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A strategy team working over the Tel Aviv skyline, planning where AI belongs in the business
Strategy → Operations → Technology
AI Consulting

AI advisory from the boardroom to the model layer.

Most firms advise at one altitude. We work across all three — strategy, operations, and the technology itself — so the decision, the process, and the system all point the same way. Operator-led, research-grounded, results-proven.

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10K+

Hours of AI consulting delivered

100+

Projects shipped to production

$80M+

Savings & growth created

3

Industry innovation awards

The premise

We help organizations become genuinely AI-driven — embedding AI where it earns its place, and refusing it where it doesn't.

AI value is not won by adopting tools. It is won by connecting the goals of the organization to the right AI capabilities, then changing how the work is actually done. That demands advice at three levels at once: the strategy, the operating processes, and the technology underneath.

Most consultancies live at one of those levels. Kuzmanko was built to move between all three — because the people doing the advising have carried a P&L, re-engineered real operations, and shipped AI systems into production.

A manager and an AI agent working side by side on a business process Human + AI, by design
From AI-aware to AI-driven

AI as the pumping heart of the model, not a bolt-on.

An AI-first organization treats AI as integral to strategy: a source of competitive advantage, operational efficiency, and entirely new growth engines. We help you decide where that is true, and where it isn't, so investment lands where it pays.

  • Identify new growth engines and refresh the value proposition.
  • Design human-in-the-loop processes that maximize both people and AI.
  • Measure the value AI creates, so the result shows up in the numbers.
How we advise

Three levels of AI consulting.

Engage at any single level, or let us connect all three into one transformation, from the decision in the boardroom to the model serving in production.

01
Strategic

Where AI belongs in the strategy.

We connect the goals of the organization to AI capability, turning AI into an integral part of the strategy: a competitive edge, operational efficiency, and new growth, embedded where it's right and refused where it isn't.

Adapted operating & business models

Identify new growth engines and update your value proposition. We build a model where AI is not an add-on but the engine that produces competitive advantage and efficiency.

AI policy & governance

Define the rules of the game: who may use AI, with which tools, and under what limits. A single standard that enables fast innovation while protecting company assets hermetically.

AI risk & regulation

Stand up control mechanisms and map legal, ethical and operational exposure. We keep you ready for emerging regulation (such as the EU AI Act) and prevent leakage of sensitive data or reputational harm.

Leading the AI transformation

We don't only advise. We lead full, end-to-end AI transformation programs inside the organization, and stay accountable for the outcome.

02
Operational

Re-engineering the work around AI.

This is process engineering. We find the processes worth improving with AI, map the solutions, and design new, more efficient workflows built around AI components, agents, and automated workflows, with people in the loop where it counts.

Finding processes fit for AI

A deep map of the organization to locate bottlenecks, repetitive tasks and failure points that smart automation can dramatically improve.

New AI-integrated workflows

Process re-engineering: embedding AI as an integral part of the daily routine to accelerate performance and free people from low-value "black-box" work.

Operational KPIs & measurement

Define, build and embed precise KPIs: hours saved, shorter response times (SLA), better output quality, and positive ROI. A new measurement map that proves the value AI generates.

Enterprise AI tooling

Sourcing, fitting and rolling out enterprise-grade AI tools that match the business need and are safe for organizational use.

03
Technical

The architecture, the models, the token economy.

The technical side of embedding AI: which model fits which task, the right combination of technologies, and how LLM/ML systems, automation and agents plug into the core systems of the organization.

AI solution architectures

Scalable, secure-by-design architecture, matched precisely to the organization's needs and expected workloads.

AI inside core systems

Seamless integration of AI into legacy and enterprise software (CRM, ERP and operational systems), plus new, modern interfaces.

Build, train & maintain models

Guidance on automation and AI agents, ML training for prediction and anomaly detection, LLM tuning with fine-tuning / LoRA, RAG systems, and LLMOps / MLOps services.

Token economy

Optimize the cost of using AI models with OpEx control and smart token management: maximum output at minimum cost, with dynamic, continuously updated model selection.

How an engagement runs

From a question to a measured result.

01 / Map

Discover & map

We map goals, processes and systems to find where AI moves the result, and where it doesn't.

02 / Prioritize

Size & prioritize

We size each opportunity by value and feasibility, then sequence a roadmap you can act on.

03 / Pilot

Pilot & prove

We run a focused pilot with KPIs attached, so value is proven before it scales.

04 / Scale

Scale & govern

We scale what works into the core systems, under governance that keeps it safe and compliant.

The Kuzmanko stand at an industry event — AI implementation driven by results Operator-led
The team behind it

Business leaders, researchers and first-rate AI engineers, in one team.

Our advice carries weight because of a mix that rarely sits in one room: people who have run real businesses and P&Ls, researchers working at the front edge of AI, and engineers who build and ship it every day. Our founder, Jonathan Kuzmanko, led business development at one of Israel's largest insurers before moving to AI full-time, and now researches AI in managerial decision-making in Prague.

  • Senior operators, applied researchers and AI engineers, working side by side.
  • Applied research in partnership with leading universities.
  • 100+ projects shipped, with tens of millions in savings and efficiency.
Read the full story
Questions, answered

AI consulting, in plain terms.

What are the three levels of AI consulting?
Strategic (connecting business goals to AI capability, AI-driven operating models, governance and regulation), operational (re-engineering workflows around AI and agents, human-in-the-loop design, operational KPIs), and technical (solution architecture, model build and training, MLOps/LLMOps, and token-economy optimization). You can engage at one level or connect all three.
What does it mean to become an AI-driven organization?
It means AI is an integral part of strategy and operations rather than a bolt-on tool. We help organizations embed AI where it genuinely creates competitive advantage and efficiency — and deliberately avoid it where it does not.
Does Kuzmanko help with AI governance and the EU AI Act?
Yes. We create and embed AI policy, set up control mechanisms, map legal, ethical and operational exposure, and prepare you for emerging regulation such as the EU AI Act — while preventing sensitive-data leakage and reputational harm.
What is token economy optimization?
It is OpEx-level optimization of AI usage costs: choosing the right model for each task, controlling and dynamically managing token consumption, and continuously updating to the optimal model — maximum throughput at minimum cost.
Do you only advise, or also lead the transformation?
Both. We can advise at any single level, or lead full, end-to-end AI transformation programs across strategy, operations and technology — and prove what the work was worth in the numbers. See also our AI development and AI training services.
Keep exploring

Explore our other services.

02

AI Development

AI systemsAgentsML & MLOps

We build the systems and agents the strategy calls for: agentic platforms, custom AI/ML, and the infrastructure to run them at enterprise scale.
03

AI Training

SkillsAgentsAdoption

We turn teams into AI power users — Claude, Copilot, Gemini, ChatGPT at enterprise grade, plus building Skills, agents, MCP and automations.

Tell us where AI should earn its place.

Book a 30-minute briefing with an engagement lead. We'll review your priorities, propose a discovery scope, and tell you honestly whether we're the right partner.

Schedule a briefing Email the team