AI is changing how teams ship.
Go from AI tool adoption to team impact and product velocity.
We work with executive leaders across engineering, product, and design to find one high-impact AI opportunity and ship a live system in 14 days — working code and a blueprint your team keeps.
The problem
14-day AI sprint
The result
Fixed fee · Full code ownership · No retainer
€15K. One invoice. You own everything.
The AI Adoption Gap Is Real — and It's Not a Technology Problem.
“The gap is not the tools. It is that nobody has made the first move that makes all subsequent moves believable.”
The Old Way vs The WedgeAI Way
Your team has AI tools. You're not close to AI-native. Here's why — and how to fix it in 14 days.
The Old Way
- Your team adopted AI tools. Delivery speed hasn't changed.
- Engineers, PMs, and designers experimenting individually — no shared system
- Codebase not ready for agents — nobody has a plan to get it there
- PMs vibe-code prototypes that nobody knows how to ship
- Paid for AI strategy. Got slide decks and a retainer.
The WedgeAI Way
- AI in production on Day 14 — measurable change, not a pilot
- Engineering, product, and design aligned on one shared way of working
- Codebase prepped for agents from Day 1 of the sprint
- PMs, designers, and engineers all shipping with AI by the end
- Working code + implementation blueprint your leadership team keeps
How the 14-Day AI Sprint Works — Day by Day
One tight scope. Agreed in writing before we write a single line of code. Then we build, test, and demo it — on your real data — in 14 days.
Day 1–2: We Embed. We Map. We Find the One Problem Worth Solving.
We work with your executive and senior technical leads to identify where AI will create the most immediate, visible impact across your engineering, product, and design operation. One specific target. Agreed in writing before we write a line of code.
Day 3–12: 10 Days Building on Your Real Data — You See Progress Daily.
We build inside your environment on your actual data. Your engineers are involved throughout — not as observers, but as participants. Daily progress updates so you see the work in progress, not just a final reveal. When we hand it over, they know exactly how it works and how to extend it.
Day 14: Live Demo. Full Codebase. Everything Handed Over.
Working system. Full codebase. Documentation and internal playbook. No retainer pitch. You decide what comes next — with something live already in your hands.
Build like a team 10× your size.
What an AI-native engineering day actually looks like.
A 3-person team. The output of a 30-person one.
Decide
Pick 3 features. Write tight specs — what to build, how it's tested, what the edge cases are.
Launch
Assign each spec to a coding agent. Step away. No context switching.
Unblock
Check agent status. If stuck, resolve in minutes.
Ship
Review output against spec. Validate. Merge what's ready.
The test suite grows every run. The gap between them and everyone else widens every week.
Product & Engineering
Product teams with Claude Code embedded into their development workflow close tickets faster and ship AI features without pulling senior engineers off complex work. Your leadership and engineering leads leave with the blueprint for how AI-assisted development becomes standard practice across the entire product team.
Your team leaves knowing how to extend this.
Customer Support Triage
Most support queues are full of the same 20 questions. We build an AI triage system that classifies, routes, and auto-resolves inbound tickets — dropping first response from hours to minutes. Your leadership leaves understanding exactly how to apply AI to the next support challenge without starting from scratch.
Your team leaves knowing how to extend this.
Internal Knowledge Assistant
When institutional knowledge lives in three people’s heads, the whole business slows down every time one of them is busy. We build an AI knowledge assistant trained on your actual documents and data. Your leadership leaves with the framework for how to build knowledge infrastructure across the entire organisation going forward.
Your team leaves knowing how to extend this.
Document Intelligence
Your team shouldn’t spend hours extracting data from PDFs and entering it into spreadsheets. We build document intelligence that does it automatically — above 99% accuracy. Your leadership leaves knowing how to identify and scope every other manual document process that AI can replace.
Your team leaves knowing how to extend this.
Voice AI Agent
A voice AI agent handles inbound calls the way your best team member would — taking orders, booking appointments, triaging queries — 24/7, without hold times or additional headcount. Your leadership leaves with a clear framework for evaluating where voice AI applies across the rest of the business.
Your team leaves knowing how to extend this.
Agentic Workflow Automation
Some workflows are too complex for simple automation — they need decisions, multiple systems, and human-level judgment at each step. We build multi-step AI agents that handle the full sequence end-to-end. Your leadership leaves knowing how to identify, scope, and evaluate agentic solutions for every complex process in the business.
Your team leaves knowing how to extend this.
Lead Qualification Agent
When SDRs spend 60% of their time on leads that will never convert, you’re paying top performers to do data work. We build a real-time lead scoring agent trained on your closed-won and closed-lost data. Your leadership leaves with the framework to apply AI across the rest of the revenue pipeline.
Your team leaves knowing how to extend this.
AI-Assisted Reporting
Instead of someone spending Friday pulling numbers from four systems to write the same report they wrote last week, AI does it automatically. Your leadership leaves understanding exactly how to identify and automate every recurring intelligence task across the business.
Your team leaves knowing how to extend this.
Company-Wide Knowledge System
A company-wide AI knowledge system is more than a chatbot — it’s a living layer across your entire organisation, trained on your processes, products, and history. We build the foundation. Your leadership leaves with the architecture and implementation principles to scale it across every team and function.
Your team leaves knowing how to extend this.
Business Second Brain
Your business generates insights every day that nobody has time to synthesise. A business second brain connects your operational data, customer signals, and internal knowledge — surfacing what matters, when it matters. Your leadership leaves with the framework for how AI-powered intelligence becomes a permanent part of how the business makes decisions.
Your team leaves knowing how to extend this.
Not sure if your problem is a fit? Book a free call — we'll tell you in 30 minutes.
You don't have an AI problem. You have a first-move problem.
WedgeAI is built for the leaders responsible for engineering, product, and design — who know AI should be changing how their teams operate, but haven't yet found the right entry point.
Your codebase is not ready for agents — and you know it.
Your engineers are using AI tools individually. Some are using them heavily. But individual adoption has not changed how the team ships, and the gap between where your codebase is and where it needs to be for agents to work properly is growing.
You are expected to have a position on this. A plan. Something credible to show leadership beyond "we have licences."
Meanwhile, ungoverned individual tool usage is quietly introducing data and security exposure nobody has formally addressed.
What WedgeAI does for you
We identify one specific, high-leverage part of your codebase. We build the AI system around it — with your engineers alongside us, not watching. In two weeks your team has a working result, a repeatable approach, and the confidence that comes from having done it once properly.
Your product managers are building prototypes. They are not making it to production.
When prototyping with AI becomes nearly free, product managers start shipping working mockups — and expecting the build cycle to match. It does not. The specification-to-design-to-build-to-ship process has not changed, and the gap between what your team can imagine and what actually ships is widening.
The role itself is shifting. Engineers are becoming reviewers. Product managers are moving closer to the code. Nobody has redrawn the lines yet.
What WedgeAI does for you
We sit with your leadership, identify where the handover model is breaking down, and build the AI system that demonstrates what the new workflow looks like. Your product and engineering leads leave aligned — not just from a session, but from having built something together.
Your designers can generate working front-end code. They cannot get it to production.
The capability exists. Designers on your team are using AI to produce real, working front-end output. But there is no established path from what they generate to what gets deployed — and without that path, the capability sits idle and frustration compounds on both sides of the engineering-design boundary.
The teams closing this gap are shipping faster. The teams that are not are watching the distance grow.
What WedgeAI does for you
We find one specific design-to-production workflow, build the AI system that closes the gap, and hand it over with a playbook your team can use to run the next one without us. Your designers and engineers leave with a shared working model — not a workshop takeaway.
Not sure which describes you most? It is usually all three. Book a 30-minute call — we will tell you where to start.
Voice AI for Restaurant Phone Ordering
Lezzetli & Spice Haven — two restaurant brands
Lezzetli and Spice Haven came to WedgeAI with a specific bottleneck. Peak-hour phone orders were overwhelming their team, revenue was leaking through missed calls, and staff were spending most of their time on repetitive order-taking. We ran a leadership session to find the highest-leverage entry point. The answer was the phone queue. Scoped, built, and live in 14 days.
The Challenge
High volume of inbound phone orders was creating significant staff overhead across both brands. Peak hours meant missed calls, frustrated customers, and lost revenue. Manual order-taking left no room for upselling.
The Sprint
We ran a discovery session with leadership to identify where staff time was leaking. One target emerged: the phone queue. We built a voice AI agent integrated end-to-end with Flipdish and Stripe — handling orders, cross-sells, and payment autonomously. Their team was involved throughout and understood the system before handover.
What Was Built
- Natural language voice ordering with Flipdish menu integration
- Real-time payment processing via Stripe
- Intelligent cross-sell prompts based on order composition
- Fallback to human agent for complex queries
- Dashboard for call analytics and order monitoring
What the Leadership Team Left With
Beyond the voice agent, leadership left with a clear picture of where AI applies next across their customer journey — and the decision-making principles to scope future initiatives themselves.
What makes us different
Operators, not consultants.
We have built AI-native products. We write the code, run the sprint, and hand over the working system. Consultants give you a plan. We give you a result you can demonstrate.
Fixed fee. One invoice.
No open-ended retainer. One sprint, one deliverable, one invoice. You can approve it without a lengthy procurement process.
We do not oversell the scope.
The wedge is not the whole door. It is the entry point that makes everything else possible. We are precise about what we promise because our reputation depends on what we actually deliver.
Your team leaves with the capability, not just the output.
We build alongside your engineers, not instead of them. The goal is a team that can run the next sprint without us.
Builders, Not Account Managers.
AI products built and deployed for global organisations across travel, financial services, and enterprise software. 16+ years of product and engineering leadership.
Rahil Nazir
Founder, Strategy & Product
16 years of product and engineering leadership. Former CPTO. Co-founder of PRDGPT. Deep expertise in agentic systems and LLM product design.
Leads client discovery, AI Sprint scoping, and delivery quality.
Charlie Healy
AI Consultant, Delivery Lead
Led AI solutions at global scale across travel and financial services. Enterprise consulting discipline combined with a technical delivery mindset.
Runs the Discovery Workshop and manages client relationships end-to-end.
Ayaan Javed
AI Engineer, Builder
Specialist in agentic systems and voice agent architectures. Proficient in Node.js, Python, LLM integration, and RAG pipelines.
Leads the 10-day build sprint — the person who ships.
Transparent Pricing
Fixed fee. Fixed scope. No surprises.
- Fixed scope agreed in writing post-workshop
- 100% client-owned codebase
- Full documentation & deployment guide
- AI implementation framework — your leadership team's blueprint for what to build next
- Zero lock-in, zero retainer pressure
- Live stakeholder demo on Day 14
- Built on your actual data — not a mock dataset
No commitment. 30-minute conversation.
Common Questions
Straight answers about the sprint, the leadership framework, and what your team walks away with on Day 14.
What makes WedgeAI different from just hiring a dev agency to build AI?
A dev agency builds what you spec. WedgeAI does two things a dev agency doesn’t. First, we run a practical Discovery Workshop with your leadership team — not to gather requirements, but to identify the highest-value AI opportunity in your business and give your leadership the framework to keep implementing AI independently after we’re gone. Second, everything we build is scoped to a binary outcome: it either works by Day 14 or it doesn’t. You’re not paying for months of work before you see proof.
What is the AI Leadership Workshop and why does it matter?
The Discovery Workshop is Days 1–2 of every sprint — but it’s not a standard requirements-gathering session. It’s a structured working session with your leadership team where we map your operations, identify your highest-value AI opportunities, and agree one specific binary outcome to prove in 14 days. Your leadership team doesn’t just observe — they leave with a practical AI implementation framework: a clear view of where AI fits across your business, what to prioritise next, and how to evaluate future AI initiatives without needing to hire a consultancy every time. The sprint solves one problem. The framework helps you solve the next ten.
How much does an AI Sprint cost?
€15,000 fixed fee per sprint — everything included. The Discovery Workshop, the 10-day build, the live demo, the full codebase handover, and the AI implementation framework for your leadership team. Payment splits across three milestones: €2,000 deposit on booking, €6,500 at sprint kickoff on Day 1, and €6,500 on demo delivery on Day 14. No hidden costs, no retainer, no follow-on pitch.
What does my leadership team actually walk away knowing?
After the Discovery Workshop your leadership team has a mapped view of your highest-value AI opportunities across the business, plain-English guidance on where AI fits in your operations and where it doesn’t, the decision-making principles to scope and evaluate future AI initiatives independently, and a reference implementation your engineering team can extend without starting from scratch.
What happens after Day 14?
On Day 14 you receive the full codebase, documentation, deployment guide, and AI implementation framework. There is no retainer pitch, no lock-in, and no pressure to continue with WedgeAI. You own everything and you decide what comes next — with working software already in production and a leadership team that knows how to scope and evaluate the next AI initiative.
Do I own the code?
Yes — 100%. You receive the complete codebase, documentation, and deployment guide on Day 14. It transfers to your own repository. WedgeAI retains no rights, access, or ongoing involvement unless you choose to work with us again. Zero lock-in.
Who is WedgeAI built for?
WedgeAI works best for startups, SMEs, and enterprise innovation teams where leadership wants to move on AI but the business doesn’t have the internal expertise, capacity, or confidence to run a 6–18 month transformation programme. If you lead engineering, product, or design — and individual AI adoption in your team has not translated into delivery speed — we are built for you.
What types of AI can WedgeAI build in 14 days?
We’ve shipped production AI across voice agents, internal knowledge assistants (RAG), document intelligence and extraction, AI customer support triage, agentic workflow automation, lead qualification agents, and AI-assisted reporting. If your use case can be scoped to a clear binary outcome in 14 days, we’ll tell you honestly in the first call whether it’s a fit.
Find the wedge.
One conversation. We will tell you honestly whether we can help, and what the right entry point looks like for your organisation.
Talk to us →