Advisory

Senior judgment, from strategy to production.

Four areas of work. Each begins with a business situation and ends with a concrete deliverable. All of them are done by the same person you speak to in the first conversation.

Technology strategy & fractional CTO

Architecture decisions, roadmap, vendor selection and technical oversight, with an agreed scope and clear responsibility.

The situation: You face decisions that will shape the company for years: build or buy, which platform, which team, in what order. You need someone who has carried that responsibility and can explain the trade-offs in business terms.
The work: Architecture and build-buy-integrate decisions
Technology roadmap and investment priorities
Vendor and platform evaluation
Fractional or interim CTO on an agreed scope
Structuring or restructuring product and engineering teams
You receive: Decision memo
Target architecture
Prioritised roadmap
Leadership cadence

Architecture, security & technical assessment

An independent review of a platform, its infrastructure, its technical debt and its risks, for owners, boards, investors and acquirers.

The situation: You own, fund or are about to buy a software platform and need to know what is really there: how it is built, where it is fragile, what it will cost to fix and what can wait.
The work: Architecture and code-base review
Infrastructure, access and security posture review
Technical debt, delivery risk and key-person dependencies
Technical due diligence for investors and acquirers
IT governance and operational-resilience readiness
You receive: Risk assessment
Prioritised remediation plan
Cost and effort drivers
Executive summary

AI adoption & operational automation

AI and automation in real processes, where the economics and the reliability support it, with permissions, evaluation and human review designed in.

The situation: You see where AI could remove manual work, but a demo is not a process. Someone has to decide which workflows are worth it, what data the system may touch, how its output is checked and what it costs to run.
The work: Identifying workflows where automation pays for itself
Agentic AI in production: integration, permissions, evaluation
AI-assisted software delivery for engineering teams
Connecting the systems you already have
Operating-cost and accountability model
You receive: Opportunity map with economics
Working pilot in a real process
Controls and review design
Run-cost model

Selected product engineering

The applications, portals, integrations and internal systems that implement an agreed strategy, from architecture to deployment and handover.

The situation: The decision is made and it has to become a working system. You want the person who designed it to be responsible for building it, with documentation and a clean handover at the end.
The work: Web platforms, client portals and internal tools
Integrations: payments, identity, e-signature, invoicing
Architecture, implementation, deployment
Documentation and handover to your team
You receive: Working system in production
Acceptance criteria met
Documentation
Handover or ongoing operation

Engagement model

Start small. Commit when it is clear.

The first fit conversation is free and separate from the diagnostic. Engagements are selective and substantial; prices depend on scope and are agreed before work starts.

01
Diagnostic
A paid, bounded review of your situation: the systems, the processes, the risks and the opportunities. You get a prioritised action plan with scope, trade-offs and cost drivers. It is useful on its own, whoever implements it.
02
Defined implementation
A clearly scoped project with agreed outcomes, acceptance criteria, documentation and ownership. No open-ended retainers disguised as projects.
03
Ongoing advisory & operation
Where it makes sense: a scoped advisory relationship, fractional CTO role, maintenance or infrastructure operation.

In selected long-term engagements, part of the fee can be structured as equity. When the company grows, so does our stake. That is the point.

Where the experience is deepest

Regulated, document-heavy, capital-intensive.

Commercial real estate

Investor onboarding, deal workflows, contracts, reporting and the operational systems around an asset. Learned as an operator at SyndiFi.

Fintech & regulated businesses

KYC/KYB, payments, electronic signatures, audit trails and the discipline of building under a regulator's eye.

Founders building a platform

The first architecture, the first hires, the first production incident. Decisions that are cheap now and expensive later.

Established companies modernising

Replacing spreadsheets and email with connected systems, without stopping the business to do it.

Contact

Tell me what you are deciding.

A first conversation is about fit: your situation, what a good outcome looks like, and whether I am the right person to help.

Discuss your challenge marius.grigoras@mgstaking.com