AI Automation Consulting
AI automation consultant focused on value, not theatre.
Working with me as your AI automation consultant means finding the AI and process automation use cases that actually save money or make money, not the ones that look impressive in a slide deck. From opportunity scan to production-ready automation, no innovation-theatre PoCs.
In plain terms
Five terms worth clarifying before the first call, no marketing spin.
AI automation consultant
An AI automation consultant helps companies find, evaluate and implement use cases for artificial intelligence and automation. The work covers three layers: strategic prioritisation, selecting the right models and tools, and implementation support including data protection and change management. Unlike a pure tool vendor, an AI automation consultant clarifies the business problem first and picks the technology second.
AI consulting vs. process automation
AI consulting answers the strategic question of where artificial intelligence makes sense for a business. Process automation implements that decision technically, letting individual workflows like invoice processing or scheduling run without manual work. In practice the two feed each other: AI consulting draws the map, process automation builds the roads.
AI agent
An AI agent is an AI system that plans a task on its own, calls tools or interfaces, and checks the result, instead of just answering a single query. Unlike a chatbot, an agent works in multiple steps: it breaks a goal into sub-tasks, calls external systems for each one, and adjusts its approach when a step fails. In practice, agents today handle clearly scoped tasks like invoice checks, research or data reconciliation, not entire departments.
AI rollout in a company
An AI rollout pays off once a manual task happens at enough volume to noticeably cost time or create error costs. The honest starting point is one clearly scoped use case with a defined before-and-after, not a company-wide AI programme without a business case. Running a scoping session before buying a tool avoids the most expensive mistake: investing in a solution without a matching problem.
Data protection and governance in AI
Data protection and governance decide whether an AI solution ever leaves the test phase. The key questions: where is data processed, is there a data processing agreement with the AI vendor, and who inside the company owns sign-off. This clarification belongs at the start of a project, not the end: a solution without governance sign-off is expensive to retrofit later.
What you get
Use case discovery
Structured identification of AI and automation opportunities along your value chain. Scored by effort, impact and feasibility.
AI strategy
Where generative AI makes sense, where it doesn't. Make-or-buy, data protection, governance and a plan that fits your company.
Process automation
Concrete automation of marketing, sales, ops and back-office. From n8n and Make to GPT agents and custom integrations.
Enablement
Training, prompt libraries and guidelines so all your teams use AI confidently, not just marketing.
How I work
Opportunity scan
Workshops and process mapping. Output: prioritised use cases with expected ROI, not a generic AI vision.
Pilot
Fast build of a production-ready prototype. Testable in real workflows within four to eight weeks.
Scale
Successful pilots are hardened, documented and integrated into your tool stack.
Enable
Handover to your teams with training, prompt library and clear ownership.
Who this is for
- Marketing and sales teams that want to automate routine work
- Leadership teams that need an honest read on the AI hype
- Mid-market companies with heavy manual effort in ops and back-office
- Agencies and service businesses that want to scale delivery with AI
- Startups embedding AI as a core part of their product
Frequently asked questions about AI consulting
How does working with an AI automation consultant work?
Every engagement starts with an opportunity scan, followed by a production-ready pilot within four to eight weeks. Only once the pilot works in daily operations does it get scaled and handed over to your team.
What does AI consulting cost?
It depends on scope, from a one-day opportunity scan to months of implementation support. I clarify the scope with you in a free intro call, then you get a concrete proposal.
Do I need a digital strategy before starting with AI?
Not necessarily, but clean digital processes and data are the foundation of any working AI automation. If a process still runs on paper or scattered spreadsheets, I fix that with you first, otherwise you're automating chaos.
What's the difference between an AI automation consultant and an AI agency?
An AI agency builds and ships projects technically, usually with a team. As an AI automation consultant I work strategically: I help you find and prioritise the right use cases, and bring in specialised partners for technical delivery when needed.
How fast does an AI rollout show results?
A good pilot is testable in daily operations within four to eight weeks. Whether the case pays off usually shows within the first weeks of real use, not after a months-long mega-project.
Overview
Digital Transformation
Digital Transformation Consulting
Strategy, roadmap and execution for leadership teams that treat digital as a competitive advantage, not an IT project.
Digital ConsultingWorkflows
Process Automation
Workflows that connect several steps and run without manual work. From n8n and Make to API integration with the systems you already use.
Process AutomationMarketing Leadership
Fractional & Interim CMO
Marketing leadership on demand for startups and scale-ups. Positioning, team building and performance, without a full-time hire.
Interim CMOAI consulting without the buzzword bingo?
In the intro call I'll show you where AI and process automation would actually move the needle for your business.
Book a discovery call