ZIRH.AI helps regulated and complex enterprises move agentic AI from isolated experiments to controlled, audit-ready production workflows — tailored to the realities of each industry.
Controlled banking advantage across customer, risk and compliance operations.
Explore →Agents across growth, service and network operations.
Explore →Claims, underwriting and policy operations at scale.
Explore →Accountable, controlled public service delivery.
Explore →Portfolio-wide AI performance discipline.
Explore →Secure AI for asset-intensive, regulated operations.
Explore →Controlled growth and operational execution.
Explore →Demand, trade and supply execution.
Explore →Banks are under pressure to personalize engagement, resolve service issues faster, reduce operating cost and maintain stronger regulatory control. AI agents improve decision speed and operating leverage, but unmanaged autonomy creates exposure across customer data, system access, credit processes, fraud workflows and regulatory obligations. ZIRH.AI gives banks a security-first path to scale AI agents with clear ownership, permission boundaries, workflow orchestration, runtime visibility and audit-ready evidence.
Agentic workflows for campaign planning, customer retention, card usage growth, next-best-action and portfolio decision support.
AI-assisted complaint classification, service recovery, call center support, response recommendation and root-cause insight.
Controlled drafting, evidence gathering and review support for compliance, internal audit and regulatory teams.
Permission-aware retrieval across procedures, product documents, customer context, pricing rules and internal policies.
Agent-assisted documentation review, onboarding support, credit decision support, fraud investigation and human approval routing.
Identify where agents create measurable banking value with acceptable operational, data and regulatory risk.
Define what each agent can access, retrieve, recommend, draft, trigger or escalate across sensitive banking systems.
Create approval gates, exception paths, escalation logic and audit checkpoints for high-impact workflows.
Track live behavior, detect risky actions, maintain audit evidence and scale validated workflows across the bank.
Readiness, prioritization, inventory, risk scoring and ownership.
Identity, permissions, system access, knowledge access and workflow routing.
Runtime control, sensitive data protection, observability, incidents and audit evidence.
Telecom operators compete on commercial agility, customer experience, service continuity and network reliability. AI agents improve retention, resolution speed, network operations and workforce productivity, but introduce risk when they interact with customer data, billing platforms, network documentation, tickets and operational systems. ZIRH.AI helps operators move from isolated pilots to controlled agentic workflows without losing visibility or control.
Agentic decision support for retention triggers, offer logic, segment prioritization, campaign execution and ARPU uplift.
Automated classification, routing logic, response recommendation, root-cause insight and service recovery support.
Incident summarization, troubleshooting recommendation, escalation support and evidence capture for network operations teams.
Agent-assisted proposal drafting, solution configuration, contract information retrieval and approval routing.
Agent-assisted impact assessment, dependency review, risk flagging and human approval routing for technical change processes.
Identify where agents improve revenue, resolution speed, network performance, service continuity or operating efficiency.
Set permissions across CRM, billing, ticketing, network documentation, APIs, knowledge bases and workflow platforms.
Design handoffs across customer care, field service, network operations, IT, security and business teams.
Track runtime behavior, service outcomes, incidents, quality, cost and improvement opportunities.
Use-case prioritization, exposure mapping, risk classification and ownership.
System access, knowledge retrieval, workflow routing and human approval paths.
Runtime control, customer data exposure prevention, incident tracking and observability.
Insurance is built on trust, risk selection, claims discipline and customer confidence. AI agents improve productivity across claims, underwriting, policy operations and fraud investigation, but unmanaged autonomy can create exposure in eligibility, pricing, claims outcomes and customer communication. ZIRH.AI helps insurers design secure, explainable and controlled agentic workflows that improve operational speed while preserving accountability.
AI-assisted claim classification, missing information detection, next-step recommendation and customer response support.
Permission-aware retrieval across underwriting manuals, product rules, risk appetite documents and exception policies.
Agentic workflows for renewal risk signals, customer retention actions, policy context retrieval and advisor support.
Case summarization, anomaly review, evidence gathering, investigation checklist support and escalation recommendation.
Controlled drafting and interpretation support for compliance, legal, audit and risk teams.
Identify the highest-impact workflows across claims, underwriting, service, distribution, fraud and compliance.
Define how agents interact with policy data, claims records, fraud signals, customer communication and approval flows.
Create human-agent-system flows for triage, review, escalation, exception handling and decision support.
Track agent behavior, control outcomes, incidents, approvals, validation results and compliance evidence.
Readiness, use-case prioritization, agent inventory, risk scoring and ownership.
Policy system access, claims data access, knowledge retrieval and workflow routing.
Sensitive data controls, runtime monitoring, misuse validation and audit evidence.
Public institutions must improve service speed and administrative efficiency while maintaining transparency, fairness, accountability, data protection and public trust. AI agents reduce workload and improve citizen-facing and internal workflows, but public sector adoption requires human control, defensible decisions and clear evidence. ZIRH.AI helps agencies apply agentic AI where it matters most.
AI-assisted classification, routing and response preparation for high-volume citizen requests and complaints.
Agent-assisted pre-checks, document completeness review, eligibility guidance and human review routing.
Internal assistant for employees to find procedures, policy rules, service standards and process steps quickly.
Controlled summarization of long policy documents, reports, applications, correspondence and management materials.
Evidence gathering, controlled drafting and review support for regulatory, reporting and audit documentation.
Identify where agents improve citizen impact, workload reduction, consistency and service speed.
Set access boundaries, approval rules, escalation points and review responsibilities for sensitive workflows.
Enable controlled use of procedures, policy documents, case records, repositories and service workflows.
Track activity, exceptions, risky outputs, human reviews and evidence for governance and audit teams.
Readiness assessment, workflow prioritization, risk classification and accountability.
Controlled access to documents, case systems, policy repositories and approval paths.
Runtime monitoring, risky output control, data exposure prevention and audit evidence.
Holdings and conglomerates face a portfolio challenge across different companies, sectors, operating models and technology stacks. The opportunity is to identify repeatable value patterns, scale them across the group and preserve local accountability. ZIRH.AI helps group leadership turn agentic AI into a management discipline: common standards, reusable workflow patterns, executive visibility and structured evidence.
Agent-assisted performance review, variance explanation, management reporting and executive briefing support.
AI-supported identification of growth pockets, customer opportunities, margin levers and cross-portfolio commercial synergies.
Complaint root-cause intelligence, service quality insight and data analytics across portfolio companies.
Controlled drafting, summarization and evidence gathering for board packs, executive updates and strategic reviews.
Structured evidence gathering, control mapping, issue tracking and audit preparation across portfolio companies.
Identify common agentic AI patterns across portfolio companies, shared functions and business units.
Rank opportunities by value, repeatability, sector relevance, execution feasibility and group-level risk.
Define ownership, governance forums, control standards, escalation paths and reporting cadence.
Create workflow templates, KPI dashboards, evidence packs and improvement backlogs for wider rollout.
Portfolio visibility, use-case prioritization, risk classification and ownership.
Standardized access, knowledge retrieval, workflow routing and reusable agent patterns.
Monitoring, runtime control, control validation and group-level evidence.
Energy and infrastructure companies operate in asset-intensive, safety-critical and highly regulated environments. AI agents improve technical knowledge work, maintenance planning, incident response and compliance evidence — but only when access, outputs and actions are controlled with operational discipline. ZIRH.AI helps operations, engineering, compliance and management teams deploy agentic workflows that improve speed and resilience without compromising safety, reliability or accountability.
Permission-aware search and summarization across manuals, procedures, engineering documents, asset records and compliance materials.
Agent-assisted retrieval of maintenance history, recurring issue patterns, troubleshooting guidance and recommended next steps.
Incident summarization, evidence gathering, root-cause support, escalation recommendation and response documentation.
Agent-assisted assessment of operational, technical, safety and compliance risks before planned changes.
Structured evidence gathering and documentation support for safety requirements, regulatory submissions and audit preparation.
Identify where agents improve uptime, safety, service continuity, compliance and operational decision speed.
Set how agents use technical documents, maintenance records, asset data, vendor information and compliance materials.
Design human-agent-system flows for incidents, changes, approvals, permits and escalation processes.
Track activity, risky outputs, incidents, human reviews, operational signals and evidence for expansion.
Operational readiness, workflow prioritization, risk classification and ownership.
Controlled access to technical documents, maintenance data, approved systems and human review paths.
Runtime control, incident monitoring, sensitive data protection and evidence management.
Retailers are moving into an agentic commerce environment where product discovery, promotion, pricing and service decisions are increasingly shaped by AI-mediated journeys. AI agents help retailers act faster across merchandising, marketing, customer operations and supply chain execution. ZIRH.AI ensures those agents operate with clear permissions, controlled data access, human approval and runtime observability.
Agentic workflows for customer segmentation, offer design, loyalty triggers, recommendation logic and campaign follow-up.
AI-assisted analysis of assortment, promotion performance, margin impact, cannibalization and customer response signals.
Agent-assisted task routing, issue triage, store procedure navigation, service recovery and operational exception handling.
Agentic support for stockout detection, inventory movement review, replenishment signals and channel-level availability checks.
AI-assisted request classification, response recommendation, returns guidance, escalation routing and root-cause tagging.
Identify where agents improve conversion, loyalty, service resolution, store productivity and inventory outcomes.
Set how agents use CRM, loyalty, order, inventory, pricing, product and store operations data.
Design workflows across marketing, store teams, customer service, merchandising, supply chain and digital operations.
Track agent actions, campaign outcomes, service exceptions, inventory signals, approval history and performance.
Use-case prioritization, customer-data risk scoring, agent ownership and adoption visibility.
Controlled access to CRM, loyalty, product, order, inventory and store systems.
Runtime monitoring, sensitive data protection, action control, incidents and evidence.
FMCG companies operate in a high-velocity environment where demand shifts quickly, retail execution matters, margins are under pressure and supply chain resilience is critical. The challenge is control — agents may interact with commercial plans, pricing logic, retailer agreements, inventory data, supplier information and market signals. ZIRH.AI helps FMCG organizations scale agentic AI with permission boundaries, workflow orchestration, runtime monitoring and evidence.
Agent-assisted review of demand shifts, stock risk, replenishment signals, supply constraints and planning exceptions.
AI-assisted evaluation of promotion lift, cannibalization, margin impact, timing, retailer performance and post-event learning.
Agentic support for account plans, retailer negotiation preparation, category insights, price-pack architecture and performance reviews.
Agent-assisted store visit preparation, execution issue capture, out-of-stock insight, shelf visibility and follow-up action routing.
Incident summarization, supplier issue tracking, transportation exception review and escalation support for supply operations.
Identify where agents improve forecast responsiveness, trade ROI, retailer execution, margin protection and supply reliability.
Set how agents use sell-in, sell-out, inventory, pricing, promotion, supplier, logistics and market data.
Design human-agent-system flows across demand planning, sales, category, supply chain, finance and field operations.
Track agent recommendations, approval outcomes, commercial impact, supply exceptions, quality signals and improvement actions.
Opportunity prioritization, commercial risk scoring, ownership and portfolio visibility.
Controlled access to sales, demand, promotion, retailer, inventory and supplier data.
Runtime monitoring, sensitive commercial data protection, incident tracking and decision evidence.
Book a session and we'll map the highest-value agentic workflows for your sector — and the controls to run them in production.