✦ Structured Training
Every engagement is delivered personally. No subcontracting. No frameworks applied off the shelf. Each engagement is scoped to your actual operational context, existing architecture, and business objectives.
From Practitioner
to Trusted Advisor.
AI consulting that gets it done.
Not just Advice.
30+
Years delivery
Shakthi / Training
Enterprise AI &
Technology
Solution Architecture
02
Enterprise Cohort
03
Practitioner Critique
04
✦ The Problem This Programme Solves
The gap is not knowledge.
It is judgement.
For Working Professionals
Domain knowledge for getting the job done
Most professionals entering AI and technology advisory roles arrive with domain knowledge but without the architectural depth that enterprise clients actually test for. Certifications teach tools. Courses cover concepts. Neither produces the pattern recognition that comes from working through real deployment decisions with real constraints.
The gap is not knowledge. It is judgement. Knowing what Kubernetes does is not the same as knowing when a client should not use it. Knowing that RAG exists is not the same as knowing when the retrieval layer will fail under production load and what to put in its place. This programme is built to close that gap.
For Enterprise Teams
Platform training teaches the tool, not the judgement
Organisations deploying AI internally face a capability problem that vendor training does not solve. Platform training teaches the tool. It does not teach how to evaluate whether the tool is the right answer, how to design for governance from the start, or how to identify the failure modes before they reach production.
Teams that go through this programme develop the ability to assess AI opportunities critically, scope automation with architectural discipline, and engage with external advisors and vendors from a position of informed authority rather than dependence.
30+
Years of enterprise delivery informing every scenario and critique
3
Programme tiers: individual foundation, advanced, and enterprise cohort
1:1
Direct practitioner feedback on every scenario assessment
✦ What Participants Become
Three capabilities.
One trusted advisor.
🏗️
Your Architectural Thinker
Able to evaluate technology choices against real constraints: integration complexity, governance requirements, cost at scale, and failure modes. Not just what a technology does, but whether it belongs in a given context.
🎯
Credible in Client Rooms
Capable of running discovery, asking the questions that surface the real problem, and presenting recommendations with enough technical specificity to withstand scrutiny from engineering leads and CTOs.
🛡️
Governance-Aware Practitioner
Understands what AI governance actually requires in enterprise environments: data residency, model accountability, audit trail design, human-in-the-loop architecture, and the regulatory exposure that gets ignored until it cannot be.
✦ Who This Programme Is For
Two tracks.
One standard.
Individual Professionals
Enterprise Teams
✦ Programme Tiers
Choose your starting point.
Progress at your own pace.
✦ Tier 1
8 weeks
Foundation: AI and Automation Readiness
For individuals and teams who need structured depth in AI adoption, automation assessment, and governance before moving into implementation or advisory work.
✦ What is included
- AI readiness assessment methodology: how to evaluate an organisation’s data, process, and governance maturity
- Automation opportunity identification: scoring frameworks, ROI estimation, and complexity mapping
- AI governance fundamentals: data residency, model accountability, audit trail design, and human-in-the-loop requirements
- Introduction to AI agent architecture: types, tool surfaces, failure modes, and escalation design
- Four structured scenario assessments with practitioner-level written critique on each submission
- Direct feedback sessions on scenario work with Shakthi Vadakkepat
Suitable as a standalone programme or as preparation for Tier 2.
✦ Tier 2
10 weeks
Advanced: Solution Architecture and AI Implementation
For professionals ready to develop full solution architecture capability: scoping engagements, designing systems, presenting to technical and executive audiences, and managing implementation from assessment through delivery.
✦ What is included
- Solution architecture methodology: requirements, constraints, component design, integration mapping, and documentation
- Technology stack evaluation: how to assess and justify stack decisions against client context and constraints
- AI agent deployment in depth: autonomous vs supervised vs hybrid architectures, latency and cost modelling, production failure analysis
- Client engagement skills: discovery call structure, stakeholder management, proposal writing, and technical presentation
- Token planning and AI cost architecture: consumption modelling, budget frameworks, and guardrail design
- Four advanced scenario assessments covering cross-domain architecture and implementation decisions
- Portfolio review: structured critique of participant’s own past or practice work by Shakthi Vadakkepat
Requires Tier 1 completion or demonstrated equivalent foundation.
✦ Tier 3
12-16 weeks
Enterprise Team Programme
A tailored cohort engagement for enterprise teams. Combines Tier 1 and Tier 2 content, adapted to the organisation’s specific technology environment, AI deployment context, and internal capability objectives.
✦ What is included
- Custom curriculum scoped to the organisation’s AI maturity, existing architecture, and target capability outcomes
- Scenario assessments built around the organisation’s actual industry, systems, and governance constraints
- Cohort delivery: structured group sessions combined with individual scenario assessment and feedback
- Governance and risk module adapted to the organisation’s regulatory environment
- Delivery flexibility: virtual, in-person (Bangalore), or hybrid based on team geography
- Post-programme advisory session with Shakthi Vadakkepat to consolidate learning and set internal capability roadmap
Scoped per organisation. Contact to discuss your team’s specific requirements.
✦ Curriculum Overview
What you work through.
Week by week.
| Week | Topic | What You Cover |
|---|---|---|
| 1 | AI Readiness Assessment | How to evaluate an organisation’s readiness for AI adoption across data maturity, process clarity, governance baseline, and integration capability. Structured scoring methodology introduced. |
| 2 | Automation Opportunity Mapping | Identifying which processes to automate, which to ignore, and which are traps. ROI estimation frameworks. Complexity and dependency mapping. Common mistakes in automation scoping. |
| 3 | AI Governance Fundamentals | Data residency requirements, model accountability frameworks, audit trail design, and human-in-the-loop architecture. Regulatory context for BFSI and healthcare environments introduced. |
| 4 | Scenario Assessment 1 | Logistics sector: scoping an AI chatbot deployment against a legacy TMS. Full written assessment submitted. Practitioner critique returned within five business days. |
| 5 | AI Agent Architecture Basics | Types of AI agents: autonomous, supervised, hybrid. Tool surface definition. Failure mode mapping. Escalation logic design. Latency and throughput considerations introduced. |
| 6 | Integration Architecture for AI | How AI components connect to existing systems. API design considerations, data pipeline dependencies, and the integration failure modes that kill deployments after go-live. |
| 7 | Scenario Assessment 2 | NBFC regulatory environment: loan automation within RBI constraints. Governance and compliance considerations tested. Full written assessment with practitioner critique. |
| 8 | Synthesis and Portfolio Preparation | Consolidating the framework. Preparing structured recommendations that hold up under technical and executive scrutiny. Portfolio structure and presentation standards. |
| Week | Topic | What You Cover |
|---|---|---|
| 1–2 | Solution Architecture Methodology | End-to-end architecture design process: discovery, requirements capture, constraint mapping, component design, integration architecture, and documentation to development-ready standard. |
| 3 | Technology Stack Evaluation | How to evaluate and justify technology choices against specific client context. Build vs buy decisions. Vendor assessment frameworks. Stack recommendations that survive engineering scrutiny. |
| 4 | Advanced AI Agent Design | Production-grade agent architecture: tool surface design, memory and context management, multi-agent orchestration, cost-per-transaction modelling, and failure recovery design. |
| 5 | Scenario Assessment 3 | Hospital EMR with AI clinical decision support: architecture, governance, and integration design under healthcare data constraints. Full written assessment with practitioner critique. |
| 6 | Client Engagement and Proposal Writing | Discovery call structure. Stakeholder mapping. Proposal architecture. Scope definition that protects both parties. Presenting technical recommendations to mixed executive and engineering audiences. |
| 7 | Token Planning and AI Cost Architecture | Token consumption modelling by use case and model tier. Burst vs steady-state cost analysis. Budget framework design. Guardrail architecture at application and organisational level. |
| 8 | Scenario Assessment 4 | Commercial scoping under fixed budget constraints: architecture, trade-off analysis, and phased delivery planning. Full written assessment with practitioner critique. |
| 9–10 | Portfolio Review and Synthesis | Structured critique of participant portfolio by Shakthi Vadakkepat. Presentation skills. Positioning as a trusted advisor. Next steps for independent practice or internal capability leadership. |
✦ How the Programme Works
Simple. Transparent.
No surprises.
01
You Enquire
Send a brief description of your current role, what you are trying to develop, and which tier you are considering. No formal application. No lengthy form.
02
Discovery Call
A 30-minute call with Shakthi Vadakkepat to confirm the right tier, discuss your context, and answer any questions about programme structure, assessment format, and expected time commitment.
03
Payment and Enrolment
100% upfront payment per tier before commencement. A Statement of Work is issued confirming the tier, timeline, and deliverables. Work begins within five business days of confirmed payment.
04
Structured Learning and Scenario Work
You work through the curriculum at the agreed pace. Scenario assessments are submitted at the milestones defined in your Statement of Work. Feedback is returned within five business days of each submission.
05
Critique and Iteration
Each scenario assessment receives practitioner-level written critique: specific, direct, and grounded in real deployment standards. There is no generic rubric. The feedback is the programme.
06
Structured Learning and Scenario Work
On completion of all assessments, a summary evaluation is provided. For Tier 2 completions, a portfolio review session is included. For Enterprise programmes, a post-programme advisory session is scheduled.
✦ What Makes This Different
Practitioner standards.
Not course completion metrics.
This Programme
Typical Training Programmes
✦ Ready to Begin?
Build the depth your
clients will test for.
One conversation is enough to establish whether this programme is the right fit for where you are and where you are going.