From traditional SDLC to AI-first delivery
Dedicatted transforms engineering delivery across the entire SDLC by embedding AI into your team's workflows through a staged, metrics-driven approach. As an AWS AI-DLC partner and Ambassador, we implement the AI-driven development lifecycle AWS publishes – helping you automate workflows, reduce costs, and ship faster.
What is AI-augmented development?
AI-augmented software development embeds AI tools directly into your delivery lifecycle – from code generation and intelligent completion to automated testing, proactive bug detection, and DevOps automation – inside a structured, measured workflow.
Your problem vs our solution
Around half of GenAI initiatives never reach production
A staged AI-DLC rollout, measured at every phase – not licences and hope
30-50% of AI tool seats go unused within months
Usage tracked from week one; shelfware surfaced and eliminated
Tools alone deliver single-digit gains
Structured enablement on real workflows, on your live codebase
Nobody can prove the spend changed anything
A baseline agreed up front and measured before and after
Our AI-augmented consulting services
Dedicatted is an AWS Premier Tier Partner specializing in cloud, DevOps and Generative AI for enterprise clients.
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Rapid maturity assessment
We audit your development ecosystem to pinpoint where AI delivers the most immediate value.
- Workflow, tooling and delivery audit
- Baseline metrics agreed up front
- Prioritised adoption roadmap
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AI-native team uplift
We evolve your engineering culture from traditional methods to an AI-first way of working.
- Hands-on co-implementation with your teams
- AI champions identified and coached
- Bolt cadence replacing sprint ceremony where it earns its place
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Advisory & tool evaluation
We monitor the volatile AI landscape on your behalf and vet the tools before you commit.
- Continuous strategic updates
- Technical vetting of GenAI tooling
- Fit judged against your stack, not the hype cycle
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Agentic AI PoC factory
We build and validate autonomous AI agents tailored to your specific operational needs.
- Agent use cases scoped and scored
- Working proofs of concept in weeks
- Human-in-the-loop guardrails by default
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Training & enablement
Your teams master the AI-augmented SDLC by shipping with it, not by sitting through decks.
- Mob elaboration on your live backlog
- Real prototypes shipped during enablement
- Internal leads run the cadence at handover
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AI governance & security
Every line of generated code protected by standards that apply from the first commit.
- Guardrails and code provenance
- Security review embedded in the pipeline
- Data boundaries your compliance team can sign
Beyond consulting: AI-augmented development services
Hands-on delivery, not just advice – AI embedded into testing, pipelines, modernization and the full SDLC.
AI-augmented testing & QA
Quality that scales with generation speed instead of falling behind it.
- Automated test creation and maintenance
- AI-driven security practices
- Effective human-in-the-loop review workflows
AI-augmented DevOps & CI/CD
AI helping your team establish IaC and automate the pipeline work that eats sprint time.
- Infrastructure as Code generation
- Deployment and backup scripting automated
- Pipeline optimization measured end to end
AI-accelerated legacy modernization
AI-assisted engineering that speeds up and de-risks modernizing legacy applications – without a rewrite.
- Codebase understanding at machine speed
- Incremental migration paths, validated early
- Modernization grounded in your target architecture
AI-first SDLC management
End-to-end delivery on a governed platform: planning, AI-powered architecture, development, testing, deployment and maintenance.
- Context layer carrying your standards over MCP
- Production-parity environments on demand
- Builders on Amazon Bedrock, grounded in your rules
Addressing critical business challenges
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Chaotic adoption, invisible ROI
Tools bought team by team, nobody measuring. We bring order: oversight, a baseline, and measurement frameworks that show what changed.
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Escalating competitive pressure
Competitors ship faster every quarter. We accelerate your delivery pipeline so you stop playing catch-up.
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Unpredictable engineering output
AI makes some teams faster and some slower. We stabilise delivery by moving beyond basic tool access to a structured lifecycle.
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Security and governance uncertainty
Generated code with unknown provenance. We secure the AI journey so every line produced is protected by your standards.
Buying licences is the easy part. A model does not know your architecture, so what it writes does not survive code review – and the team quietly goes back to writing it by hand. We fix that by giving the model your standards to work from, and by making a prototype and a production service the same build. Then we measure it. If we cannot show the change in numbers, we do not claim it.
AI-augmented development at Dedicatted: our integration-focused approach
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Week 1-2
Inception
- Mob elaboration: AI turns business intent into units of work, the team validates
- Audit how delivery works today; surface the standards living only in people's heads
- Agree the baseline we will measure against
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Week 3-6
Construction
- Work moves in bolts – hours or days, not sprint-weeks
- Stand up the context layer and the first golden path
- Put two or three real workflows through it on live code
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Week 4-8
Construction at width
- Extend to more teams and more paths
- Harden governance and cost controls
- Infrastructure ready for organisation-wide use
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Ongoing
Operations, then handover
- Advanced agentic workflows where they earn their place
- Your platform team takes ownership of templates, context layer and governance
- We leave the critical path
- 15 pages AWS AI-DLC framework
- Free Instant PDF access
Your developers got faster. Your delivery numbers did not move.
Written for CTOs and engineering leaders who bought the licences, watched developers get faster, and are still waiting for delivery to catch up. What AI-DLC is, what actually changes, what it will not fix, and how to run it on a real workload in 90 days.
- What AI-DLC actually changes in the lifecycle.
- What it will not fix, stated plainly.
- How to run it on a real workload in 90 days.
Written by Dmytro Petlichenko, AI-DLC AWS Ambassador. Instant PDF access.
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Download the guideFAQ
What is AI-augmented software development?
AI-augmented software development embeds AI tools directly into your delivery lifecycle – from code generation and intelligent completion to automated testing, proactive bug detection, and DevOps automation – inside a structured, measured workflow.
What are the key benefits of using AI in software development?
Speed, quality and cost efficiency: AI automates code reviews, generates test cases, flags security vulnerabilities early and reduces rework – provided the lifecycle around it changes too, which is what AI-DLC structures.
What types of AI tools are commonly used?
AI-assisted code generation and completion, automated test creation, AI-driven bug detection, and CI/CD pipeline optimization. The AI-DLC steering rules we implement run on Kiro, Amazon Q, Cursor, Claude Code and Copilot, so you are not locked to one assistant.
What is AI-DLC?
AI-DLC is the AI-driven development lifecycle AWS publishes as an open methodology: three phases – Inception, Construction, Operations – with work moving in short cycles called bolts and AI proposing plans the team validates. Dedicatted implements it as an accredited AWS partner, so what we run is a public standard you can read, not a vendor framework you have to trust.
How can AI-augmented development give my business a competitive advantage?
AI-augmented pipelines let your teams ship faster, catch defects earlier and modernize legacy systems without the cost and risk of a full rewrite – and a measured rollout means you can prove it.
How can my company get started?
The best starting point is a rapid assessment of your current development process to identify where AI delivers the most immediate impact. We run that in the first two weeks and agree the baseline every later claim is measured against.
What are AI-augmented development services?
AI-augmented development services embed AI into the software delivery lifecycle itself: grounding code generation in your architecture, provisioning production-parity environments on demand, and enforcing security standards from the first commit. Dedicatted delivers this as an accredited AWS AI-DLC partner in Canada, implementing the AI-driven development lifecycle that AWS publishes as an open methodology.
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AI-DLC: the AWS methodology for AI-first delivery
AI-DLC restructures delivery into three phases – Inception, Construction and Operations – with work moving in short cycles called bolts and AI proposing plans that engineering teams validate. Dedicatted implements AI-DLC on AWS with a governed context layer exposed over MCP, Backstage golden-path environments on EKS, RDS and S3, and builders on Amazon Bedrock grounded in each client’s own standards. The result: prototypes and production services are the same build, and AI-written code carries your architecture, data rules and security posture from its first commit.
Make what AI writes safe to ship
Briefly outline your challenge – our team responds within one business day with relevant experience and initial technical insights.