AK AI SDLC Workshop

AI tooling without an operating-model change is a faster way to ship the same mistakes.

The conversation goes the same way every quarter. The operating partner asks what the AI bill is buying. The CTO points at PR throughput, agentic tool usage, ticket velocity. The number that matters, cycle time on shipped product, looks like it did before. We embed the solution architects who validate, test, and fix what your AI tools produce. That's the work that makes the rest pay back.

FREE AK-LED ONE DAY STAGES 2-4 SWEET SPOTAWS FUNDING ELIGIBLE

Every engineering team using AI is somewhere on this map.
The places teams get stuck are predictable.

Every engineering team using AI sits somewhere between Stage 1 (copy-paste from a chat tab) and Stage 5 (an internal software factory). Two stage transitions stall almost every team that hits them: the move from IDE autocomplete to agentic IDE, and the move from agentic IDE to terminal agents with their own permissions. The workshop names the stage per team, picks the target at twelve months, and walks the two transitions in between.

These aren't ideas. They're shipping. You'd run them inside the engagement.

Four solutions ship in customer environments today. The assessment that prices the tech debt. The orchestration layer that runs the modernization. The reviewer that reads architecture, not style. The deployment pattern for agents you can actually audit. The workshop names which two you'll lean on first.

One day to see it. Under ninety days to install it.

Most engineering teams don't need a six-month roadmap. They need to see the operating model land, watch a sprint run under it, and decide. The assessment is one day. The follow-on workshop is two. The forward-deployed engagement that does the work runs under ninety days, with the duration scoped to the specific stage transition the team is crossing.

Day 1

Assessment workshop

One day, AK-led, AWS-funding-eligible. Maturity-stage diagnosis per team and target stage at 12 months.

Week 1-2

Proposal and SOW

Scoped to the stage transition the team is crossing. Fixed fee. AWS MAP funding applied where eligible.

Week 3-4

2-day AIDLC workshop

Hands-on rollout of the AK Way operating model with the team that will run it. Verification, governance, and review practice installed.

Under 90 days

Forward-deployed engineer engagement

Solution architect plus offshore squad by default, single embedded architect optional. Duration scoped to the break, not the calendar.

A custom path. A lens to walk it.
An engagement scoped to the first break.

Governance architecture diagram with control plane mapped per agent

Your custom path

A document plus diagram. The dominant maturity stage per engineering team. The target stage at 12 months agreed with leadership. The two stage transitions named in the order they happen. Calibrated to how your engineers split across product-facing teams and platform teams.

The Five AK Principles

Accountable by Design. Observable by Default. Reversible by Requirement. Governance as Enablement. Ownership Before Automation. Applied to every stage on your map as the working principles your verification, review, and governance practice will be measured against.

A pre-scoped FDE engagement

Five to eight weeks default, up to twelve when the stage transition is bigger than scoped. Solution architect plus offshore squad by default, single embedded architect optional. A Week 2 checkpoint to adjust shape if the team distribution shifts.

AWS funding mapped

Custom AWS funding mapped with per-control evidence collection wired to CloudWatch Gen AI Observability. Compliance becomes the side effect of the telemetry.

Discovery questionnaire output

Ten to twenty self-scored questions filled in before the workshop. Evidence-led, behaviour-based, not opinion-based. AK uses the answers to walk in with the maturity distribution and target-stage hypothesis already calibrated to your environment.

Team-level maturity snapshot

A stage score per engineering team in the room. Split by product-facing versus platform teams. The two stage transitions named per team with the order they hit them. Honest enough to put in front of the PE operating partner without footnoting.

Run by a solution architect from the Gen AI Delivery Lab.
Fourteen years shipping engineering operating models.

12YRS

AK Way under audit

The AK Way refined across regulated and PE-backed engagements since 2012. Engineering operating-model practice across BFSI, healthcare, public sector.

1,300+

Engineers

AI-native delivery since LLM tooling landed in production. Agentic systems shipped in financial services, healthcare, public sector.

AgentCore
Early Access

Bedrock AgentCore Policy

Early-access partner for Bedrock AgentCore Policy, GA March 2026. We were wiring it in preview.

Premier
Security · SCA

AWS partner tier

AWS Premier tier, Security Competency, Strategic Collaboration Agreement for enterprise Gen AI.

The solution architect who runs your workshop is the same one who would audit your agent inventory. We have shipped production controls with Santander, HSBC, and NHS Wales, under FCA, PRA, and Caldicott pressure, on live systems with live auditors in the room.

Jason Rackear

AWS Sr. Account Manager · the identity platform

Armakuni has been supporting the identity platform for the past 6 months and has exceeded all expectations. Charles loops me into the conversation right away. Armakuni is part of the One Team.

Identity verification · OWASP T1-T5 controls live

Engineering Leadership

Award-winning LMS provider for enterprises and mid-size organizations · Edtech

The Armakuni team demonstrated an impressive ability to earn customer trust and deliver against lofty expectations with the C-Suite. Ruben and team maintained consistent communication and delivery.

Modernization · AK Way managed handover

Matt Suckel

Sr. Manager Application Integration · One of the largest cinema networks in the U.S.

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

Application integration · Speed under pressure

Technical Leadership

A Chicago-area media archive and licensing company · Media

Armakuni helped MPI build agentic AI capabilities that work inside our content pipeline. The orchestration layer sits in our AWS account, governed by our IAM, audited by our team. We own every piece of it.

Agentic AI · Owned, not rented

Director of Technology

NHS Wales · Healthcare

NHS Wales needed data access measured in minutes, not days. Armakuni built the platform and transferred every piece of knowledge to our team. When they left, we ran everything.

Data platform · Full handover

Engineering Lead

Santander · BFSI

The transformation at Santander wasn't about new tools. It was about engineering discipline that stuck after the engagement ended. 400 engineers, 40% faster time-to-market.

Engineering discipline · AK Way at scale

Technology Director

Comic Relief · Public

When Comic Relief needed a payments platform for Red Nose Day that could not fail on live television, four Armakuni engineers built it. 500 transactions per second. Zero downtime.

High-stakes systems · Zero downtime

One day. Your engineering teams.
The stage they're at and the path to the next.

Pick a slot. Armakuni confirms your team distribution and current AI-DLC stage ahead of time via the discovery questionnaire. The workshop produces the map, the path, and the FDE scoping. Artefacts are yours to keep, regardless of follow-on engagement.

No commitment · AWS funding eligible · You own the artefacts

AI tooling without an operating-model change is a faster way to ship the same mistakes.

Tools don't compound. Operating models do.

Every engineering team using AI is somewhere on this map.
The places teams get stuck are predictable.

From "we have AI tooling" to "AI is paying back."

Stage 1 · Manual

Stage 2 · Assisted

Stage 3 · Agentic IDE

Stage 4 · Terminal agentic

Stage 5 · Agent fleet / factory

These aren't ideas. They're shipping. You'd run them inside the engagement.

Compass

Evolve

Architecture & AI Code Reviewer

Agentic AI Deployment

One day to see it. Under ninety days to install it.