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Technology

Enterprise Deployment

AI that lives where your work already happens.

The failure mode of enterprise AI is isolation — a powerful tool that requires everyone to leave their existing workflow to use it. Real adoption means AI operating within the systems your teams already rely on.

System Integrations

Connected to your enterprise stack.

Native MCP connections to the platforms your teams already use — no rip-and-replace, no shadow IT, no new portals to learn.

Microsoft 365

120+ tools via Graph API

Full coverage of the M365 suite: Mail, Calendar, Teams, SharePoint, OneDrive, Planner, To Do, Excel, OneNote, Contacts, and Search. AI agents that operate natively within the M365 environment — not alongside it.

  • Inbox triage and drafting
  • Meeting intelligence and transcripts
  • SharePoint document management
  • Planner task automation
  • Excel data read/write
  • Teams message management

Odoo 18 ERP

Connected via MCP

Natural language access to accounting, project management, expense tracking, and CRM data. AI agents can query invoices, update records, and surface operational insights — without leaving the AI workspace.

  • Invoice and expense management
  • Project and task tracking
  • Contact and lead management
  • Financial reporting queries
  • Automated workflow triggers
  • Natural language CRUD operations

Government Data Systems

Direct API access

Structured connections to official parliamentary, legislative, and regulatory databases. Dutch Tweede Kamer, Australian Parliament, legislative calendars, official publications — no web scraping, no brittle parsers.

  • Parliamentary document search
  • Legislative pipeline monitoring
  • Voting record analysis
  • Committee proceedings access
  • Ministerial statement tracking
  • Regulatory horizon scanning

Security & Governance

Zero Trust by default.

Enterprise AI must be secure, auditable, and attributable. Every deployment follows these non-negotiable principles.

Identity & SSO

Every deployment registers as an enterprise application in Azure Active Directory. Agent sessions map to named user identities via SAML — every action is attributable.

Audit Logging

Complete execution traces for every workflow run — tool calls, model inputs and outputs, decisions, timing. Audit trails readable by compliance teams and exportable for regulatory review.

Human-in-the-Loop Gates

High-stakes operations — write actions, external communications, financial changes — require explicit human approval before execution. Automation with accountability.

Your Infrastructure

MCP servers and workflows deploy on your Azure or Google Cloud tenant. Your data never transits a third-party service. You control access, permissions, and shutdown.

Deployment Phases

Trust is earned, not assumed.

Every enterprise deployment follows the same progression — from read-only observation to full-scale automation.

01

Read-Only

AI queries your systems and surfaces insights — no writes, no side effects. Builds confidence in output quality before any automation is trusted with actions.

  • Document search and summarisation
  • Calendar and inbox overview
  • Data analysis and reporting
  • Regulatory monitoring
02

Controlled Pilots

Narrow write operations in a defined scope, with a controlled user group and close monitoring. Real-world validation under controlled conditions before broader rollout.

  • Draft email generation (human sends)
  • Task creation in Planner
  • Structured document assembly
  • Report generation to review folder
03

Governed Production

Operational workflows with permission gates, fallback paths, and HITL checkpoints for high-stakes decisions. Full monitoring and incident response procedures in place.

  • Automated intelligence briefings
  • Managed stakeholder communications
  • Workflow-driven document production
  • Scheduled parliamentary monitoring
04

Ecosystem Scale

Multi-agent orchestration across ERP, productivity suite, and intelligence platforms. The full system operates as a unified intelligence and automation layer.

  • End-to-end intelligence pipeline
  • Cross-system workflow automation
  • Org-wide plugin distribution
  • Continuous regulatory monitoring

Previous layer

Document Automation

From AI analysis to board-ready deliverables across 7 formats.

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Data layer

MCP Data Connectors

How MCP connects AI agents to live government and enterprise data.

Explore

Overview

Technology Platform

See how enterprise integration fits within the full technology platform.

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