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AI Solutions & Automation

Practical AI implementations that automate repetitive workflows, improve response speed, and integrate safely into existing business systems.

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ProvisionX AI and automation solutions

We focus on applied AI that delivers measurable business value: better response times, lower manual workload, and improved process consistency. Our teams combine domain expertise, integration engineering, and governance so AI solutions are usable in real operations.

We do not treat AI as a standalone experiment. Every automation is connected to your current stack: CRM, ticketing, ERP, email, collaboration, and document systems.

For regulated industries, we include controls for privacy, access, auditability, and model lifecycle so innovation can move forward without creating unmanaged risk.

Detailed scope

AI Assistants & Knowledge Automation

Assistive copilots for support, sales, operations, and internal teams.

  • Customer support copilots with context-aware answers
  • Internal knowledge assistants for SOPs and policies
  • RAG pipelines with source citation and access controls
  • Multilingual response generation and summarization
  • Quality review loops with human-in-the-loop fallback
  • Prompt library and governance standards

Workflow & Process Automation

Automate repetitive steps across departments and systems.

  • Lead capture, qualification, and routing automation
  • Email, ticket, and case triage with AI classification
  • Document processing (OCR + extraction + validation)
  • Approvals, notifications, and exception handling
  • Finance/procurement workflow orchestration
  • No-code/low-code automation governance

Data Foundations for AI

Prepare, structure, and govern data pipelines that power AI outcomes.

  • Data ingestion from CRM/ERP/IT support operations and file systems
  • Data quality checks and transformation pipelines
  • Vector stores and semantic search setup
  • BI dashboards for automation impact tracking
  • Model performance and drift monitoring
  • Data retention and compliance controls

AI Security, Risk & Compliance

Operate AI safely with privacy, security, and auditability.

  • PII masking and sensitive data filters
  • Role-based access and policy enforcement
  • Audit logs, model usage tracking, and guardrails
  • Prompt injection and data leakage mitigation
  • Vendor risk and model selection framework
  • AI governance aligned with legal/compliance requirements

Tools, platforms & frameworks

LLM & AI Platforms

OpenAI APIAzure OpenAIAnthropicGoogle Vertex AIHugging FaceOllama

Automation & Orchestration

n8nPower AutomateUiPathZapierMakeTemporal

Data & Vector Tooling

PostgreSQLPineconeWeaviateQdrantdbtAirflow

Frameworks & Integration

LangChainLlamaIndexFastAPINode.jsTypeScriptPython

Legacy and outdated environments we still support

Legacy Platforms We Still Support

  • Windows Server 2008/2012 transition planning
  • SQL Server legacy versions and compatibility support
  • IIS, classic ASP, and ASP.NET WebForms estates
  • IBM i / AS400 operations and modernization
  • Mainframe integration (z/OS adjacencies)
  • VMware ESXi legacy host remediation paths
  • Old backup stacks (tape libraries, Veeam legacy chains)
  • On-prem AD/Exchange coexistence strategies

Legacy Applications & Languages

  • COBOL and PL/I integration touchpoints
  • Visual Basic 6 and WinForms transition plans
  • Java 6/7 and old servlet containers
  • PHP 5.x modernization and secure upgrade paths
  • Perl/CGI scripts still running critical workflows
  • Lotus Notes / Domino migration
  • Crystal Reports and SSRS legacy reporting
  • Access database replacement roadmaps

Outdated Network & Telephony Environments

  • Site-to-site VPN modernization from legacy appliances
  • MPLS-only networks moving to SD-WAN
  • ISDN/PBX to SIP/UC migration
  • Legacy firewall policy cleanups
  • Flat VLAN segmentation redesign
  • Old Wi-Fi security protocol remediation
  • SNMPv2-only monitoring migrations
  • Obsolete hardware refresh programs

Complete IT service catalog (modern + legacy)

AI and automation projects often touch broader IT operations. We therefore support end-to-end integration across infrastructure, security, data, and legacy applications.

IT Operations & Service Management

L1/L2/L3 IT support operations and multilingual supportITIL incident, request, change, and problem management24/7 monitoring, alerting, and on-call escalationPatch management for endpoints, servers, and network devicesCMDB, asset lifecycle, procurement, and warranty trackingServiceNow / Jira Service Management implementationSLA / SLO design with executive reportingNOC/SOC coordination for critical incidents

Cloud, Platform & Infrastructure Engineering

AWS, Azure, Google Cloud landing zonesKubernetes platforms (EKS/AKS/GKE/OpenShift/Rancher)Virtualization: VMware, Hyper-V, Proxmox, NutanixInfrastructure as Code (Terraform, Pulumi, Bicep, CloudFormation)Backup, disaster recovery, and business continuityStorage design: SAN/NAS/Object (NetApp, Dell, Ceph, S3)Performance and cost optimization (FinOps)Data center migration and colo relocation

Software Engineering & Integration

Web applications (Next.js, React, Angular, Vue)Backend services (Node.js, .NET, Java, Python, Go)API strategy (REST, GraphQL, gRPC)Event-driven architectures (Kafka, RabbitMQ, SQS)Integration (MuleSoft, Boomi, Workato, custom middleware)Test automation (Playwright, Cypress, Jest, Vitest)Release governance and SDLC controlsApplication support and maintenance

Data, AI & Automation

LLM copilots and chat assistantsRAG pipelines and enterprise knowledge searchOCR and document workflow automationProcess automation (Power Automate, n8n, UiPath)Data engineering (dbt, Airflow, Data Factory, Databricks)BI dashboards (Power BI, Tableau, Looker)Model governance, prompt controls, and observabilityMLOps and model lifecycle operations

Cybersecurity, Risk & Compliance

Identity and access management (IAM, SSO, MFA, PAM)Endpoint detection and response (EDR/XDR)SIEM/SOAR implementation and tuningVulnerability scanning and remediation programsSecurity awareness and phishing simulationsGDPR, ISO 27001, NIS2 readiness supportPenetration testing coordination and fixesSecurity architecture and zero-trust roadmaps

Network, Connectivity & Communications

LAN/WAN design and optimizationSD-WAN, SASE, and ZTNA rolloutsFirewalling and secure remote accessWi-Fi surveys and enterprise wireless designVoIP / UC platforms (Teams Phone, Zoom Phone, SIP)MPLS migration and multi-site routingDNS, DHCP, IPAM governanceEdge, branch, and retail connectivity support

Workplace & Collaboration

Microsoft 365 and Google Workspace administrationEndpoint management (Intune, Jamf, SCCM/MECM)VDI and DaaS (Citrix, Azure Virtual Desktop, VMware Horizon)Device hardening, baselines, and complianceEmail migration (Exchange, M365, Google)Collaboration governance (SharePoint, Teams, Confluence)Digital workplace adoption and trainingPrint, kiosk, and frontline device operations

Business Platforms, ERP & Industry Systems

ERP/CRM support (SAP, Microsoft Dynamics, Salesforce)E-commerce and OMS/PIM integrationPOS and branch systems for retailManufacturing integrations (MES/SCADA interfaces)Warehouse systems and barcode/RFID workflowsFinance and procurement workflow automationMaster data governance and integrationManaged application operations

How we deliver

  1. 1Use-case workshop and automation opportunity mapping
  2. 2Pilot with measurable KPIs and guardrails
  3. 3Production hardening: security, observability, and fallback design
  4. 4Scale-up roadmap across functions and regions

Expected outcomes

  • Reduced manual workload in repetitive processes
  • Faster customer and internal response times
  • Consistent quality with governed AI usage
  • Better operational visibility through automation analytics

Forward-Deployed AI Engineering

Forward-deployed AI engineering means working close to the client’s real processes, data, users and operational constraints. Instead of stopping at a prototype, the goal is to help suitable AI use cases become secure, maintainable production workflows. This can help companies turn AI ideas into practical tools that support daily operations, reduce manual effort and improve decision-making where the data and process quality allow it.

Related case studies

Want this service tailored to your environment?

Share your priorities, current tooling, and constraints. We’ll prepare a practical plan with timeline, ownership, and measurable milestones.

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