AI-native HR analytics platform

The people analytics team you don't have to build.

Answers for CHROs, Talent leaders, People leaders, Line managers, HR IT & CIOs, People analytics, HR business partners.

IntRpret comes with the data model, the AI agents and the models already built. Business Intelligence turns a sentence into dashboards and reports, Decision Intelligence builds, watches and diagnoses your KPIs, and Workforce Intelligence plans the workforce you will need.

  • Fewer tools — one platform, not a warehouse, a BI tool and an ML stack
  • Less dependency — answers without waiting on analysts or engineers
  • Less siloed knowledge — every definition, figure and finding in one place
Use case · Retention
  • Forecasts & predictions
  • Workforce Intelligence

“Who is at risk of leaving voluntarily in the next six months, and why?”

How IntRpret answers
  1. Reads your people's records and the 500+ signals behind them: tenure, pay against peers, ratings, team changes.
  2. Learns from your own leavers, with protected attributes kept out of the model.
  3. Ranks who is at risk, says why for each person, and how far to trust it.
What you get
  • At-risk listWho is at risk, ranked, with how likely.
  • Reasons per personWhat raises each person's risk.
  • Can I trust this?How accurate it is, checked for fairness.
On your own data · every figure shows how it was worked outSee retention use cases

Connects through APIs and data layers — nothing to replace

  • Keka
  • Workday
  • SAP SuccessFactors
  • Darwinbox
  • Oracle HCM
  • BambooHR
  • greytHR
  • Greenhouse
  • Lever
  • Culture Amp
  • Snowflake
  • Databricks
  • BigQuery
  • PostgreSQL
  • MySQL
  • Google Sheets
  • Google Drive
  • Excel & CSV
  • SharePoint
  • Microsoft Copilot
  • Microsoft Teams
  • Slack
  • Claude · MCP
Use cases

Start from the question you already have.

The questions HR asks every week, grouped the way HR works. Pick an area to see what IntRpret answers in it, and which part of the platform does the work.

Retention

Who is leaving, when, and why.

  • “Who is at risk of leaving voluntarily in the next six months, and why?”

    • Forecasts & predictions
    • Workforce Intelligence
    Ask this in a demo

  • “How many new joiners leave in their first year, by team?”

    • AI analyst
    • Decision Intelligence
    Ask this in a demo

  • “How long do people stay before they leave, by role?”

    • Forecasts & predictions
    Ask this in a demo

  • “Where will attrition be next quarter?”

    • Forecasts & predictions
    • Decision Intelligence
    Ask this in a demo
The suites

Three suites, one platform.

Start with the suite that fits the question. They share one data model, one graph and one analyst, so a dashboard, a KPI and a plan about the same people always agree.

The common data model

Every HR system, one common language.

Workday, Keka, SAP SuccessFactors — each names the same things differently. IntRpret's common data model connects them, unifies them and speaks one language across them, with the analytical layer already built on top.

  1. 01ConnectsAny HRIS or HRMS, several at once — through its API, or at the data layer when it has none.
  2. 02UnifiesOne employee, one job, one organisation and one meaning for every event, whichever system it came from.
  3. 03Prebuilt analytical layerKPIs on events and dates, a feature catalogue and dated pay and events — ready, so no team has to build them.
Explore the common data model
Common data model · one language3 systems
IntRpret CDMWorkdayKekaSuccessFactors
EmployeeWorkerEmployeeEmployee
OrganizationSupervisory orgDepartmentDepartment
JobJob profileJob titleJob classification
PayCompensationSalaryCompensation info
Exit eventTerminationExitTermination
The analytical layer, prebuiltKPIs on events and datesFeature catalogueDated historyOne HR event catalogue
Illustrative mapping
How data moves

From the systems you run to the decision you make.

Your systems are mapped once into the common data model. IntRpret's AI agents plan the work, run it on the model and check every figure — and the suites deliver the result.

Your systems
  • HRISPeople, jobs, org units
  • PayrollPay and pay cycles
  • RecruitingCandidates and offers
  • Data layerDatabases and warehouses
IntRpretOne platform
CDMCommon data modelEvery HRIS and HRMS in one language, with the analytical layer prebuilt
IntRpret AI Agents
Where answers go
  • Business IntelligenceDashboards and reports
  • Decision IntelligenceBuild, watch, diagnose KPIs
  • Workforce IntelligencePlans and successors
Deploy where people work

Ask IntRpret where you already work.

The same answers, with the same working, in Microsoft Copilot, Microsoft Teams, Slack and any MCP client — or in IntRpret itself.

  • Microsoft CopilotAsk from Copilot
  • Microsoft TeamsAsk in a chat or a channel
  • SlackAsk in any channel
  • Claude · MCPUse IntRpret's tools from any MCP client
  • IntRpretOn the web, with every suite
HR use cases in the catalogue, from attrition risk to pay equity
150
HR use cases in the catalogue, from attrition risk to pay equity
of an organisation's KPIs already in the KPI catalogue
~90%
of an organisation's KPIs already in the KPI catalogue
HR signals out of the box, from attendance and pay to performance and skills
500+
HR signals out of the box, from attendance and pay to performance and skills
Governed by design

Trust every number, and who saw it.

  • Your organisation onlyEvery graph query is bound to your organisation; one it cannot bind is refused.
  • Shown its workingEvery figure opens to its definition, query and records.
  • RolesSensitive actions — names on risk lists, record downloads, KPI changes — are for admins.
  • ExpiringChats are forgotten after 30 days; shared chats when you say.
How IntRpret protects people data

Your next people decision, with the why attached.

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