AI Strategy & Implementation

AI that actually moves your business forward.

We help growing companies identify where AI fits, design the right solution, and build it — fast. Enterprise-grade engineering, without the enterprise price tag.

Start a Conversation See What We Do
Claude + tool use for agentic workflows
Deployed on Vercel in weeks, not months
khoda-agent · live session
agent running
$claude.run("check_order_status", { order_id: "FH-1042" })
status: "Out for Delivery"
driver: "Miguel R."
eta: "~8 minutes"
restaurant: "Casa Verde Kitchen"
$claude.run("generate_menu_description", { dish: "Birria Tacos" })
description: "Slow-braised beef birria, rich consommé...
tags: ["fresh", "homemade", "Mexican"]
$
4–6wk
Typical delivery timeline
5+
AI products shipped
~65%
Avg. ops time saved
0
Enterprise budget required
Certified Partner
Anthropic Claude Partner
Microsoft AI Cloud Partner
Google Cloud Partner Advantage
AWS Partner Network
OpenAI Partner Program
Services

Two ways we work with you

Whether you need a thinking partner or a hands-on builder — we do both, and one can lead to the other.

AI Build & Implementation

We build it for you.

Have a specific problem eating your team's time? We scope, architect, and ship a working solution — deployed and running in weeks. We cover four core capability areas:

// deliverables
Architecture doc Working code repo Vercel deployment API documentation Handoff session
AI Strategy & Roadmapping

We figure it out together.

Not sure where AI fits? We run a focused discovery and hand you a clear, prioritized roadmap — so you invest in the right things, not the loudest ones.

  • AI opportunity assessment across your business
  • Prioritized roadmap with ROI estimates
  • Build vs. buy guidance — no vendor bias
  • Delivered in 2 weeks, ready for your board
Learn more about AI Strategy →
// deliverables
Opportunity audit Phased roadmap Vendor matrix Effort estimates Executive brief
How We Build

The agentic stack, explained.

Every AI product we build runs on a layered architecture. Here's how the pieces fit together — from your users to the infrastructure underneath.

LAYER 01 Interface & Input How users interact — chat UI, API calls, webhooks, or embedded widgets
React / Next.js UI REST API endpoint Webhook triggers Embedded chat widget Mobile-ready
↓ user input → LLM context
LAYER 02 LLM Reasoning Engine Claude reasons over the request, selects tools, and manages multi-turn state
Claude Sonnet / Opus Tool use API System prompt engineering Multi-turn context Agentic loop Structured output
↓ tool calls → execution layer
LAYER 03 Tool, Data & Integration Layer Serverless functions, data pipelines, ML models, and third-party API connectors
Vercel serverless fns Custom tool definitions Data pipelines / ETL ML model inference Analytics queries CRM / ERP connectors Third-party APIs
↓ results → infra layer
LAYER 04 Infrastructure & Security Zero exposed credentials, edge deployment, env-var key management
Vercel edge network Env variable secrets API key proxy HTTPS everywhere GitHub CI/CD Zero-downtime deploys
Process

Simple. Fast. No fluff.

We don't believe in long onboarding cycles. Here's how we get to work — and what comes out the other side.

// 01

Discover

We spend time understanding your business, your biggest frustrations, and where your team's time goes. A conversation, not a questionnaire.

output
Problem statement doc
Priority ranking
Scope proposal
// 02

Design

We map the right solution — what to build, what tools to use, what success looks like, and what it will cost. Everything in writing before we start.

output
Architecture diagram
Tech stack decision
SOW + timeline
// 03

Deliver

We build and ship, with you involved at key checkpoints. You get a working product — not a deck about a product — in weeks, not months.

output
Live deployment
Code repo + docs
Handoff session
Real Impact

Before & after we build.

Numbers from Company X — our most recent AI build engagement.

Before
3h
Per day on manual customer support queries
→
After
~12m
Edge cases only — agent handles the rest autonomously
Before
3–4d
To onboard a new restaurant partner to the platform
→
After
<4h
Self-serve onboarding with AI guidance at every step
Before
0
Restaurant owners writing their own menu descriptions
→
After
100%
AI-generated copy, approved by owners in under 60 seconds
Recent Work

Built and shipped.

Not hypothetical — here's what we've actually built, deployed, and handed off.

AI Build — Food Delivery Platform

Company X AI Agent

Company X needed to support restaurant partners and customers without adding headcount. We built a multi-tool AI agent with 5 specialized tools — deployed and live in 6 weeks.

~65%
// tickets_automated
5
// tools_built
6wk
// time_to_deploy
Track order FH-1042
▸ Order Tracker
check_order_status("FH-1042")
Out for delivery — Miguel R., ETA ~8 min. Casa Verde Kitchen.
Write menu copy for Birria Tacos
▸ Menu Writer
generate_menu_description({...})
Slow-braised beef birria, rich consommé, melted Oaxacan cheese — made fresh to order.
Data Pipeline & Analytics — E-Commerce

Company Y Analytics Platform

A growing retailer was spending 3+ hours a week manually pulling reports from 5 disconnected tools. We built a unified data pipeline and real-time dashboard that consolidated everything into one source of truth.

6
// sources_unified
3hrs
// saved_weekly
5wk
// to_deploy
Read the case study →
ML / Predictive Model — Logistics

Company Z Delivery Predictor

A regional logistics operator was losing ~$10k/month to failed delivery attempts. We built a machine learning model that flagged at-risk deliveries before dispatch — so the team could intervene before the cost was incurred.

38%
// failures_reduced
91%
// model_precision
6wk
// to_deploy
Read the case study →
Technology

What we build with.

We pick tools that are production-ready, cost-effective, and maintainable by your team — not whatever's trending on Twitter.

Frontend User Interface Fast, accessible, responsive — built to be handed off and extended
React Vite Next.js TypeScript Tailwind CSS
AI / LLM Intelligence Layer Model selection matched to task — not defaulting to the most expensive option
Claude Sonnet Claude Opus Anthropic Tool Use Agentic loops Structured outputs RAG pipelines
Backend Tool & API Layer Serverless functions that execute business logic and connect your data
Node.js Python Vercel Functions REST APIs PostgreSQL Supabase Webhooks
Data Data & ML Layer Pipelines, models, and analytics built for your specific data shape
dbt Apache Airflow pandas / numpy scikit-learn BigQuery Metabase / Looker
Infrastructure Deployment & Security Secure by default — keys never exposed, CI/CD from day one
Vercel GitHub Actions Env secrets HTTPS / TLS Edge network AWS (when needed)

Ready to stop leaving AI on the table?

Tell us what you're working on. We'll respond within one business day with honest thoughts on whether and how we can help.

No obligation, no sales pitch
Response within 1 business day
We'll tell you honestly if we're the right fit