In Italian, intelletto means “intellect” — the human ability to understand, to exercise judgment, and to make sense of complexity. We chose that word on purpose, because that is the kind of help we want AI to provide.
AI today is very good at generating output. But most enterprises already have more reports, dashboards, and alerts than they can use. What they need is augmented intellect: systems that help recruiters, managers, and executives see patterns, understand the reasoning behind decisions, and move with confidence.
intelletto.ai works as an AI sidecar beside the systems you already rely on — your ATS, HCM, CRM, and other data sources. It doesn’t replace your people or your platforms. It turns scattered information into insight that is auditable, explainable, and ready to act on.
That’s the meaning behind our name:
AI built for the intellect of the people who carry the responsibility.
Most companies already have more résumés than they can reasonably process. The real challenge is turning that volume into a clear view of who is actually a good fit.
With intelletto.ai, the first step is parsing. We read PDFs, scans, documents, and HTML using AI models that understand layout, language, and local context. From each résumé we extract skills, roles, certifications, dates, and locations. We attach confidence scores and maintain an audit trail so compliance and HR teams don’t have to guess where the data came from or how it was interpreted. Data cleaning and normalization then bring everything into a consistent shape: titles aligned, encodings fixed, locations standardized, and every change logged.
Next, we structure that information so it becomes genuinely useful. Candidates are mapped to job families, seniority levels, domains, and likely outcomes. That makes search, ranking, and matching work reliably at scale. Event-driven pipelines, automatic retries, and built-in observability keep the system resilient, even under heavy load.
On top of this, we provide a Recruiter Command Center. Recruiters see auto-ranked lists, explainable scores, and adaptive assessments—technical, behavioral, and video—wrapped in safeguards that keep humans firmly in control. Their decisions and overrides feed back into the model so it gets better over time.
The result is scalable, fair hiring that fits directly into your existing stack. You don’t need to rip out systems you already trust—you make them smarter. That’s the role of intelletto.ai: turning raw candidate flow into structured, auditable intelligence your teams can actually act on.
AI should fit into the way your organization already works, not force you to start over.
- Embedded sidecar: Intelletto connects to your existing systems through APIs and events. There’s no need to replatform or rip out the tools your teams already know.
- Explainable by design: Every decision comes with its reasoning, confidence level, and policy checks. Leaders, auditors, and frontline teams can all see why a recommendation was made.
- Closed loop: The system learns from real outcomes at 30, 90, and 180 days. Each cycle makes future recommendations more accurate and more aligned with your actual performance.
- Governed from day one: Security, fairness, and auditability are built in, not bolted on. It’s ready for the boardroom and the regulator from the start.
- One architecture, many domains: HR, revenue, and workforce operations all run on the same intelligence layer. You get compounding value instead of siloed experiments.
- Weeks to value: You begin in shadow mode, move to gated decisions, and then safely automate where it makes sense—with instant rollback available at every step.
- Listen: Detects the key business events as they occur—an application submitted, a status changed, a case updated.
- Read: Pulls in only the minimum, relevant context from your systems, applying least-privilege access by design.
- Reason: Combines large language models with your own policy-as-code, so decisions reflect both intelligence and governance.
- Recommend: Produces clear, human-readable guidance with explicit rationale, not just a score or a black-box answer.
- Act: Writes actions and justifications back into your ATS, HCM, CRM, or other systems so the record of work stays complete.
- Learn: Improves continuously from real-world outcomes—approvals, overrides, and results at 30/90/180 days.
The result is faster, fairer, auditable decisions, made directly where work already happens.
Outcome‑linked domains you can turn on beside your ATS/CRM/HCM—without rip‑and‑replace.
Résumé Parsing & Scoring
Turn messy, inconsistent résumés into clean, comparable profiles with transparent Role Compatibility Scores.
- Faster shortlists with fewer false negatives and false positives
- Clear reason codes with linked evidence — ready for audit and review
- Closed-loop learning from 30/90/180-day outcomes to improve scoring over time
AVAR — Virtual Automated Recruitment
Use video résumés and adaptive simulations to evaluate candidates in a way that is structured, repeatable, and human-in-the-loop..
- Shorter time-to-hire with better quality of hire
- Built-in bias monitors and audit trails so humans stay in control
- A recruiter command center and candidate portal that keep both sides aligned
Perfect Match — Outcome‑Linked Intelligence
Connect predictions to real performance so scores, reasoning, and fairness reports stay current and grounded in results.
- Outcome feedback loops at 30/90/180 days
- Exportable audit and fairness reports for leaders, regulators, and partners
- Direct integration with your ATS/HCM — no new portal for teams to learn
AI Workforce Intelligence
Give leaders a clear view of skills, readiness, and well-being signals so they can develop people, not just measure them.
- Shorter, continuous review cycles instead of annual fire drills
- Readiness forecasts and burnout-risk indicators tied to real data
- Real-time feedback loops that turn everyday activity into actionable insight
Most organizations aren’t short on data. They’re surrounded by it.
Dashboards, reports, alerts, and logs arrive from every direction, all the time. Yet when it’s time to make a decision, leaders still find themselves guessing. The real problem isn’t information overload — it’s a lack of usable intelligence.
Even high-performing teams are starting to feel the cracks: effort spent reconciling numbers, debating which system is “right,” and reacting after the fact instead of shaping the outcome. They don’t need one more tool in the stack.
They need a living intelligence layer — something that listens to what’s happening, learns from real outcomes, and acts while the window for action is still open.
Your teams don’t have to move. They stay in SAP, Workday, Oracle, Salesforce, HubSpot, or whatever systems they already rely on. Intelletto sits beside those platforms as a sidecar, watching for key moments and delivering guidance directly into the existing flow of work.
The impact shows up quickly: measurable lift within the current quarter, without downtime or a major change program. No replatforming. No retraining. No change fatigue. Just smarter decisions — made faster, with more confidence.
Every recommendation from Intelletto comes with a clear “why.” You see confidence scores, the key signals considered, and the policy checks applied. And every Approve · Edit · Decline from your teams feeds back into the system, teaching it what “good” looks like in your context.
You stay in control the entire time. Intelletto doesn’t replace human judgment — it strengthens it, making each decision more informed, more transparent, and ultimately more human.
- Security: Encryption in transit and at rest, role-based access control, and scoped tokens for each role.
- Privacy: GDPR/PDPA-aligned, purpose-limited data use, and full auditability of how information is accessed.
- Assurance: Fairness monitors, signed artefacts, and reproducible runs so you can stand behind the results.
- Reliability: p95 latency targets, structured retries, and graceful degradation when upstream systems are under load.
- Rollout: A controlled path from Shadow to Gated to Automate, with one-click rollback at every stage.
- KPIs: Faster time-to-decision, lower override rates, and replay tests that pass at or above 95%.
The outcome is an intelligence layer you can scale with confidence — operationally, technically, and from a governance point of view.