AI-assisted Spec-Driven Delivery for modern software teams

We integrate AI into planning, analysis, and documentation, while our engineers remain fully responsible for architecture, decision-making and final code quality.

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ISO/IEC
27001:2022

ISO
9001:2015

Specification-Driven Development

Spec-Driven Development (SDD) is a delivery approach where clear specs guide the entire development process. AI accelerates execution, while engineers remain accountable for architecture, decisions, and code quality. At Montrose Software, this helps us deliver faster, reduce rework and achieve predictable outcomes.

Challenges we solve

Clear tickets → clear specs

Remove ambiguity from the start and significantly reduce cycle time and rework.

Clarity first

AI accelerates understanding so teams begin with a shared view of goals and constraints.

Human-led delivery

AI does not replace teams. It elevates them by reducing noise and reinforcing focus.

Custom prompts

Custom prompt commands integrated into the repo workflow, so every ticket follows the same delivery standard.

Spec-Driven Development process

Our SDD process is built around continuous alignment between specification, implementation, testing, and documentation. This ensures that quality is reinforced at every stage, not inspected only at the end.

Clear, structured specs that define intent, constraints and acceptance criteria.

Automated checkpoints across planning, development, review and QA phases.

Role-specific prompts for developers, reviewers, QA and analysts.

Ongoing alignment between what is specified, what is built and what is tested.

What you can expect with Montrose SDD

01
Faster delivery
Clear specifications and AI support can reduce delivery time significantly.
02
Higher quality from day one
Misalignments are detected early, often before code is written.
03
Reduced cognitive load
Clear specs, automated analysis and structured tasks keep teams focused.
04
Predictable outcomes
SDD ensures systematic, repeatable delivery.
05
Complete transparency
The process generates high-quality artefacts that are fully auditable and easy to present to stakeholders.

Estimate your project

Let's talk about how we can help to turn your ideas into reality

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Why partner with Montrose Software

We apply AI as part of a structured SDD methodology, ensuring scalable delivery, continuous alignment and predictable outcomes.

AI built into the methodology

AI is embedded directly into the SDD process rather than added as an afterthought, ensuring it supports every stage of delivery in a structured and reliable way.

Configurable to your organization

The SDD process is adaptable to your domain, workflows and delivery model, making it easy to integrate without disrupting how teams already work.

Higher accuracy through custom prompts

Custom-engineered prompts provide stronger context awareness and significantly higher accuracy than generic AI tools.

Continuous alignment and control

Ongoing quality checks prevent drift between specifications, implementation, and tests, allowing teams to scale output without losing control or creating chaos.

Rated for excellence

Partners rate us 4.9/5 for custom software development. We believe the success of a digital product depends on exceptional delivery.

Our technology partner Montrose Software delivered high quality solutions in a timely manner. I highly recommend Montrose Software.

Glenn Schultz

CFA, President Kodiak Advisors

Frequently asked questions

Spec-Driven Development is a delivery approach where clear, structured specifications guide the entire software development process. Specifications remain the single source of truth and stay continuously aligned with implementation, tests, and documentation.

AI is embedded directly into the SDD methodology. It supports planning, analysis, documentation, and quality checks, while experienced engineers remain responsible for architecture, decisions, and final code quality.

No. SDD is designed to elevate teams, not replace them. AI reduces noise and ambiguity, allowing engineers to focus on decision-making, quality, and delivery rather than clarifications and rework.

Generic AI tools lack project context and often produce inconsistent results. Our SDD approach uses custom-engineered prompts adapted to each project, domain, and workflow, delivering higher accuracy and stronger alignment with business intent.

SDD helps address unclear requirements, misalignment between specs and code, cognitive overload, and loss of control when scaling delivery with AI. It restores clarity and predictability across the delivery lifecycle.

By starting with crystal-clear specifications and maintaining continuous alignment, teams reduce clarifications, rework, and late-stage fixes. This typically results in a 25–50% reduction in delivery time.

The SDD process includes automated checkpoints and ongoing validation to ensure specifications, implementation, and tests stay aligned as the system evolves.

The best way to find out is to discuss your specific context and delivery challenges. You can share details about your project through our contact form or book a free consultation with one of our SDD experts to explore whether this approach is a good fit.