Turn AI ambition into a practical decision
An enthusiastic team and a model subscription are useful starting points. They do not tell you whether your data is accessible, whether a workflow can support automation, or who will own the result. I help founders and growing businesses make those decisions before committing to a build.
What we examine
The assessment connects six areas: business priorities, people, processes, data, technology, and governance. We map a real workflow, identify its bottlenecks, and check the information and integrations an AI system would need.
What you receive
- A prioritized use-case portfolio with business rationale.
- An assessment of data, integration, and organizational gaps.
- An architecture direction and a staged implementation roadmap.
- An evaluation plan defining what a useful result looks like.
- Ownership, oversight, and escalation recommendations.
How the engagement works
We start with stakeholder conversations and a review of the current workflow. The roadmap then separates opportunities ready for implementation from those needing better data, clearer process ownership, or a conventional software improvement first. The outcome is a decision your team can act on, rather than a score in isolation.
Common questions
Do we need to know which AI tools to use?
No. Tool selection follows the problem, constraints, and evaluation criteria.
Can the assessment lead into implementation?
Yes. I can carry the agreed roadmap into product engineering through Artebello.
Does every workflow need an agent?
No. A predictable rules-based automation can be the better choice. See my agent-versus-automation guide.