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Ninety minutes on your codebase, with a preliminary tech-debt assessment to take into Monday's meeting.

Your engineers bring a real codebase. Ours run a fleet of specialist analysis agents across it live for ninety minutes, inside your own AWS account, so your source code never leaves your environment. You walk away with a preliminary tech-debt number in dollars per sprint, an AI-readiness score per service, and an honest read on whether the code is even safe for AI tooling to touch. Not slides about a methodology. The actual tools, on actual code.

90 minutes Free Your codebase or ours Virtual

Seven out of ten modernization programs fail at the assessment stage.
This workshop shows you what a data-driven assessment looks like.

Most modernization programs scope the work from architecture diagrams and team interviews. The estimates come out wrong because the diagrams are stale and the interviews reflect what people remember, not what is actually in the code. Compass reads the code directly, and reads it for two things at once: what the debt costs, and where the security risk hides before any AI tool gets near it. In this workshop we run the assessment tooling on a real codebase while you watch, the kind of read regulated teams need before they let AI touch their software. You judge for yourself whether the full engagement is worth scheduling.

0%

of modernization programs fail to meet objectives. Assessment is where most go wrong.

McKinsey, Gartner
0 layers

assessed live during the workshop. Static complexity, coupling, test verifiability, change risk, AI readiness.

0 min

from "we are guessing at the scope" to "we have a number per sprint."

Five sessions. One live analysis.
Your codebase or a representative one.

0:00 – 0:15 15 min

Why modernization programs fail at the assessment stage

What incomplete scoping costs downstream. The data gap between "we know our codebase" and what's actually in the codebase.

0:15 – 0:55 40 min Live Demo

Compass live demo. Five assessment layers running on a real codebase.

Static complexity: module map, language breakdown, dependency graph, dead code detection
Architectural coupling: service-to-service connections, shared databases, blast radius
Test verifiability: coverage analysis, test quality scoring, integration dependency map
Change risk: failure rate correlation, deployment frequency, incident patterns
AI readiness and safety: per-service scores against AK Way prerequisites, plus the checks that decide whether AI tooling is safe to point at the code at all (secrets and live credentials in source, exposed data, missing tests, unbounded contexts, AI-unsafe patterns)
0:55 – 1:10 15 min

Tech debt quantification

How Compass converts assessment data into dollars per sprint. The number that turns a technical conversation into a funded program.

1:10 – 1:25 15 min

Facilitated session

Apply the five layers to your own codebase. Which services would you assess first? Where do you expect the coupling surprises?

1:25 – 1:30 5 min

Open Q&A + path forward

Whether your modernization qualifies for AWS MAP funding. Full Compass engagement scoping if the workshop convinced you.

Six concrete things you take away.
No abstract frameworks.

01

The difference between assumed and actual codebase health

You've seen five assessment layers run on real code. Static analysis, coupling detection, AI readiness scoring. Not a demo environment. An actual codebase with real complexity.

02

Tech debt and breach risk in a number your CFO can act on

The methodology that turns "we have tech debt" into dollars per sprint, and turns security exposure into a dollar figure too. The numbers that get a modernization program funded.

03

Preliminary view of your own codebase

From the facilitated session: which services to assess first, where coupling risk is highest, where AI readiness is closest.

04

Clarity on what a full Compass engagement involves

Scope, timeline (2-3 weeks), deliverables, and how Compass connects to Evolve if you go further.

05

Answers to every technical question

From the engineers who build and run Compass. Not sales reps. The people who wrote the tooling.

06

MAP funding clarity

Whether your modernization qualifies for AWS MAP funding and how the application process works.

Four roles. 90 minutes.
Every question answered.

CTO or VP Engineering

Must

The person who owns the modernization decision and needs hard data to build the business case.

Lead Architect or Principal Engineer

Must

The person who knows the codebase best and can judge whether the assessment findings match reality.

Engineering Manager or Team Lead

Must

The person whose team will live with the modernization outcome. Needs to see what the tooling does to their codebase, not a slide deck about it.

Finance, Programme, or Security Lead

Recommended

The person who needs tech debt and breach risk quantified in dollars, and the business case built from data, not estimates. The assessment scores security exposure per service, so a risk or security owner leaves with the same fundable numbers finance does.

The architecture diagrams say one thing. The codebase says another. Compass shows you which one is right. Ninety minutes. Live.

Recent results

How we helped real customers ship on AWS.

A platform-engineering modernization combining agentic AI with the data layer. Shipped on AWS with full audit trail.
Technical Leadership · Marketing automation platform for e-commerce and restaurant brands · SMS campaign automation platform for e-commerce and restaurant brands

90 minutes. Real code. Five layers. Free.

You'll see the assessment methodology running on a real codebase, including whether that code is safe for AI tooling to touch, and decide whether the full engagement is worth your time. No pitch deck. No follow-up unless you ask.

Virtual. Free. Your first conversation is with an engineer, not a sales rep.

AWS Premier Tier Services Partner

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