Completed functional concept prototype with fictional demo data
Strategic platforms

Control Tower – Decision & Execution Intelligence

A modular leadership platform that turns scattered operational and commercial signals into clear priorities, next best action, ownership and structured impact follow-up.

Control Tower is developed for leaders who need to understand what requires attention now, why it matters, who owns the next step, and how executed actions should be followed up.

Open demo · Fictional data · Changes are not saved

Open concept prototype with fictional, session-based demo data. Changes are not saved.

The challenge the project addresses

Many leaders receive large volumes of reports, KPIs and signals from different systems. The problem is rarely a lack of data, but a lack of prioritisation, coherence and clear action.

Risk, margin pressure, delivery deviations, weak customer development or contract challenges can be detected too late. Actions are often generic, ownership unclear and impact poorly documented.

Governance logic

Control Tower follows a clear governance chain from signal to impact:

  1. Signal

    What has changed?

  2. Consequence

    Why does this matter?

  3. Priority

    What requires attention first?

  4. Action

    What should be executed?

  5. Ownership

    Who owns the next step?

  6. Impact

    How do we know the action works?

«Next best action» is a central part of the solution. The goal is to prioritise actions and resources optimally — not just display status.

Two examples of the governance journey

Operational scenario: Delivery deviation

Signal
Delivery precision is falling in a critical region or partner structure.
Consequence
Customer satisfaction, costs and capacity may be affected.
Priority
The deviation must be assessed against other operational risks.
Action
Investigate drivers, clarify capacity and establish corrective action.
Ownership
The action is assigned a clear owner and deadline.
Impact
Progress is tracked until delivery precision and risk are stabilised.

Commercial scenario: Margin decline or contract expiry

Signal
Margin is falling or an important contract is nearing expiry.
Consequence
Customer revenue, profitability and forecast may be affected.
Priority
The customer is assessed against strategic value, risk and available capacity.
Action
Prepare new customer dialogue, pricing strategy or contract follow-up.
Ownership
Account owner and commercial leader are assigned clear roles.
Impact
The action is measured against margin, renewal and customer development.

The scenarios are illustrative and use fictional data.

What has been built

  • Shared landing page and leadership-oriented app shell
  • Operations Control Tower
  • Commercial Control Tower
  • Leadership overview with portfolio health and prioritised signals
  • Transparent rules engine
  • Prioritised risks and deviations
  • Action Centre with owner, deadline and expected impact
  • Next best action
  • Decision and verification logic
  • Scenario analysis
  • AI-supported brief with explained drivers and recommended actions
  • Fictional and clearly labelled demo data

The two modules

Operations Control Tower

Built

Operational governance module for partner performance, delivery, capacity, cost, quality and risk.

  • Partner performance
  • Delivery quality
  • Capacity
  • Cost
  • Risk
  • Deviations
  • Actions
  • Verification from action to impact

Relevant for COOs, operations leaders, operational leadership teams and organisations with complex partner or delivery models.

Commercial Control Tower

Built

Commercial governance module for customer health, margin, volume, pipeline, contracts, pricing and next best commercial action.

  • Customer health
  • Margin and volume
  • Contract expiry
  • Pipeline
  • Pricing and contract structure
  • Customer prioritisation
  • Team follow-up
  • Next best commercial action

Relevant for CCOs, sales directors, commercial leaders and B2B organisations with complex customer portfolios.

How the solution works

  1. Normalisation

    The platform demonstrates how structured Excel or CSV data can be normalized into a shared management model.

  2. Rules engine

    A transparent rules engine identifies deviations, risk and priorities.

  3. AI analysis

    AI is used to explain drivers, consequences and recommended actions.

  4. Action Centre

    Actions are transferred to the Action Centre with owner, deadline and expected impact.

  5. Impact follow-up

    Impact is tracked over time so leadership can see what has been executed, what works, and what must be adjusted.

Why the project is relevant

For COOs and operational leaders

Supports prioritisation of partner performance, capacity, cost, quality and risk.

For CCOs and commercial leaders

Connects customer health, margin, pipeline, contracts and follow-up in one governance view.

For employers

Documents the combination of commercial leadership experience, operational understanding, product development and practical AI.

For partners

Shows a modular platform logic that can be developed further towards concrete business needs.

Status and limitations

Control Tower is completed as a functional concept prototype with Operations and Commercial modules, shared governance logic, transparent rules engine, Action Centre and fictional demo data. The solution has no production backend or active integrations with organisations' CRM, ERP, BI, finance or contract systems.

Further development and scalable application

Further platform development

  • Production integrations with CRM, ERP, BI, finance and contract systems
  • Secure login and role-based access
  • Permanent history
  • Alerts and escalation
  • Periodic or real-time data updates
  • More advanced predictive analysis

Adaptation to other functions and industries

Other functions

  • CFO and financial management
  • HR and organisational development
  • Customer service
  • Project and programme management
  • Procurement and supplier management
  • Sustainability and compliance
  • Product and innovation portfolio
  • CEO and overall business governance

Possible industry adaptations

  • Recycling and circular economy
  • Industry and manufacturing
  • Logistics and distribution
  • Energy and infrastructure
  • Service businesses
  • Wholesale and retail
  • Healthcare and clinic operations
  • B2B companies with complex customer or partner structures

The governance logic itself can be retained, while signals, KPIs, thresholds, actions, roles and data sources are adapted to the organisation in question.

Professional perspective

Professional perspective: When you as a leader do not own the entire value chain →

From data to decision →

Marius Ottesen

Commercial leader and AI strategist

Develops business-oriented platform concepts that connect commercial leadership, operational execution, decision support and practical AI.

From business signal to next best action

Control Tower shows how leaders can move from fragmented data and reports to clearer prioritisation, ownership and execution. Get in touch if you would like to discuss how similar governance logic could be relevant in a leadership role, organisation or potential professional context.