One accountable owner for the full chain: strategy, team, systems, results. 50+ organizations advised at C-level.
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Capacity: 2-3 retainer clients at a time. Direct work with Dr. Struve, no delegation.
Real engagements. Measurable outcomes. No hypotheticals.
Agenovation works with profitable businesses: manufacturing, professional services, financial services, technology, and family-owned companies where leadership knows AI matters, but no one yet owns it end-to-end. Most engagements start with one concrete bottleneck.
Multi-agent workflows that take over repetitive knowledge work: research, reporting, document processing, and routing.
Learn more →Scattered data in ERP, Excel, email, and documents consolidated into one reliable automated flow.
Learn more →Quantify where AI creates measurable value in your operations before committing budget to tools or hiring.
Learn more →Standardized, AI-assisted evaluation pipelines for investment teams. Proven: more than 80% less evaluation time per deal.
See the case →Real-time monitoring across hundreds of entities with automated prioritization and alert routing.
See the case →Local or EU-hosted AI deployments for IP-sensitive operations, with deployment choices tied to EU AI Act risk tiers and ISO/IEC 42001-aligned governance. Benchmark-driven model selection included.
Explore models →It is quite amazing. I had embarked on trying a dynamic agent loading and tool stitching system with poor luck, but your suggestion and repo was a breakthrough for me in getting off the ground.
Achim is one of the most capable and reliable people I have worked with at Outlier Ventures.
This is really strong. This will save me hours.
Thank you for putting this together, super helpful.
The assistant takes work out of the practice that used to sit in my head or land after hours: inquiries, waiting list follow-up, documentation drafts, handouts, and daily open tasks. It gives me structure, prepares the repetitive parts, and helps me keep the practice moving without losing track of details.
30 minutes. Identify what is blocking progress and decide together on the right next step. No pitch, no obligation.
Senior buyers who prefer writing first: or email [email protected]
Currently taking on 2-3 retainer clients at a time
Dr. Achim Struve serves as Fractional Chief AI Officer for technology-driven organizations. PhD in Engineering (Summa Cum Laude, KIT), 3+ years as Head of AI & Token Engineering at Outlier Ventures, 50+ organizations advised at C-level, 30+ systems designed and deployed. AI transformations stall at the human layer: misaligned leadership, teams that resist, implementations that don't survive contact with real workflows. The work combines structured change management (Kotter, ADKAR) with Lean Six Sigma process discipline, so adoption is managed as part of delivery, not left to chance. As your Fractional CAIO, he takes ownership of the full AI function: from leadership alignment to shipped production systems with measurable results.
Your CAIO translates "AI-first" from a direction into a concrete operational plan. Aligns leadership on priorities, ownership, and what not to automate.
Structured assessment of organizational AI readiness, a prioritized opportunity map with quantified value, and a concrete 90-day action plan. Fixed scope.
A named Chief AI Officer for your organization without the full-time cost. Strategy, team leadership, cross-departmental coordination, KPI accountability. From 3 months.
Your CAIO leads or builds out the AI function. Defining priorities, establishing working processes, managing cross-departmental interfaces, and driving adoption.
Your CAIO owns the design and delivery of AI systems tied directly to business KPIs. From data structuring and architecture to production deployment and measurement.
Your CAIO evaluates build vs. buy, manages AI vendor relationships, and ensures technical decisions align with business strategy, not the other way around.
Select one concrete manual bottleneck and assess effort, data availability, and fit.
2Map the process, data sources, risks, data protection requirements, and business case.
3One named use case, one delivered result, 4-8 weeks. Best when you want to see AI working in a real operating workflow first.
4If the first sprint proves value, ongoing ownership follows: roadmap, team leadership, system delivery, and KPI accountability.
For businesses considering local AI, private deployment, or data-compliant model hosting, benchmarks are a useful starting point. Workflow-specific testing still decides the model.
Compare open-weight language models across reasoning, math, instruction-following, and professional knowledge benchmarks. Useful for CTOs and business owners who need a shortlist before testing local or private AI deployments.
Explore the dashboard →Estimate where AI can create measurable value in your workflows before committing budget to tools, vendors, or internal hiring.
Open the scorecard →So I can get back to you with a thoughtful response.
Optional, but helps me prepare before our conversation.
Understanding your pain points helps me prioritize how to help.
This helps me calibrate scope and implementation path.
Thank you. Your request is in. Next step: book your slot directly in my calendar.
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