Executive Summary
AgenticBlue helps Management and IT departments to make the new world of AI measurable, manageable, and scalable .
MOREOVER it allows interdisciplinary intelligent workflows and unlimited, yet controlable data exchange
AND FOR THE FIRST TIME – introduces a system that adapts to user behavior and not the other way around.
Agentic IT is not a spring board, it is a rocket Launch Pad into a new era of progress management.
The Problem we solve
Software IT is at the brink of collapse
Problem: Software-based IT
Too Complex to Create an Integrated Enterprise
Silos exist because systems like CRM, ERP, SCM, and PRM isolate their users. Centralized IT is not centralized at all, and because it lacks intelligence, it makes almost no sense.
Non Intelligent “Data In – Data Out” Machines
Essentially, it’s a data entry, storage, and retrieval system with a variety of different output combinations. The sheer size of companies today wouldn’t be possible without the massive computational power of our IT, today.
Data Management
However, those systems are dumb. A user entering an incorrect address or name can disrupt an entire process. A merger with another company is bringing unparalleled stress to the IT team, just because of article no. 34000 is a pair of socks in one database and a shirt in the acquired database. But a number change is not the issue; it’s the thousands of transactions and related connections behind that data.
For over 50 years, data cleansing has been an issue; no large company has found a solution. This makes scaling an IT issue, not a market issue.
Missing Human Factor
Moreover, with conventional software-driven IT, our industry failed to make IT a subordinate of the human user. Educating new employees, upskilling existing employees, and retraining employees for new solutions have been the single biggest roadblock to technological progress.
Dead End Technology
We quickly understood that 500 million lines of code can’t be changed overnight. Now we realize it wouldn’t make a difference if it were changed. Adding Bots, co-pilots, or Agents to those pre-AI-era systems would not make them better, as long as computer code remains the dominant structure. Still, most AI agents are written in Python to call an AI LLM when needed, while keeping control with non-intelligent computer code.
Explaning AgenticBlue
Solution: Native AI Architecture
It was far harder than we thought when we started in 2022. It isn’t just running Native AI multi-agent systems on a platform. The Platform needed to serve as a native AI platform that provides all the structure for those Agents and Applications.
The Vision
To make Enterprise IT work, we needed to think of a new technological paradigm. Yet replacing the old was such an immense undertaking that, from a conceptual point of view, it looked impossible. However, we chose a gradual transformation at each company’s own pace. To keep up with progress, competition, and our large organizations, we realized that agentic AI could be the new acentic IT. It could not only reduce costs by an order of magnitude but also increase productivity.
State & Memory
The stateful, memory-rich platform allows the serving of multiple independent, autonomous tenants. The underlying “operating system” handles statefulness when users and projects operate for months, regardless of internet access. It also handles multi-tenant memory management for both volatile and database memory.
Data Entry and Retrieval
Large portions of data entry and retrieval are no longer part of human administrative work. We use AI to digitally enter or generate data, then process it autonomously and with Human-in-the-Loop (HITL) for validation, maybe change it, but not type data painfully into a machine. The use of AI allows us to review, validate, adjust, and reason with data to a degree that would be impossible with human time and effort. Dumb data entry becomes intelligent, human-observed information.
Data Management
The dilemma with conventional software was solved by a unique, proprietary database architecture. The BlueCallom database uses AI to handle data management so that flaws are discovered and fixed on the fly. Only if it is not possible do we bring a human into the loop. Record IDs can be duplicated from hundreds of acquisitions if needed. We handle data intelligently at scale. We eradicate the need for expensive and still not perfect datacleansing with smart use of AI.
We don’t have a better idea than those who tried for five centuries – so we changed the paradigm
Intelligence Management
To organize tens of thousands of intelligent AI agents, we followed, as we often do, nature and its concept of the human spine and its various mechanisms. It proved once again that the Intelligence over Code method was extremely helpful in orchestrating large numbers of agents, much like our brain orchestrates a large number of very different neurons. Further technology we developed allowed us to organize the agents with neuronal agent-to-agent protocols.
Future Prove Architecture
BlueCallom is built with A Prompt-over-Code architecture, allowing a direct interaction between application and LLM, and changing the AI STACK HIERARCHY: Intelligence over Code (IOC). We are not a no-code company. We still have thousands of lines of code, but only for interacting with systems and functions that must be coded for access or precision. Agentic AI is brilliant in most ways of thinking – but not in math. So we still use code when appropriate. It’s not a technological belief system; it’s purely rational.
Adaptive & Dynamic, for all Users
Only now can we build workflows that adapt to user intuition, make them adjustable to customer behavior, or allow untrained people to rapidly achieve great success without changing their behavior.
Measure, manage, and scale
your Enterprise AI engagement
What you can measure you can manage and only then scale
1) DIGITAL AI ASSETS
All Prompts, Agents, Data, System Access, and entire AI Applications are treated as Digital AI Assets. That’s the prerequisite for measuring every step an AI takes or initiates. Only now can you measure AI productivity and ROI.
2) AI LIBRARIES
All AI Assets (Agents, Applications) are discoverable in corporate-controlled libraries by either all employees or selectively by authorized departments, business units, and managers.
3) PRODUCTIVITY VALUE
All AI Assets have a default and an associated productivity value to measure the asset’s productivity. Our Human-in-the-Loop model allows users report on those values when observing its work.
4) SOURCE AND USAGE
Every individual AI Asset carries the author’s name as the source and logs user activity to track usage and intensity, helping navigate the AI strategy.
5) IP PROTECTION
Intellectual property is protected as AgenticBlue serves prompts to users from its platform without exposing any scripts or code.
6) AI MANAGEABILITY
For the first time, AgenticBlue enables top management to oversee their organization’s processes digitally. It also understands the value of AI Solutions or even small Agents that float around in the organization.
Management Summary
In many businesses, AI Prompts and Agents are quickly made available without knowing who developed them, who uses them, or how they contribute to the business. While it was great to allow the experimentation, it’s time to manage those valuable items professionally.
AgenticBlue provides the following solutions:
- You can upload all your prompts and agents to the BlueCallom platform to convert and make them compatible with our AgenticBlue management system.
- The BlueCallom team runs a test-and-review process to ensure there are no issues with those assets.
- All assets are then in a dedicated library, so you can decide who in your organization shall have access. For large enterprises, we can make informed decisions based on asset type.
Once accessible (which may take a day or two), employees can use their tools on the BlueCallom Platform as they did before. Other users may also gain access, and usage is growing. Centralized or collaborative AI Asset management can further develop assets as they receive user requests.
The base process is established. Yet customers may have specific requirements which we are happy to explore and discuss. Customization is surely possible.
Enterprise AI Management Impact & Results
Managing all your Digital AI Asset
Scaling AI adoption and usage across the enterprise
Understanding productivity development opportunities
AgenticBlue Platform: 4 Internal Systems
LIBRARIES
AI Prompts, Agents, and multi-agent Solutions are stored in a network of corporate-wide libraries. Libraries can be open to all employees or only to specific departments or individuals.
MANAGEMENT
A distributed network design allows managers to manage Teams, Assets, and Results. Departments invite their teams and assign rules and rights. Rules may include author rights to create prompts or agents and usage rights to use them. A report and analytics system makes the AI Assets, the usage, and the results, including productivity, visible.
TRANSFORMATION & DEVELOPMENT
Existing prompts and agents can be transformed into an enterprise-ready state. The BlueCallom ‘Shadow-AI Transformer’ is an AI-based solution that converts any conventional prompt to a BluePrompt that can be managed, measured, and maintained within AgenticBlue and meets security requirements. Professionally designed Agents can also be converted, but this is yet to be assessed.
The AI Development system GPTBlue is fully integrated into the AgenticBlue Platform. Prompts, Agents, and multi-agent Solutions are automatically compatible with each other across the enterprise and even for third-party developers.
SECURITY
The security system protects the IPs of Prompts and Agents so they can’t be accidentally compromised. Access to custom models or APIs for any internal or external system cannot be gained through any prompt or agent unless it is used in the defined way. The general user login supports two-factor authentication.
MANAGEMENT DASHBOARD
Scalable reporting architecture for executives, operation management, project management, and teams. Understanding the overall productivity gain and development over time. Productivity The productivity gain is measured by using an average time a person would save based on the knowledge from the agent author. Also the system asks users about how much time they estimate to have saved. Furthermore data like Process Performance, Productivity by Process, Team Participation, Solution-specific KPIs, and workflow progress are measured and displayed.
HQ overview, country overview, department overview. Avail Q1/2025
Use Cases
We have been confronted with the hope of solving the manageability issue for our customers. Today, with over 100 companies on the platform, we have learned much and received valuable user feedback.
Our customers and partners have diligently influenced the evolution of AgenticBlue. It’s currently used in various industries, including financial services, tech, and pharmaceuticals.
The main driver was to get the countless prompts and agents under control, learning who was using them and what productivity was gained.
In addition, the learning included how strategic some of the agents are and how they can be maintained and further developed.
AGENT DEVELOPMENT
For the unlikely event that you want to still develop your own agents or applications.
We integrated our GPTBlue AI Development System with its three studios, Prompt Studio, Agent Studio, and Solution Studio (multi-agent solutions), into the AgenticBlue Platform. Every authorized developer can now develop prompts, make prompts “Agent-Ready” with a click of a button, and create multi-agent networks via drag-and-drop.
External developers can quickly develop solutions that match the AgenticBlue Framework’s global conventions. Deployment is then just a click of a button.
Enterprise AI Framework
Native AI Platform : Technology and Setup
DEPLOYMENT
Deploying AgeneticBlue takes a bit of planning. This depends on how many Generative AI solutions are already implemented. The general deployment process is done in less than a day and is essentially structuring the users and their roles.
TEAM RESOURCES
The platform is typically managed part-time by an IT manager. Skill sets include API access, a general understanding of GPT systems, LLMs, and database access. The actual business users have a very easy-to-use interaction model via browser.
BUDGET RANGE
The AgenticBlue platform is essentially free unless customized functionality is needed. The payment for the platform is simply a pay-per-use for the agent and prompt runtime and the AI infrastructure.
SCALING
AgenticBlue can scale through the fact that both the processing power and AI-compute power scale through the leverage of some of the largest cloud providers, including Open AI and Google.
FAQ for AgenticBlue
Implementation & Use Questions
For what company size is it?
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.
Can it be used by consultants helping their clients.
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.
Can participants answer respond annonymously?
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.
What would it take to implement and get started?
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.
Integration with existing systems
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.
What is the business model of BlueCallom
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.
Will it help reduce our team size?
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.
Would a direct competitor get to the same level of increased productivity?
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
What is your AI technology backend?
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.
What about Agent and Multi Agent Systems
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.
How do BlueAgents communicate with each other?
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.
How do you build non linear processes
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.
What are non-linar process examples
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.
How can we customize the innovation process?
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.
How can we integrate our current IT and data?
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.
What data security practices do you have?
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.