SaaS and AI development is the end-to-end design, build and launch of AI-native software: SaaS applications, internal tools, AI workflows and the websites around them. Growth Mode, an AI-first digital agency in Oxfordshire, takes products from brief to a deployed MVP and on to market-ready SaaS, and you own the code. It is for founders building a first AI product, scale-ups adding AI to existing software, and operators who need tools that fit how they work.
Websites
Fast, high-performance websites built for conversion. Whether it's a marketing site, a product landing page, or a full web app, we ship clean, fast, and SEO-ready. Built with structured data, semantic HTML, and Core Web Vitals in mind from day one so you rank as well as you convert.
SaaS Applications
End-to-end product development for B2B SaaS. We take ideas from brief to deployed product, handling architecture, AI integration, and go-to-market. We've built multi-channel GTM platforms, financial intelligence dashboards, community networks, and agentic automation tools, all shipped and live.
Internal Tools
The tools your team actually needs, built around how you work. Dashboards, workflow automation, data pipelines: all connected to your existing stack. We don't build tools to spec then leave. We build tools that get used, because we understand the operations they're meant to serve.
AI Workflows
Intelligent automation baked into your product or operations. Trigger-based agents, AI-assisted decision-making, and data-driven workflows powered by Claude, GPT, and purpose-built pipelines. We architect AI layers that compound over time, getting smarter with every input rather than just executing static rules.
How does an AI product build work?
Every project follows the same four-stage process, adapted to what you're building. No bloated discovery phases. No handoff delays. We move fast and stay tight with your team throughout.
Most agencies hand off at deployment. We stay involved through go-to-market, because a shipped product that doesn't grow is just expensive code.
1. Discovery & Scoping
We dig into your product idea, your users, and your technical constraints. The output is a clear scope, architecture brief, and timeline. Not a deck of slides you'll never look at again.
2. Architecture & Design
We map the full technical architecture before a line of code is written. UX wireframes, data models, API integrations, and AI layer design, built to scale, not just to launch.
3. Build & Deploy
We build in sprints, ship fast, and keep you in the loop. Production deployment, testing, and handover documentation included. You own the codebase, the infrastructure, and the outcome.
4. Scale & Optimise
Post-launch, we monitor performance, tighten bottlenecks, and identify where AI can do more. Many clients stay on retainer because the best gains come after the product is in users' hands.
What's included
Every engagement includes product strategy, UX/UI design, full-stack development, AI architecture, deployment, and documentation. Optionally: brand identity, SEO architecture, GTM strategy, and ongoing optimisation.
We work with modern stacks (React, Next.js, Node, Python, Supabase, Vercel, AWS) and integrate with the AI tools that make most sense for your product: Claude, OpenAI, Anthropic APIs, Langchain, and custom pipelines where needed.
Who is SaaS and AI development for?
- Founders building their first AI product who need a technical partner, not just an agency.
- Scale-ups adding AI capability to existing software without slowing down their current roadmap.
- Operators who need internal tooling that actually fits how their business works, not off-the-shelf tools forced into the wrong shape.
- B2B companies who've tried hiring dev teams and found the coordination cost too high for early-stage product work.
Related work
We've shipped AI products across fintech, martech, and adtech, including Grow with Ghost (agentic GTM platform), Directive Finance (AI financial intelligence dashboard), and Pluggin (agentic automation platform). See the full build history on the Case Studies page.
For thinking on where AI-native products are heading, read SaaS Is Dead: The End of the Seat, on why outcome-based models are replacing per-seat pricing as AI agents do the work.
Frequently asked questions
How long does it take to build an AI product?
Most MVPs take 6 to 12 weeks from scoping to deployed product, depending on complexity. We work in sprints with weekly deliverables so you see progress throughout, not just at the end. More complex SaaS products with multiple AI integrations typically take 12 to 20 weeks.
What tech stack do you use?
We build on modern stacks suited to the product: React and Next.js for frontend, Node and Python for backend, Supabase or PostgreSQL for data, and Vercel or AWS for deployment. For AI layers we work primarily with Claude (Anthropic), OpenAI GPT-4, and purpose-built agentic pipelines depending on the use case.
Do you build SEO-ready websites?
Yes. Every website we build includes structured data (JSON-LD schema), semantic HTML, Core Web Vitals optimisation, server-side rendering for AI crawler accessibility, and sitemap and robots.txt configuration. SEO architecture is baked in from day one, not bolted on afterwards. If AI search visibility is the main goal, our AI SEO and websites service covers it as a dedicated project.
Who owns the code at the end of the project?
You do. We hand over the full codebase, infrastructure access, and documentation at project completion. There are no ongoing licence fees or platform lock-in. You own everything we build, so you are free to bring development in-house or hand it to another team at any point.