Software Delivery Readiness Assessment
Can your AI-assisted code survive an audit?
AI-assisted code is outpacing the evidence trail at most financial institutions. Find out how exposed yours is in 5 minutes.
6 dimensions
benchmarked against peer institutions
5 minutes
average completion time
Instant results
delivered on screen with detailed report
AI is accelerating delivery faster than governance can operationalize it.
This can lead to a loss of up to 30 to 50% sprint capacity, causing the biggest gap in your delivery system. It is also the same audit gap that examiners will challenge.
“Half the team is using Copilot. We have no documented process for reviewing AI-generated code, and Internal Audit is starting to ask.”
VP ENGINEERING
$14B US regional
“OSFI E-23 and SR 11-7 weren't written with code generation in mind. We're inventing the evidence trail as we go.”
MRM Lead
Canadian Schedule I
“Our engineers can ship faster. Our governance team can't sign off faster. The bottleneck moved but it didn't disappear.”
CTO
$22B regional bank
“We don't need another AI tool. We need to prove the AI tools we already bought are safe.”
CISO
Mid-tier insurer
Move from shadow productivity to governed scale
Spec-Driven Development (SDD) is the governance layer that turns business intent, code, tests, and release evidence into a traceable system of record.
AI + Engineers today
Without a governed spec layer
Fragmented
Work happens in silos with inconsistent standards and tools.
Inconsistent
Different approaches, unclear requirements, unpredictable results.
Uncontrolled
Limited traceability, quality gaps, and compliance risk.
SDD
Enterprise execution
With SDD governance layer
Consistent
One spec-driven approach across teams and tools.
Auditable
100% traceability with automated evidence capture.
Traceable
Every requirement linked to code, tests, and releases.
Scalable
Governed once, reused everywhere. Built to scale.
Governed delivery, measured in numbers
SDD brings structure, traceability, governance, and operational confidence to AI-assisted software delivery.
Delivery
35–50%
faster delivery cycles.
Quality
92%+
automated test coverage.
Cost
$1.2-2.4M
savings on a $6M modernization program.
Governance
100%
spec-to-prod traceability.
Governance
<1hr
audit prep, down from 2–4 weeks.
Governance
<4hr
high-risk approval, down from 3–5 days.
Quality
30%
fewer defects post-QA.
What SDD changes, and what it does not
- A governance and traceability layer over your existing AI coding tools.
- An audit-ready evidence pipeline aligned to OSFI E-23, SR 11-7, and internal MRM frameworks.
- A fixed-scope workflow change with measurable KPIs.
- Runs inside your tenant. No data egress. No model swap.
- 5-minute self-assessment first, before you book a call.
- A replacement for Copilot, Cursor, Tabnine, or your IDE.
- A foundation model or an LLM you have to host.
- A policy document for Confluence.
- A multi-year transformation. The paid diagnostic is 3 weeks.
- A coding tool. Your engineers' workflow doesn't change.
Software Delivery Readiness Assessment
Get an instant 0–100 readiness score, maturity level, dimension breakdown, and cost-of-staying-here estimate. Score appears on screen; full report is sent by email.
6 dimensions
benchmarked against peer institutions
5 minutes
average completion time
Instant results
delivered on screen with detailed report
01
Requirements Clarity. How business intent reaches engineering.
02
Build & Release Confidence. What you know about a release before you ship it.
03
QA Maturity. How tests prove acceptance criteria.
04
Delivery Governance. The gates AI-generated code passes through.
05
Compliance & Traceability. Time to assemble an audit pack on a production change.
06
Team Alignment & Readiness. Where design intent lives when a senior engineer leaves.
Five maturity levels, scored against your spend
Each dimension is rated on a five-level maturity ladder. The score quantifies what each level costs against your annual delivery budget.
L1
Ad hoc
Heroics-driven
Delivery depends on the senior engineer in the room.
~40% of budget lost to structural waste.
L2
Repeatable
Rigor in pockets
Quality and velocity swing widely between squads on the same platform.
L3
Defined
Specs exist, gates don't
AI-generated code merges on developer judgment. Audit evidence is reconstructed after the fact.
L4 - L5
Governed
Specs gate the release
Every line traces to a signed spec. Audit packs assemble in under an hour. Delivery runs 35–50% faster.
Before you book
Q1
Why 5 minutes? Is the score useful?
The six dimensions are the highest-signal subset of our paid 3-week diagnostic. You get a 0–100 score, your weakest dimensions, and a peer benchmark that will help decide whether further evaluation is warranted.
Q2
Will the assessment work for our environment?
Built for institutions running Copilot, Cursor, or in-tenant models on modern CI/CD. If your stack is materially different, we'll flag it on screen rather than infer a number that isn't there.
Q3
What's the path from here?
(1) 5-minute Readiness Assessment, (2) 3-week Audit-Readiness Diagnostic with a sample audit pack, (3) SDD Pilot, 6–10 weeks, one delivery stream. Step off after any stage.