AI portfolio and priorities
Connect initiatives to real business problems, compare their value, feasibility and dependencies, then agree priorities with leadership.
AI leadership and delivery
AI projects are multiplying. Who sets the priorities, owns the budget decisions and makes sure work actually progresses?
One department is testing an assistant, a vendor is proposing an agent, licences have been purchased — but no one owns the full picture or connects the initiatives to business priorities.
Mahthildis can lead and steer AI initiatives without requiring a full-time AI executive. Paulo Castro works with your teams, coordinates contributors and remains your principal counterpart.
Real-world problems
Several teams launch AI projects without shared priorities or a single portfolio owner.
Prototypes look convincing in a demo but no one steers their move into daily operations.
Licences, vendors and operating costs add up without shared success criteria.
Vendors recommend different approaches and leadership lacks someone to arbitrate.
Technical teams are expected to manage AI on top of existing workloads, without sufficient steering capacity.
Meetings continue, but ownership, milestones and decisions remain unclear.
Call Paulo directly: +33 6 52 62 40 45
Illustrative scenario
An SME is testing document assistance, a support agent and automated reporting. Each initiative has its own tool and contact; spending continues, but results are not compared.
Desired outcome: a prioritised AI portfolio, explicit decisions and projects that are actually steered. This is an illustrative scenario, not a completed client reference.
Responsibilities
This is not just an AI policy or an outside opinion. Responsibilities are agreed around the projects to deliver and the mandate the company wants to delegate.
Connect initiatives to real business problems, compare their value, feasibility and dependencies, then agree priorities with leadership.
Build a workable roadmap, clarify commitments and recurring costs, record decisions and revise the plan as facts change.
Clarify ownership, milestones, acceptance criteria and coordination between business teams, technical contributors, software vendors and integrators.
Challenge technical choices, access, dependencies and operating assumptions; lead design or delivery work included in the engagement.
Coordinate testing, business sign-off, integration, monitoring and handover so promising demonstrations become workable services.
Set relevant business measures, review adoption and actual costs, and agree adjustments with accountable managers.
Ongoing steering
An AI lead should be able to say what is moving, what is blocked, what it costs and which decision is needed next. Paulo can establish and maintain that steering with your teams.
A visible portfolio: initiatives, objectives, accountable people, budgets and status.
Recorded decisions: proceed, pivot, pause or stop.
Working discussions with business, technical and vendor teams when needed to unblock delivery.
Follow-up on shipped work and actual use, with no automatic ROI promise.
Call Paulo directly: +33 6 52 62 40 45
Engagement
1
Review current initiatives, stakeholders, commitments, blockers and the most urgent decisions. No mandatory paid audit is required.
2
Clarify Mahthildis's responsibilities, client stakeholders, milestones, reserved decisions and expected results.
3
Steer delivery, arbitrate with leadership, coordinate contributors and carry out technical work when within the agreed scope.
4
Review delivery, costs and usage, adjust priorities and transfer practices or ownership when relevant.
Management outputs
Depending on the agreed scope, these are practical steering tools, not documents automatically delivered in every mission.
A portfolio of AI initiatives with owners and open decisions.
A prioritised roadmap with milestones and dependencies.
Tracking of commitments, budgets and usage costs.
Business success, acceptance and adoption criteria.
A record of decisions and next actions.
Production transition or project recovery plan when needed.
Choose the appropriate engagement
Put policies, responsibilities, human review and controls into daily use.
Explore AI governanceDesign, integrate or build a specific AI application or use case.
Explore AI projectsAssess current initiatives and recommend priorities. An audit is not a mandatory first step for AI leadership.
Explore AI auditsAccountability
Paulo Castro leads the engagement and keeps its delivery coherent. His background spans software engineering, systems architecture, data and technical leadership responsibilities, linking business decisions to practical implementation.
He works with existing business and technical teams and may directly take on an agreed workstream. Decisions and commitments reserved to company leadership remain defined in the mandate.
Cybersecurity, data engineering, AI, cloud or complex integrations may require additional specialists. Their availability, scope and commercial terms are agreed for the engagement, while Paulo retains overall leadership.
Engagement terms
Quoted after scoping. A focused leadership assignment or ongoing fractional support may be appropriate; duration and cadence depend on the portfolio and responsibilities.
The first 20-minute call is free and aims to understand your situation. No paid audit or diagnostic is required before an engagement.
Mahthildis is not a staffing firm. Responsibilities, scope, outputs and specialist contributions are agreed as part of a managed assignment.
FAQ
AI governance puts usage rules, review processes and responsibilities in place. A fractional Chief AI Officer leads the broader AI portfolio: priorities, budgets, projects, contributors and intended outcomes. Governance may be one part of the mandate.
No. A single cross-functional project can need ongoing decisions and vendor coordination. The mandate reflects the actual situation.
Yes, within the agreed mandate: objectives, ownership, milestones, testing, dependencies and acceptance. The intention is to work with existing contributors.
Yes, when included in scope. Paulo can design, steer and deliver defined technical work, involving additional expertise if required.
A fractional CTO or CIO covers wider technology or information-system responsibilities. The Chief AI Officer focuses on the AI initiative portfolio, business value, delivery and adoption.
No. Mahthildis takes responsibility for an agreed assignment with an identified senior lead. It does not supply contractors for the client to manage.
That depends on the number of initiatives, stakeholders and responsibilities. A first conversation is used to frame the request before a tailored quote.
No. Mahthildis identifies risks and helps measure real outcomes, involving qualified legal, privacy or security advisers where the scope requires them. Absolute compliance or returns are not promised.
Explain what has already started, what is blocked and the decisions ahead. Speak directly with Paulo Castro to see how Mahthildis could lead or take on the right scope.
Call Paulo directly: +33 6 52 62 40 45