How long is a typical engagement?

PUSH is two hours, free. Gen AI Delivery Lab is eight to twelve weeks fixed scope. Most customers qualify the bet first via PUSH or a workshop, then commit to a Lab engagement.

What does the team shape look like?

The Lab runs as a five-to-seven-person pod: solution architect, two Bedrock engineers, an evaluation specialist, a governance lead, and an AK Way practice owner for the Agentic Boundary Controls.

Do we need to already be on AWS?

The Lab targets AWS for orchestration and governance (Bedrock, AgentCore, Guardrails, Step Functions, IAM). PUSH and the workshops are cloud-agnostic.

How does pricing work?

PUSH is free. Lab engagements are fixed scope per agent pattern. AWS AI Services Competency partner funding offsets qualifying engagements.

What does success look like?

Bounded agents pass first audit review, OWASP Agentic Top 10 controls live, full chain of custody on every PR. Median outcome: agents running in your AWS account, governed by your IAM, audited by your team.

AI Transformation | Production AI on AWS Bedrock

A Leading smart kitchen appliance brand

AI cook-time prediction shipped

Case study

Product Manager

A Leading smart kitchen appliance brand, United States

We were impressed by Armakuni's level of engagement and the personal attention we received throughout the entire project. Their regular updates, demos, and willingness to brainstorm made it clear how invested they were in the work. It was enlightening to see their process and approach. Not only were they enthusiastic about the technical challenges of the problem, but they also constantly kept the end user experience in mind. Overall, it has been a pleasure working with Armakuni!

A Chicago based media archive and licensing company

Agentic AI in content pipeline

Case study

AWS Account Manager

A Chicago-area media archive and licensing company · Brittany Bonar

I wanted to send a huge thank you for your tremendous partnership with A Chicago-area media archive and licensing company. We went from an intro call with their VP of Technology, having never spoken to the customer before, to MAP Lite funding approved and a Gen AI POC in motion, all in under two months. It was a truly bar-raising partnership. Can't wait to continue working together on A Chicago-area media archive and licensing company Group and many more customers to come\\!

Leading Canadian InsurTech SaaS platform

AI-powered legacy extraction

Case study

GM and VP, Leading insurance broker management system provider in Canada

Leading insurance broker management system provider in Canada · Dimitrios Argitis

It was very easy to be engaged. I was very impressed because I felt like we were moving forward with very good discussions, very smart people, and a lot of empathy and care. Of course, I'm also putting forward people whose expectations I'm trying to manage and how they see this. So yeah, I would agree, wonderful team for sure.

One of the largest cinema networks in the U.S.

AI on the contact centre

Case study

Senior Manager, Application Integration, One of the largest cinema networks in the U.S.

One of the largest cinema networks in the U.S. · Matt Suckel

Kudos to Armakuni for demonstrating the speed, precision, and partnership needed to turn a high-speed challenge into a success story.

Agents aren't assistants anymore. They run the operation while your team sleeps.

What investing in AI means depends on whether you've shipped one agent or fifty. We have a lane for each.

Adding AI to a broken system multiplies the breakage. We build the orchestration layer that makes agents safe to ship on AWS.

Five gates between a promising agent and a production incident. PUSH closes each one before code ships.

Qualify the bet

Map the boundary

Build on the Lab template

Govern in production

Track what matters

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

Workshops qualify the bets.|The Gen AI Delivery Lab ships them.

Six workshops, ordered by maturity.|The right agent in production starts with the right qualification.

Agentic AI lands first where twenty humans work the same case today and every output is already auditable by the regulator.

How we helped real customers ship AI on AWS.|Three engagements. Specific outcomes.

Real outcomes, real customers

Where this lands by sector

How we think about modernization

Named on the SOW. Specialized where it matters.

What CIOs ask before booking a Discovery Sprint.

One 30-minute call to qualify which AI bet to fund first.