“Still making decisions? How quaint.”
Introducing the Age of theMinoid
By 2035, managers likely won’t be making decisions at all.
They’ll be approving, training, and supervising a new kind of digital entity: their Minoid.
Minoid (n.): An AI-enhanced operational clone of you, trained to process context, synthesize data, generate decisions, and get things done.
Not a chatbot. Not a dashboard. Not a glorified spreadsheet. A living system that behaves like a manager with unlimited focus, infinite data access, and no emotional baggage.
Evolution of Business Intelligence: From Reports to Autonomous Reasoning
Let’s break it down:
2020: BI = Dashboards and scattered Excel files.
2025: BI = Centralized reporting + data stack adoption (BigQuery, dbt, Metabase).
2030: BI = Data Storytelling Platforms + Early Insight Layers + real-time alerts.
2035: Minoid-Based Decision Systems — where actions are recommended, simulated, and executed autonomously. Humans set intent. AI handles logistics.
Join the waitlist for Minoid — the Decision AI Assistant
What Does a Minoid Actually Do?
Let’s be specific. Our clients are already experimenting:
A 70-person SaaS company eliminated free trials after their Minoid detected higher LTV among direct conversion users. The result? +11% conversion rate, $280K+ increase in ARR in one quarter.
A regional airline with 300+ weekly flights used Minoid to realign fleet rotations in response to Friday weather patterns. The savings on operational inefficiency and staff penalties? Over €460K/year.
A construction company managing 12 projects across 3 countries leveraged a Minoid system to flag upcoming supply chain disruptions from steel vendors in Kraków and Vilnius. Preemptive reorders avoided $530K in delays and penalty fees.
A manufacturing plant with 6 production lines used Minoid logic to adjust maintenance and shift allocations. Identifying recurring drop-offs on Line 3 every Tuesday, it proposed schedule realignment — yielding $390K/year in improved throughput.
Each morning, your Minoid presents:
Tactical tasks: Pause underperforming ad sets?
Operational pivots: Reallocate teams for peak hours?
Strategic themes: Combine churn metrics for global forecast?
You:
Approve or reject.
Add context (so it learns).
Refine data feeds, signals, and constraints.
The rest of your day? Spent teaching your Minoid to think better than you did last quarter.
Why Most Companies Will Fail at This
Because they think they can buy a Minoid like they buy an off-site.
But the truth is:
No centralized reporting? Your data is noise.
No Storytelling layer? Nobody understands what’s going on.
No Insight system? You get alerts but no explanations.
No Action platform? Decisions stay theoretical.
In other words: if you’re still reconciling KPIs in a Google Sheet named “Final_FINAL_Q3_v7,” you’re not Minoid-ready. But that’s okay — we’ll help you get there.
Book your BI Maturity Audit — and see where your Minoid journey begins
The Navigation Metaphor You Can’t Unsee
Two construction firms. Same scope: 3 business centers in 14 months.
One uses a Minoid-based system that manages supplier schedules, reorders high-risk inventory, and alerts project managers of permit delays 3 weeks out. Project delivered in 13.2 months.
The other runs on weekly syncs, 38 emails per decision, and two 2-hour alignment meetings every Tuesday. Delayed by 2 months. $740K over budget. No one remembers why.
Same bricks. Different BI.
Will Managers Become Useless?
No. They’ll become finally useful.
“There’s no new literacy for the future manager. There’s just the old one — finally working.”
In a 120-person SaaS company, the Head of Marketing previously spent 7 hours/month reviewing CAC and LTV across 3 regions. Now? Their Minoid pre-flags cost anomalies, suggests actions, tracks results, and adjusts future campaign weighting. Outcome: 6.2 hours saved monthly + $310K quarterly gain in ROAS.
Instead of:
“What’s happening?” — you’ll ask: “What can I improve in my Minoid’s logic?”
“Let’s align.” — you’ll say: “Let’s audit the decision engine.”
BI will shift from visibility to velocity, and from dashboards to judgment layers.
What Can You DoToday?
Find your level
Still building dashboards manually? Not sure if you’re Centralized or Storytelling?
Track decisions
Start recording what decisions were made, when, and based on what signal.
Connect insights
Map signals to insights to outcomes — build your own signal chain.
Start slow
Begin with one role. One process. One set of dashboards.
Bonus Thought: The ROI Is Real
A Series B SaaS platform used our maturity roadmap to move from chaos dashboards to a storytelling platform in 9 months. Revenue attribution clarity improved by 3x. Outcome: confident budget cuts, saving $420K/year.
A global aircraft maintenance firm adopted an Insight engine using 7+ years of delay and part failure data. Minoid found pattern clusters the operations team missed. Just-in-time planning avoided over $1.2M/year in unplanned repair costs.
These aren’t theories. They’re real. They’re working.
Final Thought:
“You can either manage dashboards — or manage decision-makers.”