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AWS Premier Partner · AK Way PODs

AI raised the ceiling on what teams ship. Most enterprises never raised the floor underneath.

Capacity isn't the constraint anymore. Discipline is. Armakuni Pods are 12-week fixed engagements: named senior engineers embed in your repos, ship the AK Way practices into your team, and leave the IP behind.

Product engineering on contract. Named senior engineers, fixed scope, IP owned by your team on exit.

Trusted by teams shipping on AWS

Hyundai Glovis logo Pixis logo Ethisphere logo GORUCK logo PublicRelay logo Sweet Analytics logo Hyundai Glovis logo Pixis logo Ethisphere logo GORUCK logo PublicRelay logo Sweet Analytics logo
The Core Insight

Drop a coding agent into a team without test coverage and the only thing that goes up is incident count.

Most enterprises plug AI into the same engineering practices that produced the technical debt they're trying to escape. The result: more code, more incidents, more outages. AK Way PODs ship the practices first, the AI second.

4.2x
Deploy Frequency Lift

Median deploy frequency from baseline to exit across recent POD engagements. DORA-tracked, sprint-by-sprint.

Armakuni POD outcomes
12wk
Fixed-Scope Engagement

PODs run for 12 weeks. Fixed scope. Fixed price. Fixed handover. No staff-augmentation drift.

POD engagement model
100%
IP Transfer at Exit

Code, runbooks, observability dashboards, AK Way playbook. Everything stays with your team when the POD leaves.

Handover contract
The Reframe

We sell the engineering discipline still running the day we leave. Twelve weeks fixed, IP and runbooks transferred.

AK Way PODs ship the five engineering practices that make AI agents safe to deploy: Quality Gates, Clean Architecture, Observability, Boundary Controls, DORA Metrics. Your team learns them by working alongside ours.

The POD is infrastructure you keep. AK Way playbook, observability dashboards, IaC, runbooks, post-mortem templates, on-call rotation. Deployed into your repos under your governance. When the engagement ends, your team has the practices, the tools, and the muscle memory.

The AK Way

Five engineering practices. Each one moves a DORA metric we can show you on day 90.

The AK Way is the operating model that decides whether AI makes your team faster or just buries them in code to debug. Pods ship the practices first, then add the AI.

Automated Quality Gates
Clean Architecture
Observability
Agentic Boundary Controls
DORA Metrics
Practice 01

Automated Quality Gates

AI agents generate code at speed. Without test-first discipline, that speed produces untested artifacts your team inherits as risk. Every AI-generated function must pass a test contract before it reaches a branch. The test exists before the code does.

Practice 02

Clean Architecture

Your legacy systems weren't designed for agents to operate on. Clean architecture maps the environment so agents operate within defined scopes. Your team stops discovering surprise dependencies in production.

Practice 03

Observability

Agents that operate without traces are agents your team can't debug. Observability instruments every action across every agent in the pipeline. When something breaks, the trace shows exactly what happened.

Practice 04

Agentic Boundary Controls

Ungoverned agents with production access are the single biggest risk in agentic delivery. Boundary controls enforce bounded authority, audit trails, and human approval gates.

Practice 05

DORA Metrics

Without measurement, you can't tell improvement from activity. DORA metrics baseline your team's delivery performance on day one and track it continuously. PODs are accountable to the numbers.

What Runs Inside the POD

Six AWS services do the heavy lifting. Your team learns the ones they didn't already know on the way in.

The POD wires AWS primitives you are already paying for into a single governed flow. No new runtime. No new vendor. The IP transfer happens because your engineers learn by building alongside ours.

Bedrock AgentCore
Bedrock AgentCore

Runs every code-author, test-author, and review agent. Scoped per task, logged per invocation.

Claude · Q Developer
Q Developer
Q Developer

IDE-resident AI pair-programmer wired to your codebase, your patterns, your security policies.

IDE-native · Per-PR review
Kiro Agent
Kiro Agent

Long-running task agent for refactors, migrations, and bulk-edit work. Step Functions orchestrated.

Long-running tasks
Bedrock Guardrails
Bedrock Guardrails

PII filters, secret detection, prompt-injection blocking on every model call. Policy, not prayer.

OWASP ASI01 / ASI06
CloudWatch + X-Ray
CloudWatch + X-Ray

Every agent decision and tool call streamed to one log group. Query the chain of custody in seconds.

Full trace per PR
IAM + SCPs + Control Tower
IAM + SCPs + Control Tower

Least-privilege per agent, SCPs at the OU level, Control Tower baseline everywhere.

OWASP ASI02 / ASI03
What customers say
Full-stack modernization pod
Case study
Growth Engineer, A high-growth event management SaaS platform
A high-growth event management SaaS platform · Dani Amsalem

The entire team is great at understanding what I'm looking for and at communicating challenges so we can work out a good solution. If I provide a technical requirement, I know it will get done. I'm not seeing any loose ends. That's a wonderful relief for me knowing that I can trust you guys to get the job done well. It's due to Armakuni's competence that Rob and I are looking forward to Phase 2.

A large Medicare Advantage enrollment BPO
PHI-regulated Connect platform
Case study
Ross Rafferty Vice President Data Analytics & AI A regulated Medicare insurance enrollment and engagement company, vp at A regulated Medicare insurance enrollment and engagement company
What shipped
A regulated Medicare insurance enrollment and engagement company · Healthcare

600 agents operating with improved stability, advanced Connect capabilities, and release governance. Frequent bugs, uncontrolled releases, and missing platform features are being addressed systematically. CI/CD pipelines, PR workflows, and a PHI-compliant deployment model are in place for the first time.

60% revenue lift on a live platform
Case study
What shipped
Gavel · Live commerce

95% reduction in downtime across live auction events, so the platform stays available through the moments that drive revenue rather than failing exactly when bidders are most engaged

One of the largest US payment technology and prepaid solutions companies
GLBA + HIPAA document platform
Case study
What shipped
One of the largest US payment technology and prepaid solutions companies · Financial Services

Four intake channels collapsed into one governed system. Email, fax, encrypted uploads, and paper all enter the platform now. Operations staff work from one interface. Document intake is observable, consistent, and auditable from day one of production.

Real-time vehicle tracking portal
Case study
What shipped
Hyundai Glovis · Automotive logistics

45% increase in on-time vehicle deliveries through real-time visibility, automated exception alerts, and proactive carrier coordination, replacing the reactive model where delays were discovered only after they had already cost the customer

The Payoff · POD Engagement Timeline

Twelve weeks. Fixed scope. DORA metrics moving from week one.

Median outcomes across recent POD engagements where teams ran the AK Way practices and the orchestration layer was deployed in their AWS account.

Week 1
Baseline measured
DORA metrics + observability instrumented
Week 4
AK Way practices live
Quality gates, clean architecture, boundaries
Week 8
Agents in PR review
Q Developer + Kiro shipping inside the POD
Week 12
IP transferred
Repo, runbooks, dashboards, playbook
What PODs Build

Every pod ships two AK Way products: the AI Build System and the Architecture & AI Code Reviewer. Both wired to your codebase.

AI-assisted product delivery · 12 weeks

AI Build System

A POD-deployed agentic build system that lives in your repos. Q Developer for IDE-resident pairing, Kiro for long-running refactors, Bedrock for code-review automation. Every PR carries an audit trail.

Output: a working AI build system inside your AWS account, with your engineers operating it.

AI Build System: POD-deployed agentic build in your repos

What AI Build System delivers

Inside your repos. Q Developer wired to your patterns, your security policies, your code-review checklist.
Long-running tasks supported. Kiro handles bulk refactors, migrations, dependency upgrades. Step Functions keeps the runtime auditable.
AK Way enforced. Quality gates, clean architecture boundaries, observability instrumentation. The system can't bypass them.
Architecture + AI code review · 12 weeks

Architecture & AI Code Reviewer

A second-agent review layer. Every AI-authored diff passes a Bedrock-powered architectural review for OWASP Agentic Top 10 compliance, then routes to a human reviewer with the analysis attached.

Output: 2.74x fewer CVEs in AI-authored code than human-only review catches.

Architecture & AI Code Reviewer: Bedrock-powered review gate on every AI diff

What Architecture & AI Code Reviewer delivers

OWASP Agentic Top 10 controls. Excessive Authority, Agent Hijacking, Cascading Hallucinations, Memory Poisoning, Tool Misuse mapped to specific reviewer rules.
Two agents per PR. Author agent and reviewer agent. Different prompts, different models, different rule-sets.
Human-in-the-loop preserved. The reviewer doesn't replace the human approver. It accelerates them with structured analysis.
Workshops · Try the POD pattern first

Two workshops, half-day each.|See AK Way and the AI Code Reviewer in action.

AI Agents + AK Way workshop
AI Agents + AK Way

Half-day hands-on workshop where your engineers build a Q Developer agent against your real codebase, instrument it with AK Way observability, and ship it through the quality gates.

Walk away with
  • A working pattern
  • The AK Way playbook
Half dayFree
HALF DAYFREEHANDS-ON
Security for product teams
Security for Product Teams in the AI Era

Half-day workshop on the OWASP Agentic Top 10 applied to product engineering. Bring an existing AI feature you've shipped or are planning to ship.

Walk away with
  • A security review
  • A remediation plan
Half dayFree
HALF DAYFREESECURITY REVIEW INCLUDED
Recent Results

How POD engagements landed in real codebases.|Three engagements. Specific outcomes.

More customer stories
Continue exploring
AWS Premier Tier Services Partner

Named on the SOW. Specialized where it matters.

Active AWS competencies and service-delivery designations behind AK Way pod engagements.

AWS
Premier
GenAI
Comp.
Migration
Comp.
DevOps
Comp.
Well-Arch.
Partner
EKS
Delivery
Lambda
Delivery
CFN
Delivery
+30 more
Migration and Modernization DevOps Consulting Competency Amazon EKS Delivery AWS Lambda Delivery AWS CloudFormation Delivery
Common questions

What CIOs ask before booking a Discovery Sprint.

How long is a typical engagement?
A POD runs as a rolling 12-week sprint with both AI Build System and the Architecture & AI Code Reviewer in place by week three. Capacity is 250+ engineering hours per month, sized to your codebase complexity. Most customers extend on a quarterly cadence once the first sprint ships.
What does the team shape look like?
A POD is five to seven people: solution architect, two senior engineers fluent in Q Developer and Kiro, a Bedrock specialist for the agentic build layer, an AK Way practice owner for the boundary controls, and a DevOps engineer who owns the CI/CD wiring. Sized to your codebase complexity, not bench utilization.
Do we need to already be on AWS?
The AI Build System deploys into your AWS account: Bedrock AgentCore for the build agent, Q Developer in the IDE, Kiro for long-running refactors, CloudWatch and X-Ray for the audit trail. Your repos and code stay where they are; we extend the CI/CD wiring rather than replacing it.
How does pricing work?
Pods are quarterly retainers at a fixed monthly fee, with capacity declared up front (250+ engineering hours per month per pod). No multi-year commit and no ramp tax: the same pod composition that ships in week one is what you keep.
What does success look like?
Median outcomes from recent POD engagements: 2.74x fewer CVEs in AI-authored code versus human-only review, deploy frequency and lead-time-for-changes both moving by week six, and OWASP Agentic Top 10 controls in place before the first agent ships to production. Tracked against your baseline DORA metrics from day one.
Discovery

Show us the product.|We'll show you what a POD does to your DORA metrics.

Two-week scoped Discovery: we baseline your DORA metrics, audit the engineering practices, and propose the POD shape. Fixed fee. The output is a 12-week POD plan with measurable targets.

For your CTO/COO
Book a Discovery Sprint
For your engineering lead
Contact us

Your first conversation is with the solution architect who would run the engagement.