Yury Chernik

Services

Five ways I can help.

Most engagements start small and grow only if the first piece pays for itself. You are not required to buy the whole ladder.

Discovery & Roadmap

2–4 weeks

Find out where AI actually pays off in your organisation before committing budget to it.

  • AI readiness assessment across five parameters
  • Opportunity mapping: 5–7 concrete use cases
  • Strategic roadmap for the next six months
  • Pilot plan with ROI calculations

Right for: Anyone who has been asked to “do something with AI” and wants to know what is actually worth doing before spending on it.

You get: A costed six-month roadmap with the use cases ranked by return.

From $10,000

Pilot & Rollout

2–6 months

Turn one or two of those use cases into working software your team can operate.

  • Pilot implementation of 1–2 use cases
  • Custom AI tooling built around your process
  • Enablement programme for up to 20 people
  • Change management and performance monitoring

Right for: Teams that already know which use case they want and need it built and adopted, not prototyped again.

You get: A pilot running in production and a team trained to keep it there.

From $35,000

Enterprise AI Programme

6–12 months

A multi-year programme when AI has to work across departments, not in one corner.

  • Enterprise AI strategy on a three-year horizon
  • Implementation of 3–10 use cases
  • Custom LLM development where it is justified
  • Dedicated team and C-level advisory

Right for: Organisations running AI in more than one department, where the problem is now governance and consistency rather than a first win.

You get: A governed AI capability with several use cases live and owned internally.

From $200,000

ISO 9001 from zero

12–16 weeks

A quality management system that passes audit without turning the company into a paperwork factory.

  • Scope, process owners and document register
  • Governance core: policy, objectives, risk register, process map
  • The procedures the standard requires, written around your delivery
  • First internal audit run, findings closed, certification pack assembled

Right for: Outsourcing and product companies losing shortlist places for want of a certificate, with no appetite for a year-long programme or a full-time quality hire.

You get: A certifiable QMS built around how you already work, and a team that can run the audit cycle themselves.

From $25,000

Delivery & PMO

Project-based

The programme management underneath all of the above — available on its own.

  • End-to-end management of complex programmes
  • PMO set-up and optimisation
  • Scaled frameworks: SAFe, LeSS, Nexus
  • Independent audits of projects in trouble

Right for: Programmes in trouble, or teams that need delivery structure without an AI component at all.

You get: Predictable delivery, with a PMO that runs without me.

Custom

How it runs

The same four steps regardless of engagement size. The difference is how long each one takes.

  1. 01

    Call

    Thirty minutes to understand what you are trying to do and whether I am the right person for it. No deck.

  2. 02

    Assessment

    I look at your processes, data and team, and come back with the use cases that are worth the money.

  3. 03

    Build

    We implement in short cycles against agreed metrics, so progress is visible rather than reported.

  4. 04

    Handover

    Your team takes ownership. The engagement ends when they no longer need me, which is the point.

Questions I get asked first.

What does an AI delivery consultant actually do?
The work is getting an AI initiative from a working demo into daily operations, which is mostly a delivery problem rather than a modelling one. In practice that means choosing which use cases are worth the money, setting the scope and the metrics they are judged against, putting governance and reporting around the build, and training the team that will own the system afterwards. The model is rarely the hard part; deciding what to build, proving it pays, and making it survive handover is.
Where do most engagements start?
Most start with a Discovery & Roadmap engagement: two to four weeks, from $10,000, ending in a costed six-month roadmap with the use cases ranked by return. It exists so that nobody commits a large budget to an AI programme before knowing which parts of it pay for themselves. It is deliberately small enough to be worth buying on its own, and it does not oblige you to buy anything after it.
What does an engagement cost?
Engagements run from $10,000 for a two-to-four-week discovery, $25,000 for an ISO 9001 quality system, $35,000 for a pilot taken into production, and from $200,000 for a multi-year enterprise programme. Pricing is per project rather than a monthly subscription or a seat licence. Four things move the number: how many use cases are in scope, the state of your data, how much of the build your own team carries, and whether the work has to satisfy an auditor.
Why do so many AI pilots never reach production?
The widely quoted failure rates — from 40% to 95% depending on the source — measure four different things, so the honest answer is that nobody knows the true number. What the numbers do agree on is where projects stall: a pilot is built to impress rather than to be operated, no one owns it after the demo, success was never defined as a number the business already tracks, and the data it depends on turns out to be less usable than assumed. Those are all delivery and governance failures, which is why they are fixable without changing the model.
Can you work with an in-house team, or do you bring your own?
Both, and the difference shows up in the price. If you have engineers who can build, the work is design, sequencing and steering, and it costs less. If the build has to be delivered as well as designed, that is a larger engagement. Either way the aim is the same: the team that will operate the system is involved while it is being built, not handed it at the end.
How long does ISO 9001 certification take from nothing?
Twelve to sixteen weeks is a realistic window for a company starting with no quality management system, and the engagement starts at $25,000. That is not a theoretical estimate: one remote-first software outsourcing company went from a blank page to a passed certification audit in twelve weeks, with 37 quality artefacts written and approved by six people at a peak load of 0.3 FTE each — no dedicated quality hire. The long version of that project is on this site as a case study.
Which industries have you worked in?
Healthcare and medical software, financial services, manufacturing, consumer IoT, retail, education and software outsourcing, across more than fifteen industries in total and over 100 delivered projects. The medical and near-medical work is the deepest: multi-tenant clinical applications, offline-first field tools for hospital staff, and the documentation and audit load that regulated delivery carries.
Why are client names not published on this site?
Most of the work is covered by non-disclosure agreements, so case studies describe the company by type, size and sector — “a remote-first software outsourcing company”, “a hospital network” — rather than by name. The numbers in them are real; the identities are withheld. Specifics can be discussed on a call within whatever the relevant agreement allows.
What happens at the end of an engagement?
Your team takes ownership, which is the intended ending rather than a wind-down. Handover is part of the work from the start: the people who will run the system take part in building it, the decisions behind it are written down, and the engagement finishes when the team no longer needs the consultant. An engagement that leaves an organisation dependent on an outside expert has failed at the thing it was bought for.
What are your credentials?
PMP from the Project Management Institute (2025), SAFe 6.0 from Scaled Agile (2024), PSM from Scrum.org (2022), AI Solution Product Management from the AI Product Institute (2022), and Google Project Management (2021). Behind them: over ten years running delivery, more than 100 projects, and upwards of $50M in managed budget.

Not sure which one fits?

That is what the first call is for. Bring the problem, not a brief — I will tell you if it is worth doing at all.

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