Integrations vs. agents
ChatGPT and Claude integrations that fit your operations. MCP servers or in-house AI agents handling real work. Initial production experiments that prove the technology belongs in your business.
Critical path deliverables
Some visions are achievable right now. Some may unlock next week. Knowing the difference matters more than chasing hype.
Positioned for what's next
The agentic ecosystem is moving fast. Getting a foot in the door positions you to move quickly when the next capability lands.
Recent client case study
From experiment to budget line.
Start with something you can ship. Prove it works. Use that proof to unlock the next step. Every engagement builds evidence for the budget.
Understanding what's possible
A luxury travel agency with eight-figure turnover wanted AI on their roadmap. They had ambition but questions around what was achievable now versus what to wait for.
A production integration
We started small. A working integration of their existing systems into ChatGPT. Real data, real workflows, real output. Something the team could use and the board could see.
Budget secured for agent integration
The experiment proved value. The board approved budget for a deeper integration: AI agents embedded into their website and customer-facing operations.
Commercial clarity, built in.
A working implementation answers the technical question. You also need to walk into the next board meeting with a clear picture.
What's achievable now
Clear assessment of what you can ship today.
What's worth investing in next
Prioritised roadmap for your next moves.
What to leave alone
Honest advice on where not to spend.
Practical implementation, future clarity for you, and confidence for the people holding the purse strings.
Partners
I have, in my network, experienced development and business partners who extend what I can deliver. When your project needs a bigger production team or broader strategic input, the right people are already in the conversation.