Services

For whom: CTO, VP Engineering, CEO of a software-heavy company

Outcome: Measurably faster development cycles at equal or better quality; playbook and trained team

For whom: CTO, VP Engineering, Head of Product

Outcome: Target model for roles, processes, and governance of an agentic engineering organization

For whom: COO, Head of Customer Service, Head of Operations, CEO

Outcome: AI agents and workflows in production, with access to real systems and data

For whom: CEO/COO, compliance leads, advisory board of mid-sized companies

Outcome: Governance framework: risk classification, processes, responsibilities for AI systems

For whom: CEO/COO of mid-sized companies, operating partner ahead of an AI transformation

Outcome: Structured report: data situation, systems, organization, prioritized AI levers

For whom: CEO, leadership, COO, PE operating partner

Outcome: AI roadmap with business cases; agents and workflows in production

For whom: Leadership teams and business units of mid-sized companies

Outcome: Hands-on workshops with concrete use cases from your own company

For whom: CEO/owner of a mid-sized company, PE fund for a portfolio company

Outcome: Technical leadership on demand: architecture decisions, team building, vendor decisions

For whom: COO, business-unit leadership, CTO of mid-sized companies

Outcome: Production workflows in n8n, including LLM steps and monitoring

For whom: CEO/COO, CTO of mid-sized companies with high SaaS costs

Outcome: A custom AI-powered solution replacing one or more SaaS subscriptions

For whom: CEO, CTO, board, PE operating partner after signing

Outcome: 100-day plan, modernized architecture, or integrated systems after a transaction

For whom: PE deal team, operating partner, board

Outcome: DD report with risk and value-creation potential, understandable for the investment committee