Every CEO in India right now wants an "AI Strategy." They see competitors issuing press releases about Generative AI, and they tell their CTO to "implement ChatGPT."
The reality? Most mid-market Indian businesses don't need a Large Language Model. They need clean Excel sheets.
You cannot run predictive AI on a customer experience pipeline where half the leads are tracked in a CRM, 30% are in WhatsApp chats, and 20% are in a salesperson's notebook.
What "AI Readiness" Actually Means
Bringing in an Emerging Tech & AI consultant is not about writing prompt libraries. A credible consultant will run a 90-day readiness sprint that focuses entirely on plumbing, not magic.
1. Data Centralization: They will consolidate your siloed data lakes into a single, structured schema. AI cannot learn from unstructured chaos.
2. Workflow Definition: AI automates processes. If your processes are heavily dependent on "Ramesh from Accounts just knowing what to do," you don't have a process. You have a dependency. Consultants map workflows so they can be abstracted.
3. Narrow Use-Case Selection: A bad AI project tries to "revolutionize the business." A good AI project picks one highly specific, high-volume, low-complexity task,like automating Level 1 customer support ticketing,and proves ROI in 8 weeks.
The Danger of AI Tourism
If you just buy an off-the-shelf enterprise AI wrapper without fixing your underlying data architecture, you are engaging in AI tourism. You get a nice dashboard, but your operational efficiency doesn't move an inch.
Before you buy the software, fix the plumbing.
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