Learn Hub — concepts and pipelines

Learn Hub

Multi-tool pipelines that work

The point isn't to pick one AI — it's to chain them. These are the pipelines we use with Australian SMEs every week.

Research to Report

1. Perplexity — Research with citations 2. Claude — Analyze and structure findings 3. ChatGPT — Write polished final report

Content Creation Pipeline

1. ChatGPT — Brainstorm ideas and outlines 2. Claude — Draft detailed content 3. Gemini — Generate images and visuals

Customer Email Response

1. Claude — Analyze customer sentiment and needs 2. ChatGPT — Draft professional reply 3. You — Review and personalize

Competitor Analysis

1. Perplexity — Gather competitor data 2. Claude — SWOT analysis 3. Gemini — Create comparison spreadsheet

Social Media Content

1. ChatGPT — Generate content ideas 2. Claude — Write engaging posts 3. Scheduler — Batch schedule for the week

Invoice Processing Workflow

1. Claude — Upload PDF invoice and extract data 2. Claude — Map columns to accounting software format 3. Claude — Generate CSV with GST breakdowns 4. You — Verify totals and import into QuickBooks/Xero

M365 Meeting-to-Action Pipeline

1. Teams Copilot — Auto-transcribe and summarise meeting 2. Copilot (Outlook) — Draft follow-up emails from action items 3. Copilot (Word) — Generate meeting minutes document 4. You — Review, approve, and distribute

M365 Data Analysis Pipeline

1. Copilot (Excel) — Analyse dataset with natural language queries 2. Copilot (Excel) — Generate pivot tables and visualisations 3. Copilot (PowerPoint) — Create presentation from analysis 4. You — Refine narrative and present to stakeholders

Security Incident Response

1. Security Copilot — Triage alert and assess threat severity 2. Security Copilot — Hunt for related indicators across tenant 3. Security Copilot — Generate incident report with remediation steps 4. You — Execute remediation and close incident

Sales Research to Outreach

1. Perplexity — Research prospect company and recent news 2. Claude — Analyse company challenges and build value prop 3. Copilot (Outlook) — Draft personalised outreach sequence 4. You — Personalise final touches and send

Quick-start guides

How to set up ChatGPT for business

Create a team account, configure privacy settings, and set up custom instructions for your business context.

Privacy settings checklist

Essential privacy configurations for ChatGPT, Claude, and Gemini to protect your business data.

First 5 prompts to try

Start with these beginner-friendly prompts: summarize emails, draft responses, brainstorm ideas, create checklists, explain concepts.

Common mistakes to avoid

Don't share sensitive data, verify all facts, avoid vague prompts, remember AI limitations, and always review outputs.

Role playbooks

Operations Manager Playbook

Streamline processes, automate reporting, and improve team coordination

Quick wins:

Recommended tools: Claude for strategy docs, M365 Copilot for Teams meeting summaries, Gemini for spreadsheet analysis, ChatGPT for meeting transcripts Estimated time saved: 5-10 hours/week > Operations tasks are among the 44 occupations where AI rivals expert-level quality (GDPval)

Finance & Bookkeeper Playbook

Speed up reconciliation, automate expense categorization, and draft financial reports

Quick wins:

Recommended tools: M365 Copilot for Finance for variance analysis, Gemini for Google Sheets formulas, Claude for report writing, ChatGPT for email drafting Estimated time saved: 4-8 hours/week > Finance professionals see a 56% wage premium for AI skills (PwC 2025)

Marketing Manager Playbook

Create content faster, analyze campaigns, and personalize messaging at scale

Quick wins:

Recommended tools: Claude for long-form content, ChatGPT + DALL-E for visuals, Perplexity for research Estimated time saved: 6-12 hours/week > Marketing tasks average 7 hours of expert work - AI completes in minutes (GDPval)

Admin & Reception Playbook

Handle routine inquiries, schedule appointments, and manage correspondence

Quick wins:

Recommended tools: M365 Copilot for Outlook drafting, Gemini for Gmail integration, Trillet.ai or ElevenLabs for phone calls, ChatGPT for templates Estimated time saved: 3-6 hours/week > Office Admin ranks in top industries for AI augmentation (Anthropic Economic Index)

IT & Helpdesk Playbook

Automate Tier-1 support, speed up incident response, and reduce ticket volume

Quick wins:

Recommended tools: Copilot Studio for chatbot agents, Security Copilot for threat detection, Claude for documentation writing Estimated time saved: 8-15 hours/week > Tier-1 ticket deflection rates of 40-60% are common with AI chatbots (Gartner 2025)

Sales & Business Development Playbook

Research prospects, personalise outreach, and accelerate pipeline

Quick wins:

Recommended tools: Perplexity for competitive research, M365 Copilot for Sales for pipeline, Claude for value prop crafting, ChatGPT for email sequences Estimated time saved: 6-10 hours/week > Sales teams using AI for research report 50% less time on manual preparation (Salesforce 2025)

Legal & Compliance Playbook

Accelerate contract review, policy research, and regulatory compliance

Quick wins:

Recommended tools: Claude for contract analysis (200K context), Perplexity for regulatory research, M365 Copilot for policy document drafting Estimated time saved: 5-10 hours/week > Legal document review is among the highest-ROI AI use cases with Claude's low hallucination rate

Software Engineering Playbook

Accelerate development, improve code quality, and automate testing

Quick wins:

Recommended tools: GitHub Copilot for IDE autocompletion, Claude Code for architecture, ChatGPT for brainstorming solutions, Perplexity for API documentation research Estimated time saved: 8-15 hours/week > Developers using GitHub Copilot report 30-55% faster coding (GitHub 2025 survey)

Featured deep-dive articles

Architecting the Agentic Small Business

Move from AI assistants to AI systems — the General Harness Loop, player-coaches, and company world models for SMEs.

Blueprint for an AI-Native Engineering Org

The structure shift in software engineering — from AI-assisted to AI-agentic workflows. Roles, tech stack, and the 2026 engineering org.