AI Analytics Services
With AI analytics services, your managers can ask "why did repeat orders fall in Pune last month?" and get an answer drawn from your actual data. We set up the data layer first, because an AI model reading messy tables gives confident wrong answers.
How we approach AI analytics services
Most companies asking for AI analytics have data spread across a CRM, an ERP, Google Analytics and a few spreadsheets, with different definitions of "customer" and "revenue" in each. Putting a chat interface over that produces numbers nobody trusts. The other common mistake is buying a forecasting tool before anyone has agreed which decisions the forecast should inform.
Step one is listing the ten or so questions leadership asks every month and tracing where each answer lives. Then we build a warehouse or semantic layer with agreed metric definitions, and add AI on top: natural language querying, anomaly detection on key metrics, and demand or churn forecasts where you have enough history. Each answer shows the query behind it so an analyst can verify it.
This suits teams that already report regularly but spend days pulling numbers. If you have under a year of clean data, we will usually suggest fixing tracking first.
- Use cases ranked by value, not hype
- Working pilots in weeks
- Accuracy testing and human review built in
Working with Nians
One strategist owns your plan and brings in the specialists it needs. You hear from us every week, and every piece of work starts with an audit.
What our AI Analytics Services include
The usual building blocks. We drop what you don’t need and add what you do.
Use-case discovery
Where AI saves the most time or earns the most revenue.
Data & readiness check
What data, systems and policies need to be in place.
Prototype & agent build
Working pilots in weeks, not quarters.
System integration
Connected to your CRM, ERP, helpdesk and knowledge base.
Guardrails & evaluation
Accuracy testing, human review and safe failure modes.
Training & handover
Your team runs it confidently after launch.
How we deliver
You see the plan before any work starts.
Find the use case
We look for work that is repetitive, rule-based and worth automating.
Check the data
What data the model will use, where it lives and who can see it.
Prototype
A working pilot your team can try within weeks.
Integrate
Connected to your CRM, helpdesk or internal tools, with guardrails.
Monitor
Accuracy, cost and adoption tracked, and the system improved over time.
You may also be interested in
Solutions this service is part of
Problems it helps solve
Who usually asks for it
Case studies & resources
Real-world results and practical reading to help you plan your next step.
Client stories
How similar work has played out for other businesses.
Helpful resources
Guides, tools and articles our team recommends on this topic.
Questions we often hear
Straight answers to the things clients ask us most. If yours isn’t here, just ask.
Do we need a data warehouse before using AI analytics?
Can AI analytics replace our data analyst?
Is our data safe when we use AI?
Let’s plan your next stage of growth.
A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.