Rakesh Vaddadi, CEO and co-founder of Beacon.li, did not come to enterprise software implementation from the consulting world. He came to it from support.
Beacon.li began with B2B support automation, focused on the post-go-live issues that users and support teams face after a system is already live. As the company worked with customers, Vaddadi says, it found that many of those issues traced back to implementation. His view is that implementation failure is often misunderstood as a project management problem, when it is really a product adoption problem.
“You can improve product adoption, but only up to a point,” Vaddadi says. “If implementation is not solved properly, time-to-value will still suffer.”
Where Implementations Lose Context
Vaddadi describes enterprise software implementation as six steps that can be grouped into three larger phases: requirement gathering, core setup, and production readiness.
The first pressure point, he says, usually appears in requirement gathering, where teams collect needs, secure client sign-off, map those requirements to product capabilities, and return for another round of approval before configuration can begin.
That process consumes expensive consultant time because it depends on product expertise that is often unevenly distributed across the delivery team.
“Projects also fall behind because teams don’t always know the full implementation capabilities of the product for every client nuance,” Vaddadi says, “so they end up depending on other experts to collaborate and fill those gaps.”
The second breakdown comes later. Configuration quality depends on the quality of the requirement blueprint. When the blueprint misses context, the problem may not become visible until testing, user acceptance testing, or production-readiness work, when teams discover that what was configured does not match what the customer expected.
That is why Vaddadi frames implementation as a context problem. The handoff between requirement gathering, configuration, testing, and cutover determines how much knowledge survives the process. When that context lives mainly with individual consultants, implementation remains difficult to scale.
How Support Problems Led Beacon.li Upstream
That diagnosis came from Beacon.li’s own product history. Before Beacon.li moved into implementation, Vaddadi says the company focused on B2B support automation, especially complex support and hypercare.
The product grew out of work Vaddadi had done earlier at WINDO, where his team built an in-product assistant for search, guidance, troubleshooting, and workflow automation.
The principle behind that work was simple: users should not have to learn a product in order to use it. At WINDO, that meant helping people find value inside the product more quickly. Beacon.li applied that idea to enterprise software support, where users and support teams often need help understanding what a system can do after it goes live.
Customer work pushed the company further upstream. Vaddadi says one client pilot showed that many support issues were not only post-go-live problems. They were the downstream result of decisions made during implementation.
Beacon.li still supports hypercare, but Implementation Studio extends the company’s original support thesis into configuration, testing, migration, cutover, and production readiness. The goal is to reduce the gaps that create support demand later, rather than only helping teams respond to those issues after go-live.
“Through a pilot with one client, we realized that implementation was actually the main reason behind the high volume of hypercare issues and support requests,” Vaddadi says.
What Implementation Studio Does
Implementation Studio works inside the target enterprise software environment, using a product knowledge graph to map customer requirements against product capabilities and implementation steps. Vaddadi says the goal is to make expert implementation judgment more repeatable, so delivery teams are not relying on the same senior specialists.
“If you could capture a product’s knowledge graph and map requirements against it, you could replicate the knowledge of the best implementation experts more consistently across implementations,” Vaddadi says, “instead of scrambling to put your top expert on every important account.”
That does not mean every stage can be automated equally. Vaddadi says Beacon.li sees its strongest results after requirements have been validated, when the platform can support configuration, testing, data migration, and cutover.
Requirement gathering still requires people to review the customer’s needs, validate assumptions, and approve the blueprint before downstream work begins. “I don’t think the human element can be removed from that part of the process,” Vaddadi says. “But once that phase is complete, the downstream execution becomes far more efficient.”
Where Beacon.li Fits in Enterprise Implementation
Beacon.li is focusing first on enterprise software built for specific industries or business domains, where implementation depends heavily on specialized configuration knowledge. That focus does not remove broader platforms from the implementation discussion, but it clarifies the type of work Vaddadi believes Beacon.li is best positioned to address today: products where setup knowledge is deep, private, and difficult to standardize.
“Implementation knowledge in those vertical products is often private, highly nuanced, and not publicly documented, especially when it comes to configuration and backend setup,” Vaddadi says. “Public documentation may tell users how to operate the product, but not how to set it up deeply.”
That same focus shapes Beacon.li’s relationship with system integrators (SIs). Vaddadi says the company works directly with enterprise software vendors, but SI partners give Beacon.li a broader route into the market because they operate across multiple products, customers, and implementation environments.
The commercial argument depends on margin. Vaddadi says SIs already know that traditional hourly billing will move toward outcome-based or hybrid pricing. Beacon.li’s role is to help them make that shift without weakening the economics of delivery.
“If an SI used to have a $2 million engagement with a $1 million margin, but with Beacon they could deliver a $1.7 million engagement while still making a $1.2 million margin, they would prefer the second outcome,” Vaddadi says.
What This Means for ERP Insiders
Requirement quality determines automation value. Beacon.li’s strongest gains appear after requirements have been validated and approved. Organizations that invest in structured requirement gathering before deploying implementation AI will compress configuration, testing, and migration timelines more effectively.
Vertical software offers the clearest first use case. Beacon.li’s focus on domain-specific software points to products where setup knowledge is private, undocumented, and heavily expert-dependent. Vendors in insurance, HCM, and B2B finance should evaluate implementation AI as delivery infrastructure.
SI economics will reward early movers. Beacon.li’s model helps SIs protect margin as hourly billing moves toward outcome-based contracts. Firms that restructure delivery economics early can reduce engagement size while improving profitability and delivery repeatability.
