TeraGrid Integration

From advisory to running workflows — on one platform.

Most consultancies disappear when the slide deck lands. We continue — because the recommended workflows are deployed on Teragrid Ai, our flagship PaaS for orchestrating Digital Workers.

Why it matters

The integration tax — eliminated.

Traditional AI projects fail at the seam between strategy and implementation. We removed that seam by owning the platform.

One accountability line

The team that recommends a Digital Worker is the team that builds it, instruments it, and operates it. No vendor finger-pointing, no "we'll loop in the platform team."

No procurement detour

You don't have to issue a separate RFP for the platform. Teragrid Ai is bundled into the engagement, with predictable, capped commercials.

Recommendations are buildable

Every recommendation we surface is one we know we can ship — because we've shipped variants of it on the platform before.

Compounding institutional learning

Each engagement makes the next one faster. Patterns that worked for one Penang manufacturer become starting points for the next.

Inside Teragrid Ai

What you're integrating with.

Worker orchestration

Configure, supervise, and version Digital Workers from a single control plane. Built-in evaluation, observability, and safety guardrails.

Connector library

Pre-built connectors for the apps Malaysian enterprises actually run — local ERPs, banking rails, e-invoicing, SST/HRDF reporting, common SaaS.

Compliance posture

PDPA-aligned by default. Audit trails, role-based access, data residency, and granular logging — engineered in, not bolted on.

Human-in-the-loop

Approval queues, escalation routes, and "shadow → assist → autonomous" promotion paths so workers earn their autonomy.

Eval-driven iteration

Continuous evaluation harnesses for every Worker. Drift detection, regression catchers, and a 30/60/90 review cadence.

Local team, local time-zone

Engineering and operations in Malaysia. Same time-zone, same holidays, same compliance reading.

Start with strategy. Land in production.

If your last AI project ended in a slide deck, this is the engagement model that fixes that.

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