Find the path
AI strategy and opportunities
AI consulting for businesses in Ecuador and Latin America: process assessment, prioritized opportunities, and an artificial intelligence implementation roadmap.
What is an AI strategy for a business?
An AI strategy is a plan that identifies where artificial intelligence can create the most value in your company, what it costs to try, and which risks it carries. We deliver it as a prioritized map of opportunities, a business case for the initiative with the most potential, and a roadmap your team can execute.
A good decision before a big investment.
We start with the business. We get to know your processes, decisions, and available data, and the experience of the people who do the work.
You come away with a prioritized opportunity map, a business case for the initiative with the most potential, and a clear roadmap.
If an idea is not worth automating, we tell you. Strategy also helps you avoid investments that would not create value.
Deliverables
- Opportunity map
- Business case
- Roadmap
A clear scope from day one
What we need. What we build. How we prove it.
- 01 · Starting point
- A process you want to improve, the person who knows it, and examples of how it works today.
- 02 · Deliverable to agree on
- A prioritized opportunity, a process map and a validation plan before building.
- 03 · How to validate
- Compare expected value, data quality, risks, and effort. Also identify when AI is not the right answer.
- 04 · Scope limits
- The assessment does not include building a platform and does not guarantee savings before they are measured.
This is a guide to define your project. Scope, acceptance criteria, investment, third-party costs, and ongoing support are agreed on in a specific proposal.
Use cases
Examples of what we solve with this service. Each case is adapted to your process, your tools, and your data.
AI readiness assessment
We review processes, data, tools, and team skills to understand where you are starting from and what to do first.
Opportunity map by area
Sales, customer service, finance, operations, and marketing: we find where time is lost and which tasks AI can take on with human control.
Business case and savings estimate
We calculate hours, costs, and risks with data from your operation. Figures are presented as estimates until they are measured in production.
AI workshop for leaders and teams
A hands-on session so your team understands what AI can do today, how to use it safely, and how to evaluate vendor proposals.
AI usage policies and governance
Clear rules on which data can be used, which tools are allowed, and which decisions need a person's approval.
AI search visibility assessment
We review how your company shows up in Google, Bing, ChatGPT, Gemini, and Perplexity, and what your site needs so they find and cite you.
Before you hire us
What to expect from this service.
Who it is for
Executives, operations or innovation managers and department leads who want to adopt AI and do not yet know where to start.
What problem it solves
There is pressure to use AI, scattered ideas and vendors offering tools, but no clear way to decide what to do first and what to set aside.
How we work
01
Understand
We talk with the people who do the work and review processes, decisions and systems.
02
Assess
We compare the expected value, data quality, risk and effort of each opportunity.
03
Prioritize
We choose an entry point and make clear what is not worth doing.
04
Deliver
We present the roadmap and review it with your team.
What we need from your team
- One accountable person who can make decisions
- Access to the people who know each process
- Real examples of today's work, with no sensitive data at first
- A list of the systems the company uses
What it usually includes
- Review of processes, data and tools
- Prioritized opportunities with their risks
- A business case for the initiative with the most potential
- A roadmap your team can review
What it does not include
- Building a platform or agents
- Guaranteed savings before they are measured
- Third-party licenses or tools
- Legal advice
How the work is accepted
- Your team recognizes its operation in the process map
- Each opportunity states its value, risk and dependencies
- Estimates are labeled as estimates
- The success criterion for the first step is defined
What stays in human hands
- Deciding what gets done and in what order
- Authorizing which data can be reviewed
- Validating the assumptions in the business case
How it is contracted
It is contracted per solution, with an agreed objective, deliverables, milestones and acceptance criteria. Each stage can be contracted on its own if it meets the objective.
Implementation, continuity and external costs
Implementation is agreed once. Continuity is a separate, optional monthly agreement. Vendor costs, such as AI models, hosting or licenses, are identified separately and we agree who contracts and controls them.
This is a general guide. The scope, exclusions, investment and schedule of your project are agreed in writing in each proposal.
Other services
Frequently asked questions
How long does an AI strategy take?
It depends on the number of processes, areas, and people involved. The timeline is agreed on in the proposal and split into stages with deliverables your team can review.
Do I need organized data to get started?
No. Part of the assessment is reviewing which data exists, where it lives, and how good it is. If it needs cleanup, that work is prioritized in the roadmap.
What if AI is not the right fit for my process?
We tell you. Sometimes a simple automation, a process change, or a tool you already have solves the problem better, with less cost and less risk.
Does the strategy commit me to building with Daleki Lab?
No. The roadmap is yours and you can execute it with your team, with us, or with another provider.
Does it include training for my team?
It can. If your team needs hands-on practice before or after the strategy, we pair it with the corporate workshop or the adoption program on our training page.
Your idea deserves a first version
Tell us what you imagine. We start by understanding your challenge and exploring how to make it possible.