AGILE TRANSFORMATION
There are many new ideas and organisational models for modern companies to choose from, but any one example is unlikely to be a perfect match for your needs. We analyse each model in terms of the capabilities it can create, and we help organisations choose the best techniques and patterns to achieve their goals.
We like to work with small multi-disciplinary teams to coordinate a distributed transformation process involving a much wider network of people throughout the organisation. This approach, working through influence and networks against a common set of capability goals, is a great way to spread new ways of working and make the most of all the different groups and functions that are needed for transformation to succeed.
DISTRIBUTED CHANGE
In every organisation, outside of the formal project structures, there are many more enthusiastic individuals who want to help the organisation work in a more modern, connected way. Mobilising these ‘change agents’ is a great way to create a passionate network to spread new ideas, practices and behaviours.
Enterprise social networks provide access to the wider ‘human sensor network’ of the organisation, and our method involves these people in making sense of change and helping to assess its results in close to real-time. This makes transformation everybody’s responsibility and can provide a great boost to employee engagement.
A TYPICAL PROGRAMME
An agile framework to co-ordinate work on:
- Coalition building: developing and working with change agent networks
- Org models: a toolkit of new structures, techniques and new ways of working
- Tech platforms: service-oriented approach for distributed work, sharing & connecting
- Leadership: leadership guidelines (and future leaders) for the new world of work
- Culture & practice: a conversation with the organisation about suitable methods
- Process improvement: identifying and fixing processes that block new ways of working
EXAMPLE PROJECTS
SELECTED BLOG POSTS
Looking for AI use-cases — Benedict Evans
We’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone, right now? Do Large Language Models become universal tools that can do ‘any’ task, or do we wrap them in single-purpose apps, and build thousands of new companies around that?
‘AI Platforms will Control What Everybody Sees,’ Says Meta’s AI Chief Yann LeCun
“Eventually all our interactions with the digital world will be mediated by AI assistants. This means that AI assistants will constitute a repository of all human knowledge and culture; they will constitute a shared infrastructure like the internet is today,” said Yann LeCun, one of the three godfathers of AI, in his talk at GenAI Winter School recently.
Taking AI to the next level in manufacturing | MIT Technology Review
Few technological advances have generated as much excitement as AI. In particular, generative AI seems to have taken business discourse to a fever pitch. Many manufacturing leaders express optimism: Research conducted by MIT Technology Review Insights found ambitions for AI development to be stronger in manufacturing than in most other sectors.
‘Human intelligence’ – by Helen Beetham
In the guise of starting from something self-evident, the project of ‘artificial intelligence’ in fact serves to define what ‘intelligence’ is and how to value it, and therefore how diverse people should be valued too. Educators have good reason to be wary of the concept of ‘intelligence’ at all, but particularly as a single scale of potential that people have in measurable degrees. It is a statistical artefact that has long been scientifically discredited. It has been used to enforce racial and gender discrimination in education and to justify diverse forms of discriminatory violence, particularly over colonial subjects.
via: https://helenbeetham.substack.com/subscribe?utm_medium=web&utm_source=subscribe-widget-preamble&utm_content=143097365&just_signed_up=true&requires_confirmation=&subscription_id=470916809&referral_token=9dv58&next=https%3A%2F%2Fhelenbeetham.substack.com%2Fp%2Fhuman-intelligence
How much of a finance professional’s work will be done by AI and automation? | AccountingWEB
There is no shortage of people telling us that artificial intelligence will change the working world forever.
There is no shortage of people telling us that artificial intelligence will change the working world forever.
But for all the talk about the profound differences AI will make, you might be left wondering: what will it actually do?
A recent iplicit webinar heard some thoughts on what practical impact AI – and automation more generally – might have on the work of finance and accountancy teams.
The Arc Product-Market Fit Framework | Sequoia Capital
Finding product-market fit is the central quest of every early-stage startup. As we have seen over years of partnering with companies before they reached PMF, there are many ways of thinking about and approaching this quest. We walk founders through the following framework during Arc, our company-building immersion for pre-seed and seed stage companies. Rather than diagnosing whether you have product-market fit, this framework outlines three distinct archetypes of PMF which help you understand your product’s place in the market and determine how your company operates.
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