Many organizations struggle to achieve sustained adoption and measurable business value from legacy, portal-based enablement platforms such as Seismic, Highspot, Mindtickle, and Showpad. Replacing them with an AI-first revenue enablement platform like Spekit can help consolidate systems, improve seller productivity, accelerate ramp time, and reduce the cost of administering enablement. This guide shows how Enablement and RevOps leaders can build a credible business case for upgrading to Spekit.
Organizations usually consider a replacement when familiar problems have become difficult to ignore: reps cannot find what they need in a large content library, administrators spend too much time keeping material current, and digital sales rooms or coaching features go unused because they sit outside the normal sales workflow.
Spekit takes a different approach. It is AI-first, built on governed GTM knowledge, and designed to work inside Salesforce, Gong, email, Slack, and the other tools reps already use. We call this Enablement in the Flow of Work®. Reps get help without returning to a separate portal, while enablement teams manage fewer systems and fewer versions of the truth.
Why AI-first architecture changes the economics
Adding an assistant to a content portal may make the portal easier to search. The larger problem remains if the assistant is working from knowledge that is duplicated, outdated, incorrectly permissioned, or disconnected from the work underway.
Spekit starts with governed GTM knowledge. Content and answers have clear ownership, permissions, and freshness controls, and AI Sidekick draws from that approved foundation. The same knowledge supports learning, in-workflow guidance, content recommendations, buyer experiences, and agents. Enablement manages it once; reps receive it when and where they need it.
That difference shows up in four parts of the business case.
Replace legacy platform costs and administration
Start with what Seismic, Highspot, Mindtickle, Showpad, or another incumbent platform costs today. Include licenses, premium modules, professional services, AI access, integrations, and the internal time required to keep the system useful.
- Run fewer systems. Spekit brings GTM knowledge, content management, seller learning, embedded guidance, analytics, and buyer-facing Deal Rooms onto the same governed foundation.
- Spend less time cleaning up the library. AI Content Builder helps teams create rep-ready content from trusted sources. Spekit also flags potential duplication and aging material before they become another manual project.
- Update information once. Content Transformation and Nested Speks allow content to be reused, so a change to the source appears everywhere that content is used.
The direct financial impact combines the costs removed and subtracts the cost of making the change:
Improve seller productivity
Reps lose productive time when they leave Salesforce, Gong, or email to search a portal, check whether a document is current, recreate an asset, or ask managers and peers for help. The cost spreads beyond sellers because sales leaders and enablement teams have to respond to requests for answers and content that already exist.
- Reps get answers where they work. AI Sidekick uses governed company knowledge to answer questions without sending the rep to another destination.
- Recommendations reflect the deal in front of them. Opportunity data, Gong call transcripts, and email context help Spekit surface relevant content, coaching, and next actions.
- Reps spend less time preparing buyer materials. AI content creation and Deal Rooms make it faster to tailor and package approved material for an account.
Across published Spekit customer results, teams have reported a 90% reduction in content-search time, 30% fewer routine questions to managers, and more than 4,000 hours reclaimed per quarter from repetitive questions and content search.
The value of that returned capacity can be estimated with:
Reduce ramp time and onboarding cost
Spekit gives new hires a structured learning program, then continues supporting them when they begin working real accounts.
- Give every new hire a clear path. Learning Paths, Topics, Playlists, and AI-generated Knowledge Checks organize onboarding around what someone needs to know for the role.
- Give managers a better view of readiness. Programs can be assigned by team or automatically to new hires, with due dates, reminders, and visibility into completion and progress.
- Keep helping after onboarding ends. AI Sidekick, embedded guidance, and contextual recommendations reinforce the material while new hires are doing the job.
- Keep the learning current. When source content changes, the Learning Path built from it updates and reps can be re-engaged without the enablement team rebuilding the program.
At Employment Hero, role-specific learning and guidance embedded across the revenue stack reduced SDR onboarding time by 25%, from four weeks to three.
The ramp calculation uses the company’s own hiring volume and definition of productivity:
Improve execution of revenue-generating behaviors
The commercial case should focus on a behavior the company already measures. That could be attaching the right partner, using approved competitive messaging, completing a stage-specific action, engaging more members of a buying committee, or responding quickly when a buyer shows interest.
- Put guidance at the point of decision. Reps see the relevant action, process, or competitive guidance while it can still influence the deal.
- Give reps and managers more context. Unified Deal Context brings together signals from Salesforce, Gong, and email.
- Make the buyer experience easier to manage. Deal Rooms give reps one branded space for personalized content, mutual action plans, business cases, and next steps.
- Make buyer activity visible. Reps and managers can see which stakeholders are active and which materials they open, giving the team a clearer reason to follow up.
The calculation should use the company’s own history to connect that behavior to financial value:
Extend the investment to agents
Reps and agents depend on the same pricing, positioning, process, and competitive knowledge. Spekit governs that knowledge once and makes it available to AI Sidekick and other assistants through MCP. The company does not have to recreate, permission, and maintain the same GTM context for every AI tool it adopts.
Build your business case with Spekit
A credible business case starts with the workflows that need to change and the outcomes that matter. Spekit can help identify those opportunities, gather the right inputs, and quantify the value using your company’s own data.
Bring us your current platform and services costs, team size, ramp measure, known workflow friction, and one relevant performance baseline. We will help you build a clear case for replacing the legacy platform and prepare it for Finance.
Build your replacement business case with Spekit
