OUR SERVICES

Agentic AI for Organizations

From AI experimentation to intelligent systems that can act.

We help government entities and organizations identify where Agentic AI can create meaningful value, redesign workflows around human–AI collaboration, develop custom agents and build the internal capabilities needed to adopt them effectively.

Our approach brings together strategy, research, service and workflow design, AI development, prototyping, integration, evaluation and capability building—turning emerging AI capabilities into systems grounded in real organizational needs.

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BEYOND PROMPT-RESPONSE AI

From answering questions to carrying out work

WHAT WE HELP ORGANIZATIONS DO

Build the organizational capability around Agentic AI

  • Identify where Agentic AI can create meaningful value.

    We examine services, workflows, roles, information flows and organizational challenges to identify opportunities worth pursuing—and distinguish them from processes where simpler technologies may be more appropriate.

  • Rethink how people, AI and systems work together.

    We redesign workflows around appropriate divisions of responsibility between people and agents, considering where AI can support, coordinate or execute and where human judgement, escalation or approval remains essential.

  • Develop custom agents around real organizational needs.

    We design and prototype agents, connected workflows and multi-agent systems that can work with organizational knowledge, data, platforms and approved tools.

  • Prepare people to work effectively with increasingly capable AI.

    We develop tailored training and capability-building programmes for leadership, specialist teams, operational staff, technical teams and internal AI champions.

  • Establish appropriate oversight and control.

    We help define roles, permissions, evaluation criteria, human checkpoints, escalation pathways and operating principles for responsible Agentic AI adoption.

  • Move from experimentation toward sustainable organizational capability.

    We test systems in context, measure outcomes, refine their performance and support the transfer of knowledge and capability to internal teams.

OUR AGENTIC AI SERVICES

From opportunity to implementation

  • Organizations often know they need to engage with Agentic AI before they know where it can create the greatest value.

    We work with leadership and teams to understand existing processes, identify friction points and explore opportunities across services, operations, knowledge work and decision-making.

    Rather than beginning with a technology, we begin with the organization.

    Our work can include:

    • Agentic AI opportunity mapping

    • Organizational and workflow research

    • AI readiness assessment

    • Stakeholder interviews and workshops

    • Use-case discovery

    • Use-case prioritization

    • Feasibility assessment

    • Value and impact mapping

    • Risk and dependency identification

    • Agentic AI strategy

    • Implementation roadmaps

    • Pilot recommendations

    The outcome is a focused set of opportunities and a clearer understanding of where to start, why it matters and what would be required to make it work.

  • Agentic AI creates the greatest value when organizations reconsider the workflow itself—not when a new tool is simply placed on top of an existing process.

    We map how work currently moves between people, information and systems, then explore how AI agents could support or transform that flow.

    This may involve removing repetitive steps, improving coordination, connecting fragmented information, enabling faster access to knowledge or creating new forms of human–AI collaboration.

    Our work can include:

    • Workflow mapping

    • Service journey analysis

    • Process redesign

    • Human–AI role definition

    • Agent interaction design

    • Approval and escalation pathways

    • Information-flow design

    • Cross-system orchestration

    • Human-in-the-loop workflows

    • New service concepts

    • Future workflow prototyping

    • Organizational operating models

    The objective is not automation for its own sake. It is to create better ways of working and delivering value.

  • We design and develop agents around specific organizational needs.

    These can range from focused agents supporting one team or workflow to interconnected systems capable of coordinating information, tools and actions across multiple stages of a process.

    Agents can work with organizational documents and knowledge, approved APIs, databases, software platforms and other digital services while operating within defined permissions and human oversight.

    Potential solutions can include:

    • Custom AI agents

    • Research and intelligence agents

    • Knowledge agents

    • Internal support agents

    • Service agents

    • Workflow agents

    • Project coordination agents

    • Data analysis agents

    • Reporting agents

    • Tool-using agents

    • Multi-agent workflows

    • Multi-agent system prototypes

    • Enterprise knowledge systems

    • Agent-enabled platforms

    Depending on the project, we can support the journey from concept and proof of concept through prototyping, testing, integration and implementation.

  • Technology adoption depends on people being able to understand, use, evaluate and shape it.

    We develop customized Agentic AI learning programmes for organizations and government entities—from leadership awareness to hands-on capability building for teams developing and managing their own AI-enabled workflows.

    Training is designed around the roles, workflows, opportunities and challenges of the organization, rather than teaching AI tools in isolation.

    Programs can include

    • Executive & Leadership Briefings: Strategic sessions exploring what Agentic AI means for the organization, emerging capabilities, opportunities, risks and implications for leadership.

    • Agentic AI Literacy: Practical foundations helping teams understand how agents work, what they can and cannot do, and where they may contribute to everyday work.

    • Role-Based AI Training: Programs tailored to particular functions, departments or professional roles and focused on relevant applications.

    • Hands-On Agent Building: Applied workshops in which participants design, prototype and test agents around real or representative organizational workflows.

    • Agentic Workflow Workshops: Teams map existing processes and explore where agents, automation and human judgement could work together more effectively.

    • Applied AI Bootcamps: Multi-session programmes combining learning, experimentation and the development of organization-specific prototypes or use cases.

    • AI Champions Programs: Capability development for selected internal teams who can support experimentation and adoption across the organization.

    • Train-the-Trainer Programs: Programs designed to transfer knowledge and methods to internal facilitators so capability building can continue within the organization.

    • Responsible AI & Agent Governance: Training focused on permissions, oversight, evaluation, data, security, accountability and responsible deployment.

    Programs can be delivered as focused sessions, workshops, multi-day programmes, applied sprints or longer-term capability-building engagements.

  • As AI systems become capable of taking actions rather than simply generating outputs, governance needs to evolve with them.

    We help organizations establish practical frameworks for determining what an agent can access, what it can do independently, what requires human approval and how its behaviour and outcomes are monitored.

    Our work can include:

    • Agent roles and boundaries

    • Human oversight models

    • Permission design

    • Access and authorization principles

    • Escalation pathways

    • Evaluation frameworks

    • Testing protocols

    • Quality and reliability assessment

    • Performance monitoring

    • Auditability and traceability requirements

    • Responsible AI principles

    • Risk mapping

    • Governance guidelines

    • Internal adoption protocols

    Governance is considered throughout the design process rather than added only after a system has been built.

POTENTIAL APPLICATIONS

Where can Agentic AI create value?

Agentic AI can contribute across many areas of an organization. The right application depends on the workflow, information environment, level of autonomy required and value created.

  • Agents that search, synthesize and connect information across organizational knowledge, documents and approved sources.

    Examples: research support, precedent analysis, internal knowledge retrieval, briefing preparation, regulatory or policy research.

  • Agents that help coordinate tasks, information and processes across people and systems.

    Examples: operational support, workflow routing, document processing, follow-ups, task coordination and status synthesis.

  • Agentic systems that support teams in navigating requests, information and multi-step service journeys.

    Examples: service support, case preparation, information retrieval, request routing and staff assistance.

  • Agents that work across data sources to gather information, identify relevant changes and prepare outputs for people to review.

    Examples: recurring reporting, KPI interpretation, monitoring, data synthesis and management briefings.

  • Agents connected to approved organizational information that help employees locate, interpret and use institutional knowledge.

    Examples: policies, procedures, project archives, technical documentation, internal resources and institutional memory.

  • Systems in which specialized agents work together across different stages of a larger task or process.

    Examples: research-to-report workflows, service orchestration, cross-system information processing and complex operational workflows.

DESIGNED AROUND YOUR ORGANIZATION

We are platform-agnostic

The right Agentic AI architecture depends on the organization—not on a predetermined technology stack. We can work with an organization's existing digital ecosystem and approved technology environment, connecting agentic systems where appropriate to:

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Enterprise knowledge bases

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Document repositories

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Databases

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APIs

•

CRM and ERP systems

•

Collaboration platforms

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Internal applications

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Dashboards

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Cloud services

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Connected products and IoT systems

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Existing AI platforms and models

• Enterprise knowledge bases • Document repositories • Databases • APIs • CRM and ERP systems • Collaboration platforms • Internal applications • Dashboards • Cloud services • Connected products and IoT systems • Existing AI platforms and models

HOW WE WORK

Start focused. Learn quickly. Scale what works.

Agentic AI projects do not always need to begin with a major transformation programme.

We often begin with one carefully selected opportunity and use it to learn what works before extending the approach.

We can enter at any stage—from early strategy and training to an already-defined Agentic AI project requiring design, development or evaluation.

  • Research the organizational context, people, systems, workflows and objectives.

  • Identify friction points, information flows and potential areas for agentic intervention.

  • Evaluate opportunities according to value, feasibility, readiness, risk and potential impact.

  • Build a focused agent, workflow or proof of concept that makes the proposed system tangible.

  • Connect validated systems to the relevant tools, data and organizational processes.

  • Develop internal capability, document knowledge and establish the foundations for wider deployment and continuous improvement.

COLLABORATION MODELS

Different ways to work with us

  • A focused engagement to identify and prioritize high-value opportunities within an organization.

    Possible outcomes: opportunity map, prioritized use cases, workflow analysis and recommended next steps.

  • Design, prototype and evaluate a focused agent or agentic workflow around a real organizational challenge.

    Possible outcomes: working prototype, user testing, technical feasibility assessment and implementation roadmap.

  • A deeper engagement to design, develop and integrate a custom agentic system.

    Possible outcomes: custom agents, connected workflows, platform integrations, interfaces, evaluation systems and deployment support.

  • Customized training and applied workshops designed around specific teams, roles and organizational objectives.

    Possible outcomes: trained teams, internal use cases, prototypes, AI champions and adoption frameworks.

  • An ongoing collaboration in which IBDÅ works alongside internal teams to explore, prototype and develop emerging AI opportunities over time.

WHY IBDÅ

Strategy, design and technology in one process.

Agentic AI is simultaneously a technology, workflow, service, organizational and human challenge.

IBDÅ brings these perspectives together.

Our multidisciplinary approach allows us to move between strategic questions and tangible experimentation—researching an organization, understanding its people and systems, redesigning workflows, prototyping technology and testing how it operates in practice.

  • Strategy, research, design, AI development, prototyping and implementation are coordinated within one process.

  • We move beyond recommendations into prototypes and practical experimentation.

  • We design the people, workflows, interfaces and oversight mechanisms around the technology.

  • Where appropriate, we work alongside internal teams so knowledge and capability remain within the organization.

  • Based in Dubai, we understand the rapidly evolving AI landscape of the UAE while working across regional and international contexts.

BASED IN DUBAI

Working across the UAE and the region

IBDÅ is based at in5 Design in Dubai Design District (D3), UAE.

We collaborate with government entities, corporations, institutions and innovation teams in Dubai, Abu Dhabi, across the UAE and the wider region. Projects can combine in-person research and workshops with remote collaboration, development and implementation.

Start a Project

Where could Agentic AI create value in your organization?

Whether you already have a defined Agentic AI initiative or are still identifying where to begin, we can help determine an appropriate first step.

Tell us what you are exploring.

OUR AGENTIC AI SERVICES

FAQ

  • Yes. We can design and prototype custom agents around specific workflows, knowledge sources, data and organizational systems. Depending on the project, this can extend into integration, implementation, evaluation and capability transfer.

  • Potentially. Agents can be designed to interact with approved APIs, databases, knowledge repositories, enterprise software and other tools. Integration depends on the technical environment, available access, security requirements and governance policies of the organization.

  • Yes. We develop customized Agentic AI training and capability-building programmes for government entities, organizations and teams in Dubai and across the UAE. These can range from executive briefings and AI literacy to hands-on agent-building workshops, applied bootcamps and train-the-trainer programmes.

  • Yes. Agentic AI opportunity discovery is one of the areas we support. We can map workflows, identify potential applications and assess opportunities according to organizational value, feasibility, readiness, dependencies and risk before significant development begins.

  • We determine what actions an agent may take, what information it may access, what requires human approval and how outcomes can be monitored and evaluated. Governance is incorporated into workflow and system design from the beginning.

  • Yes. Our Agentic AI offer is designed for both government and corporate contexts and can cover strategy, workflow transformation, custom development, capability building, governance and applied experimentation.