AI automation & training
Automate the work. Train the team. Scale without headcount.
AI automation and training is a fixed-scope project in which Growth Mode audits your operations, builds AI automations into the workflows that matter most, and trains your team to run and extend them. It suits founders and operations or marketing teams at B2B companies who want AI embedded in lead qualification, reporting, content and support, not used ad hoc. Most engagements run eight to twelve weeks end to end.
AI Audit
A structured review of your current operations, tools, workflows, and data sources to identify where AI creates the most commercial leverage. Output: a prioritised AI implementation roadmap with estimated impact per workstream. Not a theoretical framework: a build list.
AI Training Workshops
Practical, hands-on workshops for teams at every level. Not theory sessions about what AI might do, but live sessions where your team builds and deploys real workflows during the workshop itself. We cover prompt engineering, AI tool selection, workflow design, and output quality control.
AI Chief of Staff
An AI-powered chief of staff built and embedded directly into your business operations. Monitors priorities, prepares meeting briefs, surfaces anomalies in data, tracks action items, and generates executive summaries. Built on Claude agents with integrations into your calendar, CRM, and reporting stack.
Content Production Systems
End-to-end AI content workflows, from ideation and research through to publication. Research agents that monitor competitors and surface topics. Draft generation that matches your brand voice. Editing workflows that maintain quality at scale. Deployed for B2B SaaS, fintech, and martech clients.
AI Dashboards & Analysis Workflows
Custom AI-powered dashboards that pull from your data sources (CRM, analytics, finance, product usage), surface the metrics that matter, and generate automated insights and anomaly alerts. No more building reports manually. No more waiting for the analyst to finish before making a decision.
Where does AI automation add most value?
Most businesses are using AI as a search engine. The ones pulling ahead are using it as an operating system. There's a material difference between a team that uses ChatGPT to write emails and a business where AI is embedded into the core workflows, running lead qualification, generating reports, producing content, and surfacing decisions before they're needed. We close that gap.
The businesses getting the biggest returns from AI are not the ones using the most tools. They're the ones who've identified the two or three workflows where AI can multiply output or remove a human bottleneck entirely, and then built those properly.
The most common high-impact areas we find in audits: outbound sales sequences and lead qualification, content production and publishing, data analysis and reporting, customer support triage, and internal knowledge management. The specific wins vary by business; the audit tells us where yours are.
1. AI Audit
We map your current operations and identify the highest-value automation opportunities. Delivered as a prioritised implementation roadmap within two weeks.
2. Workflow Design
We design the automation architecture (tools, triggers, agents, integrations, and quality controls) before building anything. You see and approve the blueprint first.
3. Build & Deploy
We build the automations, connect them to your existing stack, test edge cases, and deploy. You get working systems, not prototypes.
4. Train & Hand Over
Your team learns to run, manage, and extend the systems we've built. Documentation, training sessions, and ongoing support included.
Who is AI automation and training for?
- Founders who know AI should be doing more in their business but aren't sure where to focus first.
- Operations and marketing teams spending too much time on manual, repetitive work that should be automated.
- Leadership teams who want their people using AI effectively and consistently, not just occasionally when someone remembers to try it.
- Businesses that have bought AI tools but haven't seen the commercial impact they expected, because the tools are being used in isolation rather than as an integrated system.
Related work
We built the Pluggin agentic automation platform, a system that turns natural language into packaged AI workflow automations using Claude MCP integration. We also delivered the outbound automation and lead scoring system for a Venture Capital deal flow programme, processing 3,000+ qualified business owners through a four-channel AI-powered pipeline.
For broader context on where AI automation is heading economically, read The Inevitable Destination, a long-form analysis of where AI, robotics, and automation are taking the economy over the next decade.
Frequently asked questions
What business processes can you automate with AI?
The highest-impact areas we find in audits are: outbound sales sequences and lead qualification, content production and publishing, data analysis and reporting, customer support triage, internal knowledge management, and executive briefing and meeting preparation. The specific wins vary by business, and our AI audit identifies where your highest-leverage opportunities are.
How does the AI training work?
Our training is practical and hands-on, not slide decks about what AI might do. We run live sessions where your team builds and deploys real workflows during the workshop. We cover prompt engineering, AI tool selection for your specific use cases, workflow design, and output quality control. By the end, your team is running the systems, not just aware of them.
How long does an AI automation project take?
The initial AI audit takes one to two weeks and produces a prioritised implementation roadmap. Building and deploying a core set of automations typically takes four to eight weeks. Training your team to run and extend the systems adds another two to four weeks. Most engagements run eight to twelve weeks end-to-end.
Do we need existing technical infrastructure to get started?
No. We design the automation architecture around what you already have: your CRM, communication tools, data sources, and existing workflows. We integrate AI into your current stack rather than replacing it. The audit phase is specifically designed to map what you have before we design anything.