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Solutions

AI & Automation

We build AI systems that connect business processes, enterprise data and decision-making.

  1. Data
  2. Context
  3. AI
  4. Agents
  5. Action

Specialties

What we do

AI & Automation

AI agents

Assistants that carry out multi-step tasks: reviewing documents, answering internal questions, preparing reports.

  • AI agents
  • AI assistants
  • Enterprise AI

Document intelligence

We extract and analyze information from contracts, invoices, emails and other documents.

  • Document intelligence
  • Data analysis

Process automation

Workflows that run on their own, with clear rules and human approval points.

  • Process automation
  • Automated workflows
  • Reporting automation
  • Decision support

Secure integrations

We connect AI to your systems through APIs and MCP, with permissions and traceability.

  • MCP integrations
  • ERP / CRM integrations
  • API integrations

How it works

  1. 1

    Choose the use case

    Repetitive or high-value tasks where AI delivers a measurable benefit.

  2. 2

    Connect data and context

    AI only accesses the information it needs, from your systems, with defined permissions.

  3. 3

    Set rules and oversight

    Usage policies, limits and human approval where judgment matters.

  4. 4

    Measure and improve

    Every run is logged; we measure quality and improve continuously.

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.

Have a specific challenge?

Tell us where you are starting from. We will tell you how we would approach it.

Start a conversation

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