AI Implementation Playbook
Why Most AI Projects Fail in Businesses
A founder-to-founder breakdown of why AI initiatives stall — and the playbook that ships them. Built from real engagements where AI either failed or shipped.
- Duration
- 2.5 hours
- Mode
- Live online
- Audience
- Founders · CXOs · Product leaders
- Schedule
- Quarterly cohorts · next announced on newsletter
01 · What you'll learn
Concrete outcomes by the end
- The five reasons AI projects stall — and how to spot them before kickoff
- A framework for sequencing AI bets across a 6-month roadmap
- How to make the build-vs-buy call on agents, RAG, and integrations
- What governance you actually need (and what's theatre)
- How to keep finance, ops, and engineering aligned through the rollout
02 · Agenda
What we cover
Why projects fail
Module 1The five recurring failure modes — wrong scope, missing data, weak ownership, hallucination tolerance, hidden cost.
The playbook
Module 2A step-by-step rollout pattern that has shipped for real businesses.
Roadmap workshop
Module 3Sequence three AI bets across a 6-month plan with concrete owners and KPIs.
Governance
Module 4What you must monitor (cost, drift, latency, escalation), and what you can safely skip.
03 · Who should attend
The right audience
04 · Prerequisites
Come prepared
- You own or influence an AI initiative
- Comfortable reading a roadmap and basic unit economics
05 · Speaker
Hosted by
Pankaj Kharkwal
Founder, Pankh AI
Pankaj builds production AI systems for businesses and runs Pankh AI. He has shipped agents, RAG pipelines, and observability stacks for companies that needed AI to actually work — not just demo.
06 · Outcomes
Why people attend
After this workshop you leave with a concrete artefact you built live and a playbook you can use the next week. Cohort chat stays open so you can ask follow-up questions while you ship.
07 · FAQ
Common questions
Is there code in this workshop?+
Very little. The focus is on shipping, sequencing, and governance. Engineering teams should attend AI Agents in Production for the technical depth.
Do you cover specific vendors?+
Yes, but vendor-neutral. We compare Azure OpenAI, OpenAI direct, Anthropic, and self-hosted options for each pattern.
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