Ask your data a question. Get an answer you can trust.
We add a natural-language layer on top of your governed data so business users can ask questions, get answers with context, and follow up — without waiting for a new report.
Question to insight
NaviCS- Business question“Why did Q3 sales dip in the north?”
- AIQueries governed data
- InsightAnswer, chart, explanation
- DecisionNext step agreed by the team
The challenge
Business problems we solve
Where organizations typically get stuck before engaging NaviCS for AI Analytics.
01
Report backlogs
Every new question becomes a request to the analytics team and a wait of days or weeks.
02
Dashboards without explanations
Charts show that a number moved, but not why or what to do about it.
03
Risky AI answers
Generic AI tools pointed at raw data can return confident but incorrect numbers.
What we do
AI Analytics capabilities
Scope we deliver end to end, or alongside your own team.
Natural-language questions
Business users ask questions in plain language and receive charts, tables and summaries.
Governed answers
Answers come from your semantic model and approved definitions, not ad-hoc queries.
Insight summaries
Automatic narratives explaining what changed, where and the likely drivers.
Anomaly alerts
Proactive notifications when key metrics move outside expected ranges.
Analytics agents
Agents that answer follow-up questions and can trigger next steps from an insight.
Use cases
Where it makes a difference
Concrete business applications we design and deliver.
Executive Q&A
Leaders ask about revenue, pipeline or cost and get an answer in seconds.
Sales performance questions
Managers explore performance by region, product or rep without building reports.
Operations exceptions
Get alerted when service levels or volumes deviate, with a summary of the cause.
Monthly commentary
Draft variance commentary automatically for analysts to review.
How we deliver
From Business Challenge to Business Outcome
How NaviCS takes AI Analytics from business challenge to business outcome.
Discover
Understand the business problem, the people involved, the data and systems in place, and what success looks like.
Design
Define the solution, architecture, data flows and guardrails — and agree on how results will be measured.
Build
Deliver in short, reviewable increments so stakeholders see working software early and often.
Integrate
Connect to your CRM, data platforms, APIs and business applications so the solution fits existing workflows.
Deploy
Release to production with monitoring, access controls, documentation and team enablement.
Improve
Review usage and outcomes, tune models and workflows, and extend what works to new teams.
Technology
Technologies we work with
We design around the platforms you already use wherever possible.
- AI/LLM platforms
- SQL / PostgreSQL
- Python
AI agent integration
Connected to how your business runs
The NaviCS Analytics Agent answers questions from governed data and can pass findings to other agents or workflows — for example, flagging at-risk accounts to the sales team.
See how NaviCS agents act across systemsReads context · follows your rules · takes approved actions · logs every step
Outcomes
What you can expect
The business results each engagement is designed around. Specific targets are agreed with you during discovery.
- Faster answers to everyday business questions
- Consistent numbers because answers use governed definitions
- Explanations alongside charts, not just charts
- Analysts freed to work on deeper questions
Case studies
Case study — coming soon
We are preparing published AI Analytics case studies. Ask us for a walkthrough of relevant work during your demo.
FAQ
AI Analytics questions, answered
How do you stop the AI from giving wrong numbers?
Questions are answered against a governed semantic model with defined measures, and answers show how they were calculated. We test against known questions before rollout.
Do we need a semantic model first?
A well-defined model is strongly recommended. If one does not exist, we build it as part of the engagement.
Who can see what data?
The AI layer respects existing security rules, including row-level security, so users only get answers from data they are permitted to see.
Does this replace our dashboards?
No. Dashboards remain the place for routine monitoring; AI analytics answers the follow-up questions they raise.
Related services
Often combined with
Data Analytics
Dashboards and reporting that give every team trusted numbers they can act on.
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