Marketing White Paperv1.2 — Oct 1, 2025
Executive Overview
Recruiting is noisy — at enterprise Volume and velocity —. Teams drown in résumés, lean on keyword filters, and face bias and inconsistency. High‑potential talent slips through, and managers wait too long for results. Intelletto.ai changes the cycle. We deliver an intelligent sidecar that embeds within your ATS/HCM — explainable, embedded, and continuously learning.
Problem Context
- Volume without clarity: recruiters spend time cleaning data and building lists.
- Bias & inconsistency: keyword filters and manual reviews miss talent.
- Slow outcomes: time‑to‑shortlist measured in weeks, not hours.
- Disconnected systems: ATS, CRM, HCM rarely “speak” the same language.
Intelletto.ai Advantage
- Embedded: rides sidecar to systems of record — no rip‑and‑replace.
- Explainable: each score carries transparent rationale and evidence.
- Continuous learning: 30/90/180‑day feedback closes the loop.
- Governance‑first: audit trails, fairness checks, and compliance.
Three Domains
Résumé Parsing & Scoring
From raw documents to clean, explainable, role‑specific scores in minutes. Universal intake, Data Fusion, and a single Role Compatibility Score (RCS) with reasons.
AVAR
AI‑Powered Virtual Automated Recruitment: video résumés, adaptive assessments, and simulation interviews — scored fairly with human‑in‑the‑loop safeguards.
Perfect Match
Beyond résumés: learning profiles and continuous signals that predict fit, growth, and retention. Transparent, coachable, and built for mobility.
Market timing
Why now: GenAI and rapid toolchain shifts have changed how talent is found and evaluated. Role definitions evolve quarterly, and the strongest signals live outside résumés—usage telemetry, code/artifact trails, customer outcomes, and peer context. Traditional keyword filters can’t keep up with the volume and volatility; revenue and people leaders need evidence-driven shortlists that adapt fast without lengthy re-training.
What’s changed in talent search
- From keywords → evidence: Decisions increasingly require project impact, product usage, and outcome signals—not just title/skill strings.
- From static taxonomies → living ontologies: New frameworks and tools (LLM ops, vector DBs, agent orchestration) emerge monthly; mappings must evolve continuously.
- From single-source → multi-signal: CRM/ATS notes, product telemetry, support tickets, and billing health now carry decisive context.
- From black boxes → explainability: Hiring and revenue ops need reason codes and risk controls for board, audit, and regulatory review.
How Intelletto fits
- Data Fusion at enterprise scale: Normalize and reconcile résumés, artifacts, and operational data into a single candidate/customer graph with lineage.
- Context-aware scoring: Role-specific scoring that weights depth, recency, and transferability; a clear Role Compatibility Score with rationales.
- Sidecar delivery: Surface insights inside ATS/CRM/CS tools—no system rip-and-replace. Reviewers act where they already work.
- Outcome-linked learning: 30/90/180-day feedback tunes weights to what actually predicts performance, retention, and expansion.
KPIs to watch
- Time-to-shortlist / time-to-hire (velocity)
- First-round pass-up rate and offer-to-accept (quality)
- Ramp productivity at 30/90/180 and early attrition (outcome fit)
- Forecast accuracy and prevented churn in CRI use cases (revenue impact)
Bottom line: searches today aren’t the same as yesterday. Intelletto adapts to market shifts by fusing signals, explaining scores, and learning from outcomes—so teams can hire and expand with confidence at enterprise volume and speed.
ROI of Intelletto.ai
Intelletto.ai turns fragmented signals into measurable outcomes. By fusing operational data (résumés, product usage, support/billing health, deal context) and delivering explainable recommendations inside your existing tools, teams move faster, select better, and protect/expand revenue—at enterprise Volume.
Where the ROI comes from
- Talent (Résumé Parsing & Scoring): 40–55% faster time-to-shortlist; 30–45% recruiter hours reclaimed; +10–20% first-round pass-up; improved 30/90/180 ramp and lower early attrition.
- Revenue (Customer Revenue Intelligence): +8–12 pts forecast reliability; prevent 5–10% avoidable churn; expansion lift from explainable propensity signals and playbooks.
Why payback is fast
- Sidecar delivery: embed in ATS/CRM/CS—no rip-and-replace.
- Data Fusion: normalization and entity resolution for stable models and credible explainers.
- Outcome-linked learning: scoring improves against 30/90/180-day truth.
Directional ranges for planning; actuals depend on role mix, volumes, and integration scope.
Solutions & Benefits
Résumé Parsing & Scoring
- Universal intake → standardized candidate profiles.
- Data Fusion: normalization, deduplication, enrichment.
- Context‑aware scoring beyond keywords.
- Role Compatibility Score (RCS) with reasons.
AVAR
- Video résumés captured in‑flow.
- Adaptive technical assessments by role.
- Simulation interviews for behavior & problem‑solving.
- Scorecards, dashboards, and one‑click scheduling.
Perfect Match
- Learning profiles: skills, context, and potential.
- Fit beyond keywords: adjacency & transferability.
- Closed‑loop: post‑hire performance informs fit.
- Employee & manager views for coaching.
Vision: From Records to Intelligence
Your ATS and HCM are systems of record. Intelletto.ai is the system of intelligence riding sidecar — turning data into decisions, and decisions into outcomes. Embedded, explainable, governed.
Success matrix
Proof-of-Impact (POI) snapshot: the matrix below summarizes how Intelletto’s Data Fusion and explainable scoring translate into measurable outcomes. Ranges are directional; calibrate to your role mix and volumes.
| Area | KPI | Baseline | Pilot lift | Window | Definition |
|---|---|---|---|---|---|
| Talent | Time‑to‑shortlist | 5–10 days | −40% to −55% | Weeks 1–4 | Calendar time from req intake to first slate of interview‑ready candidates. |
| Talent | Recruiter hours reclaimed | — | +30% to +45% | Weeks 1–6 | Time saved across intake, dedupe, triage, and normalization tasks. |
| Talent | First‑round pass‑up | Team baseline | +10 to +20 pts | Weeks 2–6 | Share of candidates advancing past first interview screen. |
| Talent | Ramp at 30/90/180 | Role baseline | +5–15% | Months 1–6 | Productivity vs. target after 30/90/180 days in seat. |
| Revenue (CRI) | Forecast reliability | Team baseline | +8 to +12 pts | Quarter | Attainment vs. plan; reduction in late‑stage slip and surprise churn. |
| Revenue (CRI) | Prevented churn | ARR at risk | 5–10% protected | Quarter | ARR retained after CRI‑driven risk flags and coordinated playbooks. |
| Revenue (CRI) | Expansion conversion | Segment baseline | +5–12 pts | Quarter | Win‑rate uplift on explainable propensity‑to‑expand opportunities. |
- Baseline KPIs for target roles/segments; define acceptance thresholds.
- Run A/B shortlists and CRI plays for 4–6 weeks; capture reasons and actions.
- Compare cohorts on cycle time, pass‑up, ramp, forecast accuracy, expansion, and prevented churn.
- Calibrate weights; roll out to adjacent roles; lock governance checks.
Deployment & Integration
Sidecar model
- Embeds UI components inside ATS/HCM workflow.
- APIs for lists, details, explainers, exports.
- Event hooks for 30/90/180‑day feedback loops.
Rollout plan
- Weeks 0–1: Connect systems, define target roles & KPIs.
- Weeks 1–2: Baseline metrics, configure role profiles.
- Weeks 2–4: Pilot shortlists, calibrate weights.
- Weeks 4–8: Enable outcome capture; iterate.
Trust, Privacy & Governance
Explainability
Every score ships with rationale and sub‑scores. Auditable narratives answer “why this candidate?”
Responsible AI
Monitors for drift and adverse impact; interventions recorded with justifications.
Privacy
Role‑based access, data minimization, retention controls, and opt‑out pathways.
Indicative unit economics (per résumé)
- Parsing — Standard: ~$0.0486
- Parsing — Premium (with AI Data Fusion): ~$0.1146
- Scoring — Standard: ~$0.1728 (Grand Total Std: ~$0.2203)
- Scoring — Premium: ~$0.2880 (Grand Total Prem: ~$0.4015)
Directional for planning; excludes storage/egress; subject to model/provider choice and volume tiers.