A one-month pilot across two solar installation companies in Ibadan, Nigeria. Thirty real WhatsApp inquiries. One structured qualification system. 70% of engineering time recovered.
Solar installation companies in Nigeria operate in a high-volume inquiry environment. Leads arrive constantly — primarily through WhatsApp — and without any structured process to separate serious buyers from early researchers. The default response in most companies is the same regardless of the inquiry: forward it to an engineer.
AIsthet Systems identified this as a structural problem, not a people problem. When every inquiry reaches a technical team member, the cost is invisible but compounding — engineers spend hours in conversations that will never convert, while high-value leads experience delays because the pipeline has no filter.
To measure this problem with real data, AIsthet conducted a one-month pilot engagement with two solar installation companies in Ibadan, Nigeria. Thirty real WhatsApp inquiries — drawn from the combined inquiry volume of both companies and selected to represent the range of inquiry types each company regularly receives — were processed through the SolarGate Qualification System. All identifying information was removed by mutual agreement.
SolarGate is a behavioral lead qualification system designed for solar installation companies in Nigeria. Every incoming WhatsApp inquiry passes through a structured qualification interface — designed to feel like a natural conversation — before any human on the company's team is involved.
The goal is not to discard leads. It is to ensure every lead receives the right response at the right stage, and that engineering time is protected for conversations with a genuine path to conversion.
Of the 30 inquiries processed, 8 were qualified for direct engineer engagement. 15 were routed to a structured sales follow-up. 7 were classified as early-stage researchers and routed to an educational sequence. The critical finding: without a qualification system, all 30 would have reached an engineer. Only 9 of those 30 warranted that engagement.
The business impact extends beyond engineering hours. When inquiry volume is filtered before it reaches the team, three operational outcomes move in the same direction at the same time.
| Metric | Without SolarGate | With SolarGate | Improvement |
|---|---|---|---|
| Inquiries reaching engineer | 30 | 9 | −21 fewer |
| Non-converting engineer conversations | 21 | 0 | −21 eliminated |
| Engineer time allocation efficiency | 30% | 100% | +70 percentage points |
| Follow-up leads with structured guidance brief | 0 | 15 | +15 structured |
| Unqualified leads routed to education queue | 0 (all treated equally) | 7 | Correctly routed |
The 92-scoring lead's path through the system, described at the level of what the business sees, not what the model sees. Five stages, no human in the loop until the brief reaches the engineer.
The complete classification breakdown for all 30 inquiries processed during the pilot. Tap any card to see the reasoning behind the routing decision.
Any business that handles high volumes of inbound inquiries faces the same structural inefficiency: leads of dramatically different readiness arriving through the same channel and receiving the same response.
Volume without qualification is not growth. It is noise. The cost of that noise is not always visible on a balance sheet, but it accumulates in engineering hours, delayed responses to serious buyers, and the slow erosion of team capacity.
SolarGate was the first deployment of AIsthet Systems' qualification infrastructure. The same logic — structured intake, behavioral scoring, tiered routing — is now being developed for other high-inbound business categories. If your business is managing inquiry volume without a qualification layer, the inefficiency identified in this pilot is almost certainly present in your operation too.
SolarGate is one deployment of AIsthet's qualification infrastructure. If your business handles high-volume inbound inquiries without a qualification layer, the inefficiency identified in this pilot is almost certainly present in your operation too.
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