Program Delivery

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Overview

AI implementation brings unique delivery challenges—complex data dependencies, ethical risks, unclear ROI, and fast-moving stakeholder landscapes. Without proper governance and program oversight, AI initiatives can stall or fail to meet expectations.

At Altamir, we bring clarity and delivery discipline to emerging technology programs. We specialise in AI delivery governance, PMO setup for innovation portfolios, and delivery assurance for ethical AI at scale. Our approach combines agile, product-led delivery models with ethics-by-design oversight to ensure programs stay on track and aligned with strategic intent.

We support project leads, delivery teams, and executives with business case development, ethics checkpoints, stakeholder reporting frameworks, and delivery health diagnostics tailored to AI complexity.

Why it matters:

  • Avoid delivery delays, ethical risks, and stakeholder misalignment

  • Embed assurance and accountability across AI programs

  • Drive ROI through effective governance and execution

What’s at stake:

  • Poorly managed AI projects increase ethical, financial, and reputational risk

  • Executive and board visibility suffers without structured oversight

  • Innovation fatigue and delivery chaos erode confidence in transformation

Industry Insight

“60% of organisations report unclear roles and ownership as a leading cause of AI delivery failure.” — Capgemini Research Institute, 2023 AI at Scale Study

Our Services:

  • Delivery Governance for AI Programs
    Establishing decision-making structures, controls, and escalation pathways for programs involving advanced technologies.

  • PMO for AI & Digital Portfolios
    Creation and uplift of delivery offices that are responsive to the needs of emerging tech programs, including performance tracking and risk governance.

  • Ethics and Risk Integration in Program Lifecycles
    Designing checkpoints and review stages to ensure responsible AI principles are embedded into agile, iterative delivery processes.

  • Business Case Development for AI Initiatives
    Clear, defensible investment logic for AI use cases—including value modelling, cost-benefit analysis, and non-financial risk considerations.

  • Third-party Technology and Vendor Evaluation
    Independent assessments of AI tools, platforms, and partners—ensuring alignment with your governance, ethical, and technical standards.

  • Program Assurance and Recovery
    Independent reviews of in-flight programs to identify issues, provide course correction, and restore delivery momentum.

Whether you’re delivering your first AI project or scaling across a portfolio, we provide the rigour and foresight to keep delivery on track and risk in check.

Resources

Download Altamir’s Regulatory Readiness for Responsible AI

A compliance checklist to evaluate organisational readiness across privacy, transparency, bias, and legal obligations in AI deployment.

Bring the discipline, accountability and delivery to your next project

AI and automation programs require strong oversight—especially where the risks are high, and the impact is cross-functional.

Altamir brings delivery discipline to the world of intelligent systems, ensuring outcomes are realised safely, on time, and in full alignment with organisational standards.