Natural Language Data Query & Reporting Solutions
Ask your business data plain questions and get answers in seconds.
Why this service
Business leaders ask "how did sales perform in Q3?" — and the answer takes an analyst a day. Natural-language query connects AI to your data products so answers come in seconds, from the right source.
What you concretely get
Every phase of the engagement produces a written or systemic deliverable. No slide-deck show, no promised "later".
Discovery report
Current state, bottlenecks, baseline metrics and a concrete proposed focus. 12–18 pages, written.
Architecture diagram
Technical design: model choices, data flow, integration points, security. Readable and reviewable.
Working production system
Deployed system in your environment — not a demo. Source code and configurations are handed over.
Runbook and documentation
User guide, maintenance procedures, failure-mode checklist, escalation paths. Finnish/English.
Adoption programme
User training per role, internal "AI champion" coaching, 30/60/90-day milestones.
Outcome reports
Monthly: where metrics have moved against the baseline, what adjustments come next month.
How we measure success
Metrics are agreed at discovery and the baseline is captured before implementation. These are the numbers we discuss at the 30/60/90-day check-ins.
- Self-service query share (%)
- Analyst time on ad-hoc questions
- Answer accuracy (sampled)
- Weekly query volume
- Spread of data culture across the org
- Business decisions backed by current data — count per week
Use cases
On-demand sales view
Which products grew most last month?
Customer analysis
Which customers are at churn risk?
Real-time operations
How are this week's shipments going?
Financial variance
What's driving the budget overrun?
HR query
Which roles are recruited most and at what conversion?
Product analytics
Which feature is used most since the last release?
Our delivery process
Discovery
We map the current state, processes and biggest productivity leaks.
Use case selection
We prioritise the highest-value, lowest-risk combinations.
Pilot
We build a working version in 4–6 weeks, with metrics.
Roll-out
We harden it for production and integrate the SaaS stack.
Training
Hands-on workshops and an internal champion for the team.
Optimisation
We measure, tune and scale — AI keeps living.
Technologies used
Frequently asked questions
A typical pilot completes in 4–6 weeks, with full production use in 2–3 months. We give a concrete timeline after the discovery call.
We design the architecture so your data stays under your control. We support self-hosted models and EU-region cloud, GDPR-aligned.
No. We build on top of your existing SaaS stack — we connect them, we don't replace them.
Adoption is part of every engagement. Without it, AI doesn't produce results — and that's already priced in.
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Learn more →Ready to get this in production?
We always start with a free 30-minute discovery call. No sales pressure.
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