The fastest AI projects we run have one thing in common: the client did a little homework before the build started. The slowest ones almost always stall in the same place - waiting on data that nobody could find, or access that nobody was authorised to grant. None of it is hard. It just needs to happen before, not during, development.
Here is the readiness checklist we walk through with clients at Shanti Infosoft before we write a line of code.
- Know where your data actually lives
An AI feature is only as good as the data behind it. Before you build, locate the data the solution needs: which system holds it, what format it is in, and how far back it goes. "It is in the CRM somewhere" is not an answer that lets a project start. A clear inventory - even a rough one - saves days.
- Gather a representative sample, including the messy cases
We do not need all your data to start, but we do need a sample that looks like reality. That means including the awkward records: the half-filled forms, the unusual tickets, the documents in odd formats. A model that only ever sees clean examples will fall over on the first real one. The messy cases are the most useful thing you can hand us.
- Sort out access and permissions in advance
This is the single most common cause of delay. If the solution needs to read from your database, send email, or post into a tool, someone has to grant that access - and in many organisations that takes approvals. Identify who owns each system early and start those conversations before the build, not on day three when development is blocked.
- Decide who owns the decision
Every project hits moments that need a yes or no: which option to take, what is good enough to ship, whether a trade-off is acceptable. Decide up front who that person is. Projects with one empowered decision-maker move quickly; projects where every choice goes to a committee crawl.
- Be clear about sensitive data
If your data includes personal information, health records, financial details, or anything regulated, say so at the start. It shapes how we design, store, and handle everything - and it is far easier to build the right safeguards in from the beginning than to retrofit them later. There are no awkward surprises if the rules are on the table from day one.
- Define what success looks like
Agree, in advance, how you will judge whether the finished feature is working. A target accuracy, a time saved, a reduction in manual steps - something concrete. Without it, "is this good enough" becomes an endless, subjective debate. With it, you have a clear finish line.
- Line up the people who know the work
The best AI features are shaped by the people who do the job today. Identify the one or two team members who understand the workflow inside out and can spare a little time to answer questions and review early output. Their knowledge is worth more than any amount of guesswork.
The payoff
None of this is glamorous, but it is the difference between a project that starts moving in week one and one that spends a month waiting. Walk through this list before you engage anyone, and you will get more value from every hour of development that follows.
Working through this and not sure how your project measures up? Send us where you are and we will help you fill the gaps before the build begins.
About Shanti Infosoft
Shanti Infosoft is a CMMI Level 5 AI development company that has delivered 700+ projects across 16+ industries. We help teams move from AI ideas to dependable, production-grade software. Learn more at https://www.shantiinfosoft.com or explore our AI consulting services (https://www.shantiinfosoft.com/services/ai-consulting/).
Related reading: The 5 Things AI Projects That Don't Get Cancelled Do Differently (https://www.shantiinfosoft.com/blog/5-things-ai-projects-that-dont-get-cancelled-do/) - Custom AI Development: How ML Is Transforming Business Software (https://www.shantiinfosoft.com/blog/custom-ai-development/)
Written by Team Shanti Infosoft, the AI development team at Shanti Infosoft (https://in.linkedin.com/company/shantiinfosoft).
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