BlueCallom BANKCIRO

Enterprise Workflow Intelligence for CIR Optimization

A holistic banking solution, injecting intelligent workflows that continuously help to improve the Cost Income Ratio (CIR)

The problem we solve

Unhealthy Cost Income Ratio

The problem we solve is deeply rooted in a growing complexity and can no longer be solved with conventional methods.

Analyzing an unhealthy Cost Income Ratio (CIR) is easy. Producing an intelligent solution, that can be executed in a timely manner is extremely complex.

BANKCIRO manages the following:

1) It iterates through countless options and variations

2) Craft the best possible solutions

3) Balances the Banks strategy and constraints with the possible measures

4) Crafts a management plan for execution

5) Allows the top management to oversee the progress

BlueCallom BANKCIRO helps reduce costs and increases efficiency without the need of reducing the number of employees.

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BlueCallom BANKCIRO observes all the bank’s key data and runs autonomously. It assesses the different aspects and uses various models to find the most critical actions to improve the CIR going forward. BANKCIRO improves its own suggestions and helps to get better over time.

IMPRESSIVE INTELLIGENCE
Artificial Intelligence is the foundation of this new solution. BlueCallom BANKCIRO can think, reason, create, abstract, and represent a level of ingenuity impossible to gain with conventional software. The advantage comes with speed and the ability to iterate through thousands of scenarios to find the best solution.

Core Benefits for Major Impact

BlueCallom Productivity Gain

Productivity Gains

BlueCallom Growth Potential

Growth Potential at no extra cost

More Info

Ranking Leadership

The Workflow

Setup, Definition & Objectives

An operations manager describes the company that is conducting the productivity amplification, the business field, and the corporate contingencies for a possible workflow alignment. Furthermore, operational targets, budgets, and several other important aspects for the undertaking. A set of AI-Agents will use this information and many other success relevant parameters to construct a productivity amplification environment and create its own Small Language Model.

Survey Process

Another agent now takes care of the survey where the invited employees are asked to help identify the biggest challenges that cost time but are not very effective or are ones that they would love to delegate to an AI-agent. The response is adjusted by the AI-agent to confirm it was understood by the agent. If ok by the employee it is sent to the repository of feedback. Another agent assesses all incoming reports, categorizes the reports, and summarizes each category.

Management Report

This agent develops a heatmap based on the assessed responses and visualizes the biggest challenges and the biggest classes of challenges. These reports are provided to the management. A ‘Report Agent’ creates a management report based on all feedback, assessment, the heatmap, and a summary of possible solutions.  Management now decides if the assessment makes sense and can ask the AI-agent to create solution suggestions.

Solution Execution

All participating department managers will receive suggestions to implement solutions for the identified productivity leaks. Part of the change plans is a budget plan, a timeline, and an approval for the execution.

  • 1.

    Setup, Definition & Objectives

    An operations manager describes the company that is conducting the productivity amplification, the business field, and the corporate contingencies for a possible workflow alignment. Furthermore, operational targets, budgets, and several other important aspects for the undertaking. A set of AI-Agents will use this information and many other success relevant parameters to construct a productivity amplification environment and create its own Small Language Model.

  • 2.

    Survey Process

    Another agent now takes care of the survey where the invited employees are asked to help identify the biggest challenges that cost time but are not very effective or are ones that they would love to delegate to an AI-agent. The response is adjusted by the AI-agent to confirm it was understood by the agent. If ok by the employee it is sent to the repository of feedback. Another agent assesses all incoming reports, categorizes the reports, and summarizes each category.

  • 3.

    Management Report

    This agent develops a heatmap based on the assessed responses and visualizes the biggest challenges and the biggest classes of challenges. These reports are provided to the management. A ‘Report Agent’ creates a management report based on all feedback, assessment, the heatmap, and a summary of possible solutions.  Management now decides if the assessment makes sense and can ask the AI-agent to create solution suggestions.

  • 4.

    Solution Execution

    All participating department managers will receive suggestions to implement solutions for the identified productivity leaks. Part of the change plans is a budget plan, a timeline, and an approval for the execution.

BlueCallom BANKCIRO: Technology and Setup

BlueCallom Solutions Deployment
DEPLOYMENT

Take a few days to familiarize yourself with how BlueCallom BANKCIRO works and what information it considers for a great output. The system is driven by countless agents who help guide you through great results.

BlueCallom Team Resources
TEAM RESOURCES

You may want additional insights from the various teams and department leaders. Then BlueCallom BANKCIRO.

Budget_Bluecallom
BUDGET RANGE

The budget depends on how complex the project will be, and how much compute power it needs. Various pricing models are available. We assume that you will run it quarterly or ideally weekly and not to miss any opportunities.

BlueCallom Solutions Setup
BLUECALLOM SETUP

Setting up a new BlueCallom (project) takes approximately 1 hour. For the first optimization project, we suggest a one-day workshop to learn how to work with Agents and how they process things in the background.

FAQ BlueCallom BANKCIRO

Implementation & Use Questions

BANKCIRO is ideal for medium and large enterprises with more than 500 employees. If a smaller company struggles with productivity, running it once a year may still be interesting. Contributing users may generate a consumption cost of around 2 cents (€/$/CHF) per person per contribution.

Absolutely. You would create a business account in BlueCallom and invite your client’s employees to respond. You then let the agents do their job and add your know how and experience and create a complete report including your suggestions to your customer.

Yes they could. However we do not suggest this mode. Should it be necessary, it would indicate that there is a significant level of distrust between team and management which would be a substantial part of things to fix. Should other organizations or laws require anonymity, it can be setup. 

We are happy to conduct a free demo where we show you what it take to run the solution. During the demo we also explore what role your team and team management plays. We would also explore based on your team size and expectations, what budget you should plan.

BlueCallom BANKCIRO is an independent solution and does not require any corporate data. It is not likely that existing systems support any of the processes we are running. But we could explore the situation in detail.

Our business is built on a “Zero Subscription” model allowing you to add any number of employees to the solutions. Only if they use BlueCallom we charge for consumption. Consumption is a sandwich of Cloud Infrastructure, AI Usage cost, Platform cost, Development and Maintenance cost and Tech Support. For BlueCallom BANKCIRO starts with € 5,000 for an entire Productivity Acceleration Project.

BlueCallom BANKCIRO is designed to optimize productivity, not to reduce cost. Therefore the answer is no. However, a wise way would be to leverage AI to use every available person and let the AI help them to be more efficient and help grow the business. Your current team knows the company, your market, your audience, and your partners. With the help of AI, they can do so much more !!! Helps you grow revenue and the bottom line.

Theoretically yes, if goals, objectives, market, team size, organization, customer base and most other factors are identical. However, if this is a fear, it might be interesting to also look into BlueCallom BANKCIRO, an autonomous innovation development system.

Technology Questions

BlueCallom Agentic AI Solutions use Open AI GPT-4-o or GPT-o-1 preview for the interaction with their LLM. The BlueCallom AAIS Technology (Agentic AI Solutions) is designed for large scale application in a clustered multi-agent environment. Multi-Agent systems can be a cluster of even bigger solutions.

BlueCallom applications are currently all multiagent systems. BlueCallom BANKCIRO is built as a 4-agent system. Future features and functionality including your features can easily be added or integrated. 

BlueCallom developed an open and structured AAIS Framework with an agent to agent communication protocol. This allows third party developer develop agents that can be embedded in other solutions. Very much like braincells, agents connect with a pre- and post synaptic handshake to ensure that those third party agent match the basic requirements of the Agent before and after the third party agent. Mare details can be found in the AAIS Framework.

AI systems are generally so-called multi-threatened systems. Since 2020 we developed non-linear innovation processes and leveraged parallel processes that stimulate users to think forward and backward in parallel to the main path. Agents or agent clusters can no take over that responsibility and intelligently keep the entire innovation process with all its complexity in a managed multi taking manner.

An innovation process is generally non-linear. Innovators constantly have to look back if what they invent is still in synch with objectives, market requirements, opportunities, company constraints, budgets and time. Today all that is an autonomous process done by agents. At the same time innovators need to look forward and send ideas and things to consider when building or marketing the solution to the future teams. Also this is done now by agents who capture those aspects and use it at the right time with the right content to the right people.

You could get access to the agent network and either create additional agents which you can drag and drop into a BlueCallom Agent Network or develop entire Multi agent clusters and add them to the solution (Agentic Hyper Cluster). The AAIS Framework helps you make those connections.

In general, integrations can be done via APIs. However, BlueCallom BANKCIRO is a self-contained end-to-end solution and does not need any company internal data access. Integrating current data from ERP or CRM is not required. However, if you see a need to connect to internal data we can certainly achieve that with a standard API access driven by functions within BlueCallom function calls.

There are multiple layers. One is our cloud provider i.e. Google in Zürich, the AI Backend provider Open AI with GPT. And our own efforts how data are structured, backup, and how access control is given. We are more than happy to share our confidential information with your security experts.