03 · Intelligent Enterprise

Make your Drupal ecosystem intelligent.
Keep it governable.

AI should not become another disconnected layer. We engineer intelligence into the systems, content and workflows your enterprise already depends on — with control built into the architecture.

Drupal AI · Native contextAgents · Governed actionSearch · Enterprise discoveryGovernance · Control by design
Intelligence · Integration · GovernanceAI that can act — without becoming ungovernable.
01 · The shift

AI is no longer a feature.
It is an operating layer.

Enterprise AI is moving from isolated experiments toward agents, workflows, enterprise data and production systems. The hard part is no longer getting a model to answer. It is deciding what the system may know, what it may do, when a human must intervene and how the organization proves what happened.

Current enterprise AI practice is increasingly focused on continuous visibility, enforceable controls, accountability and governance embedded into runtime systems — not periodic documentation alone.
02 · The intelligence stack

Build intelligence
as a system.

Different use cases. One architectural discipline: connect intelligence to trusted enterprise context, systems and controls.

01 · CONTEXT

Drupal AI

Bring AI into the content platform — structured content, editorial workflows, authoring and enterprise context.

Content · Context · Assist
02 · ACTION

AI Agents & Automation

Design agents and workflow automation around explicit responsibilities, tool boundaries and human approval where risk demands it.

Agents · Tools · Workflows
03 · DISCOVERY

Enterprise Search

Make distributed enterprise knowledge easier to discover, retrieve and use across content and connected systems.

Search · Retrieval · Discovery
04 · INTELLIGENCE

Content Intelligence

Turn content operations into an intelligent system: classification, enrichment, assistance and repeatable editorial signals.

Enrich · Understand · Scale
03 · Governance by construction

Don't bolt governance
onto AI. Build it in.

For enterprise AI, control needs to exist where decisions and actions happen — across intent, planning, tool use, approvals and outputs. That is the difference between an impressive prototype and an operable system.

VisibilityKnow what AI exists, where it connects and what it touches.
PolicyDefine what systems and agents are allowed to do.
BoundariesControl tools, data access and high-risk actions.
Human gatesEscalate decisions that should not be autonomous.
EvidenceLeave an auditable trail of behavior and outcomes.
04 · Start with a real use case

Don't buy the AI pitch.
Test the system.

Bring us a real content problem, search challenge, automation opportunity or AI architecture question. We can use the free 14-day sprint to prove the hard part inside the reality of your platform.

Free · 14-Day Engineering SprintReal problem. Senior engineers. Production-minded evidence before you commit to scale.Start my free 14-day sprint ↗