Forward deployed AI practice

AI automation built around how your business works.

Deploid Now turns complex, time-sensitive workflows into reliable production systems, from discovery and design through deployment and ongoing improvement.

Workflow discovery Production delivery Ongoing improvement
Selected delivery Corporate communications
Engagement / Production system

Announcements in.
Verified content out.

Proof Featured engagement
ASX: TG1 TechGen Metals Limited
ASX: FRS Forrestania Resources Limited
ASX: TAS Tasman Resources Ltd
ASX: GT3 Green360 Technologies Limited
Method Field delivery

Close to the work. Accountable for the outcome.

The work happens inside the real operating environment, with the people who know where the edge cases live. The goal is not an AI demo. It is a dependable system that survives contact with day-to-day work.

Observe

Start with the operation

Map the decisions, handoffs, exceptions, and source material before choosing the technology.

Control

Build controls into the flow

Make source traceability, deterministic checks, and human review part of the architecture.

Deliver

Own the final mile

Deploy, observe, and improve the system in production until it is genuinely useful to the team.

Control Controlled automation

Seven states. Two gates. Nothing moves unchecked.

The safeguards are the product. Verification and approval are structural, not optional settings.

Listening / Stage 01

Monitor

Watch approved sources for a new market announcement and retain the original release as the reference point.

Scope Ways to work together

Start where the work is slow, fragile, or hard to scale.

A focused engagement can begin with one operational bottleneck and grow only when the system proves its value.

Discover

Workflow discovery

Find the right automation boundary, surface failure modes, and define a realistic delivery path.

Output: opportunity map and build plan
Build

Production build

Design, implement, and deploy a dependable system with the right controls and integrations.

Output: working system in the operating environment
Improve

Embedded improvement

Observe real use, resolve edge cases, and extend the system as the operation evolves.

Output: measured, ongoing iteration
Have a workflow worth fixing?

Let’s turn it into a system your team can trust.

Start with one workflow. The first conversation maps the operating constraint, the failure modes, and whether it is worth building.