How to implement AI in your company: the IAby methodology by The BigTech Experience

Many organisations have begun incorporating artificial intelligence tools into their teams. The results are often disappointing: projects that stall at the demo stage, resource consumption with no clear return, and executive teams that do not know how to evaluate or direct AI-generated work. The problem is not the technology. The problem is the absence of methodology. IAby is The BigTech Experience's answer to that need.

Why AI without methodology generates spending with no return

AI adoption in companies follows a recognisable pattern: initial enthusiasm leads to scattered use of tools — ChatGPT, Copilot, image generators, task automators — without a structure that connects that use to the organisation's real business processes. The outcome is predictable:

• AI use without direction or criteria, with inconsistent results that do not sustainably improve any real process.
• Token consumption with no return: poorly constructed prompts, unusable outputs, time invested in work that does not scale.
• The management team does not know how to guide AI: leaders who have not learned to direct, review or validate AI-generated work in the context of their specific business.
• AI disconnected from real processes: projects that remain as pilots because they are not integrated with the organisation's existing tools, standards and workflows.

IAby is built on a clear principle: artificial intelligence only creates value when there is a methodology that structures it, connects it to real processes, and gives the organisation's leaders the judgement to direct it.

What is IAby?

IAby is The BigTech Experience's proprietary methodology for implementing artificial intelligence in companies. It is not a course on AI tools. It is not generic training about ChatGPT or large language models. It is a structured, practical programme designed specifically for executive committees and C-Level teams at mid-sized companies that want AI to work for real within their actual processes.

IAby organises AI work into four major blocks that guide the organisation from first knowledge through to the deployment of real, measurable solutions aligned with its internal standards and processes.

The four dimensions of the IAby methodology

Guide and educate

The first block of IAby equips the executive committee with the knowledge and judgement needed to lead AI projects. This includes understanding how large language models work at a practical level, how to structure effective prompts, how to evaluate the quality of outputs, and how to connect AI use with the planning tools the organisation already uses. The goal is not to turn executives into AI engineers, but into leaders capable of directing and validating AI-generated work in the context of their business.

Planning and task detail

The second block provides the methodology for breaking strategic objectives down into tasks that can be executed by AI. This involves structuring workflows, clearly defining the inputs and expected outputs of each AI task, setting quality criteria, and connecting the solutions to the company's real systems and processes. This block is what makes the difference between anecdotal AI use and systematic integration into operations.

Review and validation

One of the most overlooked elements in enterprise AI adoption is the review protocol. IAby defines a structured process for reviewing AI-generated work: how to detect errors, hallucinations and biases; how to validate outputs against the company's internal standards and norms; and how to ensure results are actionable and reliable before using them in real processes.

Test, deploy and publish

The fourth block accompanies the organisation from the testing phase through to real deployment. This includes testing in a controlled environment, the adjustments needed before launch, and the process of publishing and putting the AI solution into production. IAby ensures that projects reach a tangible, measurable result rather than being left in a drawer.

The IAby process: six phases towards real deployment

IAby follows a progressive six-phase process:

1. Diagnosis: assessment of the organisation's digital and AI maturity level, existing tools, and priority processes to transform.
2. C-Level training: advanced sessions for the executive committee and key managers on how to guide, evaluate and direct AI projects in the real business context.
3. Planning: definition of specific AI projects within real processes, with tasks, inputs, outputs, quality criteria, and connection to existing planning tools.
4. Review: implementation of the protocol for validating and quality-controlling AI-generated outputs against the company's internal standards and norms.
5. Testing: real tests in a controlled environment, adjustments and validation before final deployment.
6. Deploy: real publication and deployment of the solution, with ongoing accompaniment and tracking of measurable results.

Who is IAby designed for?

IAby is designed for organisations that already recognise the strategic importance of AI but are not obtaining the results they expected from their current investment. In particular, it delivers the greatest value to:

• CEOs and C-Level executives who want to lead their company's AI transformation with their own clear direction and criteria.
• Executive committees of mid-sized companies that need a structured methodology specific to their context, not generic tool training.
• Organisations already using AI without a methodology that feel they are investing but not achieving tangible results or real integration into their processes.
• Innovation and digital transformation teams that want to connect AI with the organisation's real tools, standards and workflows.
• Results-oriented leaders who need to move from concept to real deployment with measurable ROI.

What you can achieve with IAby

The expected results of a well-executed IAby programme include: learning to lead AI projects with your own criteria, eliminating unstructured AI use without methodology, reducing token consumption with no return, taking AI projects from concept to real deployment with tangible results, adapting AI to the organisation's internal standards and processes (and not the other way around), and gaining independence from external AI providers.

Programme duration and format

IAby programmes run for 4 to 12 weeks depending on the organisation's maturity and the objectives set. We combine in-person sessions with follow-up and review sessions in remote format, adapting to the availability of the executive committee and the participating managers.

Frequently asked questions about IAby

Is IAby compatible with any AI tool?

Yes. IAby is a tool-agnostic methodology. It works with any AI platform the organisation already uses or wants to adopt, and provides the framework to work with them in a structured and efficient way.

Does the management team need prior technical knowledge?

No. IAby is designed specifically for executive and business profiles, not technical ones. The programme starts from the team's current level of knowledge and develops it in a practical, business-results-oriented way.

How many people from the management team should participate?

The programme is most effective when the full executive committee participates, or at least the key managers of the areas to be transformed with AI. The initial exploratory session allows us to define the optimal scope for each organisation.