AI, data and governance consulting
Services
Three lines of work 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.
AI readiness and strategy
The problem
Scattered initiatives, expectations that differ between departments, and difficulty deciding where to start without committing resources to pilots that never scale.
How we intervene
We survey the real use of AI in the organisation, identify use cases with verifiable value, and build a prioritisation that leadership can defend before its own committee.
Client participation
The client provides access to the areas involved and decides the priorities. AGORA facilitates, documents and holds the line on method.
Deliverables
- An inventory of AI initiatives and uses under way, including undeclared ones.
- Prioritisation criteria agreed with leadership and applied to the surveyed cases.
- A phased roadmap, with the capabilities and decisions required at each stage.
- Defined owners and a decision model to sustain the path.
Next step
A free exploratory assessment locates the starting point before defining a scope.
Data and operations
The problem
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.
How we intervene
We work on data availability and reliability, the design of the processes that consume it, and the operating model that sustains both after the project ends.
Client participation
Internal teams and vendors execute; AGORA directs the work, resolves dependencies and verifies results against what was agreed.
Deliverables
- A map of data sources, owners and observed quality gaps.
- Target process design, with control points and assigned owners.
- Defined follow-up indicators and their source.
- An accompanied implementation plan, with roles for internal teams and vendors.
Next step
Let's discuss scope based on your organisation's context.
Governance and risk
The problem
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.
How we intervene
We build the governance model the organisation can actually sustain: policy, inventory, risk classification, roles and evidence, selecting controls proportional to its context.
Client participation
The organisation approves the policy and takes on the defined roles. AGORA accompanies implementation and preparation for external reviews.
Deliverables
- An AI usage policy and data handling rules, drafted for approval.
- Inventory and risk classification of the systems in use.
- A responsibility matrix and review cadence.
- Defined evidence per control and the observed maturity state.
Next step
The exploratory assessment shows which controls are relevant before committing to a scope.
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.