Battery Point Research / AI Playbooks

People & HR

A new employee starts on Monday.

An agent can connect the HR record, onboarding checklist and calendars, send the right forms, arrange introductions and follow up on missing items. HR handles sensitive questions; managers approve role and access requirements.

Illustrative workflow; requires connected systems and agreed permissions.

What the agent does — and what your team does

WorkTraditional / current modelAI-enabled modelPeople impact
RecruitingATS plus recruiter or manager handles sourcing, screening, scheduling, and coordination.AI sources, prioritizes, communicates, schedules, and prepares candidate information.Recruiting coordination falls substantially.
OnboardingHR or payroll platform manages forms, checklists, and documents.AI guides employees, answers questions, monitors completion, and escalates exceptions.Keep sensitive employee records permissioned and route employment decisions to HR.Less office and administrative involvement.
Employee questionsManager, office staff, HR, or outside vendor answers questions.AI answers directly from payroll, benefits, policies, and employee information.Routine interruptions fall sharply.
DocumentationManagers and administrators draft and maintain records.AI drafts, summarizes, classifies, and updates documentation.Administrative burden falls.
Payroll / benefitsPlatform handles transactions while humans handle questions and exceptions.AI handles more employee interaction, monitoring, and routine exceptions.Human work moves further toward exceptions.
Performance processManagers complete forms, reviews, goals, and follow-up manually.AI assembles history, drafts reviews, tracks goals, and manages reminders.Process administration falls.
Workforce reportingOwner or manager reviews dashboards and periodic reports.AI interprets staffing, turnover, attendance, recruiting, and compensation trends.More insight without dedicated analyst headcount.
ComplianceHR, payroll provider, manager, or outside adviser monitors requirements.AI continuously monitors policies, records, deadlines, and potential exceptions.Routine monitoring falls; sensitive decisions remain human-led.

What is already automated — and what does AI add?

ActivityCurrent stateWhat AI adds nowLikely next 2–4 quarters
Interview schedulingAlready automated in many systemsNatural coordination across candidates, managers, calendars, and changing availabilityLargely autonomous
Candidate sourcingAI-assisted in many firmsBetter targeting, ranking, research, and personalized candidate outreachMore autonomous
Resume screeningAI-assisted or automated in some systemsContextual screening, prioritization, and comparison against actual role requirementsGreater automation with oversight
Candidate communicationTemplated and automated in many recruiting systemsPersonalized responses, follow-up, scheduling, and status communicationIncreasingly autonomous
Onboarding paperworkWorkflow automation already commonConversational guidance, completion monitoring, automatic follow-up, and exception detectionMostly background automation
Policy / benefits questionsEmployee self-service already commonContextual answers using policies, benefits information, and employee-specific dataAI becomes first-line interface
Employee record updatesPartially automatedInterprets employee requests and updates appropriate systems directlyBackground automation
Payroll / benefits administrationHighly system-driven alreadyEmployee support, anomaly detection, first-line exception resolution, and cross-system coordinationMore exception-driven
Training administrationScheduling and reminders often automatedPersonalized learning recommendations, content support, and completion monitoringMore individualized and autonomous
Performance-review preparationAI-assisted in some systemsPulls goals, prior feedback, performance history, and supporting information into first draftsStandard AI support
Workforce reportingDashboards already commonExplains turnover, attendance, hiring, compensation, and staffing patterns rather than merely displaying themContinuous AI interpretation
Compliance remindersOften system-drivenMore proactive monitoring, policy interpretation, and exception identificationContinuous monitoring
Hiring judgmentHuman-ledStructured comparisons, better evidence, research, and interview preparationHuman remains accountable
Performance decisionsHuman-ledBetter documentation, history, analysis, and consistencyHuman remains accountable
Conflict / terminationHuman-ledDocumentation, policy research, chronology, and decision supportHuman-led near-term

HR is not starting from zero. The administrative layer is already heavily software-driven; AI increasingly makes that software conversational, proactive, and autonomous.

What happens to the people?

Administrative HR work shrinks first. Retained people increasingly oversee systems and concentrate on the employment decisions where judgment, trust, and accountability matter.

Work that can disappear

  • interview scheduling
  • onboarding administration
  • routine employee questions
  • record maintenance
  • training coordination
  • routine workforce reporting
  • routine candidate communication

Roles shift toward oversight

  • office manager
  • payroll / benefits administrator
  • HR generalist
  • recruiting coordinator
  • department managers

Redeploy talent toward

  • hiring judgment
  • coaching
  • retention
  • conflict resolution
  • workforce planning
  • leadership development
  • sensitive compliance issues
  • difficult employee decisions

What the recorded work can reveal

Linking each request, action and outcome makes these questions easier to answer:

  • Which onboarding steps most often miss the start date?
  • Which employee questions keep recurring because the guidance is unclear?
  • Where do handoffs between HR, managers and IT delay someone’s ability to work?