✦ Structured Training

From Practitioner

to Trusted Advisor.

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.

AI consulting that gets it done.
Not just Advice.

✦ 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

  • Lead engineers or senior developers moving into solution architecture or advisory roles

  • Technology consultants who need structured depth in AI and automation to serve enterprise clients credibly

  • Business analysts or project leads with domain expertise who want to develop technical architecture fluency

  • Independent practitioners building a consulting practice around AI and automation advisory

Enterprise Teams

  • Technology teams being upskilled to evaluate and govern AI adoption internally

  • AI project leads who need architectural depth beyond what vendor training provides

  • Innovation or digital transformation teams tasked with building AI capability without external dependency

  • Internal consultants or centres of excellence responsible for AI advisory within large organisations

✦ 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.

Enquire about this programme →

✦ 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.

Enquire about this programme →

✦ 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.

Enquire about this programme →

✦ 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.

✦ 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

Programme Completion

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

Scenarios built from real enterprise deployment contexts
Critique from a practitioner with thirty years of delivery experience
Governance and risk treated as foundational, not optional
Direct access to the person delivering the feedback
Assessment standards match what enterprise clients actually test for
No credential that substitutes for demonstrable judgement
Generic case studies not tied to real constraints
Feedback from assessors grading against a rubric
Governance mentioned in a module, not embedded throughout
Automated scoring or outsourced marking
Assessment standards match course completion metrics
Credential issued on course completion regardless of quality

✦  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.

Enquire About the Programme
Enquire About the Programme