AI is now a system that operates, not a tool that helps. The Gen AI Delivery Lab deploys agents at scale on AWS with the speed, ROI discipline, and governance to make them last.
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 infrastructure you own. Bedrock AgentCore, Step Functions, IAM, CloudWatch, Audit Manager. Deployed into your AWS Organisations under your IAM, your governance, your audit trail. When the engagement ends, your engineers have the repo, the runbooks, and the commit history.
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.
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.
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.
Your modernization can't start with assumptions. Compass scans your entire portfolio and gives you the picture nobody else has built: what's in there, what it costs you, and what's ready for AI.
Output: a sequenced roadmap built from data, not opinion.
Evolve executes Compass's roadmap. AK Way practices first, agentic orchestration second, then governed AI agents modernize your environment in priority order.
The orchestration layer stays in your AWS account when we leave. Yours outright.
Where to start, what to qualify, how to govern. Two-day workshop for execs and engineering leaders. Walk away with a portfolio view of which AI bets are ready to ship and which need foundation work first.
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. Walk away with a qualified backlog: which bets ship now, which need foundation work, which to retire. Half-day for executives + engineering leads.
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. Evolve has modernized claims, scheduling, and EHR-adjacent systems 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 Evolve agent touches a service that talks to the shop floor.
Billing stacks that cannot go dark. Evolve targets the adjacencies first, strangles the core last, and keeps the whole carrier graph visible in CloudWatch the entire time.
Award-winning LMS provider for enterprises and mid-size organizations earned C-Suite trust on a regulated edtech platform with the AK Way governance documented for the regulator.
Read use case →Gavel modernised a live video auction platform with microservices migration and multi-gateway payments shipping in production.
Read use case →One of the largest US payment technology and prepaid solutions companies rebuilt a GLBA- and HIPAA-compliant document platform with policy-as-code on every AWS service.
Read use case →One of the largest cinema networks in the U.S. turned a high-speed application-integration challenge into a success story with AK Way speed and partnership.
Read use case →SMS campaign automation platform for e-commerce and restaurant brands shipped governed agentic modernization with the orchestration layer transferred to their team on exit.
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 modernization 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.