AI used to be a tool that helped a person finish a task. Now it's a system that runs the task. The Gen AI Delivery Lab ships agents that take work off your queue, governed against the OWASP Agentic Top 10 from day one.
Trusted by teams shipping on AWS
Most enterprises are still treating AI as a tool that helps people. The teams that actually ship treat AI as a system that operates: agents with bounded authority, governed orchestration, audit trails, and ROI tracked sprint by sprint. The gap between those two postures is widening every quarter.
Ninety-five percent of GenAI pilots delivered nothing the CFO could measure. Not because the models failed. Because the codebases and data they operated on weren't ready for them.
Eight in ten organisations with deployed agents have already had boundary violations. Unauthorised access, unscoped mutations, cascading failures. The governance gap is documented and widening.
PUSH framework qualification before any code is written. Six workshops ordered by maturity. The wrong agent in production is more expensive than no agent at all.
Armakuni's Gen AI Delivery Lab builds the engineering foundation first: PUSH-qualified bets, agentic orchestration with OWASP Agentic Top 10 controls, and Bedrock-native governance from day one.
The orchestration layer is yours. Bedrock AgentCore, Step Functions, IAM, CloudWatch, Audit Manager. Deployed under your IAM. Your engineers walk away with the repo, the runbooks, the commit history, and a working agent fleet.
PUSH is how the Gen AI Delivery Lab qualifies bets, builds foundations, ships agents, and holds them accountable. Five gates. No agent reaches production without passing every one.
Most agent ideas die at this gate, and they should. PUSH workshops separate the agents that will ship from the ones that will never recover their build cost. We qualify against ROI, governance fit, and team readiness before any code gets written.
Every agent operates inside a defined authority boundary. Permissions, data scopes, tool allow-lists, escalation paths. Mapped explicitly before the agent ever invokes a model. OWASP Agentic Top 10 controls baked in from day one.
AgentCore + OpenClaw orchestration, Bedrock Guardrails on every model call, Knowledge Bases configured for your data, MCP allow-listed for your tools. Five reference patterns. Pick the one that matches your shape.
Every agent decision streamed to CloudWatch. Every tool call logged. Every model invocation traced. Audit-ready from the first request. The Bedrock Evaluator runs alongside production traffic; drift triggers a human review.
Deploy frequency, lead time, change failure rate, recovery time. Plus agent-specific metrics: tool-call success, escalation rate, hallucination rate. Baselined day one, tracked every sprint, reported to your CFO.
The orchestration layer is thin on purpose. It wires AWS primitives you are already paying for into a single governed flow. No new runtime. No new vendor.
Runs every agent invocation. Scoped per task, logged per call. Anthropic Claude, Titan, plus open-weight models.
Orchestrates multi-agent workflows. State machine on Step Functions. Every transition is auditable.
Your data, semantically retrievable. RAG patterns wired to your S3 buckets, your VPC, your IAM scope.
Allow-listed tools per agent with parameter bounds and rate limits. No agent invokes a tool it wasn't granted.
PII filters, prompt-injection filters, denied-topic policies on every model call. Policy, not prayer.
Production traffic evaluated alongside the live agent. Drift triggers human review. Hallucination rate tracked.
Here's what it built.
Armakuni was a game-changer for Comic Relief; they built us a new donation platform, on time and on budget while also helping us break the GBP 100 million mark for the first time.
HSBC adopted cloud-native delivery through the AK Way. Automated pipelines, continuous testing, and engineering discipline applied at global-bank scale.
JPMorgan Chase is one of five of the world's largest financial institutions Armakuni has delivered AWS engineering work for. Proof the AK Way holds at systemically important scale.
Red Bull is part of Armakuni's media and entertainment portfolio. Proof the AK Way extends beyond financial services into global consumer brands.
Ryno's internal team had already tried and failed to reach production quality on AI call analysis. Armakuni's PoC was production-ready in under two weeks of a four-week window.
Santander transformed its engineering teams through "The Engineering Way." Everything as code, automated testing, and a high-velocity cloud-native delivery force built on the AK Way.
45% increase in on-time vehicle deliveries, replacing a reactive model where delays were only discovered after they'd already cost the customer.
Median outcomes across recent Lab engagements where teams ran the PUSH framework and the orchestration layer was deployed in their AWS account.
Where to start, what to qualify, how to govern. Two-day workshop for execs and engineering leaders.
Hands-on workshop where your engineers build a Bedrock agent against your real data. End the day with a working agent that passes the OWASP Agentic Top 10 controls.
For teams already running OpenAI in production. Half-day workshop covering equivalence testing, prompt migration patterns, and feature-flagged cutover strategy.
Building Knowledge Bases that scale: chunking strategies, retrieval evaluation, per-tenant partitioning, citation patterns. Half-day workshop on real architectures.
OWASP Agentic Top 10, prompt-injection patterns, tool-misuse vectors. Workshop for product engineers shipping AI features. End with a security review of your existing AI surface.
PUSH-driven prioritisation of your AI bets.
Thirty-year COBOL cores, monthly regulator cycles, and an AI roadmap the CTO already signed. The orchestration layer keeps every AI action audit-ready for the PRA, FCA, and SEC.
PHI cannot leave the account. Guardrails and SCPs keep every Bedrock call inside HIPAA boundaries. Lab agents have shipped against claims, scheduling, and EHR-adjacent surfaces without a single cross-account spill.
Peak-season refactors where a bad deploy costs a weekend of revenue. Canary gates inside Step Functions hold agents to the same release calendar your SREs already run.
Systems where a bad change takes a production line offline. Inspector and Config drift checks run before any Lab agent touches a service that talks to the shop floor.
Billing stacks that cannot go dark. The Lab targets adjacencies first, leaves the core untouched until the orchestration layer has proven itself, and keeps the whole carrier graph visible in CloudWatch the entire time.
Leading smart kitchen appliance brand, United States shipped AI cook-time prediction and recipe generation across smart kitchen appliances, with the model evaluator running alongside live traffic.
Read use case →A Chicago-area media archive and licensing company automated metadata tagging and clip discovery on long-form archival video using a Gen AI PoC with audit-ready output.
Read use case →Leading insurance broker management system provider in Canada used AI-powered PDF-to-JSON to extract a 25-year-old VB6 / Citrix platform during an AWS MAP Assess phase.
Read use case →One of the largest cinema networks in the U.S. put AI voice agents and chat automation on Amazon Connect, wired to live data with full observability.
Read use case →A regional agricultural cooperative in the U.S. Midwest deployed OWASP T1-T5 controls-as-code with AgentCore Memory isolation from day one.
Read use case →
Award-winning LMS provider for enterprises and mid-size organizations, the identity platform, One of the largest cinema networks in the U.S., SMS campaign automation platform for e-commerce and restaurant brands. Specific numbers. Named stakeholders.
All case studies →BFSI, healthcare, retail, manufacturing, telco. Constraints by industry. Response by orchestration.
All industries →
Engineering essays, AK Way deep-dives, AWS Premier Partner specializations.
Read insights →Active AWS competencies and service-delivery designations behind Gen AI and agentic work.
Where you are with AI determines what we build first. Two-day PUSH workshop for execs. Half-day technical deep-dive for engineers. Either way, you walk away with a qualified path.
Your first conversation is with the solution architect who would run the engagement.