Our Process

A predictable AI software development process.

Five clear phases take your product from idea to launch in about ten weeks. Transparent milestones, weekly demos and production-ready code at every step.

Start With a Discovery Call View Our Projects
5 Clear phases
8–10 Weeks to launch
How we deliver
  • Milestone-based plan with fixed scope
  • Weekly demos and a shared project board
  • Code committed to your repository from week one
Step by Step

From discovery to launch, without surprises.

Every phase ends with a tangible deliverable you can review, so you always know what is done, what is next and what it costs.

  1. 01Week 0–2

    Product Clarity Audit

    We interview stakeholders, map your current workflow and audit your data to find where AI creates the most value. You leave with a prioritised roadmap, not a vague proposal.

    Deliverables

    • Business goals & success metrics
    • Data readiness report
    • Prioritised AI use-case roadmap
  2. 02Week 2–5

    Architecture & AI Logic

    Our architects design the system end to end: data pipelines, model selection, APIs, security and cloud infrastructure, so the product scales from day one.

    Deliverables

    • Solution architecture document
    • Model & tech-stack selection
    • Fixed-scope plan with milestones
  3. 03Week 4–7

    High-Fidelity Prototyping

    We design the user experience and validate the AI logic with a clickable prototype and a working proof of concept on your real data.

    Deliverables

    • UX flows & UI design
    • Proof of concept on real data
    • Stakeholder feedback round
  4. 04Week 6–8

    Systems Engineering & Integration

    Agile sprints with weekly demos. We build, test and integrate the application with your CRM, ERP, payment gateway or internal tools.

    Deliverables

    • Production code in your repository
    • Automated tests & code reviews
    • Integrations & admin dashboard
  5. 05Week 8–10

    Launch, Optimisation & Scaling

    We deploy to production, monitor performance and model accuracy, train your team and keep iterating on what the data tells us.

    Deliverables

    • Cloud deployment & monitoring
    • Team training & documentation
    • Post-launch support plan
Our Process

Where Strategy Meets Systematic Delivery

Predictable Sequence

Complex requirements transformed into precisely sequenced phases.

Total Transparency

Full stakeholder visibility with milestone-driven accountability.

Optimized Growth

Measurable ROI at every checkpoint of your digital journey.

WK 1WK 2WK 3WK 4WK 5 WK 6WK 7WK 8WK 9WK 10
KICKOFF
WEEK 0-2

Product
Clarity Audit

STRATEGY
WEEK 2-5

Architecture
& AI Logic

DESIGN
WEEK 4-7

High-Fidelity
Prototyping

DEVELOPMENT
WEEK 6-8

Systems Engineering
& Integration

LAUNCH
WEEK 8-10

Optimization
& Scaling

Engagement Models

Work with us the way that fits

Whether you need an MVP, a dedicated development team or long-term support, the same process and quality bar apply.

Fixed-Scope MVP

A defined feature set, timeline and price. Ideal for startups validating an AI product or a first automation.

Dedicated AI Team

A senior-led squad of developers and AI engineers working as an extension of your team, billed monthly.

Growth Retainer

Ongoing improvements, model retraining, new features and support after launch with guaranteed response times.

FAQ

Process & timelines: common questions

How long does it take to build an AI application?

Most MVPs and first releases go live in 8 to 10 weeks. Smaller projects such as a document chatbot can launch in 3 to 4 weeks, while larger platforms are delivered in phased releases so you see value early.

What does the AI software development process look like at KenStack?

We follow five phases: a product clarity audit, architecture and AI logic design, high-fidelity prototyping, systems engineering and integration, and launch with optimisation. Each phase ends with a milestone review and a working deliverable.

Will I be able to track progress during development?

Yes. You get weekly demos, a shared project board and a single point of contact. Code is committed to your repository throughout the project, so you always own and see the work.

Do you use agile development?

Yes. Engineering runs in one or two-week agile sprints with sprint planning, demos and retrospectives, wrapped in milestone-based planning so budgets and timelines stay predictable.

What happens after launch?

We monitor uptime and model performance, fix issues under warranty and offer a growth retainer for new features, retraining and scaling as usage increases.

Let's plan your first milestone.

Book a free 30-minute strategy call. We will map your highest-ROI AI opportunity and give you a clear plan, scope and timeline.

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