AI PMO
An AI project office that takes your initiatives from idea to adoption.
Outsourced management of the full lifecycle of AI initiatives: intake, requirements, assessment, prioritization, management and adoption.
- Building and running technology since 2008
- Microsoft Partner since 2010
- 200+ large organizations as clients
- ISO 27001 certified
- 60+ in-house professionals in Barcelona and Madrid
- Our own SaaS services and solutions
The starting point
AI initiatives don't fail because of the technology
They fail because of how they are chosen, defined and managed. The challenge is one of management, not of tools.
Without an AI project office
Lots of ideas, few results
- Ideas scattered across departments, with no single entry channel
- Informal requirements: something different from what was needed gets built
- Decisions made without estimating timeline, cost or technology fit
- Whoever insists the most gets priority, not what adds the most value
- Nobody supports adoption: what is built goes unused
Result: pilots that don't scale and scattered budget
With Itequia's AI PMO
A portfolio managed from start to finish
- A single entry channel and a living portfolio of initiatives
- Requirements gathered with users and validated with a prototype
- Every initiative with a plan, estimate and technical fit
- Prioritization with key users and explicit criteria
- Tracking, reporting and adoption measured after roll-out
Result: projects that reach production and get used
The entire lifecycle, in six stages
From idea to adoption. We cover all of them or only the ones you need.
01
Intake
We gather the AI and automation initiatives from across the organization into a single portfolio.
Deliverable: single portfolio of initiatives, with their status.
02
Requirements
We analyze each initiative with the person requesting it: current process, need and expected outcome.
Deliverable: requirements validated by the requesting department.
03
Assessment and plan
Project plan with duration, coverage, technology fit and cost, with the support of architects.
Deliverable: assessable project plan, ready to prioritize.
01
Prioritization
We decide with key users what gets done, in what order and what gets discarded.
Deliverable: prioritized and approved roadmap.
02
Management and reporting
We manage the approved projects: timeline, cost, risks and steering committee.
Deliverable: periodic reporting to the committee and to management.
03
Roll-out and adoption
We support the deployment and measure that what has been built is used and generates value.
Deliverable: adoption report and improvements for the next iteration.
Your management or ticketing tool, or ours · Full-time or part-time profiles · Itequia architects when the assessment requires it
Each initiative, assessed across four dimensions
With part-time Itequia architects: estimates from people who build with AI every day.
Duration
How long will it take?
Phases, milestones and a realistic go-live date.
Coverage
Does it solve what is requested?
How much of the need it covers and what falls outside the scope.
Technology fit
How does it fit with what already exists?
Architecture, integrations, data and security.
Cost
How much does it cost?
Build, licenses, infrastructure and token consumption.
We estimate at the real speed of AI
A PMO that estimates using pre-AI criteria rules out projects that are viable today.
Functional prototype, when needed
If there are doubts about scope, the Product Owner creates a clickable prototype with test data that users validate before the project is approved.
Prioritization: value × effort
The committee decides with key users and explicit criteria: value, effort, risk and urgency. Quick wins and long-term projects, in a single roadmap.
Management and reporting: the committee decides with data
Governance cadence
- Weekly follow-up: status of each project with those responsible.
- Monthly portfolio committee: with key users; initiatives are admitted, prioritized and closed.
- Quarterly review with management: roadmap progress and benefits achieved.
- Your tool or ours: Jira, Azure DevOps or another management or ticketing system.
What we measure
- Initiative funnel: captured, under analysis, approved, in progress and in production.
- Timeline and cost: actual versus estimated, per project.
- Risks and decisions: what is blocking and who needs to decide.
- Adoption and value: actual usage and benefits after roll-out.
The difference from a traditional PMO
Behind it is a team that builds with AI every day.
01
We know how to build with AI
We apply our AI-Driven method daily. We know what can be automated, what it really costs and where the risks are.
02
Architects on demand
We bring in part-time architects to assess technical fit and estimate each initiative, without sizing a fixed team.
03
And, if you want, we execute it
Approved initiatives can move to our AI-Driven team without losing context. Or to whoever you choose: the AI PMO doesn't lock you in.
Independence in our recommendations: if an initiative isn't worth it, or a standard tool already solves it, we will tell you.
What we estimate is what we know how to build: three projects delivered with our method.
< 1 month
New application in production, that had been ruled out on cost in 2025.
2 months
14-year-old legacy system rewritten, with over 93% test coverage.
3 weeks
Power BI replaced: 40 custom reports and 20 fewer licenses.
What you get
Single portfolio of initiatives
All AI and automation ideas, in one place and with their status.
Clear requirements
Each initiative documented with the users who request it.
Assessable project plans
Duration, coverage, technology fit and cost, before deciding.
Prioritized, consensus-based roadmap
With key users and explicit criteria of value and effort.
Projects under control
Periodic reporting on timeline, cost and risks.
Measured adoption
Supported roll-out and actual usage after go-live.
Where the AI PMO fits
Turns AI demand into projects. Works on its own or connected to the rest of the services.
Decide and manage
AI PMO
Which initiatives are carried out, in what order and how they are managed.
Build
AI-Driven Development · AI-Factory
Applications, MCP and automations in production.
Operate
Cloud Operations
Secure hosting and operation on Azure, under ISO 27001.
Each service is contracted separately. The AI PMO can work with your development team or with other providers; and the adoption of what is in production feeds new initiatives.
A flexible model
We size the team according to the volume of initiatives and the stages you want to cover.
Outsourced Product Owner
A single profile, full-time or part-time, who leads the AI PMO within your organization.
- Intake, requirements and prioritization
- Project management and reporting
- Itequia architects on demand
AI PMO Team
Product Owner, architects and the profiles you need, with dedication adjusted to each phase.
- For portfolios with many initiatives
- Technical assessment and estimates in parallel
- Functional prototypes for validation
AI PMO + delivery
The AI PMO team plus an AI-Driven team that takes what has been approved into production.
- A single point of contact, from idea to production
- No handovers or loss of context
- Scalable towards an AI-Factory
Full-time or part-time · Only the stages you need · Your tool or ours
Why Itequia?
AI at the core of how we work. Our own AI-Driven method, applied across the entire lifecycle, to take solutions to production in weeks, not months.
We build it, we run it. Consulting, development, Microsoft and cybersecurity with a single partner, from assessment to operations, with the same point of contact throughout.
Security we practice. ISO 27001 certified, with automated code security analysis in every delivery and experience in regulated environments: banking, pharma, manufacturing and the public sector.
Your feedback, with its own channel. A Customer Experience team, independent from the people delivering your project, tracks your satisfaction so we can correct course in time.
Organizations that trust us
Frequently asked questions
Behind it is a team that builds with AI every day. We estimate with the real speed of AI and with Itequia architects: we know what can be automated, what it really costs and where the risks are.
No. Approved initiatives can move to our AI-Driven team without losing context, or to whoever you choose: your development team or other providers. The AI PMO doesn't lock you in.
Yes: Jira, Azure DevOps or any other management or ticketing system. If you don't have one, we work with ours.
Yes. An outsourced Product Owner, full-time or part-time, with Itequia architects on demand. The team grows if the volume of initiatives grows.
If you have done the diagnosis of AI Governance, its backlog of initiatives goes directly into the AI PMO portfolio. Each service is contracted separately.
On a Time & Materials basis or as an Extended Team, with a pre-contracted bank of hours. Full-time or part-time, and only with the stages you need.
Do you want to take your AI initiatives from idea to adoption?
Tell us which AI initiatives you have on the table and how they are managed today. We will propose a first assessed and prioritized portfolio, no commitment.