High‑impact AI opportunities prioritized for you
To your first working pilot in production‑like conditions
Typical investment range for full program
From “we should use AI” to “we know what works here”
Not ready for a full AI project? Start with a readiness assessment and proof-of-concept. We'll identify your best opportunities, build a 90-day roadmap, and launch your first working AI in 8 weeks.
We score how ready you are for AI today and where the blockers are—data, processes, skills, or tools.
You get a short, written summary that says what’s possible now, what’s not, and what to fix first.
We outline 3–5 AI ideas, ranked by impact and ease.
You see what each would cost, how long it would take, and whether you should build it or buy it.
We pick one high‑impact, low‑risk idea and build a simple but real version in weeks 5–8.
It runs on your data, in your workflows, and we measure basics like hours saved, speed, and quality.
We teach your team how to spot future AI opportunities, what good AI projects look like, and how to manage them safely.
The goal is that you feel confident continuing with or without us.
Launch your first orchestrated agent system in 8-12 weeks. See measurable ROI—hours saved, cycle time compressed, fewer dropped tasks—from week one.
Problem: Support reps spend 30% of their time on common, repeat questions.
Pilot: A simple chatbot handles the top 10 questions and sends tricky ones to humans.
Result: ~15 hours a week saved and faster replies for customers.
Problem: Finance team spends 20 hours a week entering invoice data and checking for mistakes.
Pilot: AI reads invoices, fills in fields, and checks accuracy.
Result: ~12 hours a week saved and error rates down about 60%.”
Problem: Sales reps manually update CRM and track deals.
Pilot: AI updates the CRM from emails and flags stalled deals.
Result: ~8 hours a week saved and deals moving faster.
Problem: Legal/HR teams spend 25 hours a week reviewing and sorting documents.
Pilot: AI extracts key info from contracts or resumes and auto‑classifies them.
Result: ~18 hours a week saved and faster hiring/approvals.
Make it easy and affordable for normal companies—not just giants—to test AI in 90 days or less.
Every mid‑market company should know, from real pilots, where AI helps them and where it doesn’t, and have a plan to scale what works.
