Enterprise engineering, with intelligence designed in.

The capabilities behind our products and projects: a reliable operational core, open connectivity and an AI layer that can read, reason and act on business data, safely.

Architecture

Five layers, designed to work as one.

Users interact through portals, apps and dashboards. Beneath them, an intelligence layer works with the operational core: Mithaq ERP and the applications we build. A connectivity layer links everything to banks, e-invoicing providers, government services and third-party systems, all running on a secure, monitored foundation.

Each layer can be adopted independently. Most organisations start with the operational core and connectivity, then add intelligence as their data matures.

  1. ExperienceWeb portals, mobile apps, dashboards
  2. IntelligenceAI agents, LLMs, analytics, document AI
  3. OperationsMithaq ERP, workflows, custom applications
  4. ConnectivityAPIs, e-invoicing, banking, government services
  5. FoundationCloud, databases, security, monitoring
Capabilities

Technology capabilities

What each capability means in practice for the organisations we work with.

  • Artificial Intelligence

    Applied AI that classifies, extracts, summarises, drafts and recommends inside business processes.

    • Document classification and data extraction
    • Summaries of cases, contracts and correspondence
    • Recommendations surfaced inside workflows
  • Machine Learning

    Models that learn from historical business data to predict and detect.

    • Payment and arrears risk indicators
    • Maintenance demand patterns
    • Anomaly detection in transactions
  • Large Language Models

    Commercial and open-weight LLMs, selected per task for quality, cost and data sensitivity.

    • Retrieval over your own documents with citations
    • Natural-language questions over business data
    • Private deployment where confidentiality requires it
  • AI Agents

    Agents that plan steps and use approved tools, with human approval built into sensitive actions.

    • Invoice and document intake agents
    • Service request triage and routing
    • Report preparation and commentary
  • API & System Integration

    Secure, documented connections between ERP, finance, banking, government and third-party platforms.

    • REST APIs and webhooks
    • E-invoicing service provider connectivity
    • Payment gateway and banking integration
  • Cloud Technologies

    Cloud-ready architecture with automated deployment, monitoring and scaling.

    • Regional hosting for data residency
    • Automated build and release pipelines
    • Backup and disaster recovery
  • Database Technologies

    Robust relational data models designed for integrity, performance and reporting.

    • Transactional data modelling
    • Query and index optimisation
    • Data migration and validation
  • Web & Mobile Technologies

    Responsive web applications, portals and cross-platform mobile apps.

    • Customer, tenant and owner portals
    • iOS and Android business apps
    • Offline-capable field applications
  • Enterprise Security

    Security designed into architecture, access and operations from the start.

    • Role-based access control and audit trails
    • Encryption in transit and at rest
    • Secure development and review practices
  • Business Intelligence

    Dashboards and reports that turn operational data into decisions.

    • Management dashboards by entity and portfolio
    • Scheduled reporting
    • AI-assisted analysis and commentary
Engineering principles

How we build

  • Integration first

    Every platform exposes documented APIs. Data moves between systems automatically, captured once and used everywhere.

  • AI with guardrails

    AI acts through approved tools, within role-based permissions, with human approval for sensitive actions and a full audit log.

  • Security by design

    Access control, encryption, secure coding and review practices are built into architecture, not added at the end.

  • Built to be maintained

    Clear architecture, automated testing and documentation, because enterprise software lives for years.

  • Data you can trust

    Structured data models and validation at source: the foundation for reporting, e-invoicing and AI.

  • Deployment flexibility

    Cloud, regional hosting or your own infrastructure, chosen to fit data residency and security requirements.

Responsible AI

How we keep AI accountable

Enterprise AI has to be explainable to auditors, acceptable to employees and safe for customers. These controls are part of every AI deployment we deliver.

  1. Defined scope

    Each agent or AI feature has a documented purpose, owner and set of permitted actions.

  2. Least-privilege access

    AI can only reach the data and tools its role requires.

  3. Human in the loop

    Actions with financial, legal or customer impact require human approval.

  4. Evaluation before release

    Quality is measured against real examples before go-live and monitored afterwards.

  5. Full traceability

    Inputs, outputs, tool calls and approvals are logged for review and audit.

Planning an AI or integration initiative?

Talk to our solution architects about your systems, data and goals.