DFP helps enterprises make AI work safely, securely and at scale by strengthening foundations, redesigning operations, and enabling trusted AI through an independent, solution-agnostic AI OS approach.
Our enterprise AI offering
AI Remediation
Deliver enterprise AI transformation that reshapes how the organisation operates. DFP combines operating model expertise with our AI OS approach to align strategy, process design and governance, then mobilises priority initiatives that lift productivity, service quality and decision-making with clear accountability and measurable outcomes.
AI Transformation
Deliver enterprise AI transformation that reshapes how the organisation operates. We align strategy, operating model, process design and governance, then mobilise priority initiatives that lift productivity, service quality and decision-making with clear accountability and measurable outcomes.
AI Operating System (OS)
A foundation-led AI operating system that orchestrates how AI is designed, secured and scaled across the enterprise. We establish reusable patterns, controls and platform building blocks so AI initiatives can move faster with confidence, lower risk and minimal rework.
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How DFP can help
Redesign the operating model for AI
Redesign the operating model for AI so it can scale reliably across the enterprise, aligning ownership, ways of working and delivery models to drive accountability and control.
Modernise processes and services end to end
Modernise priority processes and services end to end, embedding AI, automation and data to improve performance, service quality and how work is executed.
Governance and value realisation disciplines
Establish policy, risk controls, portfolio management, and benefits tracking so AI investment is managed like any other strategic program.
Security, privacy and governance
Embed security, privacy and governance controls suitable for production AI, including identity, access, monitoring, logging and risk management, so AI operates safely, securely and with trust at scale.
Reference architecture and platform patterns
Establish secure, reusable reference architectures and platform patterns for copilots, agents, retrieval, integration and deployment, enabling faster, lower-risk AI delivery at scale.
AI strategy and use case portfolio
Define and prioritise an AI use case portfolio, success measures and execution roadmap aligned to business outcomes, value potential and delivery feasibility.
Performance reporting and operational cadence
Embed performance reporting and a disciplined operating cadence to give leaders clear visibility, enable timely intervention and sustain AI-driven improvements over time.
Change management and adoption support
Support change and implementation by aligning ownership, capability and operating procedures so AI initiatives are executed effectively and embedded into business as usual.
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