What is the 100 AI Automations?
The 100 AI Automations is a practical map of one hundred workflows that AI can assist, automate, monitor or improve across a business, ordered so a team knows what to automate first. The 100 AI Automations is not a tools list. It is a workflow library covering sales, CRM, WhatsApp, support, marketing, finance, operations, HR, reporting and management.
Most businesses already know that AI belongs somewhere in the operation. Far fewer know where to begin, so effort goes to scattered pilots while the work underneath stays messy. The 100 AI Automations replaces that guesswork with a shortlist. Every idea gets scored by value, risk, data readiness, complexity and adoption effort before a single workflow is built, and every idea connects to a business outcome rather than to a tool. We work through the map with South African teams from Cape Town, and we have delivered systems this way for 35+ companies over 3+ years.
How does the 100 AI Automations work in practice?
The 100 AI Automations works as a three-step sequence: discovery, scoring, then a staged implementation plan. Discovery walks each department and marks which of the hundred workflows are already manual, messy, slow or repeated. Nothing gets built during discovery. The first job is an honest picture of where the hours actually go.
Scoring comes next. Each candidate is ranked by time saved, revenue impact, customer impact, risk level, data readiness, build complexity, team adoption and approval needs. A workflow that touches pricing, payments, complaints, personal data or legal wording scores differently to one that files a document. The roadmap then stages what survives the scoring. Quick wins launch first to prove value, sensitive workflows sit behind approval gates and governance, and progress is tracked on a dashboard that shows which automations are planned, live, failing or waiting on a person. The next recommendation always comes from evidence, never from a wish list.
Which workflows does the 100 AI Automations cover?
The 100 AI Automations covers ten categories of ten workflows each, spanning sales, CRM, quotes, WhatsApp, support, marketing, finance, operations, HR, reporting, meetings and management. Every category is a real department, not a theme. Each workflow is written the way the team already describes the job, so the map reads as work rather than as software.
Sales and CRM cover lead capture, qualification, quote follow-up, pipeline hygiene, missing fields and customer reactivation. WhatsApp and support cover triage, first response, ticket routing, escalation and status updates. Finance covers invoice reminders, payment nudges, statement requests and reconciliation prep. Marketing covers content briefs, campaign follow-through and review requests. Operations, HR and reporting cover scheduling, document handling, onboarding packs, meeting notes and recurring dashboards. Management sits on top, tracking what is live, what is failing and what should come next. The map is deliberately broad so nothing obvious gets missed in the first pass.
Does the 100 AI Automations connect to our existing tools?
The 100 AI Automations is built into the systems a business already runs, not sold as a replacement for them. Integration is the core of the work. Connections include GoHighLevel, LeadConnector, InOne CRM, HubSpot, Salesforce, Zoho and Pipedrive for customer records, WhatsApp Business API and Twilio for messaging, and Gmail, Outlook, Google Calendar, Microsoft Teams and Slack for the day to day.
Voice runs through VAPI, Retell or ElevenLabs. Support runs through Freshdesk, Zendesk or Intercom, ecommerce through Shopify or WooCommerce, and finance through Xero, QuickBooks, Sage, Syspro or SAP. Operational data lives in Google Sheets, Airtable, Notion, ClickUp, Monday.com, Asana or Jira, reporting in Power BI or Looker Studio, and anything needing its own home in Supabase or PostgreSQL. The steps themselves are assembled in n8n, Make, Zapier, Power Automate or custom APIs. The systems the business already trusts stay the source of truth.
Which automations need human approval, and is this POPIA compliant?
Some workflows on the 100 AI Automations map should stay AI-assisted rather than fully automated. Refunds, discounts, pricing changes, legal wording, complaints and high-value deals draft for review and then wait for a person to approve. One hundred automations is a map, not a launch plan. Automating everything is how trust gets spent early.
The roadmap we build is POPIA-aware from the first design session. Consent is captured explicitly with source and time stamps, automated messages carry clear opt-out wording, and template usage is logged so an audit can show what was sent and when. Each journey collects only the fields that journey needs, retention windows delete records on time, and access controls, audit logs, escalation paths and rollback rules record who changed what. Data is encrypted in transit and at rest, webhooks are signed, and a banned claims list keeps automated wording inside the boundary the business sets.
How does a business start with the 100 AI Automations?
Starting with the 100 AI Automations is a checklist, not a contract. The strongest first step is the automation checklist, a priority score and a thirty, sixty and ninety day roadmap. Walk the hundred workflows and mark the ones that are already manual, messy, slow or repeated. That conversation costs nothing and usually takes under an hour.
Scoring follows: time saved, revenue impact, customer impact, risk and build complexity for every marked workflow. Choose the first five to ten that are low-risk, high-value and easy to implement, and prioritise the revenue workflows inside that set, such as lead recovery, quote follow-ups, invoice reminders and customer reactivation. Fix the data underneath them first, since duplicate records, missing fields and poor tagging break automation faster than anything else. Set the approval rules, launch, measure, then expand. The business owns everything we build: workflows, prompts and data.
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