AI, data and governance consulting · Latin America
Solutions
Four solutions with distinct problems, interventions and deliverables. In all of them AGORA leads and accompanies; technical execution is carried out by the client's teams and their vendors.
The solutions within the journey
What covers each of the six stages. A stage can have more than one solution, and a solution can come back at another stage; no organisation needs to go through all of them.
| Journey stage | What covers it |
|---|---|
| 01 Understand Recognise the starting point. |
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| 02 Assess Know where you stand. |
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| 03 Prioritise Turn the assessment into decisions and a roadmap. | |
| 04 Govern Build policies, accountability and controls. | |
| 05 Operationalise Turn governance into organisational execution. | |
| 06 Monitor and scale Maintain control as AI adoption evolves. |
Four solutions
They can be engaged separately or combined. Each has its own page with the problem it addresses, how the work runs and what it delivers.
Where the work usually starts
4-week assessment
The 4-week assessment establishes the starting point for any of the four solutions, with its scope and price fixed before work starts.
AI readiness and strategy
Bring order to the AI initiatives that already exist and turn them into a prioritisation leadership can defend, before committing resources to pilots that never scale.
- The business challenge
- Scattered initiatives, expectations that differ between departments, and difficulty deciding where to start without committing resources to pilots that never scale.
- Result
- Priorities agreed by leadership, with the criteria written down.
- Stages
- 03 Prioritise
Data and operations
Make sure the data AI needs is available, owned and reliable, and that the processes using it are defined end to end.
- The business challenge
- The necessary data exists but is scattered, without clear owners or quality controls, and the processes that should use it are not defined end to end.
- Result
- Data sources with owners and quality gaps identified.
View the solution: Data and operationsBook a conversation (opens in a new tab)
Governance and risk
Build the AI governance model the organisation can sustain and demonstrate: policy, inventory, risk classification, roles and evidence proportional to its context.
- The business challenge
- AI systems already in use with no approved policy, no inventory, no risk classification and no evidence to answer an audit, a funder or an oversight body.
- Result
- Owners, review cadence and evidence defined for each control.
AI operating model
Turn governance into execution: approved rules applied to how each AI use is bought, built and approved, with every step leaving evidence.
- The business challenge
- The policy exists in a document but has not changed how things are bought, built or approved. Roles are defined on paper and each area handles it its own way.
- Result
- Controls embedded in the procurement and development cycle, each with an owner.
View the solution: AI operating modelBook a conversation (opens in a new tab)
What AGORA does and what the client does
AGORA leads the strategy and directs implementation. Technical development is carried out by the client's teams and their vendors, under AGORA's direction and verification. We do not offer full in-house technical development, nor do we guarantee business outcomes that depend on decisions outside our scope.
Sector references correspond to the professional trajectory of the firm's members, not to AGORA Advisory contracts.