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DaVinci Dynamics Consulting · Independent strategic AI consultancy

Turn AI ambition into measurable
business performance.

We help enterprises redesign critical workflows, equip their people and put the right controls in place — so AI stops being a pilot and becomes a practice.

Book a discovery call

02 · Proof

Results you can
inspect.

Every claim carries a baseline, a measured period and an owner. Here is the short version — the full cases are one click away.

0+person-hours reclaimed daily · FPI EVIT
We created the official LLM category for the National IT Championship — a national-level professional challenge built on industry standards.3 consecutive years · 10,000+ participants
35 → 6 minper tender-research query · Public Procurement Authority
~60–100 h/dayperson-hours reclaimed across the team · FPI EVIT
10,000+competition participants · National IT Championship, 3 years

03 · Choose your context

Where does it
hurt today?

04 · Recognizable problems

Three workflows we
meet everywhere.

Different industries, same frays. Each one has an owner, a measurable baseline and a bounded first fix.

Document-heavy back office

Tenders, contracts and reports read and re-keyed by hand; specialists spend a third of their week moving text between systems.

An agent drafts, a human approves. Research time per document drops from ~35 minutes to ~6 — with every output traceable.

Sales-to-delivery handoff

Commitments made in the proposal evaporate during onboarding; delivery teams re-discover scope and customers repeat themselves.

A structured handoff agent extracts commitments, flags gaps and opens the delivery workspace — the customer never tells the story twice.

Knowledge scattered across tools

Answers live in mailboxes, shared drives and heads. New colleagues take months to become productive.

A RAG-based internal assistant answers with citations from your own documents — adoption measured weekly, not assumed.

05 · A defined starting point

Start with a
diagnostic.

A fixed-scope, 2–3 week engagement that ends in a decision — not a slide deck. You keep every artifact either way.

  • One workflow map of the process that hurts most
  • A measured baseline: volumes, cycle times, error and rework rates
  • Ranked automation opportunities with data and integration constraints
  • A pilot decision brief your leadership can approve, revise or reject

2–3 weeks · fixed scope · 4–6 hours of your team’s time · no prices published — scoped after a first call

07 · People & method

The hands
at the loom.

Multidisciplinary co-creation is not a method we invoice — it is who shows up. Five disciplines, one warp. Your team learns the pattern as we weave it, so the cloth holds after we leave.

Portrait of György Herbszt

György Herbszt

Strategy & Design

20+ years in human-centered product design. 10+ years in strategic and product management. SaaS, AI & ML, marketing automation.

Portrait of József Papp

József Papp

AI Strategy & Innovation

15+ years in digital product and process design. 10+ years in innovation and AI strategy. Telecom & SaaS, digital transformation.

Portrait of Márton Kopp

Márton Kopp

Growth & Marketing

5+ years in marketing and growth strategy. 8+ years in start-up and scale-up environments. SaaS, medtech, and finance sectors.

Portrait of Viktor Csuvik, PhD

Viktor Csuvik, PhD

AI Engineering & Training

Computer engineer with deep Python and AI/ML expertise. Led multiple teams in agile environments. Delivers corporate training and webinars on AI and machine learning.

Portrait of Balázs Erdélyi

Balázs Erdélyi

AI Leadership & Product

15+ years building end-to-end AI products. Deep expertise in personalization, recommender systems, LLMs and GenAI. Proven track record leading tech teams and driving AI strategy.

08 · Explore before meeting

See your decision brief
before the call.

Our self-assessment turns seven focused questions into a one-page Board Decision Brief: one opportunity, an honest capacity model, assumptions, risks and a 90-day experiment. Yours to keep — whether or not we ever talk.

Sample brief — synthetic mid-size logistics company

Opportunity
Automate shipment-status reporting across 3 depots
Capacity
12 people × 3 h/week × 46 weeks ≈ 1,650 h theoretical → ~990 h at 60% realized adoption
Assumption
TMS data export stays available weekly
Risk
Carrier EDI quality — mitigated by human review of exceptions
90-day experiment
90 days, one depot, weekly measurement against baseline

Free · 3 minutes · no email required to see the sample

09 · What happens next

Talk to a person,
not a funnel.

Book a 30-minute call with a senior consultant, or write to us directly. We reply within one business day — with a point of view, not a pitch deck.

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