AI Consulting Services
Expert AI consulting from strategy to production. I help businesses adopt AI with confidence, focusing on real-world value over hype.
AI consulting helps a business work out where AI and automation will actually pay off, then delivers it. In practice that means rapid discovery of your highest-value opportunity, a working solution built and deployed in weeks, and knowledge transfer so your team can carry on - measurable ROI, not a strategy deck.
Want AI But Don't Know Where to Start?
Most businesses know AI can help but struggle with where to begin. Which processes should we automate? Which tools should we use? How do we ensure success? With 20 years delivering technology solutions, I've seen what works and what doesn't.
My approach: rapidly understand your business context through discovery with senior stakeholders, identify your highest-value automation opportunity, deliver a working solution in weeks, then either scale it with you or transfer knowledge to your team. No dependencies. No junior analysts. Just practical automation that pays for itself.
How I work with you
I don't sell a methodology - I deliver working systems. Most first engagements run as a fixed-price project of 5-20 days spread across 4-8 weeks; longer programmes run as fractional leadership on a day rate. Either way the shape is the same three phases:
Rapid discovery and business context (weeks 1-2)
I work with senior stakeholders (non-technical friendly) to understand your operations, identify bottlenecks, and pinpoint the automation opportunities with highest ROI. You get a clear roadmap prioritising quick wins that pay for themselves.
Hands-on implementation (weeks 3-6)
I build and deploy working solutions - not prototypes, not recommendations. This might include: CRM automation, document processing, sales qualification, support ticket routing, month-end close automation, or AI tool adoption. All delivered with measurable ROI: 60-70% typical time savings, £15-50K+ annual value.
Knowledge transfer and team enablement (weeks 6-8)
Throughout the engagement, I upskill your team so they can own and expand solutions independently. Final weeks focus on documentation, training, and ensuring clean handoff. Success means your team continues without me.
AI use cases I implement
The shape of the work, by function. The case studies show what each has been worth in practice:
Customer Service & Support
- Intelligent chatbots and virtual assistants
- Automated email response and ticket triage
- Sentiment analysis and escalation routing
- Knowledge base search and recommendations
Sales & Marketing
- Lead scoring and qualification
- Personalised content generation
- Email campaign optimisation
- Competitive intelligence gathering
Operations & Finance
- Document processing and data extraction
- Automated reporting and analytics
- Fraud detection and risk assessment
- Process automation with intelligent routing
Product & Engineering
- Code generation and review assistance
- Automated testing and QA
- Technical documentation generation
- Bug triage and categorisation
Industries I work in
Over 20 years, I've delivered across many industries. My strength isn't deep specialisation in one sector - it's rapidly picking up business context and solving operational problems regardless of industry.
- Banking & financial services: fraud detection, compliance automation
- Retail & e-commerce: inventory optimisation, demand forecasting, personalisation
- Fintech & payments: transaction analysis, fraud prevention, process automation
- Professional services: document analysis, project estimation, resource allocation
- Media: content recommendation, audience analytics, campaign optimisation
- Technology & SaaS: product features, customer success, engineering productivity
- Compliance: automated monitoring, reporting, risk assessment
AI tools and technologies I work with
- Large language models: OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini), open-source models - chosen per task and kept swappable, so no provider is welded into your systems
- Automation platforms: n8n, Pipedream, Monday.com, custom API integrations - see the n8n vs Zapier vs Make comparison
- Cloud AI services: AWS Bedrock, Google Cloud AI, Azure AI
- Development: Python, JavaScript
Why Choose Goldseam for AI Consulting?
- Solo senior practitioner: You get me, not junior analysts. 20 years of hands-on experience, not theoretical frameworks.
- Real cost savings: I help you save money through operational automation, not become another consulting expense. Typical ROI: 60-70% time savings, £15-50K+ annual value.
- Fast delivery: Working solutions in weeks, not months. 3-month engagements with measurable results.
- Cross-industry experience: Rapid business context understanding regardless of sector. I bring proven patterns from fintech, B2B SaaS, professional services, and more.
- Knowledge transfer: I build your team's capability and exit cleanly. No dependencies, no lock-in.
- Hands-on implementation: I deliver working solutions, not PowerPoint decks. No slide-ware, just real business outcomes.
- UK-based: London-area with understanding of UK business context and data compliance.
Where to start reading
Most of the questions that come up before an engagement are answered in the insights. The ones that come up most:
- When is your business actually ready to automate a process? - the five-question test, before you spend anything
- How to run an AI pilot that pays for itself in 60 days - how I structure a first engagement
- Build vs buy vs integrate - the option most SMEs skip, and usually should not
- AI agents vs simple automation - why most "agent" problems are workflows
- What "vendor-agnostic AI" actually means - and the four tests that prove it
If AI consulting is not quite the shape you need, the services overview compares all five, or go straight to process automation if you already know which process is bleeding hours.
Common Questions
An AI consultant helps a business identify, plan and implement AI solutions: strategy, use case identification, tool selection, implementation, team training and ongoing tuning. I work across the full lifecycle, from first exploration to a system running in production - and I will tell you when the honest answer is that AI is not the right tool for the job.