30/20 IES · 30/20.AI

Converting technology intent into business outcomes.

30 years of engineering. 20 years of industry depth. Principal consultants who translate intent at any level of complexity — from AI architecture and custom builds to the AI General Manager who owns your agenda end to end.

What is Intent
Engineering?

The discipline of translating business intent — goals, constraints, and context — into precise, buildable specifications that teams and AI systems can execute without ambiguity. Capture intent, engineer the spec, deliver the outcome.

1

Capture Intent

Elicit goals, constraints, and context from stakeholders.

2

Engineer the Spec

Translate intent into precise, testable specifications.

3

Deliver Outcomes

Build and validate systems that match the original intent.

4

Govern

Architecture and guardrails that keep AI accountable.

5

Scale

Compounding value as intent is built into the org.

What we
do

The full arc of AI delivery, anchored by a senior operator accountable for outcomes — built on three decades of enterprise software, cloud, and data engineering.

i.AI General Manager

A senior operator who owns your AI agenda end-to-end — from architecture to governance. The AI General Manager is the single accountable point for turning your AI ambitions into shipped, governed, measurable systems, aligning intent and detail across the whole engagement.

  • AI architecture
  • AI (custom) builds
  • AI development
  • AI engineering
  • AI governance
  • AI general management

ii.AI Architecture & Custom Builds

We design and build production AI the way you'd build any critical system. Custom software development addresses the operational challenges off-the-shelf tools can't, and we implement DevOps and CI/CD pipelines that reduce time to market while improving quality and reliability.

This is where our application modernization heritage lives now: legacy systems renewed as scalable, secure, AI-ready software — built with AI-accelerated engineering that delivers in weeks what once took quarters.

Client engagements
Built a cloud-based staffing platform for a healthcare staffing agency with real-time SMS integration.
Modernized ERP access for a large manufacturer with secure web and mobile interfaces.
Led an application rationalization initiative for an academic medical center, evaluating systems across all departments.

iii.AI Engineering & Integration

The engineering backbone beneath the AI: scalable, high-performance architecture, seamless integration across your software, data, and cloud platforms, and the monitoring to know it is all working. We bring deep cloud and infrastructure experience to make AI systems reliable at enterprise scale.

Where traditional infrastructure consulting once stood alone, that discipline now serves the AI agenda — cloud architecture, data foundations, and observability in service of systems that ship and stay up.

Client engagements
Built the cloud and infrastructure design for an enterprise migration of an Electronic Health Record system to AWS — the first EHR migration to AWS of its kind.
Led comprehensive IT modernization for a financial services company — dual cloud strategy (AWS/Azure), Nutanix private cloud, and Agile/DevOps adoption.
Introduced Snowflake Data Warehouse as a Service for a large food distributor — 2x performance at significantly reduced cost.

Why
30/20.AI

Senior teams who deliver rapidly without ramp-up or overhead, shaped to your org, stack, and pace.

30 years
Deep technical experience
20 years
Industry vertical experience
Weeks
Not quarters, to value

Care & Nuance

Principal consultants aligning intent and detail end to end.

Enterprise Quality

Built to perform and scale to the highest enterprise standards.

Speed to Value

Senior teams deliver rapidly, without ramp-up or overhead.

Flexible Engagement

Shaped to your org, stack, and pace, then aligned to your goals.

Translate your intent into outcomes.

Principal consultants who translate intent at any level of complexity. Bring us the goal; we'll engineer the path to it.