Consulting

What we offer

Change is hard but it is the only constant in the evolving landscape of exponential technologies such as AI, blockchain, metaverse, among others.

But what if we made the process of transformation fun, engaging and rewarding?

What if there was a way to playfully break silos, shift mindset and foster a culture of innovation, agility and collaboration?

We offer the following new age consulting services:

Digital/AI Transformation & Strategy (sample roadmap )
Design Thinking Capability Building
Building AI-Future Ready Leadership
Organization Capability Building (based on MIT's Enterprise AI Maturity Model)
Innovation Culture Building
Growth Mindset & Resilience
Empathetic Leadership
Strategic Agility
Strategic Foresight
Disruptive Thinking

We cover the following domain areas:

Leadership Training and Development
Employee Experience
Media & Communications
Omnichannel Marketing
Customer Experience
Sales and Customer Success
New business models
Business Operations
Applications of new and emerging technologies

We set up end-to-end Transformation and Innovation programs with the necessary 21st century skills, processes and technologies with “design thinking coupled with systems thinking at the core of change”.

Along with immersive workshops and on-going consulting services (in person and remote), we also provide exposure and integration with new age start-ups for applied innovation benefits

You talk. We listen mindfully.

We love challenges. And we'd love to know what's keeping you awake at night. So drop us a note and let us help you.

Agentic AI Transformation Roadmap (sample)

This 12-month roadmap transitions your organization from "AI-curious" to "AI-native," moving through cultural preparation, process redesign and scaled governance.

Phase 1: Foundation & Alignment (Months 1–3)

Focus: Preparing the "soil" for AI to take root.

Cultural Readiness: Run ADKAR assessments to gauge employee sentiment. Launch a "Growth Mindset" campaign to reframe AI as a partner, not a replacement.
Stakeholder Mapping: Use Mendelow’s Matrix to identify internal champions and potential blockers. Establish a RACI chart for the project steering committee.
Initial Discovery: Apply First Principles Thinking to one core business problem to identify where an agent could provide the most radical value.

Phase 2: Process Reinvention (Months 4–6)

Focus: Mapping the "as-is" and designing the "to-be."

Workflow Audits: Use SIPOC and Value Stream Mapping to document high-friction processes. Identify "monotonous tasks" ripe for agentic automation.
Design Sprints: Run Design Thinking workshops to prototype the new user/employee experience. Don't just automate the old way; build a new, AI-first path.
Governance Setup: Draft the initial Responsible AI guidelines using the NIST AI Risk Management Framework (RMF).

Phase 3: Pilot & Capability Building (Months 7–9)

Focus: Small-scale deployment and rapid upskilling.

The Pilot: Deploy the first AI agents in a controlled environment. Implement Human-in-the-loop (HITL) protocols to ensure human oversight of AI decisions.
Upskilling: Roll out the 70-20-10 Learning Model. Host "AI Office Hours" (the 20%) and provide sandbox environments for hands-on practice (the 70%).
Early Evaluation: Set the first OKRs (Objectives and Key Results) for the pilot to measure speed, accuracy, and employee sentiment.

Phase 4: Scaling & Optimization (Months 10–12)

Focus: Full integration and long-term sustainability.

Full Rollout: Expand AI agents across the mapped value streams.
Performance Tracking: Transition from simple OKRs to a Balanced Scorecard. Measure the financial impact, customer satisfaction, and internal process efficiency.
Continuous Improvement: Use the feedback loops established in Phase 1 to refine agent behavior. Update the NIST RMF documentation based on real-world edge cases encountered during the year.

humAIn-centric Transformation Consulting