In-Company Workshops
Your team leaves with a prioritized AI roadmap and the skills to execute it — built around your strategy, your industry, and the real pain points your team surfaces. Not generic examples. Not abstract tools. Real change, measured at 30 days.
The workshop at a glance
"AI amplifies the judgment of your team."
Custom proposal within 3 business days.
Why in-company
Off-the-shelf AI training teaches tools. An in-company workshop from CQDX teaches your team to apply AI where it actually moves your business — using your processes, your data, and your real strategic priorities as the curriculum.
We analyze your priorities and AI's role in your industry to focus the workshop where it moves the business.
We start from the processes and frictions your own team surfaces — not generic examples.
Designed for full areas and teams, with shared language and shared cases.
You finish with a prioritized AI initiatives plan mapped by impact and complexity.
Point of view
Before every proposal we study the client's industry and competitive context. The patterns below represent what we consistently encounter across each sector — we validate and sharpen them with you in the first conversation.
The pressure we most often find is on winning more business at greater speed without sacrificing technical quality: quotes that take too long, critical knowledge concentrated in a few people, and scattered documentation generating rework.
Win more business by shortening the commercial cycle with faster technical proposals; reduce key-person dependency by turning their knowledge into queryable assets; eliminate rework from scattered documentation.
The core tension we consistently see is between growing business volume and maintaining analysis quality: slow document review, dependence on key analysts, and rework from information scattered across teams.
Shorten the cycle from request to decision to originate more business; maintain risk analysis quality without depending on a single analyst; reduce rework by consolidating information across areas.
The challenge we most often encounter is producing more relevant sector intelligence with small teams: queries going unanswered, valuable knowledge not being systematized, and communication that can't scale at the pace members need.
Produce more sector intelligence and answer queries more promptly without growing the team; systematize expert knowledge so it doesn't depend on individuals; scale member communications without losing consistency.
The pattern we consistently see is pressure to grow sales without scaling the team proportionally: proposals that take too long, inconsistent follow-up, and little time to analyze which opportunities to prioritize.
Increase conversion by freeing the sales team from preparation tasks so they spend more time with clients; standardize follow-up so it doesn't depend on individual initiative; make better prioritization decisions with faster data analysis.
The tension we most often find is between differentiating and retaining students while administrative and content production workload consumes time that should go to teaching and institutional decision-making.
Differentiate with more relevant and frequently updated programs without increasing faculty workload; retain students by improving the learning experience; free leadership time from administrative tasks to decide with more strategic focus.
The pressure we most often find is on producing higher-quality deliverables in less time: slow document review, expert knowledge that isn't captured, and capacity that can't scale without adding headcount.
Deliver more value per billable hour by reducing document review and analysis time; scale team capacity without growing headcount; capture expert judgment as team assets before it walks out the door.
Your industry not on the list? We prepare a specific sector analysis for your context as part of the first conversation.
How we work
Every engagement follows a proven sequence — from understanding your strategy to measuring impact 30 days after the workshop closes.
We talk about your objectives, the audience, and the best dates. We build a proposal on your strategy and AI's role in your industry.
Your team identifies from their role which tasks and pain points they can improve with generative AI — the task takes 15 to 20 minutes per participant. With that input we build the case study and adapt slides, exercises, and practice data to your industry.Your team participates first
Two sessions of 3–4 hours with 5–7 days between them. Your team works on real cases; we adjust content based on questions and needs from the first session.Applied practice
We close with an AI initiatives plan built on your objectives and pain points, ordered by impact and complexity, with indicators for tracking.Deliverable
At 30 days we measure whether AI kept being used, how much time it saved, and which business objectives it helped advance. CQDX delivers a report with the results to define the next step.Impact report
What's included
Built on your objectives and your team's real pain points.
Slides, exercises, and practice data adapted to your industry.
With practice days in between to apply and resolve questions.
Reusable prompts by role and process, ready for daily use.
Initiatives mapped by impact and complexity, with indicators for tracking.
For each team member who completes the workshop.
The closing deliverable
We don't leave you with a list of loose ideas. We organize your team's AI opportunities so you know exactly where to start.
Measurable results
Most AI training firms measure satisfaction. We measure whether AI kept being used, how much time it saved, and which business objectives it helped advance — at 30 days, with a concrete report. It's the difference between a training event and a capability investment.
Before the workshop
Where do your objectives, key results, and tasks stand today?
We set the baseline for what matters: the main indicators behind the area's objectives, its key results, and the tasks that support them — where they stand today, how much time they consume, and how often they run. Built into the pre-workshop task the team already completes.
During preparationAt the close of session 2
What will each participant apply?
What each participant plans to apply, how confident they feel, and what barriers they anticipate. A short live survey with the whole group present.
Final sessionAt 30 days
How many people are still using AI and what changed?
How many people use AI weekly, how much time they gained, and which business objectives they attribute to AI. CQDX summarizes and delivers a report.
CQDX reportTime saved is reported as a concrete number. Business improvement is reported as what the team itself attributes to AI — we don't take credit that isn't ours. That way the report is honest and useful for deciding the next step.
Who facilitates
Andrés Vinueza
Strategy Manager · Grupo Industrial
25+ years leading business and technology transformation across Latin America. Advises on AI adoption from inside a real organization: he knows which decisions matter and where AI moves the business.
linkedin.com/in/avinueza ↗Gustavo Vinueza
Senior Consultant · University Professor
20+ years in data, analytics, and applied AI across three continents. Co-author of The Project Management AI Handbook and designer of CQDX's executive training programs.
linkedin.com/in/gustavovinueza ↗