion pipelines, ETL, vector stores for RAG) and GenAI (agent, multi-agent, RAG or LLM patterns using services such as Amazon Bedrock and Amazon SageMaker, and frameworks such as Strands or LangChain), together with AWS cost estimates. A governance, security and responsible AI framework is established, covering data ownership, access policies, encryption, anonymization, privacy compliance, bias analysis and traceability. The phase closes with an execution roadmap for Phases 2 and 3, effort broken down by profile and phase, confirmation of the complexity level, identification of client and third-party dependencies, joint prioritization of the use case portfolio, and validation of the contracted assignment period against the consolidated roadmap.

Phase 2, MVP development. Deployment of the development and testing environment on AWS, implementation of the designed architecture, integration with validated data sources, A/B evaluation of foundation models available in Amazon Bedrock, iterative refinement of prompts and conversational flows, unit and integration testing, and interactive demos for client validation.

Phase 3, Deployment at scale. Refactoring and optimization for performance, cost efficiency and resilience; production deployment with security and operational best practices; monitoring configuration with Amazon CloudWatch; final system integrations; model, RAG and agent evaluation with defined metrics including LLM-as-a-judge; load and resilience testing; and final security and compliance verification.

COMPLEXITY MODEL Use cases are classified as low, medium or high complexity based on data volume and structure, number and criticality of integrations, security and regulatory requirements, AI approach, application development scope and testing needs. This classification determines squad composition and timelines, and is confirmed or adjusted during Phase 1.

DELIVERABLES PER USE CASE Use case definition document with current and target process maps, objectives, scope and success KPIs; solution architecture with AWS service selection and cost estimates; governance and data analysis report covering data quality, security mechanisms and responsible AI risks; execution roadmap for subsequent phases; scope and assignment period validation record signed by both parties; functional MVP deployed on AWS; testing and validation report; production solution with monitoring and security configured; quality assurance report; complete technical documentation; and hands-on training and knowledge transfer for your team.

WHY ESCALA 24X7 More than 13 years as an AWS Premier Tier Services Partner in Latin America, with certified specialists in machine learning, data and analytics, generative AI, security and application modernization, delivery grounded in the Escala Agile Framework, and a strategic relationship with the AWS Generative AI Innovation Center.