I was referred to Wavect by a colleague, and from the beginning, I was impressed with how Wavect focuses its services, generating a unique value proposition by combining web3 development and programming with education to contribute to the enrichment of this globally forming community. We all see the benefits of its continued growth and widespread adoption in various fields.
Kevin, the CEO and founder, has been incredibly fast and accessible from the start. He always demonstrates a willingness to support and has a high level of empathy to understand what his clients need and how he can contribute. He also shows great flexibility in approaching projects based on the stage and budget of his clients.
Wavect is an excellent option to have a highly qualified external team that is committed and participates as if they were an internal part of the team. They not only provide services in blockchain development, DApps, and smart contracts, among others, but also offer project management services to integrate all aspects of a complex web3 project. Additionally, they excel in providing education services.
In just a few months of interaction, Kevin has become a highly valuable advisor to Polibit, and we aim to continue expanding the scope of Wavect’s services towards Polibit. We are confident in their expertise and experience.
AI Enablement That Actually Takes Work Off Your Team
Put AI to work on the repetitive tasks your team already knows well. We help choose a useful starting point, adapt the workflow and train the people using it, so you can judge whether the change saves work in practice.
Cancel any week. Last week refunded if we didn’t blow you away. No hours tracked.
- 100+ products shipped
- 10+ years experience
- No-Bullshit Guarantee
DIRECT ANSWER
AI enablement turns suitable internal workflows into governed, working AI systems through workshops, process mapping, implementation, and handover.
BEST FOR
- Austrian teams that want to identify and implement useful internal AI workflows.
- Organizations that need adoption, cost control, data handling, and technical delivery considered together.
NOT BEST FOR
- A customer-facing AI product that needs a dedicated product build.
- A workshop with no owner, process access, or path to implementation.
Why internal AI stalls
95%
of enterprise GenAI pilots show no measurable P&L impact (MIT, 2025)
The technology is rarely the reason. Adoption stalls when the wrong process gets automated, no one owns the running system, or cost and compliance kill it late. Our antidote is boring, and it works:
- ✓Map the real process first. We score where AI pays off and rule out the steps a form or a rule already handles. Automating the wrong step is how this fails.
- ✓Measure before you scale. KPIs and a dashboard from day one, so 'is it working?' has a number, not an opinion.
- ✓One workflow to production, then expand. We ship a single high-value workflow with guardrails, prove the saving, and grow from there. No big-bang rollout.
What We Offer
Workshops & Talks
We come to your team (on-site or remote) and show what AI can realistically do in your context. Formats range from a keynote to a half-day interactive session to a multi-day hands-on workshop, co-delivered with a domain expert when the topic calls for it. You leave knowing what to automate, what to leave alone, and how to start.
Done-for-You AI Setup
We map your processes, score where automation pays off, and build it into your existing systems. Audit, architecture, implementation, guardrails and monitoring, handover docs, and optional maintenance. You get a working setup on your own stack, not a slide deck and a pilot that stalls.
From audit to handover
Every done-for-you engagement runs the same disciplined path, so nothing ships by accident and nothing important gets skipped.
Audit
We map how the work happens today and where AI realistically helps.
Score
Rank the candidates by payoff and risk. Rule out what should not be automated.
Architect
Model choice, local-vs-API, routing, data residency, and a cost budget, decided before we build.
Implement
Built into your existing systems, not a parallel sandbox that never reaches anyone.
Guardrails
Monitoring, evals, and fallbacks so a wrong answer is caught before it reaches a customer.
Handover
Runbooks plus team upskilling. You own and run it; maintenance is optional, not baked in.
Built into every setup
Cost & Efficiency Engineering
AI gets expensive fast when it’s wired up naively. We manage token and context usage, route each task to the cheapest model that can actually handle it (semantic routing), cache aggressively, and add fallbacks. The result stays affordable as usage grows.
Compliance-First Setups
When sensitive data or regulation is in scope, we run local or open-weight models in your own environment, keep data resident where it must stay, and map the setup to the standards you answer to (GDPR, the EU AI Act). Adoption stops being blocked by the legal question.
Compliance, handled
For EU teams the blocker is rarely capability. It is where the data goes and who can read it. We design for that from the start, not as an afterthought.
- ✓EU AI Act, on the calendar. Article 50 transparency duties apply from 2 August 2026. Stand-alone high-risk duties now apply from 2 December 2027, and product-embedded high-risk duties from 2 August 2028. Your counsel decides the risk classification; the inventory, documentation, human oversight and logging work is a separate engagement, EU AI Act Readiness.
- ✓Data residency that holds up. Map hosting location, provider access, subprocessors and transfer arrangements separately. EU hosting or self-hosting alone does not establish compliance. We implement the technical controls agreed with your legal and security owners.
- ✓Semantic routing. Trivial work goes to a cheap model, sensitive work to a local one. The router keeps cost down and keeps data where it has to stay.
- ✓Audit trail by default. Per-request logging, so you can show a regulator what ran, on what data, and why.
Tools and standards we work to
We bring the tooling and the rules, so you don’t have to assemble them under a deadline.
How we make AI enablement actually work
- ✓Three competencies in one team. Industry and process know-how, tooling, and AI engineering together. Most vendors bring one and guess at the rest, which is how the wrong step gets automated.
- ✓Real value, not theater. We map your actual process and automate only where it pays off. If a manual step or a simple script beats AI, we’ll say so, even when it shrinks the engagement.
- ✓On your infrastructure. Your cloud, your data, your tools. We work with what you have instead of forcing a rip-and-replace, so there’s no lock-in to us or to a vendor.
- ✓Production-grade, not pilots. Every setup ships with guardrails, monitoring, and runbooks, and your team gets a handover. Pilots that never reach production are the default failure mode, and we build to avoid it.
- ✓Knowledge transfer, not dependency. We upskill your team as we go and document what we build. The goal is that you own and run the setup, not that you stay on the phone with us forever.
How often is the honest answer "don’t automate this"?
Often.We would rather rule a process out than ship shelfware.
Talk to an expert
From workshop to pilot decision
Example outputs for an internal AI assessment. We scope one workflow with the people who use it and own its data.
A workflow with an owner
Map the task, handoffs, data access and current effort. Select the part of the process worth testing.
A pilot your team can evaluate
Representative tasks, expected output quality, human review steps and an operating-cost baseline.
A practical adoption plan
Assign training, rollout and support responsibilities. Set review dates and criteria for expanding, changing or stopping the pilot.
Proof, not promises
At SKD Dresden, workshops and technical reviews narrowed the business case to the use cases worth piloting. Twinsoft AI and Hyperstate AI add hands-on product experience: LLM integration, reliable infrastructure and AI workloads that scale. Strategy and implementation, backed by the work in each case.
Blockchain education, technical and strategy workshops for SKD. An earlier consulting engagement, separate from the Cabinet Coin …
Took a vibe-coded prototype to enterprise pilot-ready, no shortcuts.
Split a GPU-heavy monolith into orchestrated services and swapped self-hosted ML libs for scalable alternatives. Latency and cost …
These are selected projects, not our full portfolio. We have shipped 100+ products since 2018.
What clients say
Kevin is the most knowledgeable person about smart contracts I know! He is sharing his knowledge openly with everyone and strategically building his thought leadership in the Web3 space. I had this amazing opportunity to be a guest on his podcast and I love the way he interviews people and gives value to others! If I ever have a project to implement using blockchain technology, Kevin will be my number one choice to cooperate with. 🚀
Working with Kevin is a real pleasure. He is curious in understanding challenges and at the same time very intrinsically ambitioned in finding the best solution. On top of his undisputed IT-competence his honest and disarming open mind leads to very inspiring relationships. What I value very much is his personal humility towards people. Kevin is a highly recommendable Software-Engineer and a good person who makes an impact.
Independently rated 5.0/5 on Clutch Read the reviews
How can agencies automate proposals and CRM handoffs?
Prepare the right context
Read the relevant deal, approved service descriptions and attributable company facts. Flag missing or conflicting details for the account owner instead of filling them in.Draft with an approval step
Use AI for the narrative and code for prices and totals. A named reviewer checks scope, commercial terms and recipient before the approved version is sent.Keep the CRM and measurement useful
Record the approved document and next task once, even after a retry. Compare preparation time, correction effort and accepted handoffs. Our lead-routing workflow explains the decision step; API integration owns reliable record transfers.
A focused pilot for internal knowledge
Finish the replacement: stop the agreed duplicate work
Make the replacement useful in daily work, then finish the switch. We observe independent repeat use, reconcile results and help the process owner decide when the named duplicate step can stop. We keep reclaimed staff capacity separate from cash expenses actually ended. The fixed package below starts with an already working replacement.
See the illustrative decision, release and handover evidence
One-off package: the acceptance and fee-protection milestones below apply. Weekly-retainer and Fast Lane terms belong to their own engagements.
Workflow adoption and retirement
A real team uses the replacement and stops the agreed duplicate step.
10 business days of observation from the supervised first run; one correction cycle.
- One already working replacement, one workflow, up to 5 users and 2 systems.
- Up to 100 representative records, 2 existing data shapes and 20 agreed cases.
- Baseline, sample setup, observation, reconciliation, archive instructions and retirement decision.
Before booking: A daily-use workflow, accessible data, nominated users, authorized process owner and an existing proportionate recovery route. The software build is separate.
Payment milestones: €3,200 for the independently usable, accepted transition/observation pack; €800 earned only on evidenced, authorized retirement. A blocked retirement or insufficient participation leaves that outcome fee unearned.
Related delivery: MyMerch. Automated manual delivery steps in an existing Shopify business.
Scope, acceptance and fee protection
What earns the fee: Agreed cases reconcile, nominated users finish the job, required records remain accessible and the owner approves stopping the named old step after validation and recovery conditions. If evidence or approval is missing, retirement remains blocked.
Scope limits: Large migration, data repair, new integrations, licenses and material engineering are separate. Retain the old route until safe, including reconciliation of writes after cutover. One correction cycle of up to 5 additional business days; then close or agree new scope.
A fee tied to a result you can verify
For eligible cost-retirement work, €800 of the €4,000 workflow fee is earned only when the agreed net recurring cost reduction is verified by an invoice or effective cancellation within 60 calendar days after observation. The baseline, reduction threshold and new operating costs are agreed before purchase. Eligibility requires conservative forecast 12-month net cash savings of at least 2 times all one-time change costs, including any build. This replaces the retirement milestone, never adds to it. Released staff capacity is recorded separately; no verified event means no outcome fee.
Your agreed milestone is corrected once within 5 business days. If it still fails, its unearned fee is waived or prepaid unearned amounts refunded within 10 business days. If Wavect’s failure makes the whole package unusable, we refund the whole package within the same 10 business days after that correction opportunity. Scope, acceptance and any client/vendor waiting are recorded before booking; we show the reason and revised date when a dependency pauses the affected clock. These package terms are written into your scope and preserve your existing rights. For these packages, business days are Monday to Friday excluding Austrian public holidays; dates use Europe/Vienna. Separately, our satisfaction guarantee covers the agreed fixed-price milestone: its fee is refunded if you are not satisfied, without requiring an explanation.
Less chasing. Clearer decisions.
We prepare. You decide.
On eligible done-for-you work, we target at most 45 minutes of routine sponsor review per week, counting reading, meetings, messages and ordinary feedback across your nominated reviewers. Setup, operator trials and decisions requiring business authority have separate time allowances agreed in advance. We also record total client time. If our preparation causes the routine target to be missed for 2 consecutive eligible weeks, we change the format and take over the extra preparation without an added fee. Fractional Co-Founder remains an active collaboration.
Choose a focused next step
These engagements cover specific needs within this service. Follow the scope that matches your decision.
When one workflow is ready for implementation, an AI Delivery Sprint turns it into a defined release with agreed acceptance and handover.
For hands-on implementation inside your existing team, an Embedded AI Engineer can own a defined AI workflow through delivery and handover.
FAQs
Honest answers about rolling AI out inside your company
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