Could AI-C deliver Brexit?

Could AI-C deliver Brexit?

Could there have been a better way to reach agreement over Brexit? We may never know but had prime minister Theresa May had access to the Rialto Consultancy Augmented Intelligence Consulting (AI-C) platform it might have brought clarity to the decision-making process.

There have been few higher profile examples of a lack of alignment among a group of senior people than in the House of Commons over Brexit. Reputations have been tarnished and trust has been lost with the heated and acrimonious debate that has taken place in full public view. There can be no doubt about the negative impact of the prolonged discussions that have taken place.

Most business leaders have probably experienced lack of alignment behind their strategies and missions at times and know how difficult it can be to reach a resolution, which is precisely where AI-C can help

Rialto is using it’s AI-C methodology to help clients solve future business and people challenges by utilising modern business decision making models (developed with Harvard Business School) fit for the current age to automate the process of developing a strategy to secure high-impact outcome-based goals more quickly.

What is AI-C methodology?

AI-C methodology effectively takes a snapshot of individual stakeholders’ thinking in a decision-making process. If the prime minister had greater insight into the minds of those she was dealing with at the start of the exercise, it would have enabled her to identify the roadblocks ahead.

The AI-C platform uses a three-stage process to help identify and navigate roadblocks that might impede creation of a strategy, aligns individuals or project team behind it and reach agreement on a roadmap for action. The methodology begins with a diagnosis where participants are invited to offer their opinions on the project purpose. The tool then uses business event analysis modelling (BEAM) to interpret huge volumes of data.

It makes use of a personal digital assistant called Joe that uses AI-based skills to supply a set of conclusions from all the opinions gathered. It then automatically generates a foundation document which drives stakeholder engagement and creates a rich scorecard, action plan and roadmap. More than 400 projects have been successfully run in the US, Europe and UK.

The top seven areas that AI-C is proving particularly effective in are:

  • Achieving a new level of quality decision-making
  •  Innovation, digital and culture change priorities
  • Process improvements/new target operating models
  • Policy determination
  • Programme execution
  • Improvements in customer, external and internal relationship building
  • Realising new market strategies

“AI-C helps leadership teams to get from ‘We all think this’ to ‘We all agree to that’ and is faster and more accurate and complete than traditional consulting or internal leadership team approaches,” said Richard Chiumento, director of Rialto Consultancy.

“AI-C overcomes the cognitive biases which are behind why many humans don’t always see or agree on the current reality clearly. This is especially the case with longer serving teams. It can create delay, stress and frustration that leads to most change or transformation programmes failing because of misalignment.”

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