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Governance-first AI partner

We design, build, and operate AI
inside real workflows.

AI Tappers is a governance-first AI consultancy. We build production AI systems inside your workflows and your infrastructure. Not demos, not proof-of-concepts. Security, ownership and human oversight built in from day one.

Book a Discovery CallSee How We Work

Expertise

We focus on ownership, governance, and outcomes.

Partnership

Trusted by organisations large and small across many sectors. We don't recommend third-party tools and walk away. We partner with you. The customised AI tools we build are unique to your business. Owned by you.

Discovery

Every journey starts with Discovery. We learn about your business, listen to your people, and analyse how AI may help. Then we report and recommend. All for a small fixed-fee with no build commitment.

The Challenge

The biggest challenges are never about the technology.

Most AI projects never make it to production. Isolated pilots, proof-of-concepts that dazzle in demos but collapse in production. Tool purchases without adoption plans. Activity that looks like progress but produces nothing operational.

The pattern is consistent: a vendor demo impresses leadership, a pilot gets funded, it works beautifully with curated data in controlled conditions, and then it meets reality. Messy inputs, edge cases, users who don't read instructions, systems that need to work at 3 AM on a Sunday. Closing that gap requires engineering discipline, operational thinking, and honest scoping. The organisations that succeed are the ones that treat AI adoption as an operational challenge, not a technology purchase.

Your team is already using ChatGPT, Copilot and other AI tools independently. Sensitive data pasted into tools with zero oversight. Every day without governance is another day of uncontrolled risk.

Free-tier AI tools come with contract terms that most organisations have never read. We have seen contract terms pasted into those tools, commercial disputes escalated because AI-drafted language was identified by opposing counsel, and sensitive operational data shared with models that have no data processing agreement. The question is not whether your people use AI. It is whether you have any visibility or control over how.

Critical knowledge spread across documents, emails, systems and repositories. Teams spend hours searching for information that should take seconds. Employees gather, interpret and synthesise from multiple systems before a single decision can be made.

In every Discovery we run, the same pattern shows up: people lose a meaningful part of each week to hunting for information they already own, and more of it to re-keying, correcting and cross-referencing the same data between tools that do not talk to each other. Multiply that across a department and the cost is significant. None of it is value-adding work, and none of it appears on anyone's job description.

As organisations grow, workflows become increasingly dependent on human interpretation of fragmented information. Documented procedures and actual practice diverge. Regional offices develop their own workflows. The same task gets done dozens of different ways.

The challenge is not that processes don't exist. It is that they break at scale. New hires learn from colleagues, not from the manual. Regional teams develop their own workflows. Standardisation becomes increasingly difficult. Tools are not the solution. Governance, adoption planning, and clear ownership are. Without those, a new platform just adds another silo to an organisation that already has too many.

How We Work

A clear path from challenge to solution.

We work with clients in three phases. No open-ended engagements. No scope creep. Each phase has a defined scope and output, with clear decision points that you control between phases.

Start with Discovery and then you decide where to go from there.

Book a Discovery Call
01

Discovery

Fixed-fee. Four weeks. No build commitment.

Discovery always comes first so we can work out if and how AI may help. We map your operations, identify where AI creates real value, and assess feasibility and risk for each use case. You get a clear recommendation and prioritised roadmap. If nothing is worth building, we tell you.

  • Use-case priority map
  • Value, feasibility, and risk signals
  • Governance requirements
  • Build recommendation
02

Build

Fixed price per build. One challenge at a time. You own the result.

Build creates working solutions that you choose from our recommendations. Each build tackles a single, well-defined challenge with clear acceptance criteria. We work inside your systems, not ours. Every solution fits your governance framework and is designed for real users from the start.

  • Working solution with real data
  • Integration with your systems
  • Governance compliance
  • User adoption plan
03

Support

Three tiers: handover, retainer, or SLA. Your terms.

After Build, you choose the ownership model. Full handover with documentation. A retainer where we monitor and optimise. Or an SLA where we stay accountable for performance.

  • You own it: complete handover
  • We watch it: monitoring retainer
  • We are on the hook: performance SLA

What Makes Us Different

AI that actually works in organisations.

Governance-first

Governance requirements are a named Discovery deliverable, and they become acceptance criteria the build has to pass. Compliance is a gate, not a review at the end.

Your systems, not ours

We build inside your infrastructure, on your accounts, in your workflows. No proprietary platform to stay subscribed to. Configuration, prompts and data stay yours.

Human in the loop

Every decision that carries operational or commercial consequence gets a named human checkpoint. We automate the work, not the judgment.

Ownership by design

Who maintains it, who improves it and who is accountable are settled during Discovery and written into the handover, not left until the project ends.

Built for adoption

Every build ships with a user adoption plan. Done means real users are using it in their own work, not that the demo went well.

No hype. Results.

Discovery can and does conclude that AI is the wrong tool for a problem. You get that answer for the same fixed fee.

Trusted Across Industries

Real organisations. Real workflows.

We have delivered Discovery and build engagements across sectors including global shipping, beverage and FMCG, healthcare, and professional services.

Read the full case studies
Global Shipping
Beverage & FMCG
Healthcare
E-commerce
Digital Agencies
Professional Services
Royal SwinkelsOldendorff CarriersMcAlpinePMG GroupAdsmith DigitalInstitute of Preventative Medicine

“The Discovery gave us a clear view of where AI could support our teams across multiple functions. It quickly translated into deployed AI systems now supporting Marketing, Corporate Communications, M&A and regional operations. This is not an isolated AI initiative. It is becoming part of how our teams operate.”

Sean Durkan

Head of AI & Global Insights, Royal Swinkels

“The Discovery provided a clear and structured view of where AI can support our operational workflows. It reflected the complexity of our operations and identified practical opportunities to reduce manual information work and improve decision-making across teams. It provides a strong foundation for implementing AI in a controlled and operationally relevant way.”

Sönke Hoerlyk

CTO, Oldendorff Carriers

“Marcus and Mattias are aware of all the systems coming out, which makes them very able to guide corporates to make the most of the opportunities.”

Tom S.

Adsmith Digital

“The Discovery process helped us step back and understand where AI can realistically add value in our business. Our focus now is on building internal capability and ensuring our teams use AI effectively before investing in more advanced solutions.”

Ross McAlpine

Managing Director, McAlpine

“You clearly have superb knowledge in this field, with the much-needed emphasis on security.”

Sharne

Institute of Preventative Medicine

“The Discovery sessions helped us better understand how AI can be applied across our workflows in a practical way. It gave us clear direction on where AI can support our teams and how to approach adoption internally.”

Genevieve Richens

Principal, People & Culture, PMG Group

The Team

Every engagement is led by the founders.

Every project is led directly by Marcus and Mattias. No account managers, no handoffs, no junior teams learning on your budget.

Marcus Cronan, Commercial Lead & Governance at AI Tappers

Marcus Cronan

Commercial Lead & Governance

Commercial lead and governance. 25+ years in digital media and enterprise delivery. Runs Discovery, owns the client relationship, and holds every engagement accountable to measurable operational value. Works with CEOs and senior leadership to move organisations from fragmented experimentation to secure, adoptable systems.

LinkedIn
Mattias Hjemgaard, Technical Authority & Architecture at AI Tappers

Mattias Hjemgaard

Technical Authority & Architecture

AI engineer and systems architect. Designs and delivers AI solutions that work inside real infrastructure. Responsible for technical quality, architecture decisions, and making sure what gets built actually works in production.

LinkedIn

We work with a team of experienced AI engineers and integration developers who scale with each engagement. Typically six to eight people across architecture, development, and quality assurance. Our team is drawn from a large network we have built across years of AI delivery work and active participation in AI engineering communities.

Every project gets the depth and scale of resources it needs without the overhead of a large consultancy.

Questions

What decision-makers ask us first.

Discovery is a fixed fee agreed up front and runs for about four weeks. You know the cost before it starts and it does not move. You get a prioritised set of use cases with value, feasibility and risk signals, and a recommendation.

No. Discovery carries no build commitment. You get the recommendation either way, and if the honest answer is that AI is not the right tool for the problem, that is what we will tell you.

You do. We build inside your infrastructure using your accounts, and the configuration, prompts and data stay yours. There is no platform to stay subscribed to and no lock-in to us.

Yes. We work in your environment rather than moving your data into ours. Governance and security requirements are captured during Discovery and become acceptance criteria for the build.

Human in the loop is a design constraint, not a setting. Decisions that carry operational or commercial consequence get a named human checkpoint. We automate the work, not the judgment.

You choose the ownership model. Full handover with documentation, a retainer where we monitor and optimise, or an SLA where we stay accountable for performance.

From owner-run businesses to global enterprises. The engagement model is the same. What changes is scope, governance requirements and the number of stakeholders involved.

Most organisations we meet are, whether or not anyone has approved it. Discovery starts by finding out what is actually in use and what data is going into it, because you cannot govern what you have not mapped. The goal is not to shut it down. It is to bring the useful parts inside a boundary you control.

Get Started

Start with Discovery.

The first step is Discovery. Tell us about your organisation and we will reply within one business day to set up a short call and walk you through how Discovery works.

Discovery is fixed-fee with no build commitment. If AI is not the right answer, we will tell you.

marcus@aitappers.io
mattias@aitappers.io

Anything it would help us to know before we get in touch.