Your local AI partner
Choose the launch track that matches your urgency, tooling, and compliance posture.
For Startups & Fast Movers
Idea to Prototyping
Ship AI-powered workflows in days using Make.com, n8n, or Zapier. Perfect for validating ideas, automating operations, and proving ROI without heavy engineering.
- ✔Launch in 1–2 weeks
- ✔No-code automation stack (Make.com, n8n, Zapier)
- ✔Pre-built workflow templates & prompt kits
- ✔Connect your SaaS apps and data sources
- ✔Easy handover with playbooks and training
- ✔Upgrade path into the enterprise stream
Secured Production ready AI Agents
For Enterprises
Production-ready Amazon Bedrock agents with secure data pipelines, AWS-native architecture, and governance embedded from day one.
- ✔AWS-native reference architecture (Lambda, Step Functions, EventBridge)
- ✔Private VPC connectivity, KMS encryption, IAM guardrails
- ✔Custom data integrations via Bedrock Knowledge Bases & MCP
- ✔Compliance-ready logging with CloudWatch, CloudTrail, and audit packs
- ✔Human-in-the-loop reviews and quality evaluation harnesses
- ✔Production support SLAs and continuous optimisation
Weeks to Launch (Startup)
AI developers Available
AWS Bedrock Skilled
Support
AI Agent Development Workflow
A proven AWS-native framework to move from prototype to production with speed, governance, and scale.
1. Discovery & Alignment
We begin with structured workshops to define objectives, data boundaries, and LLM applicability. Deliverables include RACI charts, success KPIs, and architecture drafts for leadership visibility.
2. Rapid Prototyping
Using Make.com or n8n, we validate core agent logic, prompt design, and response accuracy—minimizing engineering overhead and enabling fast ROI testing.
3. AWS-Native Build
Once validated, workflows are translated into secure AWS architecture—leveraging Bedrock, Lambda, Step Functions, S3, and DynamoDB for high availability and private VPC control.
4. Evaluation & QA
Agents undergo red-teaming, drift analysis, and accuracy validation using Bedrock Guardrails and human-in-loop review to ensure alignment with enterprise policies.
5. Optimization & Scaling
Continuous improvement via CloudWatch metrics, retraining pipelines, and performance tuning. We track latency, cost-per-interaction, and success outcomes across environments.
Conversation & Prompt Design
Reliable agents start with intentional instructions.
We translate your subject-matter expertise into reusable prompt patterns. Every prompt is versioned, evaluated, and aligned to measurable outcomes—whether it powers a Make.com automation or an enterprise Bedrock service.
- Operating Guidelines: Define behaviour, tone, escalation rules, and compliance boundaries.
- Reference Examples: Annotated transcripts that shape the agent toward expected answers.
- Reasoning Frameworks: Structured steps the model can reliably follow for complex tasks.
- Output Templates: Deliver structured JSON, tables, emails, or briefs tailored to workflows.
- Safety Controls: Redaction, refusal triggers, and human review for sensitive scenarios.
Example: Structured Bedrock prompt payload
const prompt = {
system: "You are an expert analyst...",
context: // Curated knowledge via MCP tools,
examples: [
// Few-shot learning
],
constraints: {
format: "json",
max_tokens: 2000
}
};Expect 20–50 iterations with quantitative and human evaluation before sign-off.
AI Agent Development Workflow
From concept to enterprise-ready deployment — designed for speed, compliance, and scalability on AWS Bedrock.
Idea to Prototype
Turn raw ideas into validated AI prototypes using low-code tools and rapid experimentation.
Discovery & Scope
Workshops to define value propositions, user journeys, and AI-assisted opportunities with measurable KPIs.
Workflow Mapping
Visualize automation flow using tools like Make.com or n8n to test logic and LLM fit.
Prompt Engineering
Design reusable prompt templates and validation datasets for accurate agent reasoning.
Prototype Build
Integrate APIs, build conversational logic, and connect simple webhooks to validate end-to-end flow.
Testing & Review
Run user acceptance tests, capture insights, and define migration scope to AWS-native architecture.
Prototype to Production
Scale your validated agent to enterprise-grade security and governance with AWS Bedrock.
AWS Architecture Setup
Deploy Bedrock, Lambda, Step Functions, and DynamoDB with secure IAM roles and private VPC configuration.
Integration Layer
Connect Bedrock agents to internal APIs, S3 data, and event-driven workflows through EventBridge.
Security & Compliance
Apply IAM least privilege, KMS encryption, CloudTrail audit logs, and AWS Config policies for compliance readiness.
Evaluation & Monitoring
Use CloudWatch and Bedrock logs for continuous improvement, prompt drift detection, and ROI tracking.
Operate & Optimize
Handover production runbooks, automated scaling policies, and retraining pipelines for sustained efficiency.