Driver recruiting that fills seats without the recruiter grind.
Screen applicants against transparent job requirements, collect documents, schedule next steps, and hand qualified candidates to human recruiters faster.
Nothing is finalized until a human approves it.
Where the time and money actually go.
Recruiters repeat the same calls, applications are incomplete, license and experience evidence arrives in fragments, and qualified drivers abandon slow processes.
Recruiters, applicants, safety and onboarding teams
Trigger to act: Open seats are constraining revenue, recruiter cost per hire is rising, or a carrier needs after-hours multilingual applicant response.
The result you can model before you sign.
Illustrative only: 1,000 applicants/month × 9 minutes removed × $32 loaded recruiter hourly cost ÷ 60 = $4,800 monthly capacity. Value of faster seat fill is fleet-specific.
The outcome, plainly: Screen applicants against transparent job requirements, collect documents, schedule next steps, and hand qualified candidates to human recruiters faster.
Inputs in. A cited, review-ready result out. Your expert decides.
A Voice AI + workflow agent. Every material fact is grounded in an allowed source and returned with its identifier, no invented data.
OpenAI Realtime 2.1 mini or an evaluated equivalent for low-latency conversation; Claude Sonnet 4.6 or GPT-5.6 Terra for post-call verification and structured summaries. Twilio Programmable Voice; ElevenLabs only where voice quality or speech tooling wins the eval.
- Application
- CDL and endorsements
- Experience
- Location
- Availability
- Job requirements
AI-Native, not autonomous. Judgment stays with your people.
The machine does the work; the human’s role narrows to the one thing that matters, judgment. That constraint is what makes it safe to deploy.
Recruiters make all hiring decisions; safety/compliance staff adjudicate records; adverse-action and background-check procedures remain human governed.
A scorecard, not a demo. We baseline what breaks in production.
Every deployment ships with an evaluation suite. These are the numbers we baseline before launch and monitor after.
The category is crowded. Most of it isn’t built for your workflow.
Fixed-scope, tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in from day one. A price you own, not a subscription you rent.
It plugs into the stack you already run.
No rip-and-replace. Access is scoped to the minimum data necessary, isolated per tenant, and fully logged.
Transparent by design. The build price buys the workflow and the proof.
A fixed implementation fee plus a monthly bill that scales with volume and governance. No hidden seats.
- ✓ One process / scope
- ✓ Live workflow on your data
- ✓ Baseline evaluation suite
- ✓ Measured vs. current process
- ✓ Full scope & integration
- ✓ Human-review UI & audit trail
- ✓ Write-back to your systems
- ✓ Production evals & monitoring
- ✓ Multi-facility rollout
- ✓ Advanced security & compliance
- ✓ Custom control & escalation
- ✓ Dedicated evaluation program
3,000 to 15,000 connected voice minutes per month; telephony, speech, model and recording storage.
Planning assumptions, not vendor quotations. Your ATS and other platform licenses are separate and owned by you. Figures confirmed during scoping.
“His vast knowledge of technologies and a natural problem-solving mindset consistently lead us through complex challenges with clarity and confidence.”
Questions serious buyers ask.
Does the AI act on its own?
No. Recruiters make all hiring decisions; safety/compliance staff adjudicate records; adverse-action and background-check procedures remain human governed. The system drafts and recommends; a human approves every consequential action. Explicitly excluded: no discriminatory screening; no hidden automated hiring decision; no background check without consent; no safety qualification beyond configured evidence and human review.
How do you stop it inventing facts?
Every material claim is grounded in an allowed source record and returned with its source identifier. The system separates observed facts, model inference, and missing information, and routes to a human whenever confidence is low, evidence conflicts, or an adverse outcome is possible.
What does it cost to run each month?
A usage bill of roughly $800–5,800 per month (3,000 to 15,000 connected voice minutes per month; telephony, speech, model and recording storage), plus a $2,200 per month managed retainer for evaluation, monitoring and maintenance. Your existing platform licenses are separate and already yours. Exact figures are confirmed during scoping.
Do we need a ChatGPT or Claude subscription?
No consumer ChatGPT or Claude subscription is required for the production workflow. The client needs an approved API/cloud billing account. Workspace seats are optional for internal prototyping and administrator access.
How is this different from Tenstreet?
Tools like Tenstreet, DriverReach, Indeed are broad platforms you adapt to. This is a fixed-scope implementation tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in, and a transparent price instead of a seat subscription.
How long until it’s live, and how do we prove it works?
This is a specialist opportunity. We baseline “Applicant response time” first, then measure against that baseline. You see the scorecard before expanding scope, the evaluation suite ships with the system, not as an afterthought.
Bring your real numbers. Leave with a fixed-scope plan.
A 30-minute engineering-led working session, no slideware. You leave with a sized opportunity estimate, a fixed-scope pilot plan, and the integration & human-review path mapped.
VP of Growth at ViitorCloud · senior delivery owner confirmed before paid work