Initiatives
Over 70% of enterprises report having >10 GenAI initiatives underway.
Q: How many individual GenAI initiatives are currently in proof-of-concept or production at your company?
Fig. 01
The types of initiatives being implemented vary, with agents now a plurality.
Q: Roughly what percentage of your GenAI-related time or effort is allocated across the following initiatives (%)
Fig. 02
Over half of respondents reported their fastest GenAI initiative taking longer than 8 weeks from idea to production.
Q: How many weeks did your fastest GenAI initiative take to go from initial idea to first production use?
Fig. 03
Dreams
Ambitions span from fully automating customer-facing and compliance tasks to augmenting employee productivity in sales, development, and knowledge work.
Q: If you could automate just a handful of problems with GenAI, what would they be?
Fig. 04
Departments
Enterprises are dedicating a greater % of their budgets to workflow automation projects, beyond chatbots and knowledge management.
Q: Please detail the top three GenAI initiatives by investment
Fig. 05
Software engineering and customer support are the two largest recipients of GenAI investment, but all departments have meaningful representation.
Q: How are you allocating GenAI investment across departments?
Fig. 06
Internal projects (IT) investment is roughly 10% and they aim to improve efficiency. They focus on deployment of existing solutions. The rest of the budgets are focused on solutions for our customers via docs & KB chatbot and in product solutions.
T is driving bulk of the use cases in IT Ops and software development. The ROI is much.. easier to capture. Sales and marketing is another department that is spearheading a lot of use case to either upsell to customers or develop new ways to roll-out products.
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Agent Themes
Over 70% of enterprises report having >10 GenAI initiatives underway.
Q: For the top three GenAI initiatives by investment, please provide the following details for each
Fig. 07
ROI
On balance, the ROI is considered to be positive across the sample (+25pp). Most companies that do not yet see ROI are positive that it will realised in the near future.
Q: How would you categorise the return on investment (ROI) on your GenAI initiatives in production today?
Fig. 08
Early measurements indicate that employee productivity is increased 30%.
ROI is still poor because most GenAI deployments are early-stage pilots that carry set-up costs – custom integrations, data cleansing, and added compliance reviews – without yet delivering large efficiency gains.
Strong ROI in apps development and testing, customer sales and service, underwriting productivity, fraud detection and claims processing.
“We are spending a great deal of time, resources, AI tech costs, changing processes and hiring the experts that ROI is yet to be realized. However, I strongly believe that we should be able to reap the benefits soon.
[01.04]
GenAI is most affecting costs today, with employee productivity and revenue growth secondarily.
Q: Which KPIs does your GenAI ROI most closely align to?
Fig. 09
Concerns
Security is the dominant concern when deploying GenAI, far outweighing other factors. A shortage of skilled staff is the second most cited challenge. Despite large AI budgets (see ‘AI Procurement’), proving ROI and managing costs remain major anxieties.
Q: Please rank your top three business concerns about GenAI
Weighted Average (normalised to 10)Fig. 10