From AI Value Creation Plan to Implementation

AI value creation plan design and tracking

AI Governance

AI Org Design

AI Use Case Factory

AI Platform Design

Marketing Engineers

Impact on business models, revenue capture, and efficiency plans. A plan with owners, numbers, and a tracking discipline, not a slideware ambition. 

For a large international bank, Sia's AI-driven OrgReview assessed the Compliance function across 50+ FTEs, identifying up to 26% efficiency upside. The analysis unlocked the equivalent of 3 FTEs in capacity across 25 priority roles, giving leadership a clear, data-backed path to redeploy talent toward higher-value work.

A commercial real estate data provider applied the same approach to its HR function, uncovering a 20 to 30% administrative automation potential, freeing the team to focus on strategic workforce initiatives rather than routine process work.

Ontology and the Agent/AI control tower: one view of every model and agent in production, who owns it, what it costs, and what it is allowed to do.

A top tech company's Legal function stood up an AI Center of Excellence platform as a 4-week MVP, built by a single engineer, cutting manual reporting time by 80%. The engagement was anchored in Sia's AI ValueOps framework: five governance dimensions (Cost, Usage, Model, Agent, Value), a clear RACI across CEO, CFO, CIO, CDO, and CAIO, and has now been tested across roughly ten organizations. At the core is Agent Governance, defining autonomy levels, spend caps, and a kill switch, in short, a "no secret agents" plan.

Upskilling, workforce planning, and org review. The organization that runs AI is as much the deliverable as the AI itself. 

A repeatable engine to source, qualify, build, and scale use cases, starting from the Agent Store catalog rather than a blank page.

From "Should We?" to "Which Roles First?": AI Readiness in Biopharma Commercial Operations

For a global biopharmaceutical leader, Sia mapped 25 commercial and medical affairs roles across Iberia, covering 90+ individuals and roughly 450 tasks. The assessment found 80% of tasks were AI-assistable, prioritized 3 of 12 identified use cases for near-term deployment, and defined 3 role archetypes to guide the transformation. As the client put it, the work "shifted the conversation from should we invest in AI to which roles do we transform first."

Designing a New Division Around AI-Ready Roles

A leading professional services organisation stood up a new corporate affairs division and used Sia's assessment to map 21 roles and 400+ activities, surfacing 12 AI use cases. The findings were fed directly into the operating model design, ensuring the new division was built around AI-ready roles and workflows from day one.

From Feasibility Debate to Business Case: AI OrgReview in Bank Compliance

A large international bank applied Sia's AI OrgReview to its compliance operations across 50+ FTEs, modeling realistic versus optimistic time-savings scenarios and identifying FTE-equivalent savings across 25 compliance roles, alongside shared services and centralisation options. The engagement "moved compliance leadership from debating AI feasibility to planning concrete operating model changes with a quantified business case for each."

Sia built Agent Forge on Amazon Bedrock AgentCore to deploy AI agents directly into client environments, from SaaS products to bespoke client applications. Proven internally as Sia's own first use case ("client zero"), the platform now powers 1,000+ agents in production, demonstrating a repeatable path from agent prototype to enterprise-scale deployment.

The platform choices that decide speed and cost for years: architecture, tooling, and the build-versus-buy lines. 

Engineering applied to the marketing function: agentic campaign operations, content systems, and measurement built as production systems.

Frontier model readiness plan, vulnerability management plan, and the no secret agents plan: every agent declared, governed, and auditable. 

Sia's ecosystem of partnerships with Hyperscalers.