TL;DR
In response to G2’s evaluation of 1,250+ verified Rising AI evaluations and survey responses, almost 1 in 3 patrons explicitly point out changing or consolidating instruments – but each vendor surveyed admits AI nonetheless can’t totally change people, as they’re wanted for human-dependent steps, equivalent to exception dealing with, approvals, or one-off judgment calls.
There’s little question that we’re consistently instructed that AI software program can change present disparate software program, workflows, and even complete tech stacks. But the fact of what will get changed is much extra nuanced than distributors sometimes pitch. However when G2 surveyed six distributors constructing agentic AI, AI brokers, and comparable rising AI instruments about what their software program really replaces, a clearer image has emerged exhibiting rising AI software program as much less “totally autonomous” and extra “selectively highly effective”. Concerning full autonomy, each respondent confirmed that there is nonetheless part of the workflow that no AI system can deal with by itself, equivalent to making one-off judgment calls and dealing with exceptions.
Most deployments change some instruments, increase others, and nonetheless want people for key choices. Consumers have to know this earlier than signing a contract.
Methodology: How I evaluated rising AI options
- G2 Overview Information
- Opinions analysed: 1,250+ | Interval: 2026 YTD | Class: Rising AI
- Vendor Analysis
What counts as “rising AI software program” proper now?
For this report, we deal with rising AI software program as merchandise constructed round foundational AI capabilities, equivalent to generative AI, retrieval-augmented era, and autonomous brokers, which can be actively reworking or changing a workflow a purchaser used to run with a number of instruments.
This software program goes past AI brokers or agentic AI as a result of it covers AI-native platforms inside classes like content material administration, demand planning, and product analytics which have rebuilt their core workflow round AI, reasonably than including AI onto an present instrument. Each Kanerika and Amplience make this clear by describing that their merchandise entered the market as a system changing a complete workflow from day one.
How a lot of your tech stack does rising AI really change?
The trustworthy reply is that it relies on how large the workflow is to start with, and our information reveals two distinct patterns reasonably than one stand-out pattern.
Three respondents, Rapidops, Amplience, and invent.ai, reported that their major workflow required 10 or extra discrete instruments earlier than their product was adopted, equivalent to BI and analytics, workflow automation, inner dashboards, and custom-built inner instruments. After adoption, all three respondents reported consolidating 6 to 10 of these instruments into their platform.
This doesn’t essentially imply it’s a weaker end result. Kanerika‘s product sometimes entered a workflow with fewer pre-existing instruments to start with, and the corporate says it accomplished 75 to 90 p.c of the workflow inside its personal platform, whatever the preliminary instrument depend. This information signifies that the variety of instruments changed by extremely rated rising AI instruments is superficial until it is learn and measured in opposition to the scale of the tech stack to start with.
“We entered as a change companion that developed from fixing particular workflow and integration challenges into delivering end-to-end AI-driven techniques throughout capabilities.”
Sourabh Gurga
Advertising and marketing Supervisor, Rapidops
“What beforehand required a number of instruments and handbook handoffs is now managed inside a single, steady decisioning loop. Planners shift from manually creating and adjusting choices to supervising outcomes and dealing with exceptions.”
Hayley Brown
Content material & Communications Strategist, Invent.AI
Two different survey respondents, Kanerika and Leo AI, each famous smaller beginning workflows (3 to 10 instruments) and reported consolidating only one to 2 instruments after adoption. Nonetheless, even consolidating or updating one workflow could make an enormous distinction relying on the wants of a particular workforce.
When requested how clients place their product internally, each vendor described a hybrid mannequin, changing some instruments whereas augmenting others. Leo AI was the one exception, with clients treating it as a layer on high of present instruments reasonably than a alternative.
In actual fact, primarily based on 1,250+ verified G2 evaluations from the Rising AI class, 29%, or almost one out of each three reviewers, point out changing and/or consolidating their present instruments with AI.
“One buyer initially switched from ChatGPT to Leo as a result of they wanted larger constancy technical sources they might really belief.”
Maor Farid
CEO & Co-Founder, Leo AI
Why do rising AI implementations fail to fulfill expectations?
In response to our respondents and G2 evaluation information, customers of rising AI purposes in 2026 generally underestimate and overestimate the way it can have an effect on their workflow.
Rising AI is marketed and supposed to alter and/or change workflows, and this modification administration turns into a fancy undertaking. Usually, patrons assume utilizing the expertise is the laborious half when, the truth is, the implementation turns into tougher. As a result of the platforms will be so complete, customers can’t simply ‘plug and play’ in a couple of minutes. The AI must be taught the precise enterprise logic of the corporate, and this preliminary setup can particularly really feel overly difficult for a smaller workforce with fewer assets and fewer expertise with any such expertise. Our survey response information confirms that 67% of them named workflow redesign or change administration as the problem that clients mostly underestimate.
Potential patrons additionally overestimate what is feasible with rising AI software program. Kanerika’s Sushree Swagatika says clients mostly overestimate “discount in human involvement” – the expectation that AI will remove headcount or totally automate human-dependent steps. Customers typically assume that one AI platform will clear up their tech stack by changing all instruments, making them redundant. This isn’t to say rising AI merchandise are failing their clients; reasonably, buyer expectations don’t align with what these instruments really ship.
“Prospects mostly overestimate discount in human involvement.”
Sushree Swagatika
B2B Advertising and marketing, Kanerika
What this implies for patrons evaluating rising AI options in 2026
Firstly, patrons have to needless to say rising AI software program can consolidate instruments, however the variety of instruments is uneven. Relying on the scale of the workflow, a vendor in a position to change an enormous workflow with 10 instruments and one other firm with a lean workflow of solely 2 instruments can each achieve success in integrating rising AI software program, albeit with completely different objectives.
Second, full autonomy received’t occur as of now, and distributors cite that human involvement remains to be wanted for exception dealing with, approvals, or one-off judgment calls. And lastly, patrons can’t underestimate the monetary and time funding wanted only for implementation.
Whatever the firm, workforce, or workflow dimension, any rising AI software program will must be taught about present workflows and particular enterprise logic. As rising AI software program continues to evolve, patrons ought to consider these platforms not just for what they’ll automate at this time, but in addition for the way nicely they’ll adapt to future enterprise wants. Organizations that put money into scalable AI options and thoughtfully redesign their workflows might be higher positioned to unlock larger effectivity and long-term worth because the expertise matures.
Discover the top-rated Rising AI instruments on G2 and see how verified patrons are evaluating them.
