AI Will Not Fix a Workflow Nobody Has Redesigned
Most companies are adding AI to the work they already do. The greater opportunity is to question whether that work should still be organized in the same way.
Read the articleI help leadership teams decide which workflows AI should automate, where it should augment people, and where human judgment must remain — then turn those decisions into a 90-day execution plan.
Founder & CEO, Coally · Former professor, Universidad de los Andes · MSc Entrepreneurship, Babson College · Building across Latin America and the United States
Identify repetitive processing, documentation and coordination that AI can perform reliably.
Use AI to improve analysis and decision-making while keeping people accountable where trust, risk and context matter.
Remove the approvals, reports, meetings and handoffs that no longer need to exist.
The objective is not to use more AI. It is to redesign how work gets done.
A focused 90-minute working session for leadership teams that need to identify where AI can create meaningful operational value.
In ten business days, we identify the three workflows with the strongest combination of business value, feasibility and organizational readiness — and turn them into an executable roadmap.
Candidate sourcing, screening, matching, service delivery, quality assurance and knowledge management.
Research, proposals, client delivery, reporting and institutional knowledge.
Student support, career decisions, employability services and outcome measurement.
Organizations running multiple AI experiments without a shared operating model or measurable roadmap.
The best fit is an organization already experimenting with AI and facing a workflow or investment decision within the next 90 days.
Identify a frequent, costly and strategically important workflow.
Document its decisions, handoffs, delays, repeated work and failure points.
Decide what AI should automate, augment or leave human-led.
Evaluate opportunities by value, feasibility, data readiness and risk.
Assign an owner, define the metric and launch a 90-day experiment.
Every engagement must lead to an operating decision — not another presentation about AI.
Andres Joya is the Founder and CEO of Coally, where he leads the strategy behind AI-powered career intelligence and institutional technology across Latin America and the United States.
His perspective combines enterprise technology sales, institutional implementation, entrepreneurship, higher education and the practical decisions required to build an AI company from zero to one.
AI-powered career intelligence and institutional infrastructure. Currently raising a Seed round.
Learn about CoallyMost companies are adding AI to the work they already do. The greater opportunity is to question whether that work should still be organized in the same way.
Read the articleWhy AI transformation begins with redesigning work — not purchasing another tool.
How leadership teams can prioritize use cases, assign accountability and translate experimentation into measurable value.
What universities, employers and workforce organizations must rethink as AI changes skills, careers and human development.
Lessons from building, selling and expanding an institutional technology company across markets.
Andres Joya is the Founder and CEO of Coally, an AI company building career intelligence and institutional infrastructure from Latin America.
He previously taught applied artificial intelligence and entrepreneurship at Universidad de los Andes and holds an MSc in Entrepreneurship from Babson College.
His work sits at the intersection of AI, organizational decision-making, workforce transformation and zero-to-one company building.
He writes and speaks from direct experience implementing technology, selling to complex institutions and operating between Latin America and the United States.
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If your organization has multiple AI experiments but no clear operating plan, let's identify the best place to begin.