AI Product Strategy Briefing

Thomson Reuters research found that organisations with defined AI strategies are 2x more likely to grow revenue and 3.5x more likely to realise critical AI benefits. Only 22 percent of organisations have achieved this clarity. The product leader is in an awkward position: their PMs are already using AI, the question is whether the organisation captures the leverage or absorbs the inconsistency. Without a written strategy at the product-leadership level, individual PMs experiment, individual teams optimise locally, and the organisation never captures the compounding gains.

Course objectives

A measurement model for AI's impact on the product team's output (cycle time, validation speed, prototype throughput, decision quality).
A funding decision: which AI tools the team adopts at organisation level vs which stay individual.
A governance baseline: mandatory, recommended, restricted (around customer data, roadmap exposure, vendor selection).
A 90-day rollout plan with named owners and a kill switch.
A one-page brief ready for the executive team.

Target audience

CPOs, VPs of Product, Heads of Product, Directors of Product.

Prerequisites

No prior knowledge is required to attend this course.

About the instructors: Rogier Muller & Vasilis Tsolis

Rogier Muller is CTO of BlueMonks Group, an Amsterdam-based fintech compliance company, and co-founder of several companies. He`s a lifelong coder who moved early into AI-assisted software development. Today, he is the only person in the world to combine official ambassador roles across the three leading agentic engineering platforms: Cursor, Claude Code, and Codex. Rogier has hosted numerous events worldwide and works closely with engineering teams, founders, and AI tooling companies on the practical adoption of agentic software development. His specific expertise is using agentic engineering in highly regulated environments, including but not limited to fintech, financial services, KYC/CDD, AML, GDPR, AFM-supervised contexts, auditability, data isolation, and compliance-heavy software delivery.

Vasilis Tsolis is a pioneer in document intelligence and agentic coding helping teams to change how they work across industries. He is an official Ambassador for Cursor, OpenAI Codex and n8n. He is the partner of Cognitiv+, an AI consultancy and software factory that helps organisations practically implement and adopt AI with enterprise confidence. He has co-founded several companies and trains development teams across the US and EU on AI-assisted coding, with a consistent focus on integrating it into real workflows without losing control of the codebase. Background: engineering and law, twenty years across AI, construction, energy, and tech. Vasilis has worked with JPMorgan, Intel, PwC, and others along the way.

Session 1.

What the data says. The agentic AI market trajectory ($7-8B in 2025 to $139-199B by 2034 at 40-50% CAGR). Gartner's prediction that 33% of enterprise software will include agentic AI by 2028, up from less than 1% in 2024. Also Gartner's warning that over 40% of agentic AI projects will be cancelled by end of 2027 due to unclear ROI. The strategic-clarity gap: only 22 percent of organisations have a defined AI strategy. Round-table: where does the leader's product organisation sit on these axes.

Session 2.

Measurement. The PM-specific metrics that matter post-AI. Cycle time from idea to validated decision. Number of agentic workflows running in production. Tasks automated per quarter. PRD turnaround. Customer interviews per quarter. Workflow reliability (success rate, false-positive rate, escalation rate). The trap: vanity metrics (number of AI prompts run, lines of AI-generated content) that prove nothing about decision quality or operational impact. Exercise: leader defines their own three numbers.

Session 3.

Funding and governance. Tool selection at organisation level (ChatGPT Business or Enterprise vs Claude Pro or Team or Enterprise vs both, plus n8n Cloud or self-hosted for agentic workflows, plus specialised tools like ChatPRD, NotebookLM, Granola). Three-column governance sheet: mandatory (written verification protocol on customer-facing claims, customer data handling rules, roadmap-exposure rules, evaluation plan and rollback procedure for any production agent), recommended (persistent context workspaces, shared prompt libraries, shared n8n workflow library, weekly demo days), restricted (customer PII in free-tier tools, production agents without human-in-the-loop on high-risk actions, AI-generated competitive intelligence treated as confirmed without verification). Exercise: leader drafts their own sheet.

Session 4.

The 90-day plan. Three phases: pilot (one team for three weeks), expansion (three teams for five weeks), standard practice (org-wide for the remainder). Named owners. Success criteria per phase. A kill switch in writing. Plan reviewed by the room.

Practical information

Duration: 1 day
Price: 10 900 NOK
Language: English
Format: Classroom, virtual classroom, or in-company

FAQ

Hva er AI Product Strategy Briefing?
AI Product Strategy Briefing er et strategisk kurs som gir ledere og produktansvarlige innsikt i hvordan kunstig intelligens påvirker produktstrategi, innovasjon og forretningsutvikling.

Hvem passer kurset for?
Kurset passer for produktledere, ledere, beslutningstakere, strategiske roller og andre som jobber med produktutvikling eller digital transformasjon.

Trenger jeg teknisk bakgrunn for å delta?
Nei, kurset er laget for strategiske og forretningsnære roller og krever ingen teknisk erfaring.

Hva lærer jeg som er nyttig i praksis?
Du lærer hvordan AI kan brukes som en del av produktstrategi, hvordan organisasjoner kan identifisere AI-muligheter, prioritere initiativer og skape forretningsverdi gjennom ansvarlig og strategisk AI-adopsjon. AI-strategi handler i stor grad om å knytte AI-initiativer til konkrete forretningsmål og konkurransefortrinn.

Er kurset strategisk eller praktisk rettet?
Kurset er primært strategisk og fokuserer på beslutninger, prioriteringer, governance og hvordan AI påvirker produktutvikling og organisasjon. Det inkluderer også praktiske eksempler og scenarioer fra moderne produktmiljøer. Generativ AI får stadig større betydning innen produktdesign og produktutvikling.

Kursavgift:	10,900 NOK
Kurset inkluderer:	Course documentation, exercises, lunch and refreshments for in class events only
Timer	09:00 - 16:00
Varighet:	1 dager
Språk	English