You signed, and here is what happens next
This is the page to send your team. It walks through how Rapidflare takes you from a signed deal to a production AI experience: what we need from you, what we handle, and who you will be working with along the way.
From your kickoff call onward, a dedicated Forward Deployed Engineer works alongside your team to turn requirements into a working deployment, so nobody on your side is left guessing what comes next.
No prep required for the kickoff call. We will tell you what to bring.
- A dedicated Forward Deployed Engineer
- End-to-end onboarding
- Ongoing optimization included
- Enterprise-ready security
Your team owned five lines. The rest was ours.
“The level of engagement and responsiveness from the team stood out. They collaborated with us to implement additional features that enhanced the solution beyond the original scope.”
The first question you will get is “who has to build this?”
Here is the honest answer, and the one worth relaying: introducing enterprise AI can easily become another internal implementation project. This one is built not to.
Data needs to be connected
RapidflareKnowledge needs to be structured
RapidflareAgents need to be configured
RapidflareAnswers need to be evaluated
RapidflareEdge cases need to be investigated
RapidflareIntegrations need to work
RapidflareFeedback needs to be monitored
RapidflareAnd someone needs to keep improving all of it once real users arrive
Rapidflare, ongoingRapidflare is designed so that work does not fall on your team.
Our customer success and engineering teams manage the process end to end, from knowledge ingestion and configuration through testing, launch, and ongoing optimization. And every Rapidflare customer works with a Forward Deployed Engineer from onboarding throughout the partnership.
Five steps from signature to production, and your team owns one line in each
Start with the knowledge you already have
You do not need to reorganize your product information before working with Rapidflare. Start with the sources your teams already use.
Point us to the relevant sources and tell us what matters.
Ingest, structure, configure, and prepare that knowledge for your AI experience.
We configure the experience around your business
You are not handed a generic agent and asked to configure it yourself. We work with you to understand who will use the agent, what they need to accomplish, which products and knowledge it should cover, how it should behave, what a good answer looks like, and where the experience needs to be deployed. Rapidflare then handles the underlying configuration, from product coverage and instructions to starter prompts and deployment requirements.
Give us business and product context.
Turn it into the working experience.
We test before your users depend on it
Before broader rollout, the agent goes through evaluation and testing. We look at real questions, answer quality, positive and negative feedback, knowledge gaps, product-data issues, and edge cases. When something does not work, our job is not simply to record a bad answer. We investigate why it happened and work on the underlying issue.
Bring in domain expertise when a product or business judgment is required.
Run evaluation, investigate issues, make improvements, and prepare the experience for launch.
We help take it live
Once the experience is ready, Rapidflare works with your team on deployment: the website experience, internal environment, integration, workflow, or other surface your use case needs. Your Forward Deployed Engineer stays close to the technical requirements, so your team does not need to become experts in deploying or configuring Rapidflare.
Review and approve.
Help get it into production.
Launch is not where our work stops
Real users will ask questions no test suite predicted. That is useful. Once your agent is live, Rapidflare continues to monitor how it performs and works with your team to improve it. Your deployment keeps learning from what happens in production.
Tell us what looks right, what does not, and what matters most.
Monitor, investigate, and keep the agent improving.
What we need from your team: less than you might expect
Every Rapidflare customer gets a Forward Deployed Engineer
Your Forward Deployed Engineer works alongside your team from onboarding throughout the partnership. They become familiar with your deployment, knowledge sources, technical environment, and requirements, and help turn what your business needs into a working Rapidflare experience.
So when something needs to be configured, investigated, integrated, expanded, or improved, your team is not left figuring it out alone.
Meet your Forward Deployed EngineerForward Deployed Engineering is included as part of every Rapidflare engagement.
The questions you will get internally, and what to tell them
You are not buying software and being handed an implementation guide. You are getting a team that helps put it into production. Here is how to explain that to the people who will ask.
“Is this another system we have to operate and secure?”
No. Rapidflare owns the Rapidflare-side configuration, evaluation, and optimization; your team is not becoming an AI operations team. You will need to grant access to the relevant systems and weigh in on integrations, nothing more.
“How much of my time does this take?”
Only the parts only you can answer. We bring your experts in for product and business judgment calls, not to run the system day to day, so they stay focused on product.
“What happens after launch: does this stall out?”
It does not. Production usage gives us new information to evaluate and opportunities to improve, and your Forward Deployed Engineer stays engaged. Launch is a milestone, not the finish line.
Your product knowledge does not need to live in one perfectly organized repository first
We meet your product knowledge where it is and work with your team from there.
We stay involved
Products change. Documentation changes. Customers ask new questions. Teams discover new use cases. New integrations become important. And occasionally, something does not work the way it should.
Your relationship with Rapidflare does not turn into a support queue at that point. Our customer success team and your Forward Deployed Engineer continue working with you to understand what is happening, investigate issues, and evolve the experience.
Launch is a milestone, not a handoff.
Anticipate these before the kickoff call
Do we need to clean up all our documentation before we start?
No. Start with the product information you already have. Part of the process is understanding your existing knowledge sources and identifying the gaps, ambiguities, or inconsistencies that matter to the AI experience.
Will our product or engineering team need to build the agent?
No. Rapidflare handles the core ingestion, configuration, evaluation, and ongoing optimization work. Your experts provide product and business context where their judgment is valuable.
Do we need to dedicate an engineer to Rapidflare?
You may need technical involvement for access to systems your team controls or for certain integrations. But you do not need an internal engineer whose job is to learn how to operate Rapidflare. A Forward Deployed Engineer is included with every Rapidflare engagement and works with your team throughout the partnership.
How involved does our team need to be?
We deliberately focus your involvement on the areas where only your organization can provide the answer: your priorities, your product expertise, your systems, your approval. Rapidflare handles the operational work around those decisions.
How do we know when the experience is ready?
We evaluate the experience before broader rollout and work through issues identified during testing. Your team gets to review the experience and provide feedback before putting it in front of a wider audience.
What happens when our product information changes?
Knowledge management does not stop at launch. Rapidflare works with customers to keep their knowledge coverage and AI experience evolving as their products and information change.
What happens if the agent gives a bad answer?
We investigate it. Our team can review the underlying interaction, determine what caused the problem, and address issues in the knowledge, retrieval, configuration, or agent behavior.
Bring us your product knowledge and we will take it from there
From existing documentation to a production AI experience, without turning it into another major implementation project for your team.
Schedule your kickoff call