STRATEGIC AI STARTER PROGRAM FOR MID‑MARKET TEAMS

Stop Losing Momentum to Endless AI Planning and Slide‑Deck Strategy

Run a focused 90‑day AI Strategy & PoC program that picks one smart starting point, ships a working pilot, and gives you a clear plan for what to do next.

Instead of a six‑month roadmap and a seven‑figure build, Dyntyx helps you test AI in your real workflows, train your team, and decide—based on data—where to double down.

Most AI roadmaps die before they touch production; our programs deliver a live PoC, a 90‑day rollout plan, and a more AI‑literate team in ~8 weeks.

3-5
Opportunities Prioritized

High‑impact AI opportunities prioritized for you

8
weeks
To First Pilot

To your first working pilot in production‑like conditions

25-50K
Typical Investment

Typical investment range for full program

90
days
From Idea to Insight

From “we should use AI” to “we know what works here”

HOW WE WORK

What you get

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.

AI Readiness Check

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.

1

90-Day Plan

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.

2

Proof‑of‑Concept Build

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.

3

Team Training & Upskilling

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.

4

Use Cases / Real Workflows

Launch your first orchestrated agent system in 8-12 weeks. See measurable ROI—hours saved, cycle time compressed, fewer dropped tasks—from week one.

Customer Service AI

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.

Data Entry & QA Automation

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%.”

Sales Ops Acceleration

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.

Document Processing

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.

Mission

Make it easy and affordable for normal companies—not just giants—to test AI in 90 days or less.

Vision

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.

Mission Image
faq’s

Frequently Asked Questions

1
What if we don't have technical expertise?
2
What's the difference between hiring consultants and building in-house?
3
How do we know if AI is right for our business?
4
Can you work with our existing tools?
5
How long does it take to deploy a working agent?
6
How do you measure success?