Pillar Two · AI Innovation & Adoption Advisory

AI that works inside SAP —not around it.

And honest advice about where it belongs. We will tell you when AI is the right tool and when it is not. Engagements are scoped around outcomes, not billable hours.

Where enterprise AI stalls

Everyone has an AI strategy. Almost no one has AI in production.

The distance between them is not a technology problem — it is a pattern, and it repeats.

  • 01The pilot that impressed everyone in the room and never touched the system of record.
  • 02The assistant that could read from SAP but was never permitted to write back to it, so every output ended as a person retyping data into a screen.
  • 03The governance review that arrived after deployment and sent the whole thing back to legal for two quarters.
  • 04The steering committee that met nine times and shipped nothing, because no single person owned the process the AI was meant to change.

If you have lived any of these, you already know the problem is not the model. It is everything around the model.

Capabilities

What we build

Conversational SAP

Natural-language interfaces to SAP transactions. Field crews, finance teams and HR staff work through governed agents instead of GUI navigation.

Workflow AI Agents

Autonomous agents for invoice processing, purchase requisitions, HR ticket routing and payroll exception handling, with full audit trails inside SAP.

Data Intelligence

Predictive analytics and anomaly detection across FI/CO, HCM and supply chain, connecting SAP and operational data into a unified intelligence layer.

Adoption & Readiness Advisory

Where AI earns its place, where it does not, and what has to be true before it will hold: process ownership, data quality, governance posture, change capacity.

Govern AI

Model policy, access boundaries, audit trails, data residency and evaluation — defined before deployment, not assembled for an audit afterwards. In regulated environments this is the work that decides whether an AI system is permitted to run at all.

SharePoint & Power Platform

Business applications built with SPFx and Power Apps inside your own Microsoft tenant — Trellis for HR administration, DigiForm for procurement — delivered in weeks rather than quarters. Entuber intellectual property, configured to your processes, running on licences you already own.

Governance

On your terms

BTP-Native

Built on SAP Business Technology Platform for native integration and governance.

Any LLM, Your Choice

Agents connect to any large language model. No vendor lock-in at the intelligence layer.

Client-Owned Intelligence

Every agent, extension and model refinement belongs to you. No shared tenants, no shared training data, no advantage leaking to the market.

Conditions

Four conditions separate a demonstration from a system.

When any one is missing, the work stalls. When all four hold, it ships.

Inside the system of record

Read access makes a demonstration. Write access makes a system. If the output has to be re-entered by a person into SAP, the workflow was never automated — it was narrated.

Owned by a named person

Not a committee. One person who owns the outcome, feels the cost today, and can say whether it works by Friday.

Governed before deployment

In regulated environments, governance applied retroactively is indistinguishable from failure. Access boundaries, audit trails, data residency and model policy are week-one design inputs.

Measured against an existing baseline

If you cannot state the current cycle time, error rate or cost per transaction, you cannot claim an improvement. We capture the baseline before we build.

Bring us one workflow.

Not a transformation programme. One process that costs more than it should, with a number attached and a person who owns it. We will tell you honestly whether it is worth building.

Talk to Entuber