Q&A
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Book a Free ConsultA Fractional CAIO is a senior AI operations leader who works with your business on a part-time or project basis. You get C-suite-level AI strategy and implementation expertise without the cost of a full-time hire. Engagements typically run 10-20 hours per week on retainer, or as a fixed project.
Most businesses are not ready — not because AI does not work, but because their data foundations are not in place. If you are juggling 5+ disconnected tools, have manual workflows eating 10-20 hours per week, or have tried AI tools that did not deliver, those are the signals. Every engagement starts with a Data Health Assessment to find out exactly where you stand.
Growing businesses typically between $5M and $50M in revenue — founder-led companies, Series A/B startups, and established businesses with 10-150 employees. The common thread is operational complexity that has outpaced the team's ability to manage it manually.
We work across industries because operational chaos and data health problems are universal. Current and past clients include wholesale distribution, fitness and wellness, professional services, home services, healthcare technology, enterprise telecom, and nonprofit. What matters more than industry is the readiness to fix the foundation first.
Most engagements follow three phases: Phase 1 is a Data Health Assessment (1-2 weeks) where we audit your systems, score data integrity, and map your workflows. Phase 2 is Foundation Repair (2-4 weeks) where we fix what is broken. Phase 3 is Intelligent Automation where we layer AI tools onto a clean foundation. You can engage for just Phase 1, or run all three.
Yes, 100% remote. All client work is delivered remotely across the United States. This has been the working model for 10+ years.
For strategy, diagnosis, and oversight, you work directly with Collette. For complex technical implementation such as data engineering and custom integrations, vetted specialists from a trusted network are brought in as needed. All work is overseen by Collette and delivered under a single engagement.
After an initial 30-minute AI Readiness call, most engagements can begin within 1-2 weeks. The assessment call is free and commitment-free.
The most common reason is data health. Companies buy AI tools and layer them onto fragmented systems, duplicate records, and inconsistent data. The AI then amplifies the mess rather than solving it. Garbage data in, garbage decisions out. We fix the data foundation before any automation is deployed.
A structured audit of all your existing platforms and data sources. We score your data across six dimensions: completeness, accuracy, consistency, timeliness, validity, and uniqueness. You receive a data health scorecard, a system integration map, a workflow gap analysis, and a clear AI readiness report.
No. The goal is to automate the right work — repetitive, manual, time-consuming tasks that pull your team away from high-value work. Human judgment stays in the decisions that matter: strategy, relationships, exceptions, and oversight. AI amplifies what your team does best; it does not replace it.
It depends entirely on your existing tech stack, budget, and specific workflows. We never recommend tools before understanding your data health and operational context. The right tool on a broken foundation still fails. The assessment phase is specifically designed to match the right solutions to your actual situation.
