AI embedded where the work already happens

Every mechanism named. Every agent scoped. The AI layer of the People and Culture Intelligence Platform, built into the HCM and the workflows where recognition, feedback, communications, and comp decisions are made.

Platform Overview

Embedded AI beats bolt-on AI in people and culture

Most enterprise AI lives next to the work. Separate tab, separate login, separate data model. Semos Cloud puts every mechanism where the signal is born and where the action is taken.

A separate tab

Users switch context to get AI help.

A separate login

Shadow SSO. Shadow identity. Shadow audit trail.

A separate data model

AI guesses at behavior the HCM already knows.

Inside the HCM

Runs on SAP BTP, Workday Extend, native Oracle HCM. No shadow data model.

Inside the workflow

Recognition suggestions inside the recognition flow. Feedback inside the feedback flow. Coaching inside the 1:1.

Inside the Knowledge Graph

Every mechanism draws from the same behavior data. Every suggestion is grounded in organizational signal.

One engine powers every mechanism

The AI layer is a single engine feeding many scoped agents. Every agent shares context through the Knowledge Graph. None run in isolation.

01
System of Record
Behavior on top of records

Your system of record knows the structure. It doesn't see the behavioral layer. We connect both.

02
Knowledge Graph
One job, one pillar

Synthesizes signals into one coherent model: teams, relationships, engagement, compensation, retention risk.

03
Agent surfaces
One job, one pillar

Each mechanism pulls from the Graph, drafts the next action, surfaces it inside the HCM, Teams, Outlook, mobile, kiosk, or the Unified App.

04
People act
The loop tightens

Every action generates new data. New data sharpens every agent. Domain signal compounds.

Every mechanism has a name, a pillar, and a scoped job

The full inventory across the four capability pillars of the platform

Pillar 01
Social Recognition & Rewards
Recognition Agent
Recognition Agent
Drafts timely, personalized recognition from context, tenure, peer signals, and milestones. Removes the blank-page problem and raises message quality.
Message Quality Indicator
Anyone giving recognition
Scores messages in real time before send, against Stanford 4Is.
Nomination Agent
All employees
Nominates colleagues directly through natural language, so nomination friction stops throttling program participation.
Voting Agent
All employees
Surfaces active voting programs, reviews nominees, casts votes without leaving the workflow.
Celebration Agent
All employees
Nudges employees on colleagues' Moments that Matter and drafts personalized celebration messages.
Redemption Agent
All employees
Guides the full rewards redemption lifecycle in chat — balance, categories, checkout — without manual UI navigation.
Earn Points Agent
All employees
Runs incentive campaigns through natural language chat, guiding participation step by step.
Pillar 02
EX, Listening & Communications
Communications Agent
IC Leaders
Creates targeted communications based on intelligent employee segmentation so the right message reaches the right audience.
Survey Generation Agent
HR, IC Leaders
Structures questions, targets the audience, automates distribution to improve data quality and shorten launch time.
Sentiment Analysis
CHROs, HRBPs
Sentiment shifts in survey and comms data.
Survey Analysis Agent
HR Leaders, Managers
Turns raw survey responses into team insights, sentiment trends, and recommended actions.
Feedback Agent
HR Leaders, Managers
Guides employees through structured, impactful feedback conversations so intent translates into specific, actionable delivery.
Pillar 03
Manager Effectiveness & Development
Meeting Agent (with Signals Engine)
First-line managers
Turns meetings into clear notes, action items, and organizational work insights. Captures ambient knowledge as structured intelligence.
Company Agent
Leaders, Managers
Supports strategic decisions with market trends, organizational goals, and talent insights through natural language.
Culture Agent
Leaders, Managers
Analyzes values alignment, sentiment, and behavioral signals and surfaces culture health insights in real time.
HRBP Agent
HRBPs, Managers
Virtual HR Business Partner for common and complex people challenges, delivering recommendations through natural language.
Coaching Agent
Managers
Continuously improves manager effectiveness through real-time insights, behavioral nudges, and structured leadership support.
Career & Growth Agent
Managers, ICs
Personalized career insights drawn from skills, traits, and professional network. Connects aspirations to concrete development opportunities.
Individual Development Plan Creation Agent
Managers, ICs
Builds structured IDPs aligned to desired roles and competencies. Keeps plans tied to real skill needs.
Skills Agent
HR Leaders, Managers
Detects, catalogues, and analyzes employee skills from recognition, feedback, meetings, CVs, LinkedIn — surfaces learning recommendations.
Culture Intelligence Agent
HR Admins, Managers
Query workforce analytics, explore talent insights, and receive actionable recommendations through natural language.
Pillar 04
Total Rewards, Benefits & Pay Equity
Rewards Agent
Employees, Managers, HR Admins
Answers questions across rewards and benefits — individual benefits, comp components, eligibility, payment history, stock grants, admin configurations — in context.
Pay Transparency Agent
All employees, TR Leaders
Helps every employee understand what they earn, how it compares to peers, and what rights apply under pay transparency law. Supports continuous pay equity compliance including the EU Pay Transparency Directive.
What-If Simulator
Employees, Managers
Models how career changes — promotion, location, role, bonus structure — impact total compensation in real time, before decisions are made.
Compensation Intelligence
TR Leaders, CHROs
Trends, flags pay differences across demographic segments.
AI-Assisted Remediation
HR, Comp Teams, Executives
Identifies pay gaps and proposes optimal salary adjustments — balancing equity, budget, and compliance — with human approval built in.

Enterprise controls under every agent

Every mechanism runs under the same safety and governance model

Auditable

Every agent action leaves a trail. Admins see what the AI proposed and what humans accepted.

Human-in-the-loop

AI drafts. People approve. Recognition suggestions, feedback framings, and coaching prompts surface as drafts — not autopublishes.

Bias detection

Feedback Agent flags bias patterns. MQI scores recognition for quality and inclusivity before it sends.

Data residency & tenant isolation

Customer data stays inside the customer tenant. No cross-customer training. Regional data residency available.

Named, scoped agents

Every mechanism has a defined job, pillar, and audience. No general-purpose copilots.

Everybody is doing data and AI. We differentiate where we have domain expertise.

Filip Misovski
CEO

"Every agent we ship is trained on a signal no generic AI vendor has ever seen. Ten years of recognition behavior across 2 million employees. You can't buy that. You build it."

Domain-scoped

Agents built for people and culture decisions. They stay inside that scope by design.

Framework-grounded

Feedback Agent uses Stanford 4Is. Recognition Agent applies research-backed recognition cadences. Career & Growth references established personality frameworks.

HCM-native

Runs on SAP BTP, Workday Extend, and Oracle HCM architectures, inside the system of record.

Embedded, three ways.

The same AI layer, the same Knowledge Graph, native inside the HCM your organization already runs

SAP SuccessFactors
SuccessFactors

Architecture

SAP Business AI Platform and Joule

Partner Status

Spotlight+ partner since 2025

Agents surface inside the SAP workflow and inside Joule.

Workday
HCM

Architecture

Workday Extend & Sana

Partner Status

Innovation Partner status

Agents surface inside the Workday experience.

Oracle HCM
Cloud HCM

Architecture

Native connection

Partner Status

Redwood-ready

Agents surface inside Oracle Cloud HCM workflows and Oracle Redwood experiences.

FAQs

  • What is embedded AI in people and culture workflows?

    Embedded AI is AI built into the workflows where people and culture work happens. In Semos Cloud, named mechanisms and scoped agents support recognition, feedback, communications, manager effectiveness, rewards, benefits, and pay equity by using HCM context and behavior signals from the Knowledge Graph.

  • How does embedded AI work in Semos Cloud?

    Semos Cloud connects HCM records and people behavior signals through the Knowledge Graph. Agents draw from that shared context, draft the next action, and can surface inside the HCM, Teams, Outlook, mobile, kiosk, or the Unified App. People review and approve the action.

  • Why should AI agents sit inside the HCM workflow?

    People and culture signals happen inside everyday work: recognition moments, feedback conversations, survey responses, manager meetings, communications, and rewards decisions. Semos Cloud places agents inside those workflows so the AI can read the right context and support action at the right moment.

  • Which agents are included?

    The page can reference agents and mechanisms across recognition, communications, listening, feedback, manager effectiveness, development, rewards, benefits, and pay equity. Examples include Recognition Agent, Feedback Agent, Communications Agent, Survey Generation Agent, Meeting Agent, HRBP Agent, Culture Agent, Career and Growth Agent, Rewards Agent, and Pay Transparency Agent.

See the agents running inside your HCM

See how it works
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