Buildwhat matters today.Engineerfor a dynamic tomorrow.Reimagineyour competitive edge.
We enable organizations to modernize systems, harmonize data, and transform operations. We bring a rare combination of strategy and engineering expertise to deliver resilient and impactful technology.
Where You Find Yourself
Which path you take depends on what your platforms and data can already carry, and where you have invested already.
Path One
Get the data, processes, and platform right
Foundations: infrastructure, data, and the systems the business runs on
Salesforce, ServiceNow, data and integration work, delivered by people who were doing it long before it was called AI. CRM builds, migrations, data harmonization, enterprise applications – done properly, and built so that what comes next can sit on top of them.
Quick Start: {{ a.name }}
Path Two
Change what the business does, and how
Reinvention: AI that changes what you sell, not just what it costs
AI that unlocks new opportunities – and even new business models – beyond marginal productivity gains. Strategy, pilots that reach production, and agents that hold up under real volume.
Quick Start: {{ a.name }}
How We Think
Technology follows strategy, not the other way around.
AI is a structural shift on the scale of the internet or the cloud. It changes what an organization can be, not only what it costs to run.
That's why we don't start with tools. We start with:
Not everything is AI.
AI is not an answer to everything. Nor does it enable us to skip certain foundational steps, such as data integration and harmonization. In its applied form, it is critical to always apply it toward defined, achievable outcomes – and above all, avoid the efficiency trap.
Industries
AI is transforming every industry and function.
We're here to help you become an AI-native organization – one that learns faster, serves better, and creates value in entirely new ways.
Explore below to see examples of how your industry could tangibly benefit from AI technologies. We have lots more, so reach out to us to identify ones that best fit your business and your ambitions.
Core Industries
Ideas for Further Industries
{{ activeName }}
{{ activeEff }}
{{ activeOpp }}
We have ideas here, and they are the good ones. Those we would rather tell you in person than post on a website your competitors can read. Get in touch.
AI Beyond Efficiency
Most companies use AI to do the same things faster and cheaper. We use it to help you do different things altogether.
That usually means disrupting yourself before someone else does it for you. The organizations that gain from this shift are the ones willing to question their own model while it is still working.
{{ b }}
If your only reason for using AI is to justify workforce reductions, we are not the right partner for you.
Realizing Value From AI
AI pays back in three different ways: it lowers what you spend, it opens revenue you could not reach before, or it changes the business itself. They are not stages and you do not have to pick one, but naming which outcome a piece of work is aiming at keeps the expected return honest.
Efficiency AI
Doing the same things faster and cheaper. Real savings, but a ceiling: everyone in your market can buy the same tools and reach the same place.
Efficiency pays for the program.
Opportunity AI
Doing things that were not possible before. New propositions, new service models, new ways to earn revenue – where the advantage compounds instead of levelling out.
Opportunity is why you run it.
Reinvention AI
Changing what the organization is, not only what it does. The work that moves a business into a different position in its market. Disrupt yourself before someone else does.
Reinvention keeps you competitive.
Top Causes of AI Misfires
Six gaps, and every one of them is visible before a line of code is written.
The failures reported over the past year are rarely failures of the models. The same six gaps appear again and again, and every one of them is visible before a line of code is written.
This is what we look for at the start of an engagement, and what our methodology is built to close.
Data that was never ready
Quick Start: {{ a.name }}
The pilot runs on a clean extract; production needs the real estate of systems, permissions and quality rules behind it. Data quality and access are the most commonly named barrier to return, ahead of the model.
How we close itWe establish what the solution needs from your data before committing to a build, and treat the gap as work in its own right.
Value defined after the build
Quick Start: {{ a.name }}
A solution launched without an agreed measure cannot be defended at the next budget round, which is where many programs quietly end.
How we close itThe measure is agreed up front, in your numbers, and the prototype is instrumented against it.
Governance retrofitted
Quick Start: {{ a.name }}
Controls added after a tool has spread cost more and trust less. Inadequate risk control is one of the three reasons Gartner gives for cancellations.
How we close itAccess boundaries, human checkpoints and audit trails are designed in at the architecture stage.
A pilot with no route to production
Quick Start: {{ a.name }}
Demos are built to impress rather than to scale, so integration, identity, monitoring and support are discovered only after the decision to proceed.
How we close itWe build the narrow slice end to end, on real data, so the route to production is proven rather than assumed.
Cost that only appears at volume
Quick Start: {{ a.name }}
Per-call pricing looks trivial in a pilot and compounds once agents chain steps and run unattended. Escalating cost is the first reason cited for projects being scrapped.
How we close itModel selection, token discipline and a cost per outcome are part of the design, not a later optimization.
The tool chosen before the problem
Quick Start: {{ a.name }}
Much of what is sold as agentic is a rebadged assistant or automation, and many use cases positioned as agentic do not need an agent at all.
How we close itWe only recommend a solution, AI or not, when it is the right instrument for the job.
The Evidence
Across 4,454 chief executives, 56% reported neither increased revenue nor reduced costs from AI in the previous twelve months. Only 12% reported both.
Source: PwC, 2026 Global CEO Survey
Gartner expects more than 40% to be scrapped by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls – not model capability.
Source: Gartner, June 2025
Only 4% of operations leaders report AI fully embedded, no significant barriers to scaling agents, and investments delivering as expected. Data quality and access lead the list of barriers to return.
How We Work
Think big. Start small. Scale fast.
We begin with bold ideas, validate them through rapid pilots, and scale only what proves its value. Every engagement is grounded in outcomes agreed in advance.
No endless roadmaps. No open-ended programs. No chasing shiny objects in search of purpose.
We only build what works and pays for itself.
{{ p.name }}
{{ p.lead }} {{ p.body }}
Napotek AI Capability Model
We pick up wherever you are in your journey.
Each stage has defined outputs, so you can see what you would actually get and where the work would start.
Rate where your organization stands at each phase below. Your ratings stay in your browser and shape what we suggest in My Path.
{{ st.name }}
{{ st.desc }}
{{ st.noteText }}
Quick Start: {{ sr.name }}
Tell Us About You
Rate Where You Are on Your AI Journey
How familiar are you with AI technologies and their business uses?
Answer a few more questions to receive directional guidance. Get in touch with us for a more focused conversation.
Rank What Matters Most to You
Drag a row by its handle or use the arrows to move it. Order these outcomes from most to least important.
-
{{ o.rank }}
{{ o.label }} {{ o.def }}
Shape Your Path
Five answers shape what we suggest. Two are on this card; the others are your industry, the services that matter to you, and where you stand at each delivery stage. Pick any one and we'll take you there.
Where You Are Today
What we'd do first, in your case.
Summary of your inputs
- {{ p.rank }} {{ p.label }}
- {{ p.label }}
Consider these starting actions:
Selected based on your My Path inputs
- {{ r.name }} {{ r.weeksLabel }} {{ r.because }}
These are shaped by what you told us. Tell us more and they sharpen, or just ask.
None of our starter engagements is the right fit for where you are. The conversation is the better starting point. Start the conversation.
You saved {{ q.name }}, but {{ q.blocked }}.
Also saved: {{ q.name }} · {{ q.weeksLabel }}
Quick Starts
Fixed scope, defined duration, and enough to learn something before you commit to more.
Each accelerator is a fixed piece of work with a defined output, mapped to a stage of the methodology above. None of them requires you to commit to a program first, and all of them are designed to end in a decision rather than in a request for more budget.
{{ e.stageTitleCaps }} {{ e.name }}
{{ e.blurb }}
{{ e.durationLine }}
Team
What You Get
{{ g.text }}
Right for You If …
{{ f.text }}
Services
One partner to compose the strategy and deliver the solution.
Quickly, safely, and against measures we agree before we start.
Click the services that matter to you – they shape what we suggest.
- {{ item.label }}
About Us
What would a consulting company look like if it were built for the AI era from the start?
Follow us on LinkedInNapotek was built AI-native from day one. That means every strategy, experiment, and implementation is designed around how intelligent systems can reshape services, operations, and experiences, not just optimize them.
Founded in London by a technology leader with decades of enterprise experience, including senior roles in the Salesforce ecosystem. The name comes from Cluj-Napoca, where our founder is from originally: a city known for resilience, creativity, and technical excellence. That spirit shapes how we work.
Napotek serves clients across Europe and the United States, with a presence in Washington DC.
London Porto Washington DCTechnologies
Technologies We Work With
We go deep on a small set of core platforms – Salesforce and Agentforce, ServiceNow, AWS, Data 360 and MuleSoft – alongside the leading foundation models, and stay fiercely independent in our advice. Technology is a means, not the message.
Delivery Partners
Partners We Work With
We work as a collective. Our partners bring experience and capability in areas that complement ours, so a program gets the right depth without the overhead of a large firm.
MTX brings large-scale public sector and enterprise Salesforce delivery, with the bench depth to take a proven pilot national.
Libra Collective is a network of senior independent specialists, assembled per engagement rather than staffed from a pyramid.
Bridge AI is an applied AI engineering practice – agent architecture, model selection and evaluation for solutions heading into production.
TRH is an AI-powered consultancy specialising in Salesforce, ServiceNow and emerging technologies, accelerating enterprise digital transformation.
Polarising adds Iberian delivery and data engineering capability, closely aligned to our Porto hub.
The Rendon Group is a strategic communications consultancy with decades of work alongside governments and organizations worldwide.
apphero.tech is an AI-augmented Salesforce partner for local government and higher education, shipping working solutions in weeks.
Formal partnership agreement pending, but we already consider them our friends.
Start the Conversation
AI is moving fast.
Strategy alone isn't enough, and experimentation without direction doesn't scale.
Napotek helps you do both.
Thank you.
We'll come back to you shortly. If you'd rather talk sooner, write to hello@napotek.com.