AI-NATIVE SOFTWARE DELIVERY
Move From AI-Generated Code to Production-Ready Software
AI can help teams generate code faster. CDW BuildIQ helps organizations take the next step: validating that software is secure, aligned to requirements and ready to move forward with confidence.
CDW BuildIQ turns written requirements into software delivery outcomes with built-in review, verification and audit-ready evidence. The result is a more disciplined approach to AI-assisted development — one designed for enterprise teams that need speed, governance and accountability.
AI Development Requires More Than Code Generation
CDW BuildIQ isn't a code generator. It's a software-development shop — engineered to guarantee the code meets the requirement, follows engineering practice, is secured, is working, and does not fail in the pipeline.
Code Generation
Code generation can accelerate development, but enterprise software teams need more than plausible output. They need applications that meet requirements, pass review and can be supported after release.
CDW BuildIQ
CDW BuildIQ helps close the gap between generated code and deployable software by connecting requirements, architecture, validation, security review and release readiness in one governed workflow.
From Requirements to Release-Ready Outcomes
CDW BuildIQ guides software delivery from a written requirement through review, validation and release readiness. Instead of treating development, testing, security and approval as disconnected steps, CDW BuildIQ keeps each part of the process tied to a shared outcome.
Requirement Intake
Capture the business need and translate it into a clear software objective.
Planning and Architecture
Establish the solution approach before development begins, helping reduce ambiguity and rework.
Development Support
Generate application components and supporting materials through a structured AI-assisted workflow.
Validation Review
Evaluate the output against stated requirements and acceptance criteria.
Security Review
Assess security considerations earlier in the development process, before release decisions are made.
Release Recommendation
Bring validation results, security findings and review evidence together to support a clear release decision.
Specialized AI Roles Working Toward One Outcome
CDW BuildIQ uses specialized AI-assisted roles across the software development lifecycle. Each role contributes to a coordinated process for planning, building, reviewing, validating and preparing software for release.
Planner
Clarifies requirements and helps define the path forward.
Architect
Shapes the technical approach and solution design.
Reviewer
Challenges assumptions and helps identify gaps before they become downstream issues.
Builder
Supports development of application components and related delivery assets.
Validator
Checks whether the outcome aligns to the stated requirements and acceptance criteria.
Security Reviewer
Evaluates security considerations as part of the delivery workflow.
Approver
Helps consolidate review results into a release recommendation.
Auditor
Supports traceability by preserving evidence from the delivery process.
Together, these roles help create a governed, repeatable approach to AI-assisted software delivery.
Built for the Software Development Lifecycle — Not Just the Prompt
CDW BuildIQ is designed around the way enterprise software is actually delivered. It connects requirements, development, validation, security and approval into a single delivery model rather than relying on one-off code generation.
CDW BuildIQ helps support mature software delivery practices, including:
Requirements traceability
Acceptance-criteria validation
Security review before release
Review evidence and decision history
Deployment readiness evaluation
Repeatable development workflows
This gives teams a way to use AI in software delivery while maintaining the structure and accountability enterprise environments require.
MVP Launch Cases
One Platform for Faster Delivery, Stronger Review and Greater Confidence
Software delivery teams are often balancing three priorities at once: moving quickly, maintaining quality and meeting governance requirements. CDW BuildIQ brings those priorities together by aligning development activity with review, validation and release-readiness evidence.
With CDW BuildIQ, organizations can support AI-assisted development without losing visibility into how software was produced, reviewed and approved.
TEST
- UC1 Greenfield Build
- UC4 Security Remediation
- MG Mainframe Modernization
A Net-New Production API, Built And Proven In One Run
UC1 — Supply Chain Low-Stock Alert. A team needs a new endpoint in production: correct against the spec, secured, tested, observable and deployable — not a snippet they still have to finish.
Problem Statement
Engineering needs a low-stock alert endpoint shipped to production. Most AI tools return plausible-looking code; the team still owns turning it into something correct, secured, tested and deployable — and proving it to a reviewer or an auditor.
How A Normal SDLC Handles IT
- Requirement written, then manually designed
- Developer writes the code by hand
- PR opened; waits on human review
- QA writes tests separately, later
- Security review bolted on near the end
- Fix cycles, then deploy and hope
Days to weeks. Context lost across handoffs, inconsistent coverage, audit trail scattered across tools.
How CDW BuildIQ Solves IT
- S0 tiers the requirement; S1 architects, S1B challenges the brief
- S2 builds sharded: code, tests, EF Core data layer, Bicep IaC, telemetry
- S4 validates every acceptance criterion at temperature 0
- S5 reviews security inline, not at the end
- S6 issues a typed GO; HARDEN proves it assembles & boots
- Full audit trail written to Azure Blob Storage
~10–15 minutes to a verifiable, audit-ready GO — code, tests and evidence together.
Typed Audit Trail
Every decision, confidence and file:line evidence pointer is queryable.
Hardening Credited
Serilog, OpenTelemetry, hardened Docker and CI/CD rewarded, not flagged.
Reproducible Verdicts
S4 and S6 run at temperature 0.
Tests With The Code
Produced and validated in the same run.
Vulnerabilities Triaged And Fixed Automatically — With A Compliance-Grade Trail.
UC4 — Security Vulnerability Remediation. A scanner flags dozens of findings across a codebase. The work isn't finding them; it's triaging, fixing and re-proving each one without introducing regressions.
Problem Statement
SonarQube surfaces a backlog of vulnerabilities. Manual triage and remediation is slow and inconsistent, fixes themselves can regress, and proving the fix held — to a SOC2 or FedRAMP auditor — is a separate, painful exercise. The backlog grows faster than it clears.
How A Normal SDLC Handles IT
- Scanner dumps findings into a backlog
- Humans triage and prioritise by hand
- Developers fix findings one at a time
- Re-scan, re-review, repeat
- Hope no fix introduced a regression
- Assemble an audit story after the fact
Findings pile up; fixes vary by who did them; re-validation and audit evidence are manual.
How CDW BuildIQ Solves IT
- SonarQube + S5 surface findings into the council
- A deterministic triage service ranks by severity — no LLM guessing
- The S8 Security Fixer auto-remediates the real findings
- Each fix is re-validated, not assumed
- Every fix is a typed record: severity, evidence, before/after
- The trail is the audit artifact — queryable, not reconstructed
Consistent, re-validated fixes with an audit trail built for regulated review.
Deterministic Triage
Severity ranking is code, not a model opinion.
Auto-Fix + Re-Validate
S8 remediates and the run re-checks it held.
TYPED FINDINGS
CRITICAL→INFO severities with evidence pointers.
Audit-Ready
A SOC2 / FedRAMP-shaped trail of what was found, fixed and proven.
Pay for Signal, Not Noise
Tokens are spent on real findings; cost per remediation tracked per seat and run.
cost / finding tracked
Legacy Code Understood, Modernized in Place, and Proven to Boot
Mainframe modernization (brownfield). A business-critical mainframe application is expensive to run, hard to staff, and risky to touch. Leadership wants it on a modern cloud stack — without a big-bang rewrite that breaks behaviour the business depends on.
Problem Statement
A core COBOL / CICS / DB2 system encodes decades of business rules, much of it undocumented. The mandate is to modernise onto a modern, cloud-native stack while preserving behaviour exactly — and to do it incrementally, with evidence, rather than a risky all-at-once cutover.
How Modernization Usually Goes
- Manual code archaeology to recover intent
- Line-by-line rewrite, or auto-transpile
- Transpiled output nobody can maintain
- No behavioural guarantee vs the original
- Big-bang cutover carries the risk
- Little record of what changed and why
Months to years, high risk, undocumented behaviour lost in translation.
How ForgeIQ Solves IT
- Brownfield repo read loads the legacy code into a structured context
- The council reads and understands it before changing anything
- S1 architects the target on a modern, maintainable stack
- S2 modernises with typed file-action provenance — generated vs modified
- S4 validates acceptance criteria for behavioural parity; S5 secures
- HARDEN proves the modernised system assembles, wires & boots
Incremental, traceable modernization with a verdict on behaviour — before cutover.
Behaviour, Not Just Conversion
Verdicts on acceptance criteria.
Traceable Changes
File-action provenance: generated, modified or untouched.
Proven To Boot
HARDEN de-risks cutover up front.
Predictable Scope
Tiered runs T1–T4 keep migration scope bounded.
Cost Per Module, Not Per Quarter
Token cost tracked per seat, run and tier; one $100 spend cap is the only hard gate.
cost / module tracked
Measurable Evidence Behind Every Release Decision
CDW BuildIQ focuses on verifiable outcomes, not just generated output. The platform is designed to help teams capture the information needed to understand whether software is ready to move forward.
Depending on the engagement, release-readiness evidence may include:
- Requirement alignment
- Validation results
- Security review status
- Review history
- Approval evidence
- Deployment-readiness indicators
This evidence helps stakeholders make more informed decisions and gives teams a clearer record of what was reviewed before release.
GO
End-to-end verdict on UC1 with a complete audit trail in Azure Blob Storage.
289
Unit tests on the handoff contracts — 100% passing. Regressions caught before the demo.
0
Pattern-matching failure points in the production path, down from roughly 60.
FinOps
Every token tracked per seat, run, tier and model — with cost per GO vs NO-GO. No token caps; one spend cap is the only hard gate, so output is never throttled to “save money.”
S5 → S8
Vulnerabilities detected by the S5 reviewer and SonarQube, then auto-remediated by the S8 Security Fixer — triaged by severity, fixed, re-validated, fully logged.
// Figures from internal UC1 validation, May–Jun 2026. Performance is not a KPI — a fast wrong answer is expensive; a verifiable GO is cheap. FinOps gives full token visibility, not a reason to cut corners.
Verification Examples That Show CDW BuildIQ in Action
CDW BuildIQ can be used to demonstrate how AI-assisted software delivery moves from requirement to validated outcome. These examples should show how the platform supports real delivery scenarios rather than simply describing product features. Potential example areas include: Turning a written requirement into a working application, validating output against acceptance criteria, reviewing security considerations before release, and preserving evidence for audit or governance needs.
UC1 Supply Chain Low-Stock Alert
Greenfield endpoint with controllers, services, EF Core data layer and Bicep IaC — the headline run.
UC2 Audit Log Endpoint
Compliance-oriented build where the audit trail is the point, not an afterthought.
UC3 ContractIQ Selective Parallel Approval
A CDW-specific workflow exercising parallel approval logic end to end.
UC4 Security Vulnerability Remediation
SonarQube findings triaged and auto-remediated by the S8 Security Fixer with a full trail.
Why CDW for BuildIQ?
CDW helps organizations adopt emerging technologies in ways that align to business goals, security requirements and operational realities. With BuildIQ, CDW can help teams evaluate where AI-assisted software delivery fits into their broader application modernization, governance and security strategies.
Whether your organization is exploring AI development tools, modernizing software delivery practices or looking for stronger oversight across the development lifecycle, CDW can help you assess the right path forward.
Talk To The CDW BuildIQ Team
Tell us about the code you need to ship and the bar it has to clear. A CDW technology advisor will set up a 20-minute walkthrough on a use case that matters to you — the council, the verdicts, the HARDEN gate, and the audit trail.