What Is Paperclip? The Control Plane for AI Agents in Business
Paperclip orchestrates AI agents as structured teams with org charts, budgets, and governance. Learn when and why your business needs it.
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Guides, checklists, and practical knowledge for AI implementation in your business.
Practical knowledge from our project work: checklists we use ourselves, guides for common decisions, and honest assessments of tools and methods. No thought-leadership filler, only things that work in practice.
What’s here
Checklists: Structured decision aids for AI projects: Is this process a good fit for AI? What data do I need? How do I define success?
Guides: Step-by-step walkthroughs for common challenges: launching an AI pilot, preparing your team, calculating costs and ROI.
Practical insights: Lessons from real projects: what works, what doesn’t, and why some technology choices matter more than others.
Who this is for
Business leaders and IT decision-makers in mid-market companies who are evaluating or starting AI projects, practical, jargon-free, with concrete recommendations.
What Is a Forward Deployed Engineer? And Why Your Business Needs One
A Forward Deployed Engineer isn't a consultant who writes reports. They build production AI systems directly inside your business. Learn what an FDE does and when it's the right choice.
Learn moreAI Acceleration Sprint: From Idea to Working Prototype in 2 Days
The AI Acceleration Sprint is a structured, time-boxed format that takes any team from raw idea to working AI prototype in 2–5 days. Learn what it delivers, how it works, and who it's for.
Learn moreAI Solution Architecture: The Complete Guide for Enterprise AI Projects
How to design, document, and deliver AI systems that scale, using arc42, multi-agent patterns, and battle-tested deployment blueprints.
Learn moreHow to Build an AI ROI Business Case: A Framework for Enterprise Decision-Makers
A practical guide to justifying AI investment, measuring returns, and building a business case that gets executive buy-in. Frameworks, examples, and decision tools.
Learn moreThe AI Implementation Process: A Step-by-Step Guide for Companies
A practitioner's guide to implementing AI in your company, from solution architecture to production rollout, without the common failure points.
Learn moreWhy AI Projects Fail: 8 Patterns Every Enterprise Should Know
The definitive guide to AI implementation failure patterns: from user research gaps to chasm dynamics. Based on real consulting engagements across industries.
Learn moreAI Consulting Models: Body Leasing, Outcome-Based, and Hybrid Delivery for AI Projects
Compare AI consulting delivery models, body leasing, outcome-based, hybrid, and solo AI-augmented consulting. Learn which model fits your project.
Learn moreAI Use Case Discovery: How to Systematically Find the Right AI Applications for Your Organization
A structured framework for discovering, evaluating, and prioritizing AI use cases, from workshop design to roadmap. For leaders who want AI that solves real problems.
Learn moreAI Team Organization: How to Structure, Hire, and Scale AI Teams That Deliver
How to structure AI teams using Holacracy, Agile, and proven org design. Covers hiring, onboarding, retention, and scaling AI engineering teams.
Learn moreSelf-Hosted LLMs for the Mittelstand: When It Pays Off
When self-hosted LLMs pay off for mid-sized companies: cost, data sovereignty, lock-in. Explained honestly by a partner who runs it themselves.
Learn moreCloud LLM vs. Own Infrastructure: The Honest Cost Calculation
Cloud LLM or your own GPU? The honest cost calculation with a break-even model you fill in with your own numbers. Pragmatic, not sales-driven.
Learn moreOur Decision Tree: Self-Host or Cloud?
The Opteria decision tree for self-host vs. cloud: four questions per AI workload that honestly clarify what belongs in-house and what does not.
Learn moreEvent Ops with AI Agents: What Can Actually Be Automated
Which event operations can really be automated with AI agents, and which must stay with humans. A pragmatic guide.
Learn moreHow to Run a Retrospective Meeting with AI Agents
A practical FAQ guide on how to run effective retrospective meetings when AI agents are part of your team: roles, questions, and templates.
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