October
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October
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Not a feature bolted on. The engine.

AI isn't a separate module. It's the intelligence layer woven through the entire platform. Every module in October People is enhanced by it, turning people data into continuous, actionable insight without extra effort, inside governed workflows with human oversight.

Request a demo See what's inside
October AIAsk the recordReads every module · answers with evidence · a person decides
Governed · human oversight
Who in Engineering is at risk of leaving this quarter, and what should we do?
October AIThree people show elevated risk. Each signal comes from the record, and each action is one click.
  • Sipho D.No 1:1 in 6 weeks · missed merit · suggest a stay interview this week
  • Lena K.Engagement down 2 pulses · declined 2 internal roles · suggest a career coach session
  • Raj P.Pay at 0.82 of market · suggest a benchmark review in the merit cycle
Book stay interviewsOpen benchmark reviewNotify manager
9+named AI capabilities across the platform
84%of nudges actioned within 3 days
0customer data used to train models
No customer data used to train modelsUpdated just now
Nudges this weekSent to managers · inside the workflow
  • Overdue 1:1s · Thabo K.3 direct reports · last meeting 5 weeks agoPrep ready
  • Recognition gap · Sam A.Nobody has recognised Sam in 90 daysSuggest a moment
84% of nudges actioned within 3 days
Model registerEvery model · named purpose · published
  • Named purpose per model
  • Human oversight on every decision
  • No customer data in training
  • Governance policy published
Evaluation results published
3×
more likely to improve talent outcomes with AI-driven people analytics
40%
less HR decision-making time
9+
named AI capabilities across the platform
0
customer data used to train models
Why it mattersIndustry research
3×more likely to improve talent outcomes with AI-driven people analytics

And up to 40% less HR decision-making time. AI is the engine that makes everything smarter, and October publishes its model register, governance policy and evaluation results.

Automated intelligenceSignals in · insight, nudge, action out

Not a feature bolted on.
The engine.

Every module writes signal to the record and October AI reads all of it: goals, reviews, recognition, pay position, engagement, leave, learning and hiring. It turns that into insight, a nudge to the right person, and a suggested action, with a human making the call.

PerformanceReviews, goals, 1:1 cadence
SurveysEngagement, sentiment, themes
CompensationCompa-ratio, merit history
RecruitmentCara, screening, verified record
Learning and careersSkills, gaps, goals
Manager nudgesOverdue 1:1s, recognition gaps
Flight riskNamed people, reasons, actions
Career coachA plan for every employee
ForecastsAttrition and scenario impact
October AIreads every module · explains every answer · human decides
Where AI lives

Nine named capabilities.

  • Career coach and 1:1 intelligencePlans and talking points from the record.
  • Cara and AI screeningSourcing, ranking and verified hiring.
  • Manager insight and nudgesRisk, recognition and cadence, in the workflow.
  • Forecasting and pattern detectionAttrition, scenarios, survey themes.
What it removes

Decisions made on gut feel.

Organisations using AI-driven people analytics are 3× more likely to improve talent outcomes and spend up to 40% less time on HR decisions. October replaces the export, the pivot table and the hunch with an answer that cites its evidence.

  • Blind spots
  • Manual reporting
  • Late interventions
  • Unexplained scores
Governed by design

Named purpose. Human oversight.

Every model has a named purpose, access controls and a person accountable for the decision. October publishes its model register, governance policy and evaluation results, and never trains on customer data.

  • Model register
  • Access controls
  • Human oversight
  • 0 customer data in training
Inside AI Powered Insights5 capabilities

AI Powered Insights.
Piece by piece.

Every capability below reads from and writes to the same employee record, so nothing has to be reconciled afterwards.

01 · Nudges & the AI assistant

Proactive manager recommendations.

Timely, contextual nudges: "Schedule a check-in with Sarah." "James hasn't received feedback in 30 days." "Team morale is trending down." Recognition gaps, overdue 1:1s and engagement dips reach managers in time, and an AI assistant answers any question about the platform.

  • Overdue 1:1s and recognition gaps
  • Engagement and morale shifts
  • Workload and meeting load
  • AI assistant on every page
Recognition gaps with the AI assistant
Everything inside11 sub-features

Where AI lives

  • Career coach
  • 1:1 intelligence
  • Manager insight
  • Meeting insights
  • Generate with AI
  • Who to recognise
  • Cara agent
  • AI context for recruiting
  • Personality insights
  • Survey pattern detection
  • Attrition forecasting
AI in this moduleGoverned · named purpose · human oversight

Built into everything.
Not bolted on.

AI Powered Insights helps teams review data, answer questions and follow up across October People. Here is what it does inside AI Powered Insights.

See AI Powered Insights

Governed by design

Named purpose, access controls and human oversight for every model.

Published register

Every model, purpose and control listed in the October model register.

Stand-alone or enhancedWorks alone · better together

Stand-alone.
Or connected.

AI Powered Insights works powerfully on its own. Connect it with the modules below and every workflow starts with the same people, roles, history and evidence.

Grow

Career Coach & Talent

The career coach and manager dashboard live here.

Explore Talent

Recruitment & ATS

Cara sources and screens candidates.

Explore Manage

Surveys & Engagement

Sentiment and pattern detection on engagement data.

Explore
AI Powered Insights · FAQ2 answers

Questions,
answered.

How does AI use employee data?

AI works inside governed workflows with access controls, named purpose and human oversight. Customer data is never used to train models. October publishes its model register, governance policy and evaluation results.

Can we turn specific AI features off?

Yes. Each AI capability can be enabled or disabled per organisation, and outputs are always reviewable by a person before they become a decision.

Start with your organisation

See AI Powered Insights with your data.

Tell us what your team needs. We’ll walk you through the relevant features, support options and how to get started.

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