I’ve got to make a decision but how do I come up with a plan? My BI is irrelevant because the future does not look like my past. AI is mostly irrelevant because it is trained on past data that doesn’t look like the future. My team has very different expectations about the future. Do I just rely on gut feelings?
How do I get the people in my organization to act according to the plan? How do I operationalize a strategy at scale while preserving optionality? I can’t just do an all-hands webinar or send out a presentation to tell them what to do. Especially when I know I will have to update my assumptions over time.
Whatever educated assumptions I make will turn out to be wrong. How do I keep up with rapidly changing business realities? How can our people on the frontlines quickly inform management about what they are seeing and how can we rapidly adjust strategies as new realities emerge? They can’t do that quickly enough via phone calls or feedback surveys.
Aible enables users to try out dozens or even hundreds of scenarios to see how different assumptions would impact the business. Aible also adjusts its AIs based on your expectations about how the data in the future would be different than the original AI training data. Aible then creates a portfolio of AI models that would be optimal in each of those scenarios (plus thousands of other scenarios that haven’t been manually considered), and deploys the models automatically. At every step, this process preserves optionality. Users aren’t locked into testing just a few scenarios or deploying a single model. That’s critically important at a time when the range of possible business scenarios is immense and in many ways, unknowable.
Organizations need to decide how they can optimally allocate budgets. Aible automatically helps you balance your investments across different subgroups such as regions, products, marketing campaigns, sales teams, etc.
No one knows what will happen during uncertain times. Aible enables multiple contributors to effectively collaborate at scale to try out different scenarios, conduct hypothesis testing, build consensus, and consider risks.
With Aible, the strategy is pushed out to predictive models in Salesforce, Marketo, or other applications that end users work with every day. Aible advises users what to do at the moment of taking a decision, based on the latest strategy. In this way, strategy is pushed out to the organization and fully operationalized at scale.
Leadership can continue to update assumptions, and if that would change the optimal choice of AI, the right AI is used to deliver predictions and recommendations. Even after rolling out your strategy at scale, you can continue to adjust it.
Departments, regional heads, or even individual end users can adjust to a different (pre-approved) approach based on their specific business realities. This empowers different levels in your organization to refine your overall strategy for their unique circumstances and expectations.
Aible’s portfolio of models cover many potential business realities and allow for rapid micro-adjustments as business realities evolve.
Aible enables people on the front line to provide feedback based on the business realities they see on the ground. With a single click, end users can provide feedback when the assumptions are no longer correct or if the AI is telling them to do something that doesn’t align with their preferences or what they’re seeing day-to-day. That feedback in turn informs the people creating the AI models, so that micro-adjustments can be made in a collaborative way. If you make AI a one-way process, in which data scientists create the AI and business users passively consume it, the AI will go very wrong quickly, or won’t be adopted at all.
Aible constantly learns from every prediction it makes. Aible continuously monitors and collects data, knows exactly when the new data is sufficient to retrain models and automatically detects when a new model for a subgroup is appropriate.
Collaborative Refinement that respects the unique skills and needs of your people
Aible’s specialized products allow for incremental levels of dialing in adjustments. Aible Advanced enables experts to enhance the data, create models and refine them at a broad level. Aible Business enables users to put in their business assumptions and adjustments, so that the models go from abstract to real-world. Finally, Aible for One further refines the predictions and recommendations on an individual level, down to the end users. Aible continuously dials in adjustments by giving more and more flexibility downstream, but within the ranges established by the relevant decision makers (data scientists for models and business leaders for assumptions). Each layer sets up a safe space for the next layer, within which the users can adjust the models based on their unique needs and skills.
Informed Decisions while preserving optionality
At every step in the process, Aible preserves optionality. It does not lock you into trying out a single scenario or a single model. It lets users test many different scenarios and creates a portfolio of models that cover not only all of those scenarios, but thousands of other possible scenarios. When business conditions change – as they will for the foreseeable future – the right model from the efficient frontier of models is used based on the current reality at the appropriate organizational level.
Aible delivers an efficient frontier of dynamically-balanced models to ensure that as market conditions change, other models in the portfolio that reflect those new business realities can be used. The portfolio approach is far more resilient because you’re always assured of using the right model at the right time. Aible’s preservation of optionality at every stage in the process is a crucial advantage in turbulent economic times, when businesses will find it virtually impossible to test a single strategy, build just one model, and expect it to cover any eventuality. The future is far too uncertain. Only Aible empowers businesses to plan for many different scenarios – even the ones they haven’t thought of yet.