Truvyo deploys against the same architecture across every vertical. What changes is the audience, the SKU catalog, and which agent (Customer or Technical Companion) carries the workload.
Drawn from real production deployments. Scale linearly with catalog size.
| Dimension | Hardware reseller | Field service network | Dev platform |
|---|---|---|---|
| Primary agent | Customer Agent | Technical Companion | Customer Agent |
| Catalog size | 16–200 SKUs | 5–50 product lines | 1 product, deep API surface |
| Tenant articles | 200–800 | 500–2,000 | 300–600 |
| Shared Library leverage | High (vendor PDFs) | High (manufacturer SOPs) | Medium |
| First-response time | 1.4 s | 1.8 s | 1.2 s |
| Tier 0/1 deflection | ~80% | ~75% | ~70% |
| Plan fit | Growth or Scale | Growth or Scale | Starter or Growth |
Multi-SKU distributors of equipment someone else built. Manufacturer documentation already exists; customers can't find it.
| Before Truvyo | After Truvyo |
|---|---|
| Support tech triages every ticket. 12-hour first-response on simple questions. | Customer Agent answers in 1.4 s with citations. Techs only see escalations. |
| "Did you try a factory reset?" answered manually 40 times a week. | Customer sees the reset procedure cited to the install-guide page before they open a ticket. |
| Vendor PDFs sit in a folder no customer reads. | PDFs ingested into the Shared Library. Agent cites the page number on every answer. |
| No metric for which knowledge actually helped. | Per-message feedback + nightly aggregation. Bad articles auto-bench. Gaps queue for the next research run. |
Installer-heavy operations where Tier 1 is internal: field techs phoning HQ for specs and configurations.
| Before Truvyo | After Truvyo |
|---|---|
| Field tech hits an unfamiliar config; calls senior engineer. 15–25 minute interruption per call. | Technical Companion on phone answers with citation to the manufacturer spec sheet. |
| Tribal knowledge in Slack threads. New techs ask the same questions every quarter. | Same field knowledge served to every tech, immediately, with sources. |
| Customer waits for callback while tech researches. | Job completes on first visit. Callback rate drops. |
| Onboarding new installers takes weeks of shadowing. | Companion serves as institutional memory. Onboarding compresses to days. |
B2B SaaS with extensive API docs that customers do not read. Technical audience tolerates AI support better than any other buyer because they verify citations.
| Before Truvyo | After Truvyo |
|---|---|
| "Where do I find X in the docs?" tickets dominate the queue. | Agent returns the doc section with citation. Customer follows the link, self-serves. |
| Senior engineers triage devrel inbox between shipping. | Agent absorbs the boilerplate. Engineers focus on architecture questions. |
| SDK error codes have to be Google-searched on Stack Overflow. | Agent cites the relevant API reference page on every error question. |
| Customer-facing changelog ignored. | Changelog ingested into Shared Library. Agent surfaces relevant updates inline. |
If your support team is the bottleneck and the answers already exist somewhere — manuals, SOPs, Slack threads, your own knowledge base — you're our audience.
Multi-vendor distribution. Specialty IT. Network equipment. Satellite internet. IoT. Manufacturer docs become your first-line support layer.
HVAC, solar, telecom install, security systems, electrical. Technical Companion runs on a phone in the truck. Cited answers replace HQ phone calls.
Medical devices, financial services, healthcare. "Every claim is cited and traceable" is a compliance feature, not a nice-to-have. Enterprise tier with HIPAA-compliant deployment.