App Developer Studio

Who can implement OpenAI for your South African business?

We are a Registered Partner in the OpenAI Partner Network. Our Forward-Deployed Engineers implement production agents, multi-agent workflows, ChatGPT Enterprise rollouts and Codex-assisted engineering, starting with a paid two-week workflow diagnostic.

App Developer Studio is a Registered Partner in the OpenAI Partner Network.

We build production OpenAI agents, multi-agent workflows, ChatGPT and Codex integrations, and deploy on the platform your organisation approves, including Claude.

What we implement

  • Production agents with tool calling and permission-aware retrieval
  • Multi-agent workflows for proposals, knowledge search and operations
  • ChatGPT Enterprise and Business rollout, identity and connector planning
  • Codex-assisted engineering, including Meg AI built with Codex for MegChem

When a lab publishes a partner directory profile for us, we will link it from this page.

Engineering and mining workflows

Engineering firms

Engineers lose hours finding the right clause in standards, specifications and past project files.

  • Specification search across approved documents
  • Document checking against the specification
  • Proposal preparation from past bids

Mining suppliers and operations

Maintenance knowledge sits with a few experienced people and in manuals nobody has time to read.

  • Maintenance knowledge retrieval
  • Work-order preparation
  • Incident-report drafting

Named delivery leads

Rob Maclean

CEO

Leads the diagnostic, executive sponsorship and go/no-go decisions.

Devin Florentino

CTO

Owns architecture, security, integrations and production readiness.

Amanda Kaburise

Business Development Manager

Scopes the workflow, commercial model and stakeholder alignment.

Engagement models

Two ways to work with us, plus support

Most engagements start with a paid AI workflow diagnostic. It takes about two weeks and ends with a go/no-go decision on one workflow.

Managed implementation

ADS is responsible for delivery. Your team approves the work against acceptance criteria agreed at the start.

We take one bounded workflow from proof of concept to production, typically in six to eight weeks. We agree the acceptance criteria with you, then own the build, testing, launch and handover.

Best when you want one accountable team and a defined outcome. Most clients start here after the AI workflow diagnostic.

Embedded engineers

Your team directs the backlog

One senior engineer, or a small pod, joins your team under your leads and your sprint cadence. Use it as a dedicated AI squad on your roadmap, or as specialist staff augmentation for retrieval, LLM and multi-agent work.

ADS employees are temporarily embedded in your team. ADS remains their employer, while your team directs their delivery priorities. This is collaborative delivery and capability transfer, not outsourcing.

Best when you have internal product leadership and need specialist AI engineers inside it.

Support

Keep it working after launch

We monitor usage, cost and quality, fix issues, and update models and prompts as providers change. When the first workflow is stable, we help you choose the next one.

Available after either engagement.

From diagnostic to production

The AI workflow diagnostic baselines one process in about two weeks. If the answer is go, choose managed implementation or embedded engineers on the Forward-Deployed Engineers page.

For Grok Bot (often searched as Grokbot) and Cursor delivery, see our SpaceXSI Registered Partner line on enterprise pages, our Grok Business and Enterprise guide, and our Cursor and Grok Bot for Teams guide.

OpenAI implementation FAQ

Ready when you are

Let’s build something brilliant together

Whether you're starting from a sketch or scaling a live product, our team can help you move from concept to launch in weeks.

Discuss your AI workflow