AI Strategy
Know where AI fits before you spend.
Most AI projects fail because they start with a solution. We start with your data, your workflows, and a clear ROI model.
Free, no commitment. Takes about 30 seconds.
What this is
A roadmap, not a pilot that goes nowhere.
AI consulting with us means you leave with a prioritized use-case list, a data readiness score, and a build/buy/partner recommendation for each opportunity. We've done enough of these to know which AI bets pay off and which ones look good in a deck but stall in production.
What we cover
What an AI assessment actually delivers
Use-case identification
Map your workflows to specific AI opportunity types: prediction, classification, automation, search, generation.
Data readiness audit
Assess data volume, quality, labeling requirements, and gaps. Know exactly what you have before you commit to building.
ROI modeling
Quantify expected impact per use case: cost saved, revenue influenced, time recovered. Numbers you can defend in a meeting.
Build / buy / partner
For each opportunity, we give a clear recommendation. Some things you should build. Some you should buy. We won't upsell you on the wrong one.
Phased roadmap
A sequenced plan with effort estimates, dependencies, and risk flags. Not a wishlist: a plan you can actually execute.
Risk and compliance
Identify regulatory, bias, and security risks per use case before they become problems in production.
Tools we use
Assessment tooling
Process
How a consulting engagement works
step 01
Discovery call
30-minute call to understand your business, existing stack, and what you've already tried.
step 02
Data and workflow audit
We review your available data sources and document 5-10 workflows worth assessing for AI potential.
step 03
Use-case scoring
We score each opportunity on feasibility, data readiness, expected ROI, and effort. You see the full ranking.
step 04
Roadmap delivery
A written document with prioritized use cases, data requirements, and a phased build plan. Includes a Q&A session.
Before you decide
The doubts everyone has before hiring us.
And what we do about each one.
AI projects never make it past the prototype.
Your data is assessed in the first week, and you get an honest answer on whether there is enough signal to build something useful.
Data assessment in week oneThis will just be a chatbot on top of an API.
Language models are used when they fit, like text and language tasks.
The right tool for the problemOur data is too sensitive to leave our infrastructure.
Model training can run entirely in your cloud, so your data never leaves your infrastructure.
We'll end up locked in to you.
Trained weights, training code, data pipelines and all documentation transfer to you on delivery.
Models and code are yours
FAQ
Common questions
Start here
Find out what AI is actually worth building.
A 30-minute call gets you a clear picture of your options.
What happens next
- 1
You tell us what you need. It takes about 2 minutes.
- 2
A real person replies within 4 business hours.
- 3
A 30-minute call to understand the project and agree on next steps.
