pleaple. / Peter Matysiak
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Focus

What I actually bring.

Five domains of practice — some decade-proven, some being built this year. All active.

01

Operations & Transformation.

Enterprise-scale operations leadership, interim or as a scoped consulting mandate. From hypergrowth to profitability, through a merger, or into a new operating model.

Target operating model design. Cost and OPEX discipline in hypergrowth-to-profit transitions. Team and organisation restructuring with successor development. Post-merger process harmonisation at scale. Nearshoring and shared-service setup. Delivered from the director- or head-of seat, or as a consulting programme run with the team that will inherit it.

02

Quality & Governance.

Aerospace-grade quality discipline, applied across industries — and increasingly to AI output governance.

Integrated management systems across ISO 9001, EN 9100, ISO 14001, ISO 45001. Audit methodology under ISO/EN 19011, internal and external. QMS design, revision, and certification readiness. Documentation simplification. The same discipline — objective evidence, sampling, conformity-versus-effectiveness, findings classification — now extending into AI output auditing.

Currently into. Translating ISO 19011 audit methodology into AI output auditing — objective evidence, sampling, conformity vs. effectiveness, findings classification. Perspectives article in the queue.

03

Supply Chain & Sourcing.

Competitive sourcing, vendor management, and supply-chain design in regulated environments — end-to-end, from RFP to steady-state operations.

RFP design and execution. SLA and KPI negotiation. Security concepts and regulatory compliance (SiLKe and equivalents). Logistics migration under timing pressure. Partner onboarding and handover into sustained operations. Reporting and steering structures built for the owners after the consultant leaves.

04

AI, Automation & Agent Systems.

Not building AI as an engineer — directing it as an operator. Workforce management, audit thinking, and process design applied to systems that act on your behalf.

Agent management — workforce principles applied to AI. AI-native software development, with AI as the engineering resource. Context engineering and knowledge architecture. Automation builds. Data foundations — clean-up, pipelines, knowledge graphs. AI output governance. Prompt architecture and session onboarding as repeatable practice. Ongoing field research on agent failure modes, cost economics, and process patterns.

Currently into. Knowledge graphs as agent memory. Orchestration patterns across agentic systems. Context engineering as a competitive moat. Agent onboarding as the one management practice that actually matters.

Read the underlying perspective on AI Operations

05

Ventures & Early-Stage Operations.

Not a pure enterprise consultant. The founder seat, the pre-seed scramble, the first customer — lived, not read about.

Co-founding and first-team build-out. Grant and equity fundraising in the early phase. Business model design for marketplace and emerging-tech ventures. Go-to-market execution for AI/LLM products. Operational maturation for young organisations. OKR and governance frameworks in a start-up context. Advisory at the founder-to-board level.