Intelligent Enterprise Framework

Today organizations can’t ignore the need for digitization, and humanity can’t ignore the need for purpose and meaning. The best and ultimately most successful approach to enterprise transformation is one that starts with purpose, uses ongoing data with results to continuously improve and achieve sustainable growth.

Humanomy aligns organizational purpose, offers efficiencies, clarifies priorities, uncovers inconsistencies that hold back growth, simplifies decision-making, and puts human centrality at the core of enterprise strategy forming ‘Learning Enterprises’ that are connected with ecosystems to co-create value by combining diverse knowledge with data.

What is Humanomy

Humanomy is an Intelligent Enterprise Framework that enable successful creation and evolution of an Enterprise Transformation Platform with emphasis on intellectual capital and human convergence to execute all necessary steps of digital transformation for a sustainable enterprise ecosystem.

Humanomy solves the core enterprise transformation dilemma of how organizations can maintain profitability in their legacy business activities while reaping the full potential of their newly transformed digital ecosystem with human centrality as a core competency.

What is unique about Humanomy is its focus on applied creative intelligence that requires organizations to bring people — employees, suppliers, partners and customers — to center stage of enterprise transformation to develop mature and effective practices for a complete and seamless suite of advisory, training, certification, methods, standards, and tools to help institutionalize human centrality.

Humanomy Intelligent Enterprise Framework Components


Transformation is as much about designing for humans as it is about adopting technology. In today’s global marketplace, leaders across industries are looking for a step change in business performance. What they are looking for is Enterprise Transformation.

Humanomy is an Intelligent Enterprise Framework that enable organizations to execute the vision and strategy that enhance the speed and certainty of enterprise transformation journey through human centered transformation.

Humanomy IDEALS for Intelligent Enterprise Transformation

Enterprise Transformation Factors

Significant Growth Opportunity

Rapidly Changing Market Forces

Performance Challenges throughout the business

Technological Innovations


The IDEA Quadrant is an enterprise strategy execution tool for organizations to quickly grasp where transformation efforts are required and concentrated, allowing leaders and stakeholders to justify complementary strategies and business models to help safeguard competitiveness of the core business.

Leveraging human experience is one of the keys to transformation success. Another key is enterprise culture and commitment to continuous improvement. Enterprise Transformation require cultural and behavioral changes such as calculated risk taking, increased collaboration, innovation and customer centrality.

Humanomy IDEA Quadrant

The IDEA Quadrant provides tools, techniques and methodology for reinforcing new behaviors and ways of working through formal mechanisms, long proved as an action that supports organizational change. Continuously upgrading the human “hard wiring” with new ways of working, as well as implementing changes to the organization’s overall culture, transformation strategy execution become more concise and inventively tailored for success.

Humanomy IDEA Quadrant implements the PLANT (Perceive, Learn, Adapt, Naturalize, Transform) Strategy for Transformation.


Datarupt, an Enterprise Data Governance Framework is focused on empowering enterprises to deliver on strategic goals through Data Intelligence. Datarupt provides insights that transform the way data is managed and used across the organization, driving value creation.

Datarupt Framework
The Datarupt Framework


Datarupt Data Cycle


Enterprise Transformation is any fundamental or complex organizational change that impacts how its core business is conducted. It can be caused by internal or external forces, resulting in a shift of how the organization relates to its wider economic environment.

The initial point of transformation is a radical change in the economic or market context. This can lead either to an experienced or an expected value deficiency and thereby influence the speed of change. Externally influenced business model changes focuses on the features that impact revenue.

Intrinsic transformation is a fundamental change from within during which enterprises reinvent themselves. Internally influenced operating model change focuses on the features that impact the firm’s costs. The speed of change depends in most cases on whether the enterprise is forced to or changes proactively.

Enterprise Intelligence Cycle

Enterprise Intelligence Cycle is the fundamental cycle of information processing as a closed loop consisting of repeating nodes. The stages of the enterprise intelligence cycle include planning, collection, processing, analysis and publication of intelligence relating to economic, market, and operational context.

Enterprise Decision Cycle

Enterprise Decision Cycle is a sequence of steps used by an enterprise on a repeated basis to reach and implement decisions and to learn from the results. The MODAL (Measure, Orient, Decide, Act, Learn) framework implements a structured decision cycle across the enterprise ecosystem.

Enterprise Learning Cycle

The 7E Enterprise Learning Cycle was developed specifically for use in organizational learning. The 7E (Engage, Evaluate, Explain, Extend, Experiment, Experience, Enhance) goal is to improve leadership, capability building, empowering people, upgrading tools, and enhancing communications through continuous learning.

MOMENTUM FOR CHANGE - Enterprise Macro and Micro Cycles

Systematic planning for human experience optimization in alignment to enterprise transformation strategy using macro and micro cycles are essential for creating a momentum for change. Enterprises that are already on a path to improvement will find that changing direction to respond to disruptive forces will be met with less internal resistance largely due to the momentum that already exists within the organization.

Business units that has been going through a process of transformation with their staff members experiencing change as a matter of routine, structural pivots are then relatively straightforward to implement. When a company has been going through a change process over a period of time, then the communications channel should already be in place, additionally, the mindset of change is already present.

Gartner identifies the three forces — geopolitics, economics and the emergence of digital giants — as “turns” that create uncertainty and changes the dynamics of the status quo and forces a reaction. These forces are a shift from the normal course of momentum. The 2020 Gartner CIO Agenda survey showed that, on average 20% of organization’s products, services and revenue value proposition are digital. And 39% of their workplace, processes and supply chains have been made more effective with digital technology. To win in the turns, organizations must design a value proposition that drives the right mix of traditional and digital business with transformation efficacy.

To successfully navigate through these turns and excel in a digital society, the Humanomy Enterprise Equilibrium Point (HEEP) defines how digital an enterprise needs to be to compete or lead in a digital society.

Gartner predicts that by 2022, 40% of employees will consult an AI agent for decision support. Most environments, particularly complex, data rich ones, will require a partnership between humans and machines, with machines doing the heavy data processing work and people interpreting and reinforcing decisions.

Humanomy with human centrality becomes the fourth force to help organizations win in the turns, with accelerated enterprise transformation through the lens of revenue, cost, risk, market and human desirability.

“Perception is patterns of connectivity in context.”- Ramesh Periasamy



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