Where AI belongs - and where it doesn't.
Every vendor is selling you AI right now. Our job is different: look at how your business actually runs, find the places where a model genuinely pays for itself, and be blunt about the places where it doesn't. Then build the winning use cases into the tools you already use - with evals proving they work.
AI opportunity audit
A structured pass over your workflows scoring each candidate use case by ROI, risk, and effort - delivered as a written report you own.
CRM & support integration
AI drafting, summarizing, and enriching inside HubSpot, Salesforce, Zendesk, or your in-house tools - where your team already lives.
Agent systems
Multi-step agents that research, decide, and act with guardrails, audit logs, and human approval gates on anything irreversible.
Eval frameworks
Evaluation tools that measure answer quality on your data and make it easier to compare model and prompt changes.
Build vs. buy guidance
Honest analysis of when an off-the-shelf tool wins and when custom is worth it - including when the answer costs us the project.
Typical stack
Timeline
Audit: 1–2 weeks. Integration builds: 2–6 weeks per use case.
We're not sure what AI could even do for us. Too early?
That's exactly when the audit is worth the most - before budget gets burned on a use case that was never going to pay off.
How do you measure whether it's working?
Every integration ships with evals and business metrics defined up front - deflection rate, hours saved, error rate. If we can't measure it, we say so before building it.
What about our data and privacy?
We design for data minimization: models see only what a task needs, with redaction where warranted, and we'll tell you plainly what each vendor's terms mean for your data.
Have a ai integration & strategy problem in mind? Let's scope it.