AI Consulting
For The Real Questions
Which use cases will generate ROI? How should you allocate AI spend? Build, buy, or rent? These are consulting-sized questions — not SaaS subscriptions.
We pair hands-on consulting with our quarterly buyer survey data so every recommendation is backed by what peers are actually doing — not what vendors are pitching.
Four ways we work with you.
Use Case Discovery
Find the AI use cases that actually generate revenue.
Most AI initiatives stall because they target the wrong workflows. We work alongside your team to identify, prioritize, and validate the use cases where AI creates measurable lift — not just incremental automation, but real revenue and cost impact.
Deliverables
- Use case identification across your operations
- Prioritization framework (ROI potential, feasibility, data readiness)
- Business case development for top 3-5 use cases
- Go/no-go recommendation with clear success metrics
You walk away with a ranked list of AI use cases and the business cases to fund them.
AI Spend Advisory
The $500K question: build, buy, or rent?
Should you be paying OpenAI per token, running open-source models on your own GPUs, or hiring a lab to build it in-house? That's a strategic decision that a dashboard can't answer. We help you model the total cost of ownership, benchmark against peers, and make the allocation decision with real data.
Deliverables
- Token spend audit across workflows and teams
- Cost modeling: commercial APIs vs open-source vs custom
- Peer benchmarks from our quarterly buyer survey
- Infrastructure allocation recommendation
You get a clear framework for how to allocate AI spend — and the peer data to back it up.
Vendor Evaluation
Vendor-agnostic analysis. No pay-to-play.
We evaluate AI vendors against your specific requirements — not generic quadrants. Our assessments combine hands-on testing with satisfaction data from our quarterly buyer survey, so you're making decisions based on what's actually working in production, not what looked good in a demo.
Deliverables
- Custom vendor scorecard for your use cases
- Hands-on platform testing and comparison
- Buyer survey data: satisfaction, switching intent, peer adoption
- Build-vs-buy analysis for each capability
A vendor recommendation backed by independent testing and real buyer data — not analyst opinion.
Field Brief
What enterprise buyers actually think — in one week.
You're building for enterprise compliance, fraud, or AI teams — but you can't get honest signal from the buyers you need to reach. We go into the field, talk to real practitioners in your ICP, and come back with a brief that tells you what they think, what they'd pay for, and what you're getting wrong. One question, one week, one deliverable.
Deliverables
- 30-min intake to scope your question
- 4-6 buyer conversations from our practitioner network
- Arcana Field Brief: the finding, the evidence, the recommendation
- 30-min debrief walkthrough
You get an honest, independent read on what enterprise buyers think — from a network you can't access on your own.
Every recommendation comes with peer data.
Most consultants give you opinions. We give you data. Our quarterly buyer survey collects spend benchmarks, vendor satisfaction scores, and adoption patterns from enterprise AI buyers across industries.
When we recommend a vendor, we know what peers are paying. When we flag a use case, we know who's gotten ROI from it. When we model build-vs-buy, we have the comparables.
Let's talk about your AI decisions.
Bring a use case, a spend question, or a vendor decision. We'll show you what we can do in 30 minutes.