Jun 4, 2026
Still Patching Servers at 2 AM? Stop.
Here are five API keys that let AI handle it instead
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Practical AI Implementation
Practical AI systems for businesses. Not experiments.
We help business owners and leadership teams identify where AI can create real operational leverage, then design, build, integrate, and improve the systems that make it useful. Engagements combine senior consulting, practical delivery, governance thinking, and production software.
Public products from our wider AI delivery work
Use-case clarity
Define what AI should improve before writing code.
Governed workflows
Set review points, risk boundaries, and ownership early.
Existing-tool fit
Integrate around the systems and habits already in use.
Measured adoption
Track whether the workflow saves time, reduces risk, or grows value.
Proof beyond prototypes
Production AI systems we have shipped.
VideoTranslatorAI, SpeechLobster, JobsLobster, and private client systems show the same pattern: find the workflow, build the system, measure the outcome, and improve from use.
VideoTranslatorAI
AI · Transcription · Interpretation
The Problem
Live web calls across languages losing context, records, and follow-up actions.
AI-powered meeting companion that provides live transcription, interpretation, and customised summaries for in-person and online meetings.
View project ↗
SpeechLobster
AI · Language · Learning
The Problem
Language learners with no practical way to practice speaking and get real feedback.
AI-powered language learning tool that lets users practice speaking at their own pace, with instant feedback to build fluency faster.
View project ↗
JobsLobster
AI · Resume · Career
The Problem
Generic resumes that fail to match what each job description actually asks for.
AI-powered tool that analyses the gap between your resume and target role, and rewrites your application and cover letter to close it.
View project ↗
Government-Backed Programs
Recognised by theNSW Government.
VideoTranslatorAI has been selected for two competitive NSW Government programs covering emergency communication and healthcare access for diverse communities.
NHTP
Emergency Communication
Natural Hazards Technology Program
Selected to develop multilingual emergency alert solutions for culturally diverse communities, in collaboration with NSW emergency services agencies.
OCSE · DCS · NSW SES · NSW RFS
Selected by NSW Government programsFeatured on SBS World NewsPresented at AFAC and recognised at AFAC24
Latest milestoneThe last chapter of our SBIR journey.Read update ↗agent-terminal.sh
> Mapping workflow bottlenecks...
> Identifying high-value AI use cases...
> Checking data access and risk boundaries... Done
> Designing human review points... Done
> Integrating with existing tools...
/* Senior delivery judgement stays on workflow fit, governance, adoption, and ROI */
> Defining adoption and ROI metrics... Ready
> Preparing first production workflow for review.
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AI agents speed up delivery. Senior judgment keeps it useful.
We use AI agents to accelerate the repeatable parts of software delivery, but the important decisions stay with experienced people: what should be automated, what needs human review, how the workflow fits your team, what data is exposed, and how success will be measured.
Use-case clarity
We help decide where AI should be used, where it should not, and what outcome the system must improve.
Governed implementation
Review points, data boundaries, auditability, and escalation paths are designed before workflows go live.
Operational fit
We build around existing tools, staff habits, approvals, and customer-facing constraints.
Measured adoption
Success metrics are defined early: time saved, quality improved, risk reduced, adoption, or revenue created.
Latest Insights
Notes on AI adoption, workflow automation, governance, and production delivery.
Ready to turn an AI idea into a working system?
Talk through the workflow, risk boundaries, adoption path, and measurable outcome before you commit to building.
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