Most companies know they need AI. But they don't know where to start. They don't have internal AI expertise. They're not sure which workflows are ready for automation. They're worried about deployment risk. So they stall. They read articles. They attend webinars. They debate whether to build in-house or use AI platforms. Meanwhile, competitors who started six months ago are already saving hours on their core workflows.
Dyntex built the AI Strategy & PoC program specifically for teams in this position. We start with an honest assessment: an AI readiness score from 1-100. How mature is your data? What's your team's technical capability? What are your biggest workflow bottlenecks? What's your risk tolerance? From that assessment, we create a 90-day transformation roadmap that identifies 3-5 quick-win opportunities you can pursue immediately.
Then we build your first proof-of-concept. We pick the highest-impact, lowest-risk workflow and build a working AI solution in 8 weeks. Not a prototype. Not a slide deck. A working agent or automation that your team can use immediately and see real results from. Hours saved. Cycle time improved. Bugs reduced. Something concrete you can point to and say "this is what AI can do for us."
That proof-of-concept becomes your proving ground. It builds internal momentum. It helps your team understand AI isn't magic—it's engineering. It gives you confidence to pursue the next opportunity on your roadmap. And it gives you a baseline to measure future projects against.
We also run training and upskilling as part of the engagement. Your team learns how to think about AI opportunities. They see how solutions get built. They understand guardrails and governance. By the end, you're not dependent on external consultants—you have internal capability and momentum to continue without us.
Agents that coordinate across tools and tasks. Each agent owns part of a workflow; together they own it end-to-end. No more isolated bots; true teamwork between agents.
Agents ground decisions in your proprietary data. They understand your company's terminology, processes, and rules. Hallucinations replaced with fact-based reasoning.
Agents know exactly when they need human inputEscalations include full context—what the agent tried, why it needs help. Clear rules prevent over-escalation and under-escalation.
Agents interact with email, Slack, CRM, project tools, accounting software, databases. We handle the API complexity; agents see a simple interface, New tool integrations in days, not weeks.
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.
* 1-100 maturity score across multiple dimensions
* Data readiness, team capability, process clarity, governance
* Honest assessment of what you can and can't do with AI right now
* Written report with detailed findings
* 3-5 recommended AI opportunities, prioritized by impact
* Phased implementation approach
* Build vs. buy recommendations
* Resource requirements and timeline for each phase
* Build working AI solution in weeks 5-8 of your program
* Pick the highest-impact, lowest-risk opportunity
* Real data, real workflows, real results
* Measurable KPIs (hours saved, cycle time, quality)
* How to think about AI opportunities
* How solutions get builtAI governance and safety best practices
* Build internal capability so you're not dependent on consultants
Launch your first orchestrated agent system in 8-12 weeks. See measurable ROI—hours saved, cycle time compressed, fewer dropped tasks—from week one.
Assessment: CSR team spends 30% of time on routine questions. Roadmap: Build chatbot → Add escalation handling → Expand to email support. PoC: Chatbot handles top 10 questions, escalates complex issues. Result: 15 hours/week saved, faster customer response.
Assessment: Finance team spends 20 hours/week entering data manually and checking for errors. Roadmap: Build extraction AI → Implement QA checking → Expand to other data sources. PoC: Extract from invoices, check accuracy. Result: 12 hours/week saved, error rate drops 60%.
Assessment: Sales team manually updates CRM, tracks deals, does forecasting. Roadmap: Build CRM automation → Implement deal intelligence → Add forecasting. PoC: Automatic CRM updates from emails, stalled deal alerts. Result: 8 hours/week saved, deal velocity increases.
Assessment: Legal/HR team spends 25 hours/week reviewing and extracting data from documents. Roadmap: Build document extraction → Implement classification → Add compliance checking. PoC: Extract from contracts/resumes, classify automatically. Result: 18 hours/week saved, faster hiring/approvals.
Most AI consulting starts with a $500k engagement and 18-month timeline. That means only large enterprises can afford to try. We built the AI Strategy & PoC program for the 99% of companies that can't drop half a million dollars. You get the strategy, you get a working proof-of-concept, you get trained internally. All in 90 days. For $25-50k. That's democratizing AI.
The AI divide right now is stark: huge enterprises with resources are pulling ahead. Everyone else is stuck wondering if AI matters. We want to close that gap. Every company should be able to run a low-risk AI exploration program, build confidence with a working PoC, and then scale intelligently. That's how AI gets democratized.
