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The intelligence layer your tech stack is missing.

Levos sits above your entire tech stack. Not a replacement. The OS layer. We aggregate behavioral signals from 16+ tools into 6 signal families, surface them across 6 persona views, and turn raw data into decisions through LEV.

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16+
Data Connectors
6
Signal Families
6
Persona Views
<30s
AI Brief Generated

The intelligence funnel.

One intelligence system. Six perspectives. Every action compounds. Signals flow up through the org. Decisions cascade down. Every layer makes the next layer smarter.

AI Impact Report

Generated on demand. Sent to the board, the audit committee, and every renewal conversation. The artifact that travels

See Report →
CEO Morning Brief
90-second decision queue
CHRO
People Intel
CFO
Financial Intel
CRO
Revenue Intel
Managers
Team pulse and coaching intelligence
1:1 prep · team risk · action queue
Employees
Source layer for daily behavioral signals
Skills radar · growth · AI companion
Signals Compound Upward
Employee actions become executive intelligence.
Decisions Cascade Downward
Leadership actions return to teams as guidance.
Output: Report Exports Outward
AI impact reporting moves outward for sharing and decision support.

Three questions every leadership team is asking.
Levos answers all three.

01

SaaS Stack Intelligence

Which tools are worth paying for?

Most mid-market companies run 250 to 600 licensed tools. Levos surfaces utilization, duplicates, and abandoned licenses across every connected tool, by team and role. 20-35% of SaaS spend goes unused.

Source: Gartner, Productiv

20–35% of SaaS spend goes unused (Gartner, Productiv).
Read the full story →
02

Human Capital Optimization

Which people are worth investing in?

Senior employee replacement typically costs 150-200% of annual salary once recruiting, ramp time, and lost knowledge are counted. Levos surfaces attrition risk signals before resignation and high- potential employees ready for investment. 60-90 days target detection window.

Source: SHRM, Gallup

60–90 days target detection window (SHRM, Gallup).
Read the full story →
03

AI Navigation and ROI

Is your AI deployment actually working?

M365 Copilot, ChatGPT Enterprise, and other AI tools cost the typical mid-market enterprise more than $1M annually. Levos surfaces adoption depth and productivity correlation by team, with confidence scoring on every claim. 42% of CEOs say their company is stuck on AI ROI.

Source: PwC, March 2026

42% of CEOs say their company is stuck on AI ROI (PwC, March 2026).
Read the full story →

SaaS Stack Intelligence

Which tools are worth paying for?

Most mid-market organizations are running between 250 and 600 SaaS licenses across the workforce. Some of those tools are critical infrastructure. Most are not. A few are duplicates of tools that already exist elsewhere in the stack, picked up by different departments at different times, paid for by different cost centers, and never reconciled.

Industry analysts estimate that 20 to 35 percent of enterprise SaaS spend goes unused. For a 1,500-person organization, that translates to seven-figure annual waste hidden inside line items no single person owns. The CFO sees the aggregate spend. The procurement team sees the contracts. Neither sees who is actually using what.

What Levos measures

Levos pulls behavioral signals from every connected SaaS tool through customer-authorized OAuth flows. Specifically:

  • License utilization. Active weekly usage per license, not just license assignment. The gap between 'we have 600 Microsoft 365 licenses' and '440 people opened Outlook this week' is the gap most procurement teams cannot quantify.
  • AI tool adoption depth. For every AI tool in the stack (Copilot, ChatGPT Enterprise, Gemini, Claude, Grammarly, etc.), the frequency and depth of actual usage by team and role. Not adoption rate. Adoption depth.
  • Tool overlap. Where two or more SaaS tools serve the same function for different departments. Common patterns include CRM duplication, project management duplication, and AI tool overlap.
  • Cost per active user, by tool. Total annual spend divided by the number of seats actively producing work in that tool, not by total licensed seats. This is the number that exposes the tools you should keep, the tools you should reduce, and the tools you should kill.

What the CFO sees

A single SaaS Stack Intelligence surface that lists every connected tool, the active user count, the cost per active user, the overlap with other tools in the stack, and a recommended action with a dollar value attached. The recommended actions are explicit: keep, consolidate, renegotiate, retire.

Every recommendation includes the math behind it. Every retirement candidate includes the projected savings in the next contract cycle. The CFO walks into the next renewal conversation with the data already in hand.

Human Capital Optimization

Which people are worth investing in?

Every organization has employees who are quietly outperforming, employees who are signaling burnout, and employees who are about to leave. Most organizations cannot tell the three apart until they receive a resignation notice.

The data exists. It is sitting in communication tools, code repositories, project systems, CRM records, productivity suites, and HRIS platforms. The patterns are real. Productivity changes that precede attrition are measurable. Skill development trajectories show up in the work itself, not in self-assessments. The problem is not measurement at the individual tool level. The problem is that no single tool produces the cross-tool view a manager or CHRO actually needs.

What Levos measures

Levos derives six families of behavioral signals from the tools your workforce already uses, then aggregates them into individual and team-level intelligence. For Human Capital Optimization specifically:

  • Attrition risk signals. Patterns that consistently precede resignation. Reduced communication depth, declining commit velocity, missing deadlines that the same person had been hitting, change in working hours. Levos surfaces the pattern 60 to 90 days before resignation typically occurs, giving leaders a window to act.
  • Skills derived from demonstrated work. Skills inferred from the actual artifacts produced (code commits, documents authored, deals closed, projects shipped) rather than from self-reported assessments. The result is a continuously updated skills inventory based on what people actually do, not what they say they can do.
  • High-potential signals. The inverse of attrition risk. Employees showing rising contribution depth, expanding cross-team collaboration, demonstrated skill development outside their formal job description. These are the people the organization should be investing in, but most managers cannot identify them without a structured signal.
  • Coaching opportunities surfaced in context. A manager opening their team view sees not just performance data but specific coaching recommendations grounded in the signals. Not generic management advice. Specific observations about specific patterns in specific reports.

What the manager and CHRO see

A manager sees their direct reports with full individual detail, the same access they already have today across the tools their team uses, unified into one view. Per direct report, they see attrition risk score, skill development trajectory, recent contribution patterns, and a 30-second coaching brief generated by LEV.

A CHRO sees the same signals aggregated to team and department level, with a minimum group size of five to protect individual privacy. The view includes attrition risk heatmaps across the org, skills gap analysis by function, and retention investment recommendations by team. Individual data does not flow up to the CHRO routinely. The aggregated view is sufficient for strategy.

Six signal families. One complete picture.

Every person in your organization is scored across six behavioral dimensions, derived from real work, not self-assessments.

First in market

AI Impact

AI tool adoption rates, productivity delta, and learning curve trajectory. Measure how AI is reshaping your workforce, not just login counts.

Claude, Copilot, ChatGPT, Gemini, GitHub Copilot

Activity

Communication patterns, tool usage, meeting frequency, collaboration depth. Context, not a productivity metric on its own.

Slack, Teams, Gmail, Zoom, Read.AI

Quality

Code review feedback, document revision patterns, rework rates, peer review outcomes. Output quality from real artifacts, not opinion.

GitHub, Jira, Confluence, Grammarly

Delivery

Sprint velocity, ticket completion rates, deadline adherence, delivery predictability. Are people shipping what they committed to?

Jira, Linear, Asana, GitHub

Revenue

Pipeline progression, deal velocity, quota attainment, customer expansion signals. CRO and CFO joint view from the same underlying signals.

Salesforce, HubSpot, Gong, Outreach

OKR Alignment

Objective progress tracking, key result completion, strategic alignment scores. Surfaces the gap between strategy and execution before quarterly reviews.

Lattice, 15Five, Quantive, Jira Align
Explore each signal family in depth →

One platform. Six perspectives.

Morning Brief

90-second daily intelligence and suggested actions. Decision queue. The apex view.

People Intelligence

Attrition risks, talent strategy, engagement signals. Retention moves before they become exits.

Financial Intelligence

Workforce ROI, cost efficiency, AI investment signals. Defensible spend decisions.

How we operate →

Revenue Intelligence

Pipeline health, quota attainment, rep performance. Momentum before the quarter closes.

Team Intelligence

Team coaching, 1:1 prep, direct report views. 30-second brief instead of 30-minute prep.

My Performance

Personal skills strengths, AI growth opportunities, recurring intelligence workflows. Employees see what we see.

LEV Decision Engine

LEV. Where signals become decisions.

Not a chatbot. A bounded-choice decision engine. LEV operates at every layer of the funnel, surfacing the right insight at the right moment, with the right next action. Sub-30-second outputs. Full source citation.

Every bounded-choice decision flows back into the measurement substrate, becoming a new signal that improves future recommendations.

See how LEV works →
LEV / Manager View
1:1 Prep - Jordan Lee
LEV Active

Jordan Lee's 1:1 is overdue. Activity down 42%.

Pattern detected: Skills gap, not motivation. Approach: Support, not review.

Activity
42
was 72
AI Impact
22
lowest on team
Generated in under 30 seconds 87% confidence
Methodology

How the methodology works.

Measurement is the moat. Levos uses controlled cohort analysis with confidence scoring, applied to behavioral signals from the tools your workforce already uses. Every score has a confidence rating. Every signal cites its source. The methodology is open. The platform operationalizes it.

Behavior, Not Opinion

We derive measurement from observed behavior in the tools your workforce already uses. No surveys. No self-reports. No annual review prose. Behavior is real. Opinion is downstream of behavior.

Confidence, Not Certainty

Every score has a confidence rating. Every signal cites its source. We tell you what we know, what we are inferring, and what we cannot tell you yet. Reports that claim certainty are reports that hide their assumptions.

Transparency, Not Opacity

The methodology is documented. The signal sources are listed. The aggregation rules are open. Levos is not a black box. It is a platform that operationalizes a documented standard.

How the methodology works.

01

Connect

Connect M365, GitHub, Salesforce, and your AI tools. OAuth, no agents installed. Data flows through customer-authorized connections only.

02

Signal Extraction

Levos pulls behavioral signals into the six signal families. Every signal is timestamped, sourced, and assigned a data freshness score.

03

Controlled Cohort Analysis

We compare adopting teams to non-adopting teams, controlling for tenure, role, and tool stack. We disclose the limits of this approach openly. We do not claim full causal attribution.

04

AI Impact Report

Report generates with confidence scores, source citations, and methodology references. Export as PDF, push to M365, share to Slack, or upload to Salesforce.

Free Download

The AI Impact Methodology document.

A document covering the framework for measuring AI workforce ROI: signal families, controlled cohort analysis, confidence scoring, sector benchmarks.

Levos logo LEVOS
Methodology
AI Impact Measurement Framework
Priority access: in final review

Request Priority Access

The document is in final review. Submit your details and you will be first to receive it when it publishes.

No spam. No drip. Just the document when it publishes.

AI Impact Report

Generate the report. Send it to the board.

The AI Impact Report sits at the top of every persona page in the platform. One click generates it. Export as PDF, push to M365, share to Slack, or upload to Salesforce. The board-ready artifact, on demand. The report is fed by the same signal substrate that powers every persona view. One source of truth. Six perspectives. One artifact.

The report is fed by the same signal substrate that powers every persona view. One source of truth. Six perspectives. One artifact.

Export PDF
Board-ready format
Push To M365
Syncs to SharePoint
Share To Slack
Any channel
Upload To Salesforce
Attach to records
AI Impact Report
Q2 2026
Executive Summary
22%
AI adoption
+18%
Output delta
$5M
License spend
Cohort analysis
Engineering (adopters)+34%
Sales (low adoption)+3%
Confidence: 84% Methodology: controlled cohort
Sample data. Your report will be based on your connected data sources and methodology.

Connects to the tools you already use.

Configuration-driven connector engine. One JSON manifest = one connector. We add new tools every month.

AI Tools
Copilot
Claude logo
ChatGPT logo
Grammarly logo
HRIS
Workday logo
BambooHR logo
SAP SuccessFactors logo
Lattice logo
Communications
Microsoft 365 Copilot logo
Slack logo
Zoom logo
Read.AI logo
Engineering
GitHub
Jira
Linear logo
Notion logo
CRM
Salesforce logo
HubSpot logo
+ Request Connector

Why Levos is different.

Behavioral Signals, Not Surveys

Levos pulls real-time data from your workforce's actual tools. No self-reported metrics, no lag.

Vendor-neutral Measurement

Microsoft will not tell you if Copilot is working. We will. Vendor-neutral signals across every tool, every vendor.

Privacy By Design

Individual data flows only to you and your direct manager, the same access they already have today across your tools. Skip-level executives and other departments see team-level aggregates only, with a minimum group size of five to prevent reverse-engineering. Peers never see individual data.

How we operate →

6 Signal Families

Activity, Quality, Delivery, Revenue, OKR, AI Impact. A complete picture of how work actually happens.

Persona-adaptive Views

The same signal data looks different to a CHRO, CFO, or manager. Levos adapts the view, but everyone reads the same truth.

16+ Connectors

Plug into Slack, GitHub, Jira, Salesforce, Workday, M365, and more. New tools added monthly. If you need a connector, we build it.

Platform FAQ

Platform capabilities, frequently asked.

Levos is the Human Capital Operating System for the AI era. It is a workforce intelligence platform that aggregates behavioral signals from workplace tools (like Microsoft 365, Google Workspace, GitHub, Slack) into one shared truth that the CFO, CHRO, CRO, manager, and employee each act on.

Levos connects to existing workplace tools via secure APIs to ingest behavioral signals (such as meeting patterns, code commit frequency, and email response times). We group these into six signal families and process them through the LEV decision engine, which uses bounded-choice AI to generate predictive insights and role-specific recommendations.

Levos measures AI workforce productivity and behavioral patterns using controlled cohort analysis. We measure six signal families: Activity, Quality, Delivery, Revenue, OKR, and AI Impact. We see metadata and patterns, never document content or keystrokes.

Microsoft Viva cannot credibly grade Microsoft because it optimizes for M365 usage. Workday is a system of record that relies on static data, not real-time behavioral signals. Levos is vendor-neutral by design and cross-tool by architecture, providing an objective measurement layer across your entire technology stack.

Levos employs a strict access hierarchy and an aggregation floor. Individuals see their own data. Direct managers see data they already have access to. Anyone above the direct manager sees only team aggregates of at least five people. Smaller teams are not surfaced at the executive level. We never collect screen captures, biometrics, keystrokes, or message content.

Workforce Intelligence Layer

Ready to see
the operating layer?

Request access and we will set up a guided demo with sample data. See exactly how Levos transforms workforce signals into intelligence for the CHRO, CFO, and CEO all at once.

Request Access Launch Demo
Walkthrough required. Email tomer@levos.ai for guided demo.
CEO persona portrait CEO
CFO persona portrait CFO
CHRO persona portrait CHRO
Manager persona portrait Manager
Employee persona portrait Employee
AI Ops persona portrait AI Ops
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