How AI Will Change JABA - Now and Next

By Adrian Adams, Founder & Creative Director, JABA Web Design

We’ve been adapting since 1995 — from Dreamweaver to our own CMS, from static sites to PWAs. AI is the next big shift. At JABA we’re open to it, excited by it, and honest about one thing: we’re still working out what it means for people’s roles and careers. This post maps out the short-term changes already arriving, the long-term direction we see, the risks to manage, and how jobs evolve rather than disappear.

The short term (next 6–12 months): AI as a productivity layer

AI will sit beside the team, not instead of the team. Expect meaningful time savings and better first drafts — with humans still accountable for quality.

Designers

• Faster concepting: generate moodboards, colourways, icon ideas and alt-text options in minutes.
• Layout nudges & accessibility checks: suggestions to improve hierarchy, contrast, and WCAG compliance.
• Asset clean-up: upscale, background removal, and batch variants for social and ads.

Project Managers

• Meeting capture & actioning: auto-notes, task extraction, RAID logs, status summaries.
• Scope control: change requests summarised with effort/impact options to cut project creep.
• Forecasting: light scenario planning on timelines and resourcing.

Developers

• Code assist: scaffolding components, tests, and documentation; quick refactors; safer migrations.
• PWA accelerators: service-worker templates, caching strategies, and Core Web Vitals diagnostics.
• QA boost: generate unit/integration tests and synthetic data for tricky edge cases.

Sales & Account

• Proposal drafting: tailored outlines, keyword ideas, schema snippets, and FAQ seeds.
• Insight reporting: plain-English summaries of performance dashboards, seasonality, and next actions.
• Call notes: concise follow-ups with agreed actions and dates.

What stays human: strategy, brand voice, taste, legal/compliance sign-off, and final quality control.

The long term (2–5 years): products, not just projects

AI shifts from “helper” to part of the product:

• CMSv7 with an “AI mode”: conversational editing (“rewrite this paragraph for tradies”), automated alt-text, structured data, image variants, and tone controls — all logged and reviewable.
• Personalised experiences: PWAs that adapt content and journeys to context, with strict privacy controls.
• Component marketplaces: pre-vetted modules (search, forms, chat, pricing, bookings) that self-configure via AI.
• Smaller project teams: more leverage per person; stronger focus on design systems, governance and client outcomes.
• New roles: Experience Engineer (design + data), AI Product Lead (outcomes + safety), and Automation Developer (glue code, pipelines, guardrails).

Risks to manage (and how we’ll handle them)

• Accuracy & “hallucinations”: AI can be wrong. We’ll use human review by default, plus fact-checking tools for regulated content.
• Privacy & IP: no client data in public tools; we’ll prefer Azure-hosted AI with data controls, keep code inside Azure, and log prompts/outputs.
• Bias & brand safety: prompt libraries, tone guardrails, and red-team checks for sensitive categories.
• Compliance: align to Australian Privacy Act/OAIC guidance; clear disclosure when AI assists content.
• Security: role-based access, key vaults, code stays in the cloud (Dev Boxes/AVD), audit trails and incident response playbooks.

What this means for people and careers

We don’t see a future with fewer people; we see a future where people do higher-value work.

Designers → Design + Systems

• Less time pushing pixels; more time on design systems, motion, accessibility, and data-informed UX.
• Upskill: prompt craft, accessibility, design tokens, UX research synthesis.

Project Managers → PM + Orchestration

• Less admin; more stakeholder alignment, scope governance, risk management and outcomes.
• Upskill: AI-assisted planning, change control, measurement, and facilitation.

Developers → Developer + Platform

• Less boilerplate; more architecture, performance, security, integration and code review.
• Upskill: PWA internals, CI/CD, observability, API design, secure coding, light MLOps.

Sales/Account → Advisor + Value

• Less proposal busywork; more discovery, business cases, ROI modelling and long-term partnerships.
• Upskill: analytics storytelling, market research, and solution packaging.

Our plan at JABA

Next 90 days

• Draft and publish an AI usage policy (privacy, approvals, logging, disclosure).
• Pilot AI tools per role; pick a secure Azure AI stack; keep code/data in Azure.
• Add AI assists to CMSv7: alt-text, meta descriptions, copy suggestions, schema hints.

Next 12 months

• Launch JABA Copilot for CMSv7 (conversational editing with approval workflows).
• Build an AI component library for PWAs (search, chat, forms, content personalisation).
• Run quarterly skills sprints for design, PM, dev and sales.

2–3 years

• Productise managed AI services: content ops, on-site search, chat, and analytics insights.
• Offer governed personalisation in PWAs with privacy-first controls and clear consent.

How clients benefit

• Faster delivery with tighter budgets.
• Cleaner, faster PWAs that are easier to edit.
• Better content quality and accessibility.
• Clear reporting that explains what to do next — not just what happened.

Final thought: adapt (again), with care

We’ve thrived for nearly three decades by adapting early and keeping quality high. AI won’t change that. It simply raises the bar on speed, clarity and craft. Our commitment remains the same: trusted advice, excellent execution, and websites and apps that work brilliantly for your users.

If you’re curious about how AI could improve your site, your content, or your workflow, let’s talk. And if you’re a designer, PM, developer or salesperson wondering what this means for your career — we’re learning too. Come learn with us.