LeadExecutive decision support, AI strategy, AI Center of Excellence setup, product portfolio management, investment prioritisation, and operating models.
BuildAgent architecture, agent harnesses, MCP, APIs and SDKs, knowledge graphs, governed data product context, and hands-on prototyping.
01
AI Portfolio Review
2-week reviewToo 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 forOrganisations 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
Agentic AI Architecture Sprint
3 to 4-week sprintYou 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 forTeams 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
AI Product Operating Model
4 to 6-week engagementAI 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 forOrganisations 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
Fractional AI Product Leadership
1 to 3 days per weekYou 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 forTransformation 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.
Open Data Product Standards
ODPS Enterprise Services
Work directly with the creator and maintainer of ODPS on evaluation, architecture fit, implementation review, agent-readiness, governance and enterprise adoption.
