Explore practical ways AI agents can help HR, finance, IT, procurement, commercial, legal and executive teams work with their own knowledge and systems.
These are illustrative scenarios, not customer case studies. Each requires agreed knowledge sources, system integrations, permissions and a responsible human owner. The best first use case has enough volume to measure and a narrow enough scope to evaluate well.
An onboarding agent is connected to the employee handbook, onboarding checklists and department guides. It answers questions with citations, provides personalised checklists by role, and schedules reminders for outstanding onboarding tasks using the scheduler. HR owns onboarding content; any change to employee records is outside the agent's scope unless explicitly authorised.
A policy agent retrieves relevant policy sections using hybrid search, answers in plain language and cites the clause. Questions outside policy or involving individual circumstances are escalated to HR. HR approves the policy knowledge set and reviews flagged or escalated questions.
With HRIS integration, the agent retrieves the authenticated employee's own leave balance and benefits details through a registered API, and explains the relevant policy. It can prepare a leave request for the employee to submit. Leave requests are submitted by the employee and approved by the line manager in the HR system.
The agent drafts job descriptions from role templates, summarises CVs against stated criteria for recruiter review, drafts interview invitations and coordinates scheduling through calendar integration. Recruiters make all screening and selection decisions; summaries are decision support only.
The agent collects the request details, prepares the letter from the approved template using HRIS data, and submits it to HR for approval and signature. HR approves and signs every document before release.
The agent answers what it can from knowledge, classifies the rest, creates a case with a summary in the HR case system and routes it to the right team. Payroll and HR resolve cases; the agent does not change pay data.
The agent reads incoming invoices, extracts key fields, checks them against the purchase order and goods-receipt data retrieved from the ERP, flags mismatches and prepares the entry for AP review. AP staff approve postings and payments; payment release is never automated by the agent.
A scheduled agent retrieves approved figures through database queries or reports, prepares variance tables using data-analysis tools and drafts commentary for the controller. Controllers review all figures and commentary before release.
The agent checks claims and receipts against the expense policy, flags items outside policy and summarises the claim for the approver. Managers and finance approve or reject claims.
The agent compares records from the authorised sources, proposes matches, and lists unmatched items with suggested explanations for accountant review. Accountants confirm matches and post adjustments.
The agent answers natural-language questions over approved datasets, produces tables and charts, and explains the source of each figure. Finance validates figures before they are used in formal reporting.
The agent retrieves and explains relevant provisions with citations, and compares terms across documents. Policy owners maintain the knowledge set and resolve ambiguity.
A help-desk agent answers from the IT knowledge base, guides users step by step and creates a ticket when the issue cannot be resolved. Agents escalate unresolved issues to service-desk staff.
Using graph-based retrieval over incident history and runbooks, the agent summarises similar past incidents, relevant runbook steps and likely owners. Engineers decide and execute remediation.
Engineers query a unified knowledge layer across wikis, document stores and databases. Standards owners maintain the source content.
The agent provides personalised guidance and can prepare standard access requests. Access approvals follow existing approval chains.
The agent classifies new tickets by type, suggests priority and owner based on historical patterns, and updates the ticket through the registered API. Service-desk leads review classification accuracy and override when needed.
For pre-approved standard requests, the agent collects details, checks eligibility and executes the request through a registered tool or creates a fulfilment task. Only pre-approved request types are automated; others route for approval.
The agent retrieves supplier records and documents and summarises status, certifications and contract coverage. Procurement validates supplier eligibility.
The agent guides requesters through required fields, checks thresholds and policy, and prepares the request for submission and approval. Approvals follow the delegation-of-authority matrix.
The agent extracts key elements from vendor submissions and produces a comparison table against the requirements. Evaluation committees make all award decisions.
The agent extracts specified clauses into a structured summary and can schedule renewal reminders. Contract owners verify extracted terms.
The agent explains the applicable method, thresholds and documentation with citations. Procurement owns the policy knowledge set.
The agent analyses the customer's requirements, retrieves approved content from past proposals and product documentation, and drafts a structured response and compliance matrix. Sales and bid managers review, edit and approve all submissions.
A customer-facing agent (web widget or messaging) answers from approved product and service knowledge; staff can take over the conversation at any point, pausing AI responses. Human takeover available; commitments made only by staff.
The agent drafts copy aligned to brand guidelines (using brand and persona knowledge) and can generate image and video assets through supported media providers for review. Marketing approves all published content.
The agent summarises account history, drafts follow-up emails and prepares CRM updates for the salesperson to confirm. Salesperson confirms updates and sends emails.
The agent gathers information from approved sources (including web browsing, where permitted) and prepares cited briefings. Analysts verify sources before circulation.
The agent compares a draft contract with the organisation's playbook and standard clauses, highlights deviations and drafts suggested comments for lawyer review. Lawyers make all legal judgements and approve redlines.
The agent searches registered policies and regulations using multi-hop retrieval and returns cited excerpts. Compliance verifies currency and applicability.
The agent compares versions and summarises substantive differences. Lawyers verify the comparison.
A compliance agent answers with citations from registered policies and organises required evidence lists for reviews. Compliance makes final determinations.
A workflow receives the request, checks whether the document matches the approved template, routes standard cases to the appropriate approver and non-standard cases to legal, with a summary. Approval steps are mandatory in the workflow.
The agent compiles background from approved internal documents, previous meeting notes and public information (where permitted) into a structured briefing with sources. Executive office reviews before circulation.
A scheduled agent summarises key metrics and notable changes each week with explanations and links to source reports. Data owners validate metric definitions.
The agent conducts multi-step research with cited sources and produces a structured summary. Strategy teams validate conclusions.
Within the executive's authorised scope, the agent retrieves information across HR, finance, procurement and operations knowledge sets. Data owners define what executives may access through the agent.
The agent drafts decision papers in the organisation's template, structuring options, evidence, risks and recommendations, with citations. Executives and their teams own the recommendation and decision.
Agree the source evidence, integration scope, human approval requirements and baseline before the trial. Measure quality and turnaround together; a fast answer is useful only when it is relevant and appropriately controlled.
NARU AI is delivered using AICLUDE Agent OS (A2OS) and related products developed by AICLUDE, Inc. NARU provides local solution design, integration and delivery.
NARU AI is delivered using the AICLUDE Agent OS (A2OS) and related products developed by AICLUDE, Inc., Republic of Korea. Technology attribution
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