Transform · 60-Minute Session · Custom Pricing
One session. We tell you exactly which AI tools to use for your team's specific workflows. Not a comparison chart. Not a vendor briefing. A concrete recommendation you can act on tomorrow.
The Problem
Every week there's a new AI tool. The comparison articles compare features without context. The vendor demos show their product solving a problem that's suspiciously similar to what they're best at. The Reddit threads are full of strong opinions and zero accountability.
The result is that most teams either pick a tool based on brand name and stick with it regardless of fit, or spend months in a rotating evaluation that never lands. Either way, they're not building.
The advisory cuts through that. You describe your workflows. I tell you what to use.
The Session
Your workflows and constraints (20 min)
You describe how your team works: what they're trying to build or automate, what existing tools you're already using, your data environment, your IT security requirements, and your team's technical comfort level. The goal is enough context to make a recommendation that actually fits your situation.
The recommendation (30 min)
Based on what you've described, I give you a concrete recommendation for each workflow: which tool, why, and what the tradeoffs are. This includes the questions most teams don't think to ask, like what happens to your data, how the tool handles edge cases, and what the failure mode looks like.
Questions and the written memo (10 min + follow-up)
You ask anything you want about the recommendations. Within 24 hours, you receive a written memo summarising the tool choices, the reasoning, and the suggested rollout sequence. Something you can share with your team or present to your IT function.
Common Questions
For your specific use case, which frontier model should your team be using, and why. The answer is almost never "whichever one you've heard of most."
Lovable, Bolt, Cursor, v0, Replit. Which one fits your team's technical level, your deployment requirements, and the kind of tools you're trying to build?
n8n, Make, Zapier, or something more custom. The choice depends heavily on your existing tech stack and how much your team wants to maintain.
If your use case involves working with documents, spreadsheets, or databases, there are tools built specifically for that and tools you can make work but shouldn't rely on.
What actually happens to your data when you send it to these tools. Which products have enterprise agreements, audit logs, and zero-retention options. The parts vendors undersell.
Most teams are paying for AI tools they barely use. Part of the advisory is identifying what to stop paying for and what the consolidation looks like.
Who Books This
The advisory is useful at any stage. Some teams book it before starting any AI work, to get their starting point right. Others book it after several months of ad hoc tool adoption, when things have gotten messy and they want clarity on what to standardise.
It works for team leads, IT leaders, operations managers, and business owners. The common thread is that you're making tool decisions that affect multiple people, and you want a recommendation from someone who has used the tools in real business contexts, not just evaluated them on paper.
If you're an individual trying to figure out which tool to use for your own work, the Build Sprint is probably the better starting point. You'll answer that question in 90 minutes by actually building something.
We had six different AI subscriptions across the team and nobody could explain why we had any of them. The advisory session identified two to keep, two to cancel, and told us exactly what to switch to. Paid for itself in the first month on subscription savings alone.
Head of Strategy, Management Consulting Firm
No comparison charts. No vendor pitch. Just a direct answer to what your team should use and why.