AI-Assisted Software Development Services
A Senior Software Architect defines the scope. Senior engineers build with AI. Your MVP is live in 30 days, secure by default, built on validated architecture with AI-assisted development services.
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The Real Barriers to Shipping Software Fast
Most product teams don't fail because of bad ideas. They fail because execution breaks down between concept and launch. These are the problems that AI-assisted software development services are built to eliminate.
Technical Debt from Day One
Every week of open-ended development burns capital. For pre-seed and seed-stage founders, there is no margin for timelines that drift.
Slow Time to Market
Competitors ship while your team is still in discovery. Traditional development cycles take 4-6 months before anything functional exists. By then, the market has moved.
Runway & Budget Pressure
Rushing to ship without architectural oversight produces systems that cost more to fix than they cost to build. Speed without structure is just fast failure.
No Architectural Foundation
AI tools can generate code. But without senior architectural governance, the output doesn't hold together at scale. Generated code is not the same as an engineered product.
Security Gaps Under Investor Scrutiny
Investors and acquirers ask about security posture during due diligence. Most early-stage products have no answer because security was never part of the process.
AI Adoption Without Governance
Your team uses AI coding tools, but no one governs the output. Generated code ships without architectural review, without security checks, without a system design holding it together.
AI-Driven Product Development Services
From Scope to Functional MVP in 30 Days
Discovery Sprint
Approximately 2-3 Weeks
Led by: Senior Software Architect.
Supported by: AI generative models.
Your business objectives translated into structured technical documentation. AI accelerates the work; the Architect governs every output.
What you get:
Project scope, requirements, and constraints
Current system analysis and market research
Proposed technology solution
Implementation plan and risk assessment
What this means for you
Technical clarity and reduced ambiguity before capital is deployed.
Timeline applies when complete and accurate inputs are provided.
01
Proof of Concept
From 1 Week
Led by: Software developers with GenAI models, under architectural leadership.
A functional, deployed system instead of visual wireframes. Core functionality validated in real infrastructure before the full build begins.
What you get:
~30% of the final product implemented and deployed
Core functionality validated
Architectural assumptions confirmed
Live system on AWS, GCP, or Vercel
What this means for you
Real functionality in real infrastructure within one week. Business risk reduced before the full investment is committed.
One-week timeline applies when Discovery inputs are complete.
02
MVP Development
From 1 Month
Led by: Senior software engineers using generative AI models.
AI-driven product development that scales from a validated foundation. No repeated discovery. No redefinition. Disciplined expansion of what already works.
What you get:
Full product functionality (remaining 70%)
Scalable infrastructure configuration
Performance optimization
Production-grade security
Deployment-ready system
Ongoing support and maintenance with 1-hour incident response
What this means for you
A 100% functional product. investor-ready, secure by default, and supported post-launch by the team that built it.
Accelerated delivery depends on complete and high-quality Discovery inputs.
03
AI Tools vs. Architect-Led AI Development
AI coding tools can generate code. But AI-powered software development requires governance, structure, and accountability.
AI Tools Alone
Generate code without system design or human oversight:
No architecture – code has no structural foundation
No security framework or compliance standards
Works for prototypes, breaks under real load
Unpredictable timelines – debugging consumes speed gains
DBB's Architect-Led AI Development
AI accelerates the build; the Architect governs the outcome:
Senior Architect defines the system before any code is written
Every output reviewed and validated by senior engineers
ISO IEC 27001-aligned practices from day one
Built for production from the start
Structured timeline: 2 days, 1 week, 1 month
Built for Leaders Who Need Speed Without Compromising Structure
Our AI-Led Product Development Services are designed for decision-makers accountable for measurable outcomes.
Startup Founders
Validate fast, preserve runway, and build investor-ready architecture from day one.
Product Managers
Ship before the market window closes with structured execution and committed timelines.
Enterprises
Launch new digital initiatives with governance, compliance, and audit-ready documentation built in.
Innovators
Move from concept to functional product without assembling and managing a full engineering team.
AI Development Case Studies
Building a Custom AI Chatbot with Deep CMS Integration and MCP Protocol Support
Challenge:
DBB Software needed to convert website traffic into qualified leads, but off-the-shelf chatbots couldn't integrate with its CMS, qualify leads using structured data, or support interoperability with AI agents via MCP.
Solution:
Built a tool-augmented AI chatbot with 16 real-time Storyblok CMS tools.
Implemented the first public MCP server on a company website.
Developed structured BANT lead qualification with GDPR enforcement at the schema level.
Delivered a 9-layer security stack with prompt injection defense and cost controls.
Result:
Production system in 4 weeks with a single developer, 40x cost advantage over SaaS alternatives, and zero-maintenance content sync via real-time CMS integration.
Developing an AI-Powered Design for an E-Commerce Company
Challenge:
An e-commerce company needed help with developing and implementing an AI-powered design assistant.
Solution:
Added AI-powered CTL.
Implemented a 3D rendering engine for room designs.
Developed a virtual designer questionnaire.
Set up a 360-degree iFrame feature.
Result:
30% revenue growth, 12% increase in average order value, 16% boost in conversion rates, and 2x increase in time spent on site achieved.
Improving a Real Estate Platform with an AI-Powered Assistant
Challenge:
A Norwegian proptech company approached DBB Software to add an AI-powered assistant to its real estate platform.
Solution:
Added AI-generated insights widget.
Integrated a WYSIWYG editor for additional customization.
Optimized frontend using Vercel AI SDK for more responsible user interactions.
Result:
Delivered features to enable improved decision-making with an AI-powered assistant and boosted user engagement via dynamic insights and editable content.
Creating an AI-Powered Talent Acquisition Platform
Challenge:
DBBS helped a startup improve its core product, an applicant tracking system, through new features, complete redesign, and scalable architecture.
Solution:
Implemented a modern front end using React, TypeScript, Next.js, Tailwind CSS, and Radix UI for intuitive UX.
Leveraged LLMs and cloud AI services to improve core functionality with AI.
Built out user management, data import/export, CI/CD pipelines, and automated testing.
Optimized performance and reduced AI-related operational costs.
Result:
Successful MVP launch with positive early-adopter feedback, better control over operational costs, and a robust, scalable architecture for future growth.
Advancing an AI-Powered Meeting Management Platform
Challenge:
A technology product company wanted to improve and expand the reach of its AI-powered meeting management platform that records government meetings.
Solution:
Developed an admin panel to manage data and migrate workflows.
Implemented a Boolean search engine for document research.
Created scrapers for pages with live broadcasts in different locations.
Migrated the solution to AWS-based PostgreSQL.
Result:
The solution is moving to a dedicated platform, and the team is implementing a dedicated search engine for audio transcriptions.
Senior Architect-Led Delivery
Every phase is governed by a Senior Software Architect. AI accelerates delivery while the development engineer ensures technical coherence, feasibility, and long-term scalability.
Validate Before You Scale Upwards
30% of your system is functional and deployed within one week. You commit to the full build only after the foundation is proven, with architecture and documentation structured to withstand investor due diligence.
ISO 27001-Aligned Security from Day One
ISO IEC 27001-aligned practices govern AI usage, documentation handling, development workflows, infrastructure configuration, deployment, and maintenance from Discovery through post-launch support.
Maintenance with 1-Hour Incident Response
Post-launch maintenance and support services include 1-hour incident acknowledgment and investigation. The team that built your product continues to operate it with no handoff gap between delivery and long-term reliability.
AI-Accelerated Workflows Under Architectural Governance
Our AI-assisted development team works within proprietary AI-accelerated workflows, combining generative AI tools with senior engineering oversight.
Vercel
Claude Code
AWS
Google Cloud
OpenAI Codex
Google Gemini
AWS Kiro
What Our Clients Say
"We set out a time frame of 12 weeks for the MVP and we hit that. DBB Software’s transparency and use of their pre-built solution cut down the build time. Their expertise has been fantastic — they’re fast learners and delivered an MVP in 12 weeks."
Alfie Willis
Founder, CHOO CHOO
“DBB Software's commitment to delivering outstanding AI and custom software solutions was truly impressive”
Mariam Asatryan
COO, Software Engineering Company
"The professional level of DBB Software is record-breaking. Thanks to DBB Software’s support, the client has been able to reduce their development time by 30%–40%."
Ido Levy
CEO, SafeMode
"Impressive what they have managed to make in such a small time, also suggesting new ways to implement, or new technologies we should be aware of.”
Peder Søholt
CTO & Co-Founder, Plaace
How We Work Together
Initial Consultation
You share your objectives. We assess fit and outline the engagement. If there's alignment, we move to Discovery.
Discovery Sprint
You provide business requirements and context. We deliver a Scope Document for your review and approval before any development starts.
Proof of Concept (1 Week)
You review a working system deployed to production infrastructure. You validate direction before committing to the full build.
MVP Development (Remaining Weeks)
You review progress at defined checkpoints. The product expands from what's already proven, with no scope drift.
Handoff + Ongoing Support
You receive the full codebase, documentation, and deployment access. The same team continues supporting your product post-launch.
Mina Morkos
Business Development Manager
Discuss Your Project
Engagement Model
Who Leads
Senior Software Architect across all phases.
Who Builds
Senior engineers with GenAI models under architectural governance.
Communication
Async updates, sprint planning, demos, and retrospectives.
Your Input
Business objectives, requirements, and feedback at phase checkpoints.
Your Time
Approximately 5 hours across the one-month engagement.
What You Receive
Full codebase, Scope Document, architecture documentation, deployment access, and ongoing support.
FAQ
Let's Scope Your Product
"You have the concept. We have the architecture, the AI-accelerated workflows, and the 30-day delivery discipline. Tell us about your project, and we'll assess fit within one business day."
Mina Morkos
Business Development Manager
Our Blog
Want to talk through what this looks like for your project?
Our AI assistant can walk you through the approach, share a relevant case study, or scope a discovery phase with our team.