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AI & Automation

Solutions · AI & Automation

Integrations & MCP

Connections between ERP, CRM, documents, APIs and AI models — including Model Context Protocol servers that expose enterprise tools to AI in a controlled way.

  1. Systems
  2. APIs
  3. MCP
  4. Models
  5. Workflows

What we do

Integrations & MCP

Systems that talk

We connect ERP, CRM and applications through APIs and events, removing manual work between systems.

  • ERP / CRM integration
  • APIs
  • Event-driven workflows

AI connected securely

MCP servers that give AI access to company tools, with identity, permissions and monitoring.

  • MCP servers
  • Identity and access
  • Integration monitoring

How it works

  1. 1

    Map your systems

    Which systems exist, what data they hold and how they relate.

  2. 2

    Build the connectors

    APIs and MCP servers with defined permissions.

  3. 3

    Monitor

    Alerts and logs so every integration stays reliable.

sources → agents → actionsMCP · API

Artificial intelligence

Building intelligence into the enterprise.

AI becomes more valuable when it can understand business context, access trusted data and act within controlled workflows.
  1. Data
  2. Context
  3. AI
  4. Policies
  5. Tools
Agents
agent run · supplier-invoice-reviewActions
  1. contextprocurement policy v3 loaded
  2. dataerp.invoices — 412 records, last 30 days
  3. toolcrm.lookup_supplier via MCP
  4. policyamount > threshold → human approval required
  5. actionexceptions report drafted → sent to reviewer
  6. awaiting human approval
  • AI AgentsSystems that plan and execute multi-step work.
  • MCPStandard, auditable connections between models and tools.
  • Enterprise dataGrounded in your systems, not public guesses.
  • APIsAgents that read and write where work happens.
  • WorkflowsBounded, observable, reversible processes.
  • GovernancePolicies enforced at runtime, not after the fact.
  • Human oversightApproval points where judgment matters.

How we approach it

  1. UnderstandRegulation, business requirements and risk.
  2. AssessCurrent state and gaps.
  3. DesignControls, processes and technology.
  4. ImplementSystems, automation, governance and evidence.
  5. MonitorContinuous visibility and improvement.