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Two hours of governed AI modernization on a real codebase, with every enforcement mechanism visible.

Not a presentation about methodology. A live modernization session on a real legacy codebase, with the orchestration layer wired in and the guardrails switched on. AI agents from AWS Q Developer and Claude take on a refactor. Test contracts catch flaws before the PR opens. The governance layer steps in when an agent tries to exceed its scope, and DORA metrics move on screen while it's happening. Two hours, with every enforcement mechanism visible so you can decide whether the approach fits what you're modernizing.

2 hours Free Live modernization TDD + governance visible Virtual

Speed and governance only matter together. In two hours we run both, live, on a real codebase.

Two hours decide whether the approach fits your codebase. You watch AWS Q Developer and Claude refactor a real legacy service with test contracts checked on every PR, boundary controls bounding every agent action, and DORA metrics moving live on screen. When the agents succeed you see the mechanism. When they fail you see the safety net catch them before the change ships.

0x
More vulnerabilities

AI-generated code contains 2.74x more vulnerabilities without test-first discipline. You'll see TDD catch one live.

Veracode 2025

0%
Boundary violations

80% of companies with AI agents have had boundary violations. You'll see the governance layer prevent one.

Strata 2026

0x
Deploy frequency improvement

4.2x improvement in deploy frequency, DORA baseline to exit. You'll see metrics move during the session.

Armakuni engagement data

Five sessions. One live modernization.
Governance you can watch.

0:00 – 0:20 · 20 min

Why AI modernization without engineering discipline fails

The specific failure modes: vulnerability compounding, coupling cascades, governance gaps. The research behind the AK Way approach.

0:20 – 1:00 · 40 min Live Demo

Live modernization with governed agents

AK Way foundation: test contracts written, architecture boundaries set, observability instrumented
AI agents generate code: AWS Q Developer and Claude producing modernization artifacts
TDD catches a failure: agent-generated code fails a test contract, PR blocked automatically
Governance layer stops a boundary violation: agent tries to access a service outside its scope, the enforcement mechanism kills it
Audit trail: every agent action logged, traceable, auditable
DORA metrics update: deploy frequency and lead time visible in real time
1:00 – 1:20 · 20 min Live Demo

The governance layer deep dive

How agents are scoped and bounded
How Canvas Go/No-Go gates work in practice
How the layer deploys in your AWS account
What transfers to your team and what it looks like to operate day-to-day
1:20 – 1:40 · 20 min

Apply what you've seen to your codebase

Facilitated session. Which services would you modernize first? Where are the governance requirements? What does your DORA baseline look like today?

1:40 – 2:00 · 20 min

Open Q&A + path forward

Compass as the starting point if you haven't assessed your codebase yet. MAP funding eligibility. Evolve engagement scoping if the workshop convinced you.

Six things you've seen with your own eyes.
Not promises. Mechanisms.

01
TDD catching an AI-generated failure, live

An agent wrote code. The test contract caught the flaw. The PR was blocked. You saw the mechanism that makes AI code generation safe. Not theory. Not slides.

02
Governance stopping a boundary violation, live

An agent tried to exceed its scope. The layer stopped it. You saw governance as running infrastructure, not a policy document someone wrote and no one reads.

03
DORA metrics moving during the session

Deploy frequency, lead time, change failure rate. You'll see the measurement mechanism tracking a representative scenario in real time. In a real engagement, these same instruments track your actual codebase over weeks.

04
What transfers to your team

Everything you've seen deploys in your AWS account. It stays when we leave. You own the system that makes governance real.

05
Answers to every technical question

From the engineers who build and operate Evolve engagements. Architecture decisions, governance trade-offs, what works and what's hard. No scripted responses.

06
A clear path forward

Compass first if you haven't assessed your codebase yet, or Evolve directly if you have. MAP funding eligibility. Timeline and scope for your situation.

Four roles. Two hours. Every question answered.

Must

CTO or VP Engineering

The person who decides whether governed agentic modernization fits the organization's risk appetite and delivery goals.

Must

Lead Architect or Principal Engineer

The person who will evaluate whether the governance layer and AK Way practices are technically sound for your codebase.

Must

Security or Compliance Lead

The person who needs to see governance in action: boundary controls, audit trails, OWASP Agentic compliance. This workshop exists for this role.

Recommended

Engineering Manager or Delivery Lead

The person whose team will work inside the system during an Evolve engagement. Seeing it live changes the conversation.

Every consultant has a methodology.
Few can show you the enforcement mechanism running live.
That's what this workshop is.

Recent results

How we helped real customers ship on AWS.

A platform-engineering modernization combining agentic AI with the data layer. Shipped on AWS with full audit trail.
Technical Leadership · Textmunication · SMS campaign automation platform for e-commerce and restaurant brands

Two hours. Real code. Real governance. Free.

A live modernization with governed AI agents. TDD catching failures. Boundary controls stopping scope creep. DORA metrics moving. You'll leave knowing whether this fits your codebase.

Virtual. Free. Your first conversation is with an engineer, not a sales rep.

AWS Premier Tier Services Partner

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