- A working Enterprise AI Workforce: A running multi-agent n8n workflow built, tested, broken, fixed and demonstrated live.
- A governance documentation suite: Behavioral Brief, Autonomy Map, failure scenarios, monitoring signals and ownership structure.
- A business case ready to present: ROI estimate, economics rationale, resistance map and tested pitch.
- A common language with technology teams: Supervisor-Worker patterns, HITL, orchestration and runtime intelligence.
- A 90-Day Action Plan: Five commitments and a named accountability partner.
- Confidence to lead: Capability grounded in the experience of building and governing a real enterprise AI system.
Agentic AI Workshop
Design, Build and Govern Enterprise AI Workforces
- Decision-First Design
- Build What You Lead
- Governed at the Core
Trusted by 20,000+ companies like
Programme Overview
The SAIL Framework for Enterprise AI Transformation is built for organisations that choose to navigate the AI era with leadership capability, not just technology.
Leaders know AI is transforming business. Most do not know how to lead that transformation. Organisations are deploying AI tools while leaders often lack the frameworks to govern, design or scale them. The gap between “we use AI” and “we lead AI transformation” is widening rapidly.
What makes this programme radically different
- Decision-first, not tool-first: Identify where enterprise AI creates genuine value before touching a tool.
- Build and lead in the same room: Design, build and govern a working multi-agent AI Workforce using free, no-code tools.
- A working system on Day 3: Demo a live Enterprise AI Workforce—not a slide deck or design document.
- Technical skill meets executive education: Gain hands-on capability alongside governance and leadership frameworks.
Participants leave able to design, build, govern and lead Enterprise AI Workforces as a demonstrated capability. They can evaluate AI proposals, speak the same language as technology teams, and take forward a 90-Day Action Plan grounded in a real process.
Key Features
Build a Working, Governed Enterprise AI Workforce in Three Days
Three days of live, instructor-led learning
No-code build using n8n and Claude or ChatGPT
Decision Density and Decision Stream frameworks
Working multi-agent system demonstrated on Day 3
Behavioral Brief and Autonomy Map
HITL escalation and monitoring architecture
Enterprise AI economics and adoption strategy
90-Day Action Plan with accountability
By Day 3, You'll Be Able To
Design, build, govern and lead a working Enterprise AI Workforce.
Map Your Business as a Decision Stream
Apply Decision Density Analysis
Design Your Autonomy Map
Write a Behavioral Brief
Build Multi-Agent Workflows
Configure HITL Architecture
Identify Failure Scenarios
Present Enterprise AI Capability
Programme Structure
Three Days. One Coherent Transformation Journey.
Day 1 — Identify: Select a process, build Decision and Autonomy Maps, identify Agent 1, assess readiness, and set up n8n.
Day 2 — Design + Build: Write a Behavioral Brief, build two AI agents, configure HITL, test failure scenarios, and define monitoring signals.
Day 3 — Scale + Present: Complete a 3–5 agent AI Workforce, build the business case, map adoption resistance, and present a live demo plus 90-Day Action Plan.
What We Cover in Depth
- •Decision Systems & Enterprise AI Fundamentals
- •Decision Density Framework
- •Value Stream to Decision Stream
- •Autonomy & Control Design
- •Runtime Intelligence
- •Behavioral Briefs & Governance
- •Multi-Agent Orchestration
- •HITL Architecture
- •Building in n8n
- •Hallucination Prevention & Testing
- •Enterprise Readiness Assessment
- •AI Economics & Business Case
- •Adoption Strategy & Resistance Mapping
- •Operating Model & Deployment
- •Value Measurement & 90-Day Action Plan
Prerequisites & Eligibility
No formal technical background is required. No coding knowledge or prior AI experience is necessary.
- Business experience and responsibility for business outcomes
- Attendance across all three days
- 20 minutes of guided pre-work to set up n8n and Claude or ChatGPT
The programme is designed for decision-makers and leaders, not only technical specialists.
Programme Format
- Duration: 3 days, full-time
- Location: Instructor-led, in-person workshop
- Group size: 12–20 participants
- Facilitation: Experienced business leaders and transformation consultants
- Materials: Workbooks, frameworks, templates and implementation tools
- Technology: n8n plus Claude or ChatGPT; free tiers are sufficient
- Post-workshop: Access to resources and community support
Schedules for Agentic AI Workshop
Morning
Oct 29 -
Oct 31,
PST |
07:30 PM -
04:30 AM |
3 Days
offline
Ajit Singh
(AI Capability Expert)
WHO SHOULD ATTEND
Who This Programme Is For
This programme is designed for leaders responsible for funding, governing, designing or scaling enterprise AI:
- Chief Executive Officers, Managing Directors and Presidents
- Chief Operating, Financial, Technology and HR Officers
- Vice Presidents, Senior Directors and General Managers
- Digital Transformation, AI Strategy and CoE Leaders
- Business Unit Heads and Functional Leaders
- Senior Managers responsible for processes and teams
Technology backgrounds: CTOs, IT Directors, Solutions Architects, Data Scientists and Technology Managers who need business-design and governance frameworks.
Non-technology backgrounds: Operations, Finance, HR, Marketing, Risk, Compliance and Business leaders who must fund, govern and scale AI Workforces.
What Every Participant Leaves With
Working capability, governance and a 90-day plan
Our Learners Love Us
Ravikumar BK
Lead
Really good session. Particular project how we can break in small task and achieve good results.. new learning for me. In normal game push and pull ex...
Vikram Sharma
Business Lead
The objective of the workshop “Business Agility Leadership Connect 2023” was achieved to a very high degree. Each detail of the program was worked out...
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Sudhakar Tallapaneni
Technical Program Manager
RTE training was fantastic by Mr. Anand Murthy. Full 3 days was very engaging and informative with clear concepts and examples and breakout sessions....
Shikha Kathuria
Coach
The training was full of practical examples which makes us easy to get through toughest of the topics and remember the concept. Very well explained an...
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Sai Mallikarjuna Sagabala
Portfolio & Program Manager
One of the best SAFe SPC Training course for 4 days with a Real time examples and scenarios for the SAFe SPC training. Thanks to Anand and Vaibhav for...
Sabrina Samuels
Scaled Agile Practitioner
I just completed a brilliant SAFe SPC training course conducted by Anand and Vaibhav over the last four days. Despite the challenge of waking up super...
Ravi G
RTE
I attended the 3-day Release Train Engineer (RTE) course at Gladwell Academy, and it was an exceptional experience. Mr. Ananda Murthy Raj was an outst...
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Pooja Bhattacharyya
Technical Program Manager
I have attended spc certification class from gladwell. This was the best SAFe training I ever had. I had done SAFe certification earlier as well but n...
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Kumaran K R
Product Manager
Attended Implementing SAFe training by Anand Murthy and Vaibhav and it was one of the best training I underwent. Such a complex training presented so...
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Vishal Vasan
Manager Digital Transformation
I joined online SAFe SPC training program from Gladwell Academy India. The trainers Anand Murthy and Rahul Gujar were not only knowledgeable but they...
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Arun Kumar paspuleti Narasimhulu
Agile Coach
I have had very good experience with Anand Murthy Raj and his entire team at Gladwell. My SAFe journey has been wonderful. When I look back it almost...
Hemant Kumar
Agile Coach
Gladwell Academy blew my mind with their depth of knowledge and great real-world examples of how to implement SAFe effectively. I am so glad that I ha...
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Jegan Kunniya
Senior Software Architect
This was great. I was of the impression that it is yet another Agile session/workshop with pokers and stuff. But what was on offer was exceptional whi...
Vikas Magdum
Manager
I had Agile Manufacturing/ Agile Factory training with them. Mr. Anand was very knowledgeable, the session was very interactive and fun activities pla...
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Preeti Jadhav
Fidelity
The AINF training was fantastic. Clear concepts, experienced trainer, and very practical. It gave me a solid foundation to start building AI-native pr...
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Srinivasan Sankar
Australian Citizen | Fractional CDO · CDAO & Data Advisory
Thank you, Anand Murthy Raj Attending your very first AI-Native Foundations session in India back in November was a turning point for me — and the AI...
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Ambarish Purohit
Enterprise Experience Architect
It was a great session on AI Native Capability Building with Anand Murthy Raj. I thoroughly enjoyed being part of the workshop and learning throughout...
Frequently Asked Questions
Is This Technical Training?
No—and yes. It's business training delivered through hands-on technical work. You don't learn programming or data science. You learn to design, govern, and present enterprise AI systems using n8n, a visual no-code platform. The technical work is the vehicle for building leadership capability.
We've Never Done This Before. Will This Work for Us?
Precisely why this programme exists. The Decision Density framework works for first-time opportunities and the tenth replication. Organisations at every maturity level—from piloting their first AI use case to scaling enterprise platforms—benefit from this approach. Day 1's Enterprise Readiness assessment identifies gaps. Days 2–3 give you tools to address them.
Can We Apply This to Our Specific Process?
Yes. Organisations can run open cohorts that are mixed-industry and cross-functional, or dedicated cohorts focused on specific business processes. In a dedicated cohort, your organisation's actual process becomes the case study. You build an AI Workforce for a real opportunity, present it to your own leadership, and take the artefacts directly into your implementation roadmap.
What If Readiness Assessment Surfaces Problems?
Better to solve them now than after a $2M pilot fails. Enterprise Readiness covers six dimensions: decision consistency, data availability, business impact, adoption readiness, governance maturity, and organisational resistance. Day 1 surfaces the gaps; Days 2–3 include tools for addressing each one. You leave with both a system and a readiness action plan.
How Do We Actually Scale This Across the Organisation?
Three ways. First, your Day 3 cohort becomes your internal change agents. Second, the Reusable Capabilities Scan helps identify and prioritise the next opportunities. Third, the operating model scales from one AI Workforce to enterprise platforms with shared governance, knowledge assets and infrastructure.
What If Our Technology Team Has Already Built AI Systems?
Your technology team becomes more valuable. Technical participants discover the governance, business-design and leadership frameworks they have been missing. They learn to design systems that organisations can adopt and scale—not just build—and gain the language to communicate AI capability to leadership.
Is There a Virtual Option?
This programme is designed for in-person delivery. The capstone presentations, peer challenge and cohort dynamics are central to the learning experience. Alternatives can be discussed for specific situations, but remote delivery can compromise the collaborative intensity behind the AHA and WOW moments.
How Do We Know This Will Actually Deliver ROI?
Three metrics. First, confidence: 95%+ of participants leave with genuine confidence in their ability to lead AI initiatives. Second, speed: organisations typically reduce AI project timelines by 40–60% because leadership understands what is needed. Third, risk reduction: scoping and governance gaps that might have cost $2–5M in failed pilots are prevented during the programme itself. The programme pays for itself when one major initiative is better scoped.
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