Independent counsel on technology investment
Comdatus Consulting helps leaders separate genuine opportunity from competitive noise, so that investment follows business value rather than the other way round.
42 slots left this month · two per working day
Adoption is not a strategy. The goal is not to become an AI company, it is to become a better one.
Comdatus Consulting, The AI Gold Rush
Artificial Intelligence
Staff do not read the strategy, they feel the change in their job. Uncertainty alters behaviour long before automation alters headcount, and badly handled it destroys the adoption the programme depends on.
Article · September 23, 2026 · 6 min read
Artificial Intelligence
The best model in the world reasoning over unreliable information still produces unreliable answers. Fragmentation, duplicates and permissions decide feasibility long before the model does.
September 22, 2026
Artificial Intelligence
The subscription is the cheapest part. Data preparation, integration, oversight, change management and security are where the real cost of AI sits.
September 18, 2026
Artificial Intelligence
Technical feasibility and business justification are different tests. Volume, stability, error tolerance, data quality, customer expectations and regulatory exposure all change the answer.
September 18, 2026
We start with the decision, not the technology.
Deciding what to do and what to leave alone, with the economics attached before the commitment is made.
ExploreChoosing the few use cases with a defensible business case, and building the governance that keeps them working.
ExploreTechnology, process and people moved together, because changing one without the others is how programmes stall.
ExploreProcess economics first: volume, stability, error tolerance and data quality decide whether automation pays.
ExploreThe data foundations that decide whether a model is possible at all, costed honestly before the build.
ExploreDecision rights, oversight and capability, so the organisation can actually run what gets built.
Explore
Artificial Intelligence
Starting from what the technology can do makes everything look transformational. Starting from where value is actually captured produces a far shorter and more useful list.
Article · September 17, 2026 · 7 min read
Artificial Intelligence
A system can work exactly as configured and still damage the business. The failure modes are organisational, not technical, and most of them are predictable in advance.
Article · September 17, 2026 · 7 min read
Artificial Intelligence
88% of organisations were using AI by 2025, yet Gartner found at least half of generative-AI projects abandoned after proof of concept. Adoption is not a strategy.
Article · September 16, 2026 · 7 min read
04
Our method
We run every opportunity through the same screen. If it does not clear all five, we will tell you so, even when that means recommending you do less.
Read the full assessment →What specific outcome improves: revenue, margin, capacity or cycle time?
Is the process repetitive, stable, and objectively measurable?
Is the information this depends on accurate, available and permitted?
What is the true cost of ownership, set against the value actually captured?
What happens when the system is wrong, and who notices?
Clear all five and we move. Fail one and we fix that first.
05
You describe the decision in front of you and send your notes in advance. We arrive with a view, and tell you honestly whether this needs us at all.
What we think the opportunity is worth, what it would cost to capture, and what would have to be true for it to work. In writing, with the numbers shown.
Only if the case holds. A defined scope, a named team, and the measures we will be judged against agreed before anything starts.
We build capability inside your organisation rather than dependency on ours. The handover is part of the scope, not an afterthought.
Tell us what outcome needs to move: revenue, margin, capacity or cycle time. We will tell you honestly whether technology is the shortest path to it.