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AI That Works in the Real World
Not demos. Not pilots that never ship.
Production AI systems that drive real business outcomes — built on 17 years of enterprise engineering.
What We Hear Constantly
"The board says we need to adopt GenAI — but where do we start?"
"How do we move beyond a POC and get something into production?"
"My team lacks AI expertise. How do I make sure we're doing this right?"
Whether you're just starting or already scaling...
AI Services For Every Stage
We meet you where you are — and build toward where you need to be.
AI-Assisted Development
Your engineers should be building, not blocked. We embed AI tooling and practices directly into your development workflow — faster cycles, better quality, less drag.
Dev Workflow Assessment
Audit your SDLC for AI opportunities. Find the quick wins.
AI-Assisted Dev Pilot
Instrument a real sprint with AI coding tools. Measure the difference.
AI-First SDLC Rollout
Full implementation across code gen, review, testing, and CI/CD.
Engineering Culture Shift
Embed AI-first practices into hiring, onboarding, and how you define senior.
AI Engineering Coach
Fractional senior AI architect for code reviews, tool evals, and upskilling.
Work Smarter
Custom AI Solutions
You have a problem worth solving with AI. We help you find it, prove it, and ship it — without the POC graveyard.
Use Case Discovery
Identify manual, data-heavy processes ready for agentic automation.
Agentic POC
Build a working prototype against real data. Prove ROI before you scale.
Production Agentic App
Full build with observability, security, cost controls, and MCP integrations
Multi-Agent Expansion
Extend your framework to new use cases, departments, and agents.
AI Architect on Call
Ongoing architecture guidance, agent tuning, and team enablement.
Enterprise AI
AI isn't a project — it's a capability. We help enterprise teams build the systems, culture, and governance to make it stick.
AI Readiness & Roadmap
Enterprise-wide assessment: data maturity, security posture, prioritized roadmap.
Enterprise Tool Pilot
Evaluate and pilot enterprise AI platforms. Assess MCP compatibility.
Platform Rollout
Full deployment with training, adoption programs, and governance frameworks.
AI-Native Operations
Cross-department adoption. Custom agents. Continuous cost and security optimization.
Strategic AI Advisor
Ongoing executive guidance: vendor evaluation, build-vs-buy, AI governance.
We've delivered across all three tracks.
Here's the proof.
Agentic order support
HARMAN / Samsung
Support and finance teams were buried in manual lookups across OMS, ERP, and ecommerce systems. We built a conversational agentic application that pushes stuck orders through — automatically.
Contract to production: 8 weeks
FDA/FTC compliance automation
Click Bank
24–36 hour compliance review cycles were a growth bottleneck. We built a live GenAI system that automates routine checks, flags edge cases, and frees reviewers for the hard calls.
8 fewer reviewers needed.
90% faster vendor feedback.
Conversational AI outbound calling
LoadScout
Matching independent drivers to freight loads required manual outreach at scale. We built a conversational AI calling platform on Amazon Connect and Bedrock.
MVP delivered in 6 weeks.
Where Are You On The AI Journey?
Most teams are operating at L2 or L3.
We help you get to L4 — supervised execution that scales.
1
Static Workflow
Simple logic. Rigid and fragile. No reasoning, just execution.
2
Basic Responder
Infers intent, generates dynamic responses from data and context.
3
Basic Executor
Equipped with tools — picks the right one to find data and suggest actions.
5
Fully Autonomous
Without an external trigger, performs exploratory research and execution.
4
Supervised
Execution
Observes events, creates a plan, iterates, and executes. Human stays in the loop.
Most production AI systems worth building live at L4.
We design for that level from day one — not as a future upgrade.
How We
Work
AI amplifies what's already there. Strong fundamentals are the prerequisite — not an afterthought.
START WITH THE RIGHT PROBLEM
We don't do AI for AI's sake. Before writing a line of code, we identify where you have the data, the labor cost, and a clear path to ROI. The wrong problem is the most expensive mistake in AI.
INTERNAL USERS FIRST
De-risk before you scale. Starting with internal teams lets you validate the system, build confidence, and create real momentum — before you put it in front of customers.
PRODUCTION - READY FROM DAY ONE
Observability, cost management, security, and performance aren't things we bolt on at the end. They're built in from the start. That's why our systems stay live.
Our Offerings
Leadership wants AI progress. You don't want to waste budget on a demo that never ships. Our Accelerator takes you from concept to a live, validated system in six weeks — using AWS cloud funding to reduce your risk. You'll either have something in production or know exactly why you shouldn't build it.
Not ready to hire an AI architect full-time? We embed senior expertise directly into your team — guiding technology choices, reviewing architecture, Cand keeping your build on a sound foundation.
