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While many AI initiatives stall due to lack of skills and governance, Dyntyx builds AI‑enabled teams that ship real improvements in 6-8 weeks through targeted bootcamps and hands‑on practice.
Less time on manual,repeatable tasks
Faster delivery of core workflows after training
Fewer mistakes in AI‑assisted processes
To visible results from your first training cohort
Every industry is being reshaped by AI. Customers expect faster responses, personalized experiences, and always‑on service that manual workflows can no longer deliver.
Most organizations have experimented with AI tools, but only a small fraction have trained their teams to safely, consistently, and effectively use AI in real workflows. The result: shadow AI, compliance risk, and missed ROI. Dyntyx closes this gap with structured, workflow‑driven training that turns AI from experiments into everyday practice.
"Corporate learning is a $400B market now being transformed by AI skills and digital capabilities."
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Most employees report using AI informally, but lack clear guidelines, patterns, and quality checks—slowing adoption and creating risk.
A large majority of enterprises are actively investing in AI‑powered tools and platforms, yet struggle to upskill non‑technical staff to take advantage of them.
Organizations lose time and margin to manual work, inconsistent AI usage, and stalled automation projects that never leave the pilot phase.
Deliver a 2-4 week foundations program that introduces core AI concepts, risks, and real‑worlduse cases tailored to your business, while setting clear governance and usage guidelines.
Participants learn how to evaluate where AI can help, how to craft effective prompts, what data should never be shared, and when human review is required—turning ad‑hoc experimentation into intentional practice.
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Run a 4-6 week applied lab where teams select specific workflows (e.g., intake, customer support, reporting, onboarding), map the current state, and redesign them with AI in the loop.
Over a series of guided sessions, participants define success metrics, test AI‑assisted steps, validate outputs, and document the new process with clear ownership and controls. The outcome: not slides, but working patterns your team can run tomorrow.
Design tailored learning paths for roles such as operations, customer support, sales, finance, HR, and legal—each focused on the tasks that matter most to them.
Participants learn curated prompt patterns, review real examples from their function, and build a personal AI toolkit (saved prompts, checklists, and mini‑workflows) they can use immediately.
Pair practical training with governance education: how AI decisions are made, how to log and review AI‑assisted work, and how to design escalation and override paths.
Teams learn what “explainable enough” means in a business context, how to document AI‑assisted steps, and how to raise issues when outputs look wrong—creating a culture where speed does not come at the expense of control.
Deliver focused sessions for executives and managers on where AI creates leverage, how to prioritize use cases, and how to measure value from AI‑assisted work.
Leaders walk away with a simple portfolio view of AI initiatives, clarity on investment levels, and a practical framework for linking AI skills to business outcomes and headcount planning.
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Training starts from your real processes and constraints, not abstract “use AI more” advice.
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Every program includes guidance on when humans must stay in the loop and how to log AI-assisted decisions.
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Programs are scoped for visible improvements within 48 weeks, not year‑long transformations.
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Built to align with your existing policies, risk controls, and compliance needs—not work around them.
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Cohorts can run virtually or in-person, with templates and assets you can reuse across teams.
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Optional follow-on sessions and office hours help teams refine and expand their AI usage over time.
Flexible program structures designed for organizations of all sizes. Choose between per-cohort training, per-seat licensing, or integrated training + implementation packages.
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PROGRAM | Pricing Model | TYPICAL INVESTMENT RANGE |
|---|---|---|
 AI Foundations & Safe Adoption Bootcamp | Per‑cohort (up to X participants) | $10K–$20K/cohort |
.svg){kind=small} Workflow Redesign & Applied AI Lab | Per‑team / per‑cohort | $20K–$40K/cohort |
.svg){kind=small} Role‑Specific AI Skill Tracks | Per‑seat or per‑cohort | $1K–$2K/participant or $15K–$30K/cohort |
 AI Governance & Responsible Use Training | Per‑session or integrated series | $10K–$25K/program |
 Leadership & Strategy Enablement | Executive workshop series | $15K–$30K/series |
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Customers, partners, and employees now expect AI‑level speed and personalization.
Many organizations invest in AI tools but never train teams to use them effectively.
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Teams are being asked to do more with less—AI skills are becoming a core part of every role.
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