2-Week Rapid Deploy

Deploy a Production AI Agent in Two Weeks*

The fastest way to get a production-ready AI agent. The AgentCore Accelerate Program is a focused, two-week sprint to design and deploy a custom agent in your AWS account.

Book a Discovery Call

See What's Included

35+

AI agents delivered

2 weeks

From kick off to working agent

$15K

Fixed-price engagement*

*$15,000 fixed-scope engagement, often covered through AWS funding for eligible customers. Two weeks starts from project kickoff.

Meet your new AI Agent

What's included in AgentCore Accelerate

Your production-ready agent is delivered to your AWS account, in your repo, and customized to your business.

Production-ready architecture

Deployed via AgentCore in your AWS account
Multi-turn conversation capabilities
Configurable memory retention
Strands-based agent architecture

Connected to your data and tools

(1) Custom MCP Server Tool integrated with your existing API
(1) Knowledge Base configured with your proprietary data (S3-based)
Built-in browser search and code interpreter tools

Built-in safety and visibility

Guardrails for safe and compliant AI operations
Cloud-based observability with Langfuse integration
Secure chat UI with authentication for testing and validation

Worry-free infrastructure

AWS architecture fully deployed in your account
Complete Terraform infrastructure-as-code
OpenSearch vector database for knowledge retrieval
ECS-hosted tool endpoints

Full documentation and training

Comprehensive README with architecture diagrams
Step-by-step deployment and teardown instructions
One-hour live knowledge transfer session with recording
Full source code in Python and Terraform

Let's get building

Book a discovery call to discuss your agent scope and learn about AWS funding opportunities.

Book a Discovery Call ->

Build with Purpose

How we deploy in two weeks

We've deployed many AI agents, so we've condensed the essentials in a quick sprint.

WEEK 1

Discovey & Foundation

Your Responsibility

Complete project onboarding and provide AWS account access
Provide API documentation and access credentials for one custom tool
Provide validation dataset, up to 50 samples
Load pre-processed data for Knowledge Base into S3
Subscribe to Tech 42's AgentCore Starter Pack in AWS Marketplace

Tech 42 Delivers

AgentCore base agent with core capabilities deployed in your AWS account
System prompts configured to your requirements
Begin development for one MCP Server tool, including agent integration
Knowledge base initialized with your data
Secure chat UI for testing

WEEK 2

Implementation & Knowledge Transfer

Your Responsibility

Participate in User Acceptance Testing (UAT)
Validate agent responses against test queries
Attend one-hour knowledge transfer session
Review and approve documentation
Sign project signoff form for AWS funding (if applicable)

Tech 42 Delivers

Completed integration and testing for one MCP Server tool
Finalized Knowledge Base configuration with vector database
Full monitoring and observability configured (Langfuse/CloudWatch)
Complete Terraform infrastructure code
Architecture diagrams and deployment documentation
Live knowledge transfer session with recording

RESULTS DELIVERED

Work with AI agent experts to streamline your build

From industrial to healthcare and everything inbetween, our experience delivering AI agents speaks for itself.

“

Tech 42 was an outstanding partner throughout our AI agent proof-of-concept. From the beginning, their team demonstrated deep technical expertise and a strong understanding of our goals. They delivered exactly what we were expecting—an Amazon Bedrock–powered conversational agent that enables natural language interaction with our data platform—while maintaining excellent communication and collaboration throughout the engagement."

John Williams
CTO, Dash LX

“

The technical expertise was outstanding. Tech 42 was able to clearly explain complex details and design an architecture that not only solved our immediate scaling challenges but will also support our long-term product vision. The coordination and communication throughout the engagement were equally strong — Slack updates, well-scheduled meetings, and the team's flexibility made collaboration seamless."