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Twenty AI employees
Every one governed,
every one accountable.

AI employees work best on repetitive, rules-based, research-heavy and workflow-driven processes — with clear governance, escalation paths and human review. Each profile below defines exactly what the role does, who oversees it, where it fits, what it connects to and what value to expect. Open any drawer.

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ChatGPTChatGPT
ClaudeClaude
Google GeminiGoogle Gemini
Perplexity AIPerplexity AI
Microsoft CopilotMicrosoft Copilot
DeepSeekDeepSeek
GrokGrok
Mistral AIMistral AI
AI RecruiterTalent Acquisition
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What it doesSources, screens and shortlists candidates against role criteria; drafts outreach and schedules interviews across high-volume requisitions.
Human oversight modelRecruiter approval before any candidate submission; no automated rejection without human review; bias monitoring and audit trail on every screening decision.
Best-fit use casesHigh-volume technical hiring, GCC ramp-ups, pipeline building for rare skills.
IntegrationsATS platforms, job boards, CRM, calendar and email systems.
Expected valueFaster shortlists, wider sourcing coverage and consistent screening quality across every requisition.
AI Sales Development RepresentativeRevenue Operations
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What it doesResearches accounts, builds prospect lists, drafts personalised outreach and qualifies inbound interest before handover.
Human oversight modelSales approval gates on all outbound messaging; humans own calls, negotiation and relationships end to end.
Best-fit use casesPipeline generation, account research, CRM hygiene and follow-up discipline at scale.
IntegrationsCRM, email, LinkedIn workflows and data-enrichment tools.
Expected valueMore qualified conversations per rep and a lower cost per opportunity.
AI Customer Support AgentCustomer Operations
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What it doesResolves routine queries, drafts responses, triages tickets and maintains knowledge articles across support channels.
Human oversight modelEscalation paths for complex or sensitive cases; quality sampling and audit review of resolved tickets.
Best-fit use casesTier-1 support volume, after-hours coverage and multilingual response drafting.
IntegrationsHelpdesk, CRM, knowledge base and chat channels.
Expected valueFaster first response, consistent quality, human agents focused on complex cases.
AI Finance AnalystFinance Operations
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What it doesRuns reconciliations, variance analysis, report preparation, invoice matching and data validation on defined cycles.
Human oversight modelFinance sign-off on all outputs; exceptions routed to human review with a full audit trail.
Best-fit use casesMonth-end close support, AP/AR operations and management reporting packs.
IntegrationsERP, accounting platforms, spreadsheets and BI tools.
Expected valueShorter close cycles, fewer manual errors, analyst time redirected to judgement work.
AI IT Service Desk AgentIT Operations
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What it doesHandles password resets, access requests, routine incidents and ticket categorisation around the clock.
Human oversight modelRole-based access control; privileged actions require human approval before execution.
Best-fit use casesHigh-volume L1 support, 24×7 coverage and service catalogue automation.
IntegrationsITSM platforms (ServiceNow, Jira), identity systems and monitoring tools.
Expected valueLower ticket backlog, faster resolution and engineers freed for L2/L3 work.
AI Compliance AnalystRisk & Compliance
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What it doesMonitors policy adherence, prepares audit documentation, tracks regulatory tasks and flags anomalies for review.
Human oversight modelCompliance officers own all determinations — the AI prepares, humans decide.
Best-fit use casesRegulated industries, audit preparation and controls-testing support.
IntegrationsGRC platforms, document repositories and workflow tools.
Expected valueAudit-ready documentation, earlier flagging and reduced manual review burden.
AI HR ExecutivePeople Operations
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What it doesAnswers employee policy queries, drafts HR letters and documents, coordinates onboarding checklists and maintains employee records workflows.
Human oversight modelHR business partners approve all employee-facing communications; sensitive cases (grievances, ER matters) route directly to humans.
Best-fit use casesHR shared services, onboarding at scale, policy Q&A and document administration.
IntegrationsHRIS (Workday, SuccessFactors), document management, e-signature and ticketing systems.
Expected valueFaster employee response times and HR professionals focused on judgement-heavy people work.
AI AccountantFinance Operations
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What it doesProcesses journals, codes transactions, matches invoices to POs and receipts, and prepares supporting schedules for review.
Human oversight modelQualified accountants review and post all entries; materiality thresholds trigger mandatory human approval.
Best-fit use casesTransaction-heavy AP/AR environments, multi-entity bookkeeping and close preparation.
IntegrationsERP and accounting platforms, banking feeds, expense tools and document capture.
Expected valueHigher transaction throughput with cleaner coding and fewer late-close surprises.
AI Procurement AssistantProcurement
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What it doesPrepares purchase requisitions, checks policy compliance, tracks approvals, chases supplier confirmations and maintains catalogue data.
Human oversight modelProcurement owners approve all commitments; spend above thresholds always requires human sign-off.
Best-fit use casesTail-spend administration, requisition-to-PO processing and supplier follow-up discipline.
IntegrationsERP procurement modules, Ariba/Coupa, supplier portals and contract repositories.
Expected valueShorter requisition cycles, stronger policy adherence and category managers freed for negotiation.
AI Data AnalystData & Analytics
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What it doesRuns recurring reports, monitors KPIs, drafts commentary on movements, validates data quality and answers ad-hoc data questions.
Human oversight modelAnalysts verify methodology and sign off insights before distribution; anomalies flagged for human interpretation.
Best-fit use casesRecurring management reporting, KPI monitoring and first-pass exploratory analysis.
IntegrationsData warehouses, BI platforms (Power BI, Tableau), spreadsheets and SQL environments.
Expected valueReporting cadence maintained without analyst burnout, and faster answers to routine data questions.
AI Research AnalystStrategy & Insight
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What it doesConducts market, competitor and account research; synthesises sources into structured briefs with references for verification.
Human oversight modelResearchers validate sources and conclusions before any brief informs a decision; confidence levels stated explicitly.
Best-fit use casesDeal research, market-entry scans, competitive monitoring and RFP intelligence.
IntegrationsWeb research tools, document repositories, CRM and knowledge bases.
Expected valueResearch depth previously reserved for major decisions, available for everyday ones.
AI Marketing AssistantMarketing Operations
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What it doesDrafts campaign copy variants, maintains content calendars, prepares performance summaries and manages asset libraries.
Human oversight modelMarketing owns brand voice — nothing publishes without human approval; brand and claims checks on every asset.
Best-fit use casesContent operations at scale, campaign administration and reporting cadence.
IntegrationsMarketing automation platforms, CMS, social scheduling and analytics tools.
Expected valueMore campaign throughput per marketer with consistent brand discipline.
AI Operations CoordinatorBusiness Operations
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What it doesTracks task queues, chases open actions, updates trackers, prepares status summaries and keeps operational workflows moving.
Human oversight modelOperations leads set priorities and resolve conflicts; the coordinator reports, escalates and never overrides human decisions.
Best-fit use casesMulti-team coordination, SLA tracking and operational reporting rhythms.
IntegrationsProject tools (Jira, Asana), spreadsheets, chat platforms and workflow systems.
Expected valueNothing falls through the cracks — follow-up discipline without the follow-up meetings.
AI Executive AssistantExecutive Support
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What it doesManages calendar coordination, drafts correspondence, prepares meeting briefs and agendas, and tracks executive action items.
Human oversight modelThe executive (or their human EA) approves external communications and commitments; confidentiality boundaries strictly configured.
Best-fit use casesMeeting-heavy leadership calendars, pre-read preparation and correspondence triage.
IntegrationsEmail, calendar, document platforms and travel/expense tools.
Expected valueExecutive time reclaimed from administration and every meeting entered prepared.
AI Business AnalystTransformation
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What it doesDrafts requirements documentation, process maps and user stories from stakeholder inputs; maintains traceability matrices.
Human oversight modelSenior BAs validate requirements with stakeholders before sign-off; the AI accelerates documentation, humans own understanding.
Best-fit use casesLarge programmes with heavy documentation loads, backlog refinement and process discovery support.
IntegrationsJira, Confluence, process-mining outputs and document repositories.
Expected valueDocumentation that keeps pace with delivery instead of trailing it.
AI QA AnalystQuality Engineering
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What it doesGenerates test cases from requirements, executes regression checks, logs defects with reproduction steps and maintains test documentation.
Human oversight modelQA leads own test strategy and release decisions; exploratory and judgement-based testing remains human.
Best-fit use casesRegression-heavy release cycles, test documentation upkeep and defect triage support.
IntegrationsTest management tools, CI/CD pipelines, Jira and automation frameworks.
Expected valueBroader regression coverage per cycle without expanding the QA headcount line.
AI Documentation SpecialistKnowledge Operations
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What it doesCreates and maintains SOPs, runbooks, knowledge articles and process documentation; keeps versions current as processes change.
Human oversight modelProcess owners review and approve all published documentation; changes tracked with full version history.
Best-fit use casesKnowledge-base builds, GCC process documentation and audit-readiness programmes.
IntegrationsWikis (Confluence, SharePoint), document management and ITSM knowledge modules.
Expected valueDocumentation that is actually current — the foundation of every transfer and every audit.
AI Lead Generation AgentRevenue Operations
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What it doesIdentifies prospects matching ideal customer profiles, enriches contact data, scores fit and maintains clean lead lists.
Human oversight modelSales defines targeting criteria and approves list quality; outreach itself follows the approval gates of the AI SDR model.
Best-fit use casesTerritory build-outs, event follow-up processing and continuous pipeline sourcing.
IntegrationsCRM, enrichment providers, intent-data tools and marketing automation.
Expected valueA consistently full top of funnel without list-building consuming selling time.
AI Vendor Management AgentProcurement & IT
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What it doesTracks vendor contracts, renewal dates and SLA performance; prepares vendor scorecards and flags expiring agreements early.
Human oversight modelVendor owners make all commercial decisions; the agent surfaces evidence and deadlines, never negotiates.
Best-fit use casesSprawling vendor estates, renewal management and SLA compliance tracking.
IntegrationsContract repositories, ERP, ITSM and spend-analytics tools.
Expected valueNo surprise auto-renewals and negotiation leverage built from evidence, not memory.
AI Candidate Engagement AgentTalent Acquisition
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What it doesKeeps candidates informed through the hiring process — status updates, interview logistics, document collection and pre-boarding communication.
Human oversight modelRecruiters approve communication templates and handle all sensitive conversations; candidates can always reach a human.
Best-fit use casesHigh-volume hiring funnels, GCC ramp-ups and offer-to-join engagement where drop-off is costly.
IntegrationsATS, email/SMS/WhatsApp channels, calendar and e-signature tools.
Expected valueLower candidate drop-off and a hiring experience that reflects well on your brand.

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