AI Analytics

Ask your data a question, get a governed answer

Plain-English questions, answered from one governed set of definitions — with the working shown, not just the number. The conversation below is an illustration of the product; the case study holds the real results.

Nerve AIDemo data
What were our net sales last month?
DM
Net sales last month were KES 101.2M, up 9.4% versus the same month last year.
How I got thisSummed net sale revenue across all visits in the selected month, compared against the same calendar month last year.
RegionNet Sales
CentralKES 42.1M
WesternKES 31.7M
RiftKES 27.4M
2.8s$0.0121,204 in / 356 out tokens
Top 5 regions by net sales this quarterWhich reps improved the most vs last year?Show returns trend over the last 90 days

Governed & Safe

Answers you can trust, by design

Every question is answered from the same governed metric definitions used across the dashboard — never a one-off calculation. Access is granted per user, spend is capped, and anything that looks like a write operation is blocked before it runs.

  • Per-user access control, not an all-or-nothing switch
  • Monthly spend budget enforced automatically
  • Write-shaped queries blocked by a safety check, every time
Nerve AI — SettingsDemo data

Per-user access

A. Njeri

Regional Manager

Access on

D. Mutua

Field Rep

Access off

P. Otieno

Ops Lead

Access on
Monthly budget$42.80 / $75.00
Blocked “Delete last month's returns” — write-shaped query rejected by the safety check.

Proactive Alerts

Told about problems, not left to find them

Alerts are ranked by business impact and cleared automatically once they're no longer relevant, so the list in front of a manager is always the handful that matters — not everything that could theoretically be flagged.

  • Ranked by impact, not raised in the order they occur
  • Stale alerts resolve themselves once conditions change
  • One consistent feed across regions and teams
Nerve AI — AlertsDemo data

Coast region strike rate down 11 points

Three reps trending below plan for two consecutive weeks

High

Highland Dairy 1L coverage gap widening

Numeric distribution dropped in 4 territories this month

Medium

Rift region returns ticking up

Within normal range, flagged for awareness only

Low

Nairobi outlet lapsing risk

No visit recorded in 18 days

Auto-resolved

Predictive Insights

Recommendations, not just dashboards

Beyond reporting what happened, the same models surface what's likely to happen next — demand shifts, at-risk territories, recommended stock reallocation — each with a confidence score attached.

  • Recommendations generated from predictive analytics
  • Every insight carries a confidence score
  • Grounded in the same governed data as the rest of the product

AI Recommendation

Generated from predictive analytics

Central Region sales increased 14%

Based on recent demand patterns, increasing inventory allocation to Kiambu and Nyeri is likely to improve service levels and reduce stock-outs.

Confidence Score
96%

Beyond the illustration

See it applied to a real engagement

Everything above is a live illustration of the capability. The case studies document what it delivered for a real client — with the real numbers.

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