AI software is only useful when it works for your business
That is why every Rapidflare customer gets a Forward Deployed Engineer.
Your products, data, workflows, systems, and users are different. Instead of asking your team to figure out how to adapt Rapidflare to them, we assign a Forward Deployed Engineer who works alongside your team from onboarding throughout the entire partnership. They help turn your requirements into working AI experiences, from the first deployment to everything you want to build next.
- Included with every Rapidflare engagement
- No separate professional services contract required
An engineer who already knows your deployment, included with every engagement.
Most implementations end at the same point; Rapidflare doesn't
Your Forward Deployed Engineer builds context around your deployment, product knowledge, technical environment, requirements, and how your users are using Rapidflare day to day. So when something needs to change, improve, integrate, or expand, you have an engineer on the Rapidflare side who already understands the context.
One job: make Rapidflare work the way your business runs
That can mean helping across the entire lifecycle of your deployment.
Knowledge and data
Connect and structure the product information your agents need across documentation, catalogs, websites, knowledge bases, and internal systems.
Agent configuration
Configure Rapidflare around your products, users, workflows, terminology, and business requirements.
Technical implementation
Turn product and business requirements into the appropriate Rapidflare configuration and technical implementation.
Integrations
Work through the technical requirements needed to connect Rapidflare with your existing systems and deployment environment.
Evaluation and debugging
Investigate incorrect or incomplete answers, trace problems to their source, and work with the broader Rapidflare team to resolve them.
New requirements
When your business needs something the original deployment did not anticipate, help translate that requirement into the right configuration, workflow, integration, or product capability.
Continuous optimization
Use production feedback and usage patterns to identify opportunities to make the experience more useful over time.
Your team brings the domain expertise and we handle the AI engineering
Your people know your products, customers, systems, and business better than anyone. We do not want them spending their time becoming experts in AI infrastructure or learning how to operate another platform. Your team helps us answer questions like:
“What should the system accomplish?”
“Which information should it rely on?”
“What does a correct answer look like?”
“How should this fit into our existing workflow?”
“What do our users need next?”
Five answers from your team. A working system from your FDE.
One engineer who already knows your environment
A new requirement six months after launch should not mean starting from zero with someone reading your support ticket for the first time. Your Forward Deployed Engineer already understands the context behind your Rapidflare deployment.
Learns your products, sources, and systems
Knows what was built, and why it was built that way
Sees how real users use it, and what they ask next
Picks up your new requirement without a cold start
You do not lose that context once onboarding is over.
It is the beginning of the working relationship
Once real users begin interacting with Rapidflare, new opportunities emerge.
Your Forward Deployed Engineer remains part of that process, helping your Rapidflare deployment evolve alongside your business.
Someone already responsible for understanding both sides of the problem
Your team should not have to decide whether every new AI requirement warrants another internal engineering project.
Your FDE helps maintain that loop throughout the partnership: feedback flows straight back into the next requirement.
Six things that change once an engineer is already on your requirements
Less internal engineering work
You do not need to build a team responsible for configuring and operating your Rapidflare deployment.
Faster path from requirement to implementation
When your team identifies a need, there is already someone technically responsible for helping turn it into a working solution.
Less vendor handoff
The technical relationship does not disappear once the initial implementation is complete.
More continuity
Your engineer builds knowledge about your deployment over time instead of forcing your team to repeatedly explain the same context.
Continuous improvement
Production feedback can become product improvements rather than simply accumulating in a dashboard or support queue.
More value from the platform
As your requirements evolve, your Rapidflare deployment can evolve with them.
Forward Deployed Engineering is not scoped around a project
Not an add-on.
Not a limited onboarding package.
Not a block of professional-services hours you need to purchase every time something changes.
Every Rapidflare customer gets a Forward Deployed Engineer throughout the partnership, included as part of the engagement.
Because enterprise AI should not require your company to become an AI engineering company just to make it work.
Frequently asked questions
Is Forward Deployed Engineering an additional paid service?
No. A Forward Deployed Engineer is included as part of every Rapidflare customer engagement. There is no separate professional services package required to work with your FDE.
How long does our Forward Deployed Engineer stay involved?
Throughout your partnership with Rapidflare, not just during onboarding or the initial implementation. Your FDE continues working with your team as your deployment and requirements evolve.
Does this replace our own engineering team?
No. Your team may still need to provide access, technical context, or involvement for systems you control. But you do not need to dedicate internal engineers to becoming Rapidflare experts or operating the AI system itself. Your FDE owns the Rapidflare side of that technical relationship.
What happens if we have a new requirement after launch?
Bring it to us. Your Forward Deployed Engineer can work with your team to understand the requirement and determine how best to address it through configuration, data, integrations, workflows, or Rapidflare's product capabilities.
Is this just technical support?
No. Technical support is primarily reactive: something goes wrong, and someone helps resolve it. Forward Deployed Engineering is broader. Your FDE works proactively with your team to deploy, improve, adapt, and expand how Rapidflare is used across your organization.
What kinds of people will our FDE work with?
That depends on the deployment. They may work with your product experts, engineering or IT teams, customer support leaders, sales teams, product managers, or other stakeholders involved in the use case, bridging your business and product requirements with the technical Rapidflare implementation.
Put an engineer on them
Every Rapidflare engagement includes a Forward Deployed Engineer who works alongside your team from onboarding through everything that comes next. Not just to get Rapidflare live: to keep making it work for your business.
Talk to us about your requirements