How much does an AI integration sprint cost?

€5,000 flat for a fixed-scope, 2-week engagement. This includes discovery and scoping (days 1–2), implementation in your codebase (days 3–12), and handoff with full documentation, tests, and a walkthrough call (days 13–14). Two weeks of bug fixes post-handoff are also included. Most AI agencies charge €50,000–€300,000+ for comparable multi-month engagements.

What if I need more work than fits in 2 weeks?

Two sprints back-to-back, €10,000 total, 4 weeks of work. Each sprint still has its own fixed scope and deliverable — you see shipped results every two weeks rather than waiting months for one big reveal.

Do you offer hourly billing or retainers?

No. Fixed price per sprint, no hourly billing, no retainers. Fixed pricing forces clarity: we agree on the deliverable before I write code, and there is no incentive to stretch the work.

What if the feature does not meet spec?

I fix it for free until it matches the scoping document, or I refund in full. The delivery guarantee removes the risk of paying for something that does not work.

Why only 2 sprints per month?

Deep focus per client is the main value. Running more than two sprints in parallel means context switching, which hurts quality. If you need to book further out, schedule a call to reserve a slot.

What can an AI integration sprint deliver?

Production-ready features including RAG-powered search over internal data, intelligent document processing, AI-driven classification and summarization, LLM-powered workflow automation, multi-agent systems, and custom AI integrations for your existing stack.

How does the 2-week timeline actually work?

Days 1–2: discovery call and scoping document. Days 3–12: implementation in your codebase with daily async updates, feature in staging by day 8. Days 13–14: handoff with documentation, tests, and a walkthrough call.

How much of my engineering team's time does this require?

Minimal. A 60-minute scoping call on day 1, a 30-minute staging review around day 8, and a 60-minute handoff call on day 14. Roughly 2.5 hours of meetings total, plus async review of code and docs.

How long does it take to add AI features to a SaaS product?

With a structured sprint, production-ready AI features ship in 2 weeks. No discovery workshops, no 6-month roadmaps — just scoped, built, and deployed code.

What tech stack do you work in?

TypeScript and Next.js for the web layer, Python for data and ML pipelines, any modern vector database (pgvector, Pinecone, Weaviate). Compatible with most B2B SaaS stacks. If your stack is not a fit, I will tell you upfront on the scoping call.

Do I need to hire a full-time AI engineer?

No. A fixed-scope sprint lets you ship production AI features without the overhead of hiring. You get production-ready code, documentation, and 2 weeks of post-delivery support — all for €5,000 per sprint.

Who owns the code after delivery?

You do. Everything ships into your repository, branded as your team's code. No recurring fees, no lock-in, no dependencies on me to keep it running.

What happens after the handoff?

Two weeks of free bug fixes are included. After that, the feature is yours to own and extend. If new issues surface months later, you can re-engage me for a small scope or lean on your internal team — the code and docs are written to be maintainable.

From idea to production in 14 days

I ship production-ready AI features into your SaaS product in 2 weeks.

Ex-Pleo. Ex-ESA. 7+ years shipping code that can't break.

I've shipped RAG search, agent systems, and AI automation into production — including my own SaaS products. Yours could be next.

14-day delivery. €5K fixed. No hourly billing, no scope creep, no pitch decks.

Most CTOs hit these walls

The three problems that stall AI adoption at B2B SaaS companies

Your investors want AI features yesterday.

You're under pressure to ship AI, but your engineering team is at capacity and hiring an AI engineer takes 6 months.

You've seen demos, not production code.

Most AI prototypes break at scale. You need someone who's shipped AI into production, not someone who just wrapped an API.

You don't know where to start.

RAG? Agents? Fine-tuning? The landscape is overwhelming. You need an engineer who can cut through the noise and ship what actually moves your metrics.

Is this right for you?

This is for you if…

You're a B2B SaaS with paying customers
You have a specific problem AI could solve
Your engineering team can maintain the code after handoff

This is NOT for you if…

You're pre-revenue and need an MVP built from scratch
You need ongoing AI model training or data science
You want a chatbot wrapper with no backend integration

The 2-Week AI Sprint

How it works — from first call to code in your repo.

Day 1–2

Discovery & Scoping

I audit your product, identify the highest-impact AI feature, and deliver a detailed implementation plan. You'll know exactly what I'm building and why.

Day 3–12

Build

I build the feature in your codebase, your stack, your repo. Daily async updates via Loom or Slack. Working feature in staging by day 8.

Day 13–14

Handoff

Full documentation, tests, and a walkthrough call. Your team can own it from day 15.

What's included

Production-ready code merged into your repo

Documentation and architecture decision records

2 weeks of bug fixes and code questions post-handoff

Sprint deliverables

Structured data extraction from PDFs, invoices, or contracts

Semantic search across 10,000+ internal documents

LLM-powered classification or tagging pipelines

AI-generated content from structured input (descriptions, summaries, reports)

Agent workflow that chains 3–5 tools to complete multi-step tasks

Conversational interface over your existing API or database

Ready to start? Book a call →

From the blog

How Much Does AI Integration Cost in 2026?

A breakdown of AI integration pricing — from agency projects to fixed-price sprints.

AI Sprint vs Hiring Full-Time: Which Is Right for Your SaaS?

A comparison of fixed-price AI sprints versus hiring a full-time AI engineer.

Selected Work

Shipped products, real users.

Earendel Platform

Conference management SaaS serving 8+ academic institutions across the US and Europe. Full lifecycle from call for papers to attendee management — used by 1,000+ researchers.

Calendar0

AI-powered macOS menubar calendar with natural language scheduling and Google Calendar integration. 1,000+ daily API requests from 100+ active users.

ShadowGit

Architecture governance platform with real-time UML generation and AI guardrails. Integrates into developer workflows via MCP servers — 45+ GitHub stars on open-source MCP component.

Some of my work at AFL Solutions

One sprint. One price.

Most AI agencies charge €50K–€300K+ for multi-month engagements. I cut the overhead, not the engineering.

2-Week AI Sprint

Fixed scope, fixed price, no surprises.

€5,000

Next sprint starts

Limited to 2 sprints per month

Discovery call + scoping document

Implementation in your codebase

Daily async updates

Full documentation & tests

Walkthrough & handoff call

2 weeks of bug fixes post-handoff

Delivery guarantee

If the delivered feature doesn't meet the agreed spec from the scoping document, I'll fix it for free — or refund in full.

Need team training on AI tools instead? Let's talk

Frequently Asked Questions

Straight answers. If yours is not here, ask me on a call.

Pricing & Scope

The Sprint

Working Together

Let's ship your AI feature.

Book a 30-minute call to see if a sprint makes sense for your product. No pitch deck, no fluff — just a conversation about what you're building.