AI for Decision Makers
Cut through the noise. Make AI decisions with clarity and confidence.
Output: An AI position you can defend in the boardroom.
View detailsServices
Three packages for the AI jumpstart.
Three fixed packages for product teams getting serious with AI. Clear scope, clear outcome – from operators, not consultants.
Agentic Bootcamp for Product Teams
Master AI agents across the full product lifecycle.
Output: A team that builds and runs agents on its own.
View detailsAI Leverage Map: Product Lifecycle Analysis
Find where AI multiplies your output – and where it's a waste of money.
Output: A leverage map with AI investments you can justify.
View detailsEngagements
Beyond the packages.
Two engagements, tailored to your situation: AI-Native Culture and Tech Assessment.
We guide development teams from assessment through strategy to daily AI practice. The frame is the cycle Discover, Define, Build, Operate – the same one Teklens works along.
- How can our developers use AI to ship measurably faster?
- Which AI tools and workflows fit our development culture?
- How do we make AI-first a natural reflex, not just another initiative?
- How do we integrate AI into existing BizDevOps workflows?
- How do we reengineer the value chain from product management to operations?
- What foundation do we build to use AI without compromising company secrets and privacy?
- AI Maturity Assessment: baseline your current AI adoption
- AI Strategy & Roadmap: your tailored implementation path
- Tool Stack: select the right AI tools – from coding assistants to MCPs, workflow automation and a privacy-aware foundation
- Hands-on implementation: coaching on real projects
- Process Reengineering: redesign to AI-first workflows
- Knowledge Transfer: enable teams to evolve independently
- Around 26% more tasks completed with AI support (Cui et al. 2024), around 56% faster on well-scoped tasks (Peng et al. 2023)
- Innovation becomes the default: teams use AI proactively
- Competitive advantage through an AI-native culture
- Honest caveat: without a clean setup, delivery stability drops (DORA 2024), and experienced open-source developers were 19% slower with AI tools (METR 2025)
- True understanding drives AI adoption everywhere
A technical assessment of architecture, codebase, team and product – with clear findings for investment decisions and strategic development. Pre-invest for due diligence, post-invest for the growth strategy, pre-exit for value optimisation. The analysis follows the same logic as Teklens: findings grounded in the real code, along Discover, Define, Build and Operate.
- Is the technology truly scalable – and can the team deliver?
- What hidden technical debt or architectural risks exist?
- How do you compare to the competition?
- Which red flags could impact valuation or integration?
- What's the AI readiness – and the untapped potential?
- Are there legal issues – patents, licensing, dependencies?
- Pre-Invest Due Diligence: architecture, code quality, team, product-market fit, IP assessment
- Post-Invest Optimisation: product maturity, gap analysis, growth roadmap, team development
- Pre-Exit Value Enhancement: red-flag remediation, IP evaluation, valuation drivers
- Tech Deep Dive: scalability, security, tech debt, architecture
- Team: skills, culture, workflows, growth potential
- AI Readiness Check: AI usage and untapped potential
- Board & Advisory: ongoing oversight for portfolio companies
- Lower investment risk – with deep technical insights
- A clear roadmap for value creation and capability building
- Mitigate risks before they impact valuation
- Assess substitution risks and competitive positioning
- Increase exit valuation through targeted improvements
- A bridge between technical reality and business strategy
Not sure which package fits?
30 minutes with the founder team. We'll tell you if none of them fits, too. No sales.