I design reliable AI, data and automation systems.
I help companies turn complex operational processes, fragmented data and AI ideas into systems that are reliable, secure and usable in production.
My work sits between architecture and implementation: data-intensive platforms, enterprise integrations, workflow automation and practical AI.
I use AI where it creates measurable value while keeping critical business logic deterministic, testable and auditable.
Helsinki, Finland
How I help
I work with companies that have complex data, operational workflows or AI initiatives where reliability matters as much as speed.
Architecture & system review
For systems that have become difficult to change, expensive to maintain or dependent on manual work. I review the architecture, data flows, integrations and operational bottlenecks, then define what should be fixed first.
- Architecture and service boundaries
- Data flows and data model
- Integrations
- Operational bottlenecks
Data & reconciliation discovery
For teams that compare records across billing, finance, ERP or operational systems and spend too much time investigating mismatches manually. I map the sources, matching rules and exception workflow, then design a reliable solution.
- Source and process map
- Matching and reconciliation rules
- Exception workflow
Practical AI assessment
For companies considering AI but unsure where it will create measurable value. I identify realistic use cases, assess data readiness and define where deterministic software should end and AI-assisted workflows should begin.
- Realistic use cases
- Data readiness
- Deterministic vs AI-assisted boundaries
- Security and operational risk
- Build versus buy
Systems I've designed, built or improved
Four systems that show the range: platform architecture, data-intensive SaaS, operational automation and legacy modernization. Client and tenant data is redacted where confidentiality applies.
Secure multi-tenant data & AI platform
Problem: data arriving from multiple external systems had to be processed reliably and auditably across isolated client environments.
Designed: target architecture, data model, ingestion workflows, tenant isolation, AI integration boundaries and deployment structure — with hands-on contribution where required.
Outcome: deterministic services keep trusted business logic; AI-assisted components stay isolated and are used only for controlled interpretation and investigation support over authorized data.
SaaS billing, pricing & data workflows
Problem: a SQL-centric billing platform served hundreds of client organizations, each with its own pricing and integration rules.
Built: stored procedures, billing and pricing logic and data workflows for client-specific requirements; SQL-based solutions for complex billing and integration scenarios; AI-assisted workflows over structured enterprise data.
Outcome: production data issues investigated and resolved, with improvements to query performance and maintainability.
Reporting, reconciliation & workflow automation
Problem: enterprise clients ran reporting and cross-system checks by hand, over data that never quite lined up.
Designed: data-flow redesign, reconciliation and exception handling, and reporting automation — across seven years of independent consulting engagements.
Outcome: the unglamorous plumbing that quietly gives a finance team its Friday afternoons back.
ERP migration & operational modernization
Problem: a factory's core operations ran on SAP that no longer fit the business; earlier, a telecom design institute tracked contracts and project stages without a system at all.
Delivered: SAP-to-local-ERP migration with data migration, process remapping and a cutover planned around not stopping the production line; before that, ERP with accounting integration built from scratch.
Outcome: proof of depth — migrations and integrations where downtime was not an option.
What I'm building
This is not only a consulting site. I build and test tooling for AI-assisted development, agent systems and automation.
Production-readiness for AI-built apps
Tooling that checks what AI-generated applications usually miss: boundaries, error paths, data handling and deployability.
Orchestration, verification, secure tool use
Experiments in how multiple agents are coordinated, how their output is verified, and how tool access stays scoped and auditable.
Research & workflow automation
Systems that automate research, document work and repetitive operational workflows without hiding the reasoning trail.
Practical tools & checklists
Open notes, checklists and small open-source experiments that come out of client and lab work.
Notes on platforms, data, and practical AI
Longer-form thinking on architecture decisions — the parts that are hard to fit into a call.
“We told the AI not to do that in the system prompt.”
Prompts are not permissions. Two recent incidents show why agent boundaries belong in a policy layer the model cannot rewrite.
Read →Every model call in this pipeline goes through one function.
One wrapper around LiteLLM, no provider SDKs, no structured output and no tool calls — and what actually turned out to be the safety net.
Read →You will never “keep up with technology” again.
Full coverage stopped being a realistic goal. What the job runs on now is a framework solid enough to classify anything new, fast.
Read →Architecture and hands-on engineering, in one person
I have spent more than 25 years building software and data systems across enterprise, operational and product environments.
My background spans software engineering, solution architecture, enterprise integrations, data-intensive systems and technical consulting.
Today my focus is the intersection of reliable software architecture and practical AI: systems where AI can help without turning critical business processes into a black box.
Full professional background → View CV
Have a data, architecture, automation or AI problem?
If you're trying to modernize an existing system, automate a difficult operational workflow, or determine where AI actually belongs in your architecture, tell me what you're working with.
Helsinki · working internationally. References available on request.
Recruiter or hiring manager? View my CV →