AI employee services are changing how we build teams and run operations. We use smart tools to automate routine work guide decisions and boost productivity across the employee journey. From hiring to onboarding to daily support we help people move faster with less friction and fewer errors.
We focus on real outcomes not hype. Our approach blends secure data intelligent workflows and human oversight so teams stay agile and compliant. We tailor AI employee services to your goals whether you want to streamline HR tasks improve knowledge access or elevate service quality. Together we turn scattered processes into a connected experience that saves time cuts costs and lifts morale.
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Why work with us?
What Are AI Employee Services

AI employee services use automation and conversational AI to support people across the employee lifecycle. We fold secure machine learning, workflow orchestration, and integrations into day to day tools. We cut busywork, surface answers fast, and keep teams focused.
Core capabilities we deliver
- Automate onboarding, offboarding, and role changes across HRIS, payroll, and IT.
- Centralise knowledge with an AI search layer across policies, SOPs, and tickets.
- Resolve routine requests with chatbots across Slack, Teams, and web portals.
- Triage service desk tickets with routing, summaries, and suggested replies.
- Generate personalized guidance for leave, benefits, and compliance.
- Monitor employee sentiment across channels with privacy-safe analytics.
- Surface insights on workload, skill gaps, and support demand with dashboards.
Where this helps most
- Hiring and onboarding for digital forms, identity checks, and account provisioning.
- HR service delivery for payroll queries, leave balances, and policy questions.
- IT support for password resets, MFA issues, and software access.
- Operations for rostering, scheduling, and shift changes.
- Learning for role based content, micro training, and in the flow support.
- Compliance for policy attestations, audit trails, and evidence capture.
How AGR Technology fits your stack
- Integrate with HRIS platforms, ATS tools, and payroll systems.
- Connect to Microsoft 365, Google Workspace, Slack, and Teams.
- Sync with ITSM platforms, CRMs, and knowledge bases.
- Deploy on cloud, hybrid, or on premises based on your controls.
- Manage access with SSO, SCIM, and granular roles.
Security and privacy we stand by
We design for least privilege, encryption, and guardrails across prompts and outputs. We can align with industry standards and local privacy law. We document data flows and retention, then we log access for audits.
| Framework | Relevance |
|---|---|
| Australian Privacy Principles | Personal data handling and consent |
| GDPR | Lawful processing, data minimization, and DSRs |
| ISO 27001 | Information security management controls |
| SOC 2 | Security, availability, and confidentiality |
Source references: OAIC for APPs, European Commission for GDPR, ISO for ISO 27001, AICPA for SOC 2.
Why teams pick us
- Reduce ticket volume through self service across common requests.
- Improve response quality through context aware answers and guardrails.
- Boost employee experience through fast, human like support.
- Preserve control through transparent governance and human oversight.
Pricing and engagement
We scope a pilot around one or two high impact workflows. We measure time saved, support deflection, and employee feedback. We expand in phases once outcomes meet targets.
- Book a 30 minute consult with AGR Technology.
- Request a tailored demo across your HR and IT workflows.
- Ask about a fixed scope pilot with clear success criteria.
Title: AI Employee Services: Key Benefits and Use Cases
Meta description: See how AGR Technology’s AI employee services cut wait times, reduce costs, and boost employee experience. Book a consult or request a tailored demo.
Key Benefits and Use Cases
AI employee services deliver fast support across HR and IT, without adding headcount. We design, deploy, and govern these services with your tools and data.
| Outcome | Typical range | Function | Source |
|---|---|---|---|
| Ticket deflection | 30–50% | IT service desk | Gartner 2023, ITSM trends (https://www.gartner.com) |
| Time-to-productivity | 25–40% faster | Onboarding | Deloitte 2023, Human Capital (https://www2.deloitte.com) |
| First-contact resolution | 60–80% | Virtual agents | HDI 2023 Support Center (https://www.thinkhdi.com) |
Virtual Onboarding Assistants
We use conversational AI to guide new starters through day one setup.
- Automate account provisioning across Microsoft 365, Slack, HRIS, and ATS.
- Orchestrate tasks across HR, IT, payroll, and facilities with clear checklists.
- Personalize content using role, location, device, and employment type.
- Capture e-signatures for policy acknowledgements and equipment forms.
- Track progress in real time for managers and HR business partners.
Intelligent Help Desk and IT Support
We deploy AI service desks that resolve common requests without queues.
- Deflect tickets with virtual agents that answer “how to” questions and run fixes.
- Connect to knowledge bases and CMDBs using retrieval augmented generation.
- Trigger automations for password resets, VPN issues, and software installs.
- Escalate with clean transcripts, logs, and device data to reduce back-and-forth.
- Monitor sentiment to surface hotspots across devices, apps, and networks.
Automated HR Policy Guidance
We make HR policies easy to find and apply in context.
- Centralize policies, awards, and leave rules with version control.
- Answer employee questions in plain language with sourced citations.
- Localize guidance for AU states and NZ regions across leave and compliance.
- Log interactions for audit across Fair Work, WHS, and privacy obligations.
- Flag anomalies across entitlements and approvals with proactive alerts.
Talent Acquisition and Screening
We streamline sourcing and screening without bias creep.
- Parse CVs, job ads, and selection criteria into structured data.
- Rank candidates against skills, experience, and required checks.
- Draft inclusive job ads that align with your brand voice and compliance.
- Schedule interviews and send updates across email, SMS, and Slack.
- Generate shortlist summaries with transparent rationales and links.
How AI Employee Services Work
Here’s how our AI employee services plug into your stack and operate safely at scale. We make the flow transparent, the outcomes measurable.
Data Sources and Integrations
Data sources connect to a secure orchestration layer across your HR and IT systems. We sync in real time or on schedule.
- Platforms, examples: HRIS, ATS, ITSM, identity, collaboration, document storage, payroll, asset management, learning systems, examples include Workday, BambooHR, Greenhouse, ServiceNow, Okta, Azure AD, Microsoft 365, Slack, Confluence, SharePoint, Xero, SAP SuccessFactors
- Methods, examples: API connectors, webhooks, SSO, SCIM, event buses, secure file exchange, examples include REST, GraphQL, OAuth 2.0, SAML 2.0, SCIM 2.0, SFTP
- Normalization, examples: schema mapping, field validation, deduplication, entity resolution, examples include user profiles, roles, devices, tickets, policies
- Retrieval, examples: enterprise search, vector indexing, RAG pipelines, metadata filters, examples include document embeddings, policy snippets, knowledge base articles
- Automation, examples: workflow runs, form fills, ticket updates, group provisioning, examples include JML flows, device assignments, policy acknowledgements
Models, Guardrails, and Governance
Models drive conversation, reasoning, and task execution across HR and IT scenarios. We combine general and domain models with strict controls.
- Models, examples: large language models, classification models, NER models, policy engines, examples include GPT class, open‑weight LLMs, intent classifiers, entitlement rules
- Orchestration, examples: RAG for policy answers, tools for ticket actions, planners for multi step tasks, examples include search tools, HRIS updaters, ITSM ticket bots
- Safety, examples: PII masking, prompt hardening, toxic content filters, jailbreak resistance, examples align with NIST AI RMF guidance, OAIC privacy guidance
- Security, examples: encryption at rest and in transit, role based access controls, scoped tokens, audit logs, examples align with ISO 27001 and SOC 2 controls
- Privacy, examples: data minimization, redaction, regional data residency, DPIAs, examples align with GDPR and the Australian Privacy Act 1988
- Quality, examples: human in the loop review, evaluation sets, A-B testing, red teaming, examples target high first contact resolution on HR and IT intents
- Operations, examples: monitoring, tracing, rate limits, failover, SLAs, examples include 99.9% service uptime, sub second search latency
We keep humans in control across sensitive decisions, then automate repeatable steps once the policy is proven.
| Control Area | Technique | Typical Target |
|---|---|---|
| Encryption | AES‑256 at rest, TLS 1.2+ in transit | End to end |
| Access | RBAC, SSO, SCIM provisioning | Least privilege |
| Observability | Audit logs, tracing, alerts | 100% admin actions logged |
| Privacy | PII redaction, data minimization | Zero training on client data |
| Performance | Cached RAG, vector search | <800 ms knowledge answers |
Implementation Roadmap
We set a clear path that reduces risk and proves value fast. We align AI employee services with your stack, your policies, and your goals.
Assess Needs and Prioritize Use Cases
- Map current workflows across HR, IT, and Ops, for example onboarding, access requests, and policy queries.
- Quantify bottlenecks with baseline metrics across ticket volume, handle time, first contact resolution, and SLA breach rates.
- Rank use cases by impact and effort using value scorecards across ticket deflection, cycle time, and compliance risk.
- Align integrations across HRIS, ATS, ITSM, Microsoft 365, and Slack to confirm data access and guardrails.
- Confirm privacy and security controls across encryption, role based access, data residency, and audit logging.
- Validate success criteria with stakeholders across HR leaders, ITSM owners, and compliance officers.
Choose Vendors or Build In-House
- Compare sourcing models across build, buy, or hybrid based on talent availability, time to value, and total cost of ownership.
- Standardize evaluation criteria across HRIS integration depth, conversational AI quality, workflow orchestration, and analytics.
- Review safety features across content filtering, PII redaction, access governance, and incident response.
- Validate platform fit across Microsoft 365 and Slack deployments, knowledge base connectors, and API extensibility.
- Test model performance across retrieval augmented generation, multilingual support, and latency under load.
- Confirm compliance posture across ISO 27001, SOC 2, GDPR, and the Australian Privacy Act.
Pilot, Iterate, and Scale
- Launch a contained pilot across one to two journeys, for example onboarding automation and IT password resets.
- Instrument KPIs across ticket deflection, first contact resolution, cycle time, CSAT, and policy adherence.
- Train virtual agents with curated knowledge, example dialogues, and feedback loops from SMEs.
- Automate handoffs across ServiceNow or Jira Service Management for edge cases and human approvals.
- Iterate prompts and policies weekly based on analytics, user feedback, and error reviews.
- Expand coverage across additional workflows once KPIs sustain targets for 4 consecutive weeks.
Security, Privacy, and Compliance
Security, privacy, and compliance anchor every AI employee service we deploy. We design for Australian, US, and EU obligations across HRIS, ITSM, and workplace chat.
Protecting Sensitive Employee Data
We protect employee data by design, across collection, storage, and use.
- Encrypt: Use AES-256 at rest, use TLS 1.2+ in transit, use HSTS on public endpoints
- Control: Enforce SSO with SAML 2.0, enforce SCIM for lifecycle, enforce RBAC and ABAC for least privilege
- Isolate: Segment tenants, segment environments, segment datasets by purpose
- Minimize: Retain the least data, retain for defined periods, retain only approved fields
- Govern: Log every admin action, log data access, log model prompts and outputs
- Redact: Mask PII in prompts, mask secrets in logs, mask chat history by policy
- Detect: Run DLP on uploads, run malware scans, run anomaly alerts on access patterns
- Manage keys: Use KMS, use BYOK or HYOK on request, use periodic key rotation
- Localize: Offer data residency in Australia, offer EU options, offer US options
Bias, Fairness, and Transparency
We build AI employee services that stay fair, explainable, and accountable.
- Test: Run pre-deployment bias tests, run ongoing drift checks, run human spot audits on samples
- Measure: Track adverse impact ratio against the 80% rule, track false positive rates by cohort, track equal opportunity difference across outcomes
- Constrain: Apply policy prompts, apply content filters, apply retrieval scopes to approved sources only
- Explain: Show source citations, show decision summaries, show confidence and alternatives
- Escalate: Route high-risk actions to humans, route legal or HR cases to owners, route exceptions to defined queues
- Document: Record model versions, record training data lineage, record change logs for governance
We follow guidance from the EEOC on adverse impact, from NIST AI RMF for risk management, and from OAIC for transparency and privacy in automated decisions where relevant to Australian APP 5 and APP 12 access rights (EEOC https://www.eeoc.gov, NIST https://www.nist.gov/ai, OAIC https://www.oaic.gov.au). We keep humans in control for hiring, performance, and termination decisions, then automate narrow steps once policy approval exists.
Engage AGR Technology to run a fairness audit, set guardrails, and prove model performance on your data. Request a pilot with bias testing, red-team prompts, and human-in-the-loop approvals.
Measuring Impact and ROI
We track AI employee services by outcomes that matter to HR and IT. We tie every workflow to time saved, cost avoided, and experience gains across Microsoft 365, Slack, HRIS, and ITSM.
Adoption, Satisfaction, and Resolution Metrics
We focus on adoption, satisfaction, and resolution because these signals prove value in days, not months.
- Track adoption across channels and roles
- Measure enabled users, active users, and repeat users across Microsoft 365, Slack, web
- Compare opt‑in rates for HR and IT tasks, for example onboarding, policy lookups, password resets
- Segment use by location, department, device to uncover friction and gaps
- Track satisfaction across moments that matter
- Collect CSAT after resolved chats, tasks, and tickets
- Capture eNPS quarterly to track sentiment across onboarding, internal mobility, offboarding
- Monitor verbatim themes with responsible AI, then route risks to human review
- Track resolution across service tiers
- Measure ticket deflection from chatbots and self‑service portals
- Measure First Contact Resolution for virtual agents and human agents
- Measure Time to Resolution for P1 to P4 incidents and HR cases
- Prove ROI with simple, auditable math
- Calculate benefit as time saved x loaded hourly rate, plus avoided license or contractor costs
- Calculate cost as platform fees, usage, and integration effort
- Calculate ROI as (benefit minus cost) divided by cost, then validate with finance
- Govern measurement with credible benchmarks
- Use HDI for service desk FCR and CSAT benchmarks, 2023
- Use Gartner guidance for virtual agent deflection ranges, 2023
- Use internal baselines for eNPS and HR cycle times, then re‑baseline every quarter
Common Pitfalls to Avoid
Common pitfalls in AI employee services slow adoption, erode trust, and waste budgets.
- Rely on generic models without context. Ground prompts in your HRIS, ATS, and ITSM data, for accurate answers.
- Ignore data minimization and consent. Limit PII capture to lawful purposes under the Australian Privacy Principles, for compliant processing.
- Over-connect systems without access controls. Enforce RBAC and least privilege across Microsoft 365, Slack, and HR platforms, for safe automation.
- Launch bots without content governance. Version your knowledge base and add source citations, for transparent answers.
- Skip human-in-the-loop on sensitive actions. Route pay, performance, and termination workflows to approvers, for accountable decisions.
- Track vanity metrics over outcomes. Measure ticket deflection, first contact resolution, and time to onboard, for real value.
- Neglect prompt security and data isolation. Harden against prompt injection and data exfiltration with guardrails, for resilient operations.
- Accept black-box vendors. Request model cards, audit logs, and evaluation reports, for verifiable quality.
- Delay incident response planning. Define runbooks for model drift, data exposure, and outage scenarios, for fast recovery.
- Deploy without change management. Train managers and agents, publish playbooks, and set a feedback loop, for smooth rollout.
Governance checkpoints we always cover
- Validate lawful basis under OAIC APPs and GDPR for cross-border transfers.
- Map controls to ISO 27001 and SOC 2 for security assurance.
- Align risk treatment to NIST SP 800-53 for control depth.
- Record DPIAs and TRA findings for high-risk processing.
High‑impact areas to nail first
- Security hardening. Encrypt data at rest and in transit, rotate keys, and restrict secrets in CI pipelines.
- Identity and access. Apply SSO, MFA, JIT access, and just-in-time provisioning for temporary staff.
- Data lifecycle. Set retention, redaction, and deletion policies for chat logs and model inputs.
- Content quality. Curate FAQs, policies, and SOPs with ownership, review cadence, and expiry dates.
- Observability. Capture conversation analytics, error rates, and handoff reasons with clear owners.
Red flags during vendor selection
- Marketing claims without third-party attestations, for example no ISO 27001 certificate.
- No privacy documentation, for example no data flow diagrams or subprocessor list.
- Weak integration story, for example brittle connectors to HRIS or ITSM.
- Lack of rate limiting and queueing, for example degraded service under peak load.
- No bias and fairness testing, for example absent adverse impact analysis in hiring flows.
Practical guardrails for AI employee services
- Constrain scope. Automate low-risk tasks first, for example password resets, equipment requests, and policy lookups.
- Use retrieval augmented generation. Serve answers from approved sources only, for consistent guidance.
- Set confidence thresholds. Fall back to human agents when confidence drops, for safe outcomes.
- Apply content filters. Block sensitive data patterns, for example TFNs, Medicare numbers, and bank details.
- Log everything. Store prompts, responses, and actions with user IDs for audits.
Reference standards and sources
- OAIC Australian Privacy Principles: https://www.oaic.gov.au/privacy/australian-privacy-principles
- ISO/IEC 27001 Information Security: https://www.iso.org/standard/27001
- GDPR guidance, EDPB: https://edpb.europa.eu
- NIST SP 800-53 Security and Privacy Controls: https://csrc.nist.gov/publications/detail/sp/800-53/rev-5/final
Ready to de-risk your rollout. Book a 30‑minute consult with AGR Technology to run a quick controls gap check across your AI employee services stack.
Want a safe, measured start. Request an AGR Technology pilot in Microsoft 365 or Slack with prebuilt guardrails, RBAC, and audit logging.
Future Outlook and Trends
Future outlook and trends for AI employee services center on safer automation, embedded assistants, and measurable outcomes. We see stronger orchestration across HRIS, ITSM, and collaboration tools like Microsoft 365 and Slack. We also see clearer governance across data privacy and model risk.
- Embed assistants in daily workflows, across Microsoft 365, Slack, and ServiceNow ITSM
- Automate lifecycle tasks, across onboarding, offboarding, and access provisioning
- Personalize knowledge, through RAG search, skills graphs, and sentiment analysis
- Standardize safety controls, with ISO 27001, SOC 2, and GDPR aligned guardrails
- Quantify value, using ticket deflection, first contact resolution, and time saved
What’s changing next
What’s changing next reflects two big shifts. We move from point chatbots to platform-native copilots. We move from pilots to governed scale with budget-backed KPIs.
- Consolidate toolsets, around platform copilots and shared model hubs
- Orchestrate workflows, with policy backed actions and human-in-the-loop steps
- Localize models, for private RAG, data residency, and latency gains
- Track outcomes, with finance grade dashboards across HR and IT
- Prioritize ethics, with bias testing, explainability, and audit logs
How AGR Technology prepares you
How AGR Technology prepares you aligns roadmaps to real gains and low risk scale. We design for secure integration, measurable ROI, and human oversight.
- Map priorities, across HR automation, IT service desk, and knowledge management
- Integrate data, across HRIS, ATS, ITSM, identity, and document stores
- Govern models, with role based access, PII minimization, and content filters
- Optimize flows, using RAG retrieval, LLMOps, and policy backed automations
- Prove value, through 6–8 week pilots with KPI baselines and success thresholds
Near-term bets for higher ROI
Near-term bets for higher ROI target repeatable, policy bound work. We align teams on service quality and security.
- Deflect tickets, with context aware virtual agents and guided workflows
- Speed onboarding, with automated account setup and compliant access
- Surface answers, with consolidated knowledge and semantic search
- Monitor sentiment, with opt in signals across channels and cohorts
- Reduce risk, with data loss prevention and least privilege access
What to de-risk now
What to de-risk now focuses on safety, privacy, and vendor lock in. We keep ownership of data and outcomes front and center.
- Validate permissions, across identity, document scopes, and admin actions
- Test bias, across roles, regions, and lifecycle decisions
- Log everything, across prompts, actions, and model outputs
- Avoid sprawl, by standardizing models, prompts, and evaluation sets
- Plan exit, with portable data formats and contract clauses
Ready to act
Ready to act means picking one or two high impact use cases and proving value fast. We back each step with governance and change support.
- Book a consult with AGR Technology to shortlist use cases and confirm KPIs
- Request a tailored demo to see Microsoft 365 and Slack workflows in context
- Start a low risk pilot to validate ticket deflection and onboarding gains in your environment
Conclusion
AI employee services are ready to move from talk to value. We know teams want speed clarity and control without adding risk. The path is practical and measurable when we align people process and tech around real outcomes.
If you want momentum without disruption we can help you choose a focused start prove results and scale with confidence. Book a consultation or request a tailored demo and we’ll show what a low risk pilot can deliver in your environment.
Let’s turn everyday work into a smoother smarter experience that your teams actually feel.
Frequently Asked Questions
What are AI employee services?
AI employee services use automation and conversational AI to support employees across the lifecycle—hiring, onboarding, daily support, and offboarding. They integrate with HRIS, ATS, and ITSM tools to centralize knowledge, resolve routine requests, and improve decision-making. AGR Technology delivers secure, workflow-driven solutions that boost productivity and reduce costs.
How do AI employee services improve team productivity?
They automate repetitive tasks, surface relevant information fast, and route issues to the right people. With virtual agents and intelligent workflows, teams spend less time on tickets and admin, and more on strategic work. AGR Technology emphasizes measurable outcomes like faster onboarding and higher first-contact resolution.
Which systems do AGR Technology’s solutions integrate with?
AGR Technology integrates with major HRIS and ATS platforms, ITSM tools, and collaboration suites like Microsoft 365 and Slack. Deployments start in Microsoft 365 and Slack, then extend to other systems via secure APIs, identity controls, and data synchronization.
How do AI employee services help HR teams?
They automate onboarding/offboarding, PTO, policy queries, and document generation; centralize knowledge; and monitor sentiment. AGR Technology’s solutions reduce manual effort, improve compliance, and enhance the employee experience with faster, accurate responses.
How do AI employee services support IT service desks?
Virtual agents deflect routine tickets, provide guided troubleshooting, and trigger automations in ITSM tools. AGR Technology typically sees 30–50% ticket deflection, 60–80% first-contact resolution, and higher CSAT, while maintaining audit trails and controls.
Are AI employee services secure and compliant?
Yes. AGR Technology implements encryption in transit and at rest, role-based access, SSO/MFA, data minimization, and retention policies. Solutions align with ISO 27001, GDPR, and industry standards, with rigorous logging, guardrails, and human oversight for sensitive actions.
How is privacy protected for employee data?
AGR Technology uses least-privilege access, purpose-limited processing, field-level controls, and redaction where appropriate. Data residency and retention are configurable, with transparent policies, audit logs, and consent workflows to meet privacy obligations.
How do you measure ROI and outcomes?
Track time saved, cost avoided, and experience gains using KPIs like ticket deflection, first-contact resolution, onboarding cycle time, and CSAT. AGR Technology provides dashboards and benchmarks to validate adoption, satisfaction, and resolution rates across Microsoft 365 and Slack.
What results can we expect?
Typical outcomes include 30–50% ticket deflection, 60–80% first-contact resolution, and 25–40% faster onboarding. Teams see reduced manual workload, fewer escalations, and improved morale, with clear governance and compliance maintained.
How do you ensure fairness and reduce bias?
AGR Technology performs pre-deployment bias tests, ongoing monitoring, and human-in-the-loop reviews for sensitive decisions. Transparent explanations, content governance, and periodic audits help maintain fairness and reliability.
What are common pitfalls to avoid?
Avoid generic models without domain tuning, weak access controls, over-collecting data, and vanity metrics. Prioritize governance, policy-aligned automations, human approval for sensitive actions, and meaningful KPIs tied to business outcomes.
What does implementation look like?
Start with needs assessment, prioritize high-impact use cases, map integrations, and define KPIs. Run a contained pilot, measure results, and iterate. AGR Technology supports setup, safety reviews, and change management to ensure adoption.
Should we build in-house or choose a vendor?
It depends on your security needs, integration complexity, and time-to-value. AGR Technology offers secure, pre-integrated services with guardrails, reducing risk and accelerating ROI compared to custom builds.
How do pilots work?
Pilots run in a contained scope (e.g., IT helpdesk or onboarding), integrate with your HRIS/ITSM, and deploy in Microsoft 365 or Slack. AGR Technology measures KPIs, gathers feedback, and refines workflows before broader rollout.
Can we customize workflows and content?
Yes. AGR Technology supports custom intents, knowledge sources, approvals, and automations. Policies, permissions, and responses can be tailored by role, region, and system, with governance and QA for content quality.
How do AI services handle sensitive actions?
Sensitive operations use strict permissions, approvals, and step-up authentication. Automations run only after policy validation, with human oversight, detailed logs, and rollback options to ensure safety and accountability.
Will this replace human roles?
No. AI handles repeatable tasks and information retrieval, while humans make nuanced, sensitive decisions. AGR Technology’s approach augments teams, improving speed and accuracy without sacrificing control.
How do we get started with AGR Technology?
Book a consultation or request a tailored demo. AGR Technology will assess your use cases, confirm KPIs, design integrations, and launch a low-risk pilot to validate outcomes in your environment.
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Alessio Rigoli is the founder of AGR Technology and got his start working in the IT space originally in Education and then in the private sector helping businesses in various industries. Alessio maintains the blog and is interested in a number of different topics emerging and current such as Digital marketing, Software development, Cryptocurrency/Blockchain, Cyber security, Linux and more.
Alessio Rigoli, AGR Technology

















