#ai strategy

[raffaellopalandri]

The EU AI Act and the Forgotten Competence of the Future: Why Complex Systems Require Polymathic Thinking

The EU AI Act is often perceived primarily as a regulatory challenge, as another layer of compliance requirements, documentation obligations, and control mechanisms that organisations must integrate into their existing processes. This perspective, however, remains incomplete. The deeper significance of the EU AI Act lies not only in the requirements it imposes on AI systems, but in the structural…

[innoiraconsultingservices]

Robotic Process Automation Services in Dubai | RPA

INNOIRA delivers Robotic Process Automation (RPA) Services in Dubai to automate workflows, reduce operational costs & drive intelligent dig

[innoiraconsultingservices]

[innoiraconsultingservices]

[bluetickconsultants]

from "tokenmaxxing" to actual results: what Uber figured out about enterprise AI

quick gut check: roughly 95% of corporate generative-AI pilots produce no measurable business impact. Companies buy a pile of copilot seats, wait for magic, and mostly just end up with employees using AI to rewrite emails. bluetickconsultants

the article's argument is that the model isn't the problem — deployment is. copilots are built for tidy, isolated tasks, but real corporate work is messy, spread across a dozen systems, and never documented the way it actually happens.

so what's actually working? Agentic Pods. the formula is simple: pair one engineer who knows your internal systems with one domain expert (finance, HR, support, whatever) and give them a hard 10-day sprint:

days 1–2: shadow the expert, document the unwritten habits

day 3: prioritize by impact + data availability

days 4–5: build the agent together

days 6–9: validate it against other people doing the same job

day 10: ship straight into production

Uber ran 16 of these pods across 16 business functions in two months. one finance workflow (capital allocation modeling across 150 cities) went from 15 hours to 30 minutes. a QA task went from 2 weeks to 50 minutes.

the piece also walks through Uber's "Finch" agent — lives in Slack, lets finance analysts ask plain-English questions instead of writing SQL, with a supervisor agent routing to specialist sub-agents and role-based access control baked in.

the bigger point: throwing tokens at every task ("tokenmaxxing") looks good on a dashboard but doesn't move the P&L. tying AI spend to one specific workflow and measuring the hours it actually gives back is what separates the 5% from the 95%.

full breakdown (with the code behind Finch) here: bluetickconsultants.com/tokenmaxxing-to-real-roi-agentic-ai-beyond-engineering

[raffaellopalandri]

The Organisation of Incapacity: Why Many Companies Do Not Fail Because of Technology, but Because of the Managers They Select

The discussion about the transformation of German organisations often begins at the wrong point. It begins with technologies, markets, regulatory requirements, or geopolitical changes, meaning those factors that are visible on the surface and therefore easily interpreted as causes. Companies speak about digitalisation, artificial intelligence, automation, agile transformation, and new business…

[tdwf-articles]