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Turning AI investment into enterprise value.
AI transformation advisory.
The Power of AI. The Potential of People™.
Leading brands we have worked with
The AI Value Operating Model (AIVOM™)
Most organisations have deployed AI. The gap between deployment and operating impact continues to widen. Workflows remain designed for human-only execution. Agents and AI-enabled processes are running without systematic management. Governance, quality, and performance frameworks were built for a pre-AI environment.
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AIVOM™ (the AI Value Operating Model) is Envisago's proprietary methodology for closing that gap. It operates as a continuous loop across four elements:
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Value. What value is being sought and how it aligns to the organisation's strategic direction. Every engagement starts here.
Design. How the workflow operates with AI. Where AI sits, at what level of autonomy, with what boundaries, quality gates, and agent specifications.
Capability. How roles, responsibilities, and human judgement change within the redesigned operation. What people need to be able to do, not just what tools they need to use.
Performance. What results to track across speed, quality, value, and cost. The measurement framework that confirms whether the redesigned operation is delivering the value it was designed to produce.
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These four elements operate at two levels: at the individual workflow level, where each element is applied to a specific process, and at the functional or organisational level, where the same elements govern how AI-enabled operations are managed, evolved, and measured across the enterprise.
Three Service Disciplines
AI Workflow Design
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Redesigning how work runs when AI becomes part of the operation. Where AI sits in the workflow, at what level of autonomy, with what quality gates, under whose accountability, and with what performance measures in place. The foundational engagement where every client relationship begins.
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AI Agent Management
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Designing the systems for managing AI agents and AI-enabled processes in production. Agent lifecycle, quality tracking, drift detection, performance monitoring, and the protocols for review, update, and retirement. The discipline most organisations have not yet built.
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AI Operating Governance
Designing the roles, quality systems, risk controls, and governance structures that hold AI-enabled work together at scale. Roles and ownership, quality and performance oversight, risk and assurance, and compliance integration. For organisations scaling AI across multiple workflows and teams.
These three disciplines are delivered through AIVOM™, the AI Value Operating Model: a continuous loop connecting Value, Design, Capability, and Performance. Every engagement starts with the value the organisation is seeking and measures whether the redesigned operation delivers it.
What Our Clients Say
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Clia brought strategic clarity and focus to a complex transformation initiative, translating technical concepts into actionable business direction. Her ability to align diverse teams around shared goals helped us unlock new value through AI-enabled solutions.
IT Manager & Head of Digital Centre of Excellence, Global Consumer Brand
Working with Clia over an extended period brought measurable clarity and confidence to our transformation journey. She played a pivotal role in shaping our vision for technology-enabled service excellence and strengthening our leadership team’s capability to apply AI-driven approaches.
Head of Customer Operations Europe, Global Automotive Brand
Clia guided our leadership team through significant change with a calm, structured approach. Her coaching style built confidence in adopting new technologies, improved decision-making, and helped us embed more effective, human-centred ways of working.
Head of CRM Europe, Global Automotive Brand
Where to Start
Most organisations begin with a single workflow.
The AI Workflow Review is a focused assessment of one operational workflow. You share the documentation. We review it and return a written perspective on where the design gaps are, where AI is misaligned with the operating reality, and what we would prioritise. It is a low-commitment way to see how Envisago thinks and whether the approach fits your organisation.
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From there, the AI Workflow Design Sprint is the foundational engagement: a complete redesign of how one workflow operates with AI, delivered over three to four weeks. Value definition, future-state design, agent specifications, quality gates, capability requirements, and a performance framework. One deliverable. Immediately actionable.
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Subsequent engagements build from what the sprint reveals, whether that is additional workflow sprints, agent management design, or the governance architecture that holds AI-enabled operations together at scale.
The Power of AI. The Potential of People.™
Office Location
Springfalls New Mills
Brownsmills Kinsale, Co. Cork
Republic of Ireland
