How AI transforms your staffing operation — from manual resume grinding to an always-on recruiting machine that never sleeps.
⏰ 3-4 recruiters spend a full day manually reviewing overnight applicants in chronological order — not by quality.
📱 If you don't contact them immediately, they're gone. Competitors who respond first win the candidate.
💸 Existing AI solutions are overpriced. Whippy wants $38K+/year for 2-3 year old technology built when AI was primitive.
📋 Recruiters work resumes in order, not by fit. Your best candidate might be #187 in the stack — reviewed at 4 PM when they've already taken another call.
The math is brutal: At 200 applicants/day with a full-day review cycle, you're losing candidates every hour you're not responding. In staffing, speed is the product.
Five AI agents working together, plugged directly into Aviante via API:
Constantly monitors Aviante for new "web apply" events. The moment someone applies — day or night — the system activates. No more morning backlog.
AI reads every resume against the job description, required skills, location, and experience. Scores and ranks candidates so recruiters see the best matches first — not first-in, first-out. Pushes ranked lists directly into Aviante.
Texts and emails new applicants within minutes of applying. Asks basic qualifying questions via SMS. Re-engages past candidates in your database based on skills, recency, and location. Integrates with Sense for texting.
Calls candidates and asks structured interview questions specific to each job. Captures answers, summarizes into standardized interview notes, and writes them back into Aviante activity history. Your recruiters get a completed screening before they ever pick up the phone.
Coordinates candidate availability with recruiter calendars. Books time slots automatically. Confirms and reminds candidates via text and email. Zero phone tag.
The five core agents handle the grind. The Copilot sits in the middle of the recruiter pod as an always-on assistant that makes your people smarter, faster, and more strategic.
Every morning, each recruiter gets a personalized dashboard: top candidates for their open jobs, who to call first, which candidates went cold overnight, and what's urgent.
→ Recruiters start each day with a game plan, not a pileAI suggests what to do next — who to call, who to text, who to submit to a client, which job order needs attention. Based on real-time pipeline data, not gut feel.
→ Every action is the highest-leverage move availableYour existing candidate database is a gold mine. AI scans records against new job orders, launches targeted campaigns to dormant but qualified candidates, and maintains ongoing touchpoints — check-ins, availability updates, skill refreshes.
→ Turn your 24 years of data into placements, not just recordsStructured status updates to hiring managers: pipeline health, candidate flow, submission stats. Automated but professional — keeps clients informed without eating recruiter time.
→ Clients feel managed. Recruiters stay focused on placing.JCB is building a new plant in San Antonio. They need 1,500 workers — welders, plumbers, electricians. The kind of manual labor that's last to be automated and always in demand.
The question isn't whether you can find the people. With 24 years of San Antonio labor market data, you know this market better than anyone. The question is: can you process the volume fast enough to win the contract over multiple competing staffing firms?
With AI handling screening, ranking, outreach, and scheduling — 6-7 recruiters with AI could do what would normally require multiple staffing companies.
Whippy and similar platforms were built 2-3 years ago when AI was primitive. They charge premium prices for basic automation. Today's AI models are dramatically more capable — and a custom solution costs less.
Aviante API access: $350-$1,000/month depending on bandwidth. That's your integration cost — everything else is the AI platform we build on top of it.
We don't just throw AI at the wall. Every step is specified, tested, and verified before we move forward.
Recorded sessions with your recruiters. Document every workflow, every pain point, every edge case. Output: Product Requirements Document that defines exactly what "done" looks like.
Database design, UI wireframes, Aviante API mapping. Every integration point documented and tested. You approve the spec before a single line of code.
Test-driven development — verification built into every component. Watcher → Ranker → Engager → Screener → Scheduler → Copilot. Each module works before the next begins.
Live with real applicants. Monitor, tune, optimize. Your recruiters trained on the new workflow. Measurable results from day one.
Our design philosophy: If you can't write the test, you don't understand the problem. Every AI output is verified. The dangerous system isn't the one that crashes — it's the one that screens candidates wrong and you don't catch it.
The core platform is just the beginning. Once the foundation is solid, these capabilities unlock naturally:
AI that explains what the system is doing and why. Walks new recruiters through workflows and best practices using real examples from your Aviante data. Cuts onboarding time dramatically.
Analyze funnel metrics — time-to-contact, conversion by source, drop-off points. AI recommends where to adjust job ads, screening questions, or recruiter workflows. Continuous improvement, data-driven.
Regular client touchpoints automated — pipeline reports, candidate quality metrics, proactive recommendations. Your clients feel like they have a dedicated team, even if it's AI-assisted.
Long-term play: as industrial robotics matures, the same AI platform that staffs human workers could manage the deployment, monitoring, and utilization of robotic "workers" — leased to industrial clients. A new revenue line.
Manual labor staffing — welders, plumbers, electricians — is the last segment to be automated. While white-collar placement firms get disrupted by AI, your market stays strong. But the staffing companies that use AI to serve that market faster will crush those that don't.
1. Recorded discovery sessions with your recruiting team — capture every workflow detail
2. Product Requirements Document — define exactly what we're building and how we'll know it works
3. Technical specification — Aviante API integration, database design, UI
4. Build, test, deploy — specification-first, verification-always
Every step is transparent. You see exactly what you're getting before we build it.
Unlock AI. Lock Down Risk.