Now taking clients — Washington DC Metro Area

We build AI systems
that work for you.

Custom Bedrock agents, RAG assistants, and automation pipelines — designed around your workflows, deployed in your AWS environment.

AWS Bedrock Native Your Data Stays Yours English & Spanish Washington DC Metro Federal & SMB Experience
See What We Build Start a Conversation
20
Years Enterprise Experience
4
Use Cases Ready to Deploy
100%
Your Data, Your Account
2
Languages — EN & ES

The Process

From conversation
to production.

01

Discover

We spend 30 minutes understanding your workflow — no slides, no pitch. Just a real conversation about where your biggest bottleneck is.

02

Design

We map the agent architecture, data sources, and AWS services required for your use case — and tell you exactly what it will take to build it.

03

Build

We build, test, and iterate in your AWS account — you own every line of code and every resource from day one. No lock-in, no black boxes.

04

Deploy

We ship to production and hand over runbooks, architecture diagrams, and monitoring dashboards — so your team can operate and extend the system on their own.

What We Build

AI that solves a specific problem.

Every system starts with a real workflow, a real bottleneck, and a clear outcome. Here are the four we deploy most.

🧠 Document Intelligence
The Company Brain
Years of SOPs, contracts, and manuals locked in a file share — staff search for hours. We build a RAG assistant on Bedrock Knowledge Bases that answers questions from your own documents instantly, with citations. Any employee, any device, plain English.
Bedrock Knowledge Bases S3 Lambda
🤝 Customer Intake
The First Meeting Agent
Leads go cold waiting for a callback; your team wastes 30 min qualifying prospects who aren't a fit. We deploy a Bedrock Agent that conducts a structured discovery conversation, qualifies the lead, and delivers a brief to your inbox — available 24 / 7.
Bedrock Agents API Gateway SES
⚙️ Operations Automation
The Workflow Agent
Back-office staff manually process field reports, emails, and voicemails into work orders, schedules, and customer notifications. We wire a Bedrock Agent into your input channels — it extracts structured data, triggers downstream actions, and notifies customers automatically.
Bedrock Agents Step Functions Transcribe
📊 Performance Reporting
Automated KPI Reports
Your ops manager compiles the same metrics spreadsheet every Monday from three different systems. We build an EventBridge-triggered pipeline that pulls your data, has Bedrock write a narrative summary with anomaly callouts, and delivers it to the right inboxes automatically.
Lambda EventBridge Bedrock SES

Why AWS Bedrock

Enterprise-grade AI built into your existing AWS footprint.

🔒

Your data never leaves your account

Bedrock runs inside your AWS VPC. Your documents, prompts, and completions stay in your environment — not in a shared model provider's logs.

🔗

Native AWS integration

Bedrock connects directly to the services your business already uses — S3, DynamoDB, Lambda, EventBridge, SES. No middleware, no glue code, no extra vendor.

🤖

Multi-agent orchestration with Bedrock Agent Core

Bedrock Agent Core lets you build systems where multiple specialized agents collaborate — one retrieves, one reasons, one acts. That's how complex workflows get automated at scale.

About

Built by a practitioner.

T
Tony
AI Solutions Architect · AWS Bedrock Specialist · Bilingual

Tony brings nearly two decades of enterprise and federal IT experience spanning cloud architecture, infrastructure engineering, and large-scale systems integration in regulated and government environments. He is currently architecting production-grade agentic AI systems in an active federal context — Bedrock agents, RAG pipelines, and automated workflows built to the standards that regulated industries demand.

Bilingual (English/Spanish) with deep roots in the Washington DC Metro area, Tony works directly with SMBs and government-adjacent organizations to move AI from conversation to production — no hand-waving, no vendor lock-in, just systems that run.

Anthropic Claude AWS Bedrock Bedrock Agent Core Agentic AI Bilingual (EN/ES) DMV-Based

FAQ

Common questions.

What kinds of businesses do you work with? ▾
Primarily SMBs and government-adjacent organizations in the Washington DC Metro area — professional services, field service companies, federal contractors, healthcare-adjacent, and any business sitting on years of untapped document or operational data. We also support Spanish-speaking business owners in the DMV region.
Do we need to already be on AWS? ▾
No. We can work with organizations at any stage — from those with an existing AWS footprint to those evaluating cloud infrastructure for the first time. We'll assess your current setup during the discovery call and recommend the right path forward.
How long does a typical engagement take? ▾
A discovery and design sprint is typically 1–2 weeks. A focused build engagement (single use case) runs 4–8 weeks. Larger multi-agent systems or ongoing retainer work varies by scope — we'll give you a realistic timeline after the first conversation.
Who owns the code and the data? ▾
You do — completely. Everything is built inside your AWS account. We don't retain access after handoff, and there's no ongoing dependency on us to keep the system running. That's a deliberate part of how we build.
Do you offer support after the system is deployed? ▾
Yes. We hand over complete documentation and runbooks at deployment, and we offer optional retainer arrangements for ongoing support, model tuning, and system expansion as your needs grow.

Book a discovery call.

30 minutes. We'll map your biggest automation opportunity and tell you exactly what it would take to build it. No pitch, no commitment.

Request a Call

Work With Us

Let's build something
that actually runs.

We design and deploy production-grade AI systems on AWS Bedrock — built inside your account, owned by you, operated by your team. Every engagement starts with a 30-minute discovery call where we map your workflow, identify the right use case, and tell you exactly what it takes to build it.

Build a custom Bedrock agent End-to-end design and deployment of an agentic AI system on your AWS infrastructure — from architecture to production handoff.
RAG / Document intelligence system Connect your existing documents, manuals, and records to a Bedrock Knowledge Base so your team can query them in plain language.
AI strategy & architecture review Assess your current stack, identify the highest-ROI automation opportunities, and define a prioritized build roadmap — before committing to a full build.

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