Diagnostic
2–3 weeks, focused on IT separation or integration (including pre-deal IT due diligence) or on platform and cloud costs: report, risks and roadmap.
From PLN 500 net
Technology partner
From carve-out to your own platform.
Technology partner for companies in transition – carve-outs, mergers and acquisitions, custom AI-native systems, AI agents and fractional CTO leadership. Senior experience, modern tooling, no oversized teams.
Why Northolt
A small unit. An outsized result.
In 1940, No. 303 Polish Squadron flew from RAF Northolt – a small unit that achieved more than far larger ones.
That is how I work: senior experience, modern tooling and AI agents instead of large teams and long timelines.
- I lead IT separation projects and build transaction systems – from plan to production.
- As co-founder and CEO of a SaaS company, I co-built its platform with the team – cloud infrastructure, data and backend.
- I built an AI agent system that researches and qualifies leads for B2B sales.
- I have secured the container platform of a large digital-services system.
I look at technology the way a board does – budget, people, risk, results – and I can still go down to the code. For larger projects I work with a network of trusted specialists.
What I value
Ownership
Responsibility for the outcome, not just the hours.
Pace
Weekly progress you can see and use.
Clarity
Plain language for the board, solid engineering underneath.
Independence
I build so you can run it without me.
Services
Four disciplines, one partner.
I step in where technology decides whether a transition succeeds – from the plan to a working system.
- I
Carve-outs, mergers & acquisitions – IT separation and integration
Separating a company from its group or bringing companies together after an acquisition: IT due diligence before the deal, plan and Day-1 readiness, transitional service agreements (TSA), Microsoft 365 / Entra tenants, identities and access, cloud, data and applications – and an IT team that fits the new structure.
- II
AI-native custom systems & data platforms
Systems you can’t buy off the shelf – transaction platforms, data warehouses and pipelines, customer data exports, reporting, risk and back-office automation. Built iteratively by a small AI-assisted team, with progress you see every week.
- III
Fractional CTO & AI agents
Part-time technology leadership from a fellow business owner who runs a SaaS company. Strategy and roadmap, budget, hiring, vendors, IT governance and security, and the technical side of grant applications and investor talks. Plus AI agents in your processes: lead research and qualification for B2B sales with CRM updates, content and back office – always with a human in the loop and in line with GDPR and electronic-communications law.
- IV
Platform, data & security foundations
Cloud, Kubernetes, infrastructure as code, GitOps and CI/CD, autoscaling and monitoring from day one, cost-aware architecture and DevSecOps – a solid base for fast, safe delivery and a cloud bill under control.
Approach
Four stages. No surprises.
- 01
Diagnose
Interviews, systems and cost review, risks and quick wins.
- 02
Design
Architecture, plan, budget and milestones.
- 03
Build
Short iterations, visible progress every week.
- 04
Hand over
Documentation, team training, post-launch support.
Work
Selected work
- I
Company IT separation – from plan to independence
Separation plan and Day-1 readiness, new environments, identities, cloud and repositories, and building an in-house IT team.
- II
Own SaaS product – from zero to production
As co-founder and CEO, I co-built the cloud, data and backend platform with the team: Kubernetes in the public cloud managed through GitOps, monitoring and alerting from day one, and a data warehouse with customer data exports.
Result A production platform designed for cost from day one, run by a small team.
- III
AI agent system powering B2B sales
A team of AI agents with distinct roles – coordination, research, CRM integration and instruction tuning – works in recurring rounds: it finds companies in publicly available sources, qualifies them against the ideal customer profile and writes them to the CRM. A human handles all contact with prospects.
Result Research and qualification run with no human involved, within a fixed model budget. Sales gets an annotated list in the CRM.
- IV
Large digital-services platform – container security
Automated vulnerability scanning and security baselines for a microservice architecture.
Result Systemic risks identified and a prioritised remediation plan for business and IT.
- V
Ad-tech infrastructure for e-commerce
On-prem Kubernetes with monitoring and CI/CD, plus omnichannel audience sync for major e-commerce platforms.
Result New campaign options for clients.
Why me
Builder and business owner in one.
- Owner and engineer
- As co-founder and CEO I run a SaaS company and co-built its platform – infrastructure, data and backend.
- AI-native in practice
- AI agents in daily engineering and in lead research and qualification – always with a human in the loop.
- Demanding domains
- Transaction and reporting systems, security of large digital platforms, and privacy-sensitive ad-tech (GDPR, ATT).
- Certified
- AWS Solutions Architect, CKA, CKAD, Google Cloud ACE.
Engagement
Engagement models
Project
Fixed scope and milestones, e.g. a carve-out, a post-acquisition IT integration, a system MVP, a production platform from scratch or an AI agent system for sales.
Quoted individually
Fractional CTO
Ongoing presence – 2 days a month.
Monthly retainer
For businesses only. Prices are net of VAT. Information on this site is not a binding offer – scope and price are confirmed in a contract.
Contact
Let’s talk
Tell me where you are and where you need to be. I reply within two business days.
kacper@northoltpartners.com +48 790 889 097
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