Agentic AI Platform Accelerator: Enterprise-Grade AI Agents at Scale

NorthBay’s Agentic AI Platform Accelerator empowers for Travel & Hospitality helps airlines, hotel chains, and transportation providers to evolve from isolated GenAI experiments to enterprise-grade agentic systems embedded in business workflows. This 6-month guided engagement delivers both a production-ready reference agent and a reusable platform foundation—combining observability, governance, and low-code enablement to accelerate time-to-value.

Built for CIOs, CTOs, and Heads of AI/ML, this accelerator addresses major barriers to AI scale-out: poor workflow integration, lack of observability, platform sprawl, and compliance concerns. From co-pilots that assist in HR and IT to text-to-SQL tools that unlock structured data, this accelerator supports tangible automation outcomes across business domains.

You’ll receive reusable scaffolding for AgentOps and MLOps, embedded training sessions, and hands-on delivery from NorthBay engineers—all designed to ensure your teams can scale agentic capabilities independently.

Approach

NorthBay’s collaborative OneTeam Model ensures continuous alignment and rapid deployment. Through strategic discovery, technical implementation, and enablement, we embed AI capabilities into your enterprise fabric. Milestone-driven workshops, reference agent deployment, and live observability dashboards ensure both short-term wins and long-term scalability.

Activities

Key activities we will provide throughout the journey:

• Strategic Discovery & Platform Enablement Plan: Align stakeholders, assess AI maturity, and define high-value patterns to target with agentic capabilities.
• Reference Agent Deployment: Deploy a production-grade agent equipped with tool integration, memory, and contextual reasoning for real business use.
• Implementation of AgentOps and MLOps Foundations: Establish pipelines for versioning, retraining, monitoring, and governance to support scalable agent operations.
• Observability Dashboards and Feedback Systems: Setup monitoring and feedback tools to track agent performance and guide continuous improvement.
• Bi-weekly Enablement Sessions and Documentation Handoff: Conduct hands-on training and provide detailed documentation to empower internal teams for ongoing development.

Deliverables

Depending on scope, you can expect to receive the following:

• Working Reference Agent with Operational Tooling: A semi-autonomous agent integrated with enterprise systems and capable of real task execution.
• Modular Agent Architecture Blueprints: Templates and best practices for building domain-specific agents across various workflows.
• AgentOps/LLMOps Pipelines: Automated infrastructure for managing agent lifecycle, including retraining, compliance, and auditability.
• Live Feedback and Monitoring Interfaces: Dashboards and analytics tools that provide real-time insights into agent behavior and business impact.
• Enablement Assets: Low-Code Tools, APIs, IDE Integrations: Development-friendly interfaces and integration points for both technical and non-technical users.
• Institutional Knowledge Transfer Documents: Comprehensive handoff materials to ensure internal teams can maintain and scale the platform independently.

Outcomes

• Time-to-Impact: Tangible platform and agentic capability delivered in <6 months; reference agent shows real workflow impact.
• Accelerated Adoption: Departmental teams onboarded and trained on a consistent, repeatable agent development platform.
• Operational Efficiency: Measurable reduction in task steps/time for business-critical workflows using co-pilots and assistants.
• AI System Observability: Real-time monitoring and feedback loops enable performance benchmarking and iterative improvement.
• Governance & Compliance: Enterprise-ready architecture with built-in agent guardrails, auditability, and HITL safeguards.
• Organizational Readiness: Internal teams gain confidence, tools, and templates to independently scale agentic solutions.

AWS Services

• Amazon Bedrock – Orchestrate foundational models securely with agentic frameworks.
• Amazon SageMaker – Customize models for a variety of industry use cases.
• Amazon EventBridge & Step Functions – Power autonomous workflows triggered by disruptions or operational changes.
• AWS Lambda – Serverless execution of lightweight agent actions tied to agentic systems.
• Amazon CloudWatch & AWS Config – Monitor agent behavior, performance, and compliance.