In a world of prompt engineering, the only limit is our imagination and the questions we ask. No-code, cross-functional development is coming, which means common roadmaps and goals are vital.
Developing Technology Capabilities
The rapid pace of change in enterprise AI is leading to a proliferation of no-code prototyping and development, which promises to re-invigorate the digital workplace, but also requires careful oversight and stewardship by technology functions.
In a world of prompt engineering, it has never been easier to involve non-technical functions in the development process, but this also poses challenges for managing and aligning outcomes.
Masterclass Series
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AI Capability Mapping & Prioritisation
Effective AI transformation begins with a clear understanding of where it can make the greatest impact. This service helps you map your organisation’s current capabilities, identify high-value opportunities, and prioritise AI initiatives that align with your strategic goals. By focusing efforts on the most impactful areas, you can achieve faster, more scalable AI adoption, laying a solid foundation for ongoing innovation and growth.
Entry-level:
- A 1-day AI Capability Mapping Workshop, 1:1 interviews and desk research, delivering an initial capability map, priority areas, and recommendations for next steps
Next Steps:
- Bespoke AI capability development projects
- No-code prototyping with business functions
- AI Learning Programmes
The AI-Enhanced Digital Workplace
Successful adoption of enterprise AI will involve embedding it within the digital workplace to enable more fluid human-AI collaboration and sense-making. This has huge potential to re-invigorate digital work platforms once integration and data readiness challenges are overcome. Finding the right combination of platforms, apps and SaaS services is also an increasingly important question in a time of such rapid innovation.
Entry-level:
- An initial digital workplace audit and mapping to inform a technical workshop to develop a roadmap and action plan
Next Steps:
- Digital workplace design and development
- AI agent development and integration
- Ai data and knowledge graph readiness
Ensuring Cross-Functional AI Readiness
Building organisational readiness for AI adoption while fostering better communication and collaboration between IT and business stakeholders. Through interactive workshops, teams will not only assess their AI readiness but also develop skills for aligning IT and business priorities to drive digital transformation. The offering is designed to be simple, cost-effective, and easy for senior leaders to approve.
Entry-level:
- A capability alignment workshop to help different stakeholders follow a common roadmap and make better tech decisions
Next Steps:
- Digital leadership oversight groups and processes
- Capability mapping and roadmap development
- AI learning for non-technical stakeholder leaders
