QUESTION
Small expert engagement
Concrete valueAI product services
Move from AI pilots to working product systems.
I work with government and enterprise teams that need more than generic AI advice: portfolio choices, architecture decisions, operating models and direct challenge from someone who has built these systems in enterprise and government settings.
The work connects executive judgment with hands-on architecture across AI agents, MCP, APIs, knowledge graphs and data products.
AI product engagement steps
DIAGNOSE
Focused assessment
Concrete valueDESIGN
Defined solution
Concrete valueDELIVER
Working implementation
Concrete valueDRIVE
Ongoing leadership
Continuous valueEach step is a standalone value package.
Continue only when the next step is worth taking.
AI engagement paths
Portfolio choices, architecture, operating model, leadership.
Each path is scoped around a concrete decision or operating outcome, with the option to continue only when the next step has real value.
Lead
Executive decision support, AI strategy, AI Center of Excellence setup, product portfolio management, investment prioritisation, and operating models.
Build
Agent architecture, agent harnesses, MCP, APIs and SDKs, knowledge graphs, governed data product context, and hands-on prototyping.
01
2-week reviewAI Portfolio Review
Too many AI ideas, pilots and competing priorities?
I help executives decide which AI initiatives deserve investment, which need stronger ownership, and which should stop before they absorb more attention.
You leave with
- A prioritised portfolio
- Scale, stop, merge and fix recommendations
- Ownership and KPI gaps
- Executive decision brief
- 90-day action plan
Best for
Organisations that need to decide where to invest next.
Typical investment$10K–$15K
Typical scope assumes one organisation or major business unit, up to around 15 initiatives and a defined group of stakeholders.
02
3 to 4-week sprintAgentic AI Architecture Sprint
You know where AI agents might help, but the architecture and implementation path remain unclear.
I work with business and technical teams to decide how agents should use models, tools, MCP, APIs, enterprise data and knowledge graphs without creating another fragile pilot.
You leave with
- Target architecture
- Agent and tool boundaries
- Data and knowledge design
- Governance approach
- Implementation backlog
- Prototype direction
Best for
Teams moving beyond chatbot experiments into operational AI agents.
Typical investment$18K–$25K
Typical scope covers a defined business domain and two to three target workflows. Production implementation is scoped separately.
03
4 to 6-week engagementAI Product Operating Model
AI initiatives are growing, but ownership, prioritisation, governance and delivery do not scale.
I design or strengthen your AI Center of Excellence and the operating model around it. The work turns AI ambition into decision rights, portfolio rules, delivery paths and value measures teams can actually run.
You leave with
- AI CoE mandate and scope
- Roles and decision rights
- AI opportunity intake and prioritisation
- Product lifecycle
- Portfolio governance
- Delivery model
- KPI and value model
- Operating cadence
- 90-day implementation plan
Best for
Organisations moving from scattered AI initiatives and pilots toward a managed enterprise AI capability.
Typical investmentPriced by scope
Typical scope covers a medium-to-large organisation or a defined set of business functions. Group-wide or multi-entity transformation is scoped separately.
04
1 to 3 days per weekFractional AI Product Leadership
You need senior AI product leadership now, without starting a long executive hiring process.
I work directly with executives, product owners, architects and engineering teams on the decisions that connect strategy, architecture and delivery.
Typical scope
- Set portfolio direction
- Prioritise investment
- Shape AI products
- Review architecture
- Fix ownership and delivery gaps
- Move priority products toward adoption
Best for
Transformation programmes that need senior leadership connected directly to delivery.
From$8K/month
Monthly fee depends on the agreed commitment level.
Typical investment ranges are indicative. Final scope and fee are agreed before kickoff and depend on organisation size, stakeholder count, systems involved, regulatory requirements and onsite needs. Production implementation, third-party costs and specialist services are quoted separately. Prices exclude 5% UAE VAT where applicable.
Not sure which engagement fits?
Send me the problem you are facing. I will tell you where I think I add value and where I do not.
Fit
AI product engagement or data product standards?
AI Product Services focus on deciding what to build, how to govern AI portfolios, how agents should work inside the business, and what operating model is needed to move beyond scattered pilots.
ODPS Enterprise Services focus on data product standards, interoperability, implementation and agent-ready product architecture.
Some programs involve both. An AI portfolio or agent architecture engagement can expose the need for stronger data product foundations. An ODPS engagement can expand into a wider AI product operating model.
Explore Data Product ServicesNeed a senior AI product view?
Bring me the problem that needs senior attention.
Discuss an AI product engagement
I now have the time needed for executive advisory, workshops, portfolio reviews, architecture reviews and strategic assignments that deserve proper senior attention.
International advisory, workshop and review engagements can be billed through Data Maestro Academy FZE LLC in the UAE.
Abu Dhabi, UAE