FDE · FORWARD DEPLOYED ENGINEER
How an AI-native company transforms
KnowSaaS is an AI-native company: product, engineering, marketing, sales, support, operations, finance and HR all run with AI embedded in their processes. Now our Forward Deployed Engineers bring this proven approach to your business, working alongside your team to make AI transformation happen.
What is an FDE
Forward Deployed Engineer. Rather than advising from behind a screen, an FDE works on your business front line, putting AI to work side by side with your team.
On-site
We go to the business front line — shadowing, interviewing, reading data — to find the workflows genuinely worth rebuilding with AI.
Full-stack
We understand the business and write the code, handling everything from process design and agent development to system integration.
Co-creation
We define problems and validate outcomes with your team, so capability stays in your organization rather than with an outside vendor.
Accountable for outcomes
Acceptance is based on measurable changes in efficiency, cost and experience — not on delivering a report.
An FDE delivers not a report, but an AI workflow already running in production.
Talk about your business →Our own company is the first AI transformation case study
AI isn't a concept on our homepage — it's how KnowSaaS works every day.
AI isn't a tool.
It's a colleague.
KnowSaaS has run as an AI-native company from day one: AI participates in internal processes across product, R&D, marketing, sales, support, operations, finance and HR.
This method wasn't copied from a consulting report; it was proven day by day in our own products, sales, delivery and management. Now we've turned it into a repeatable playbook and bring it to your business.
- People judge and decideDefine problems, set standards, validate outcomes
- AI executes and scalesRetrieval, generation, routing and review, around the clock
- Product & R&DAI
AI takes a deep role in requirements analysis, prototyping, coding, testing and documentation; people judge and sign off.
- Marketing & contentAI
Topics, scripts, copy, images, videos and ad creative are generated at scale and iterated on performance feedback.
- Sales & proposalsAI
Lead discovery, customer profiles, proposals and quotes are generated automatically, leaving sales time for judgment and relationships.
- Support & deliveryAI
Round-the-clock responses, ticket routing, knowledge retrieval and retrospective summaries are handled by AI first.
- Operations & dataAI
Daily business reports, anomaly alerts, reconciliation and approvals are generated automatically; only exceptions go to people.
- Finance & settlementAI
Order, revenue split, invoice and payment data are collected automatically, cutting repetitive checks.
- HR & administrationAI
Recruiting screening, training Q&A, onboarding and administrative processes run self-service.
- Management & decisionsAI
Ask business data questions in natural language; AI proposes analysis and recommendations, and people make the final call.
This is not a concept demo — it's how KnowSaaS operates every day.
What we deliver
A lasting AI capability, not a one-off tool purchase.
OPPORTUNITY MAP
Scenario layer: AI workflow map
Start by breaking the business down: which steps are repetitive, time-consuming or experience-dependent, and which suit AI best.
- End-to-end scenario audit
- Priority and ROI assessment
- First-step recommendations
AI WORKFLOW
System layer: agents & knowledge base
Connect enterprise knowledge, business systems and model capabilities so AI can look up, write and act.
- Enterprise knowledge base setup
- Agent tool calling and orchestration
- Integration with existing systems and data
OPERATING MODEL
Organization layer: teams & methods
Launching tools is only the start. Key roles must be able and willing to use them, with a mechanism for continuous iteration.
- AI training for key roles
- Prompt and SOP playbooks
- Internal AI operations model
The four-step FDE method
Start with one high-value scenario, launch in small steps, validate fast and scale steadily.
- 1
Business diagnosis
Shadowing, interviews and data audits surface the high-frequency, repetitive, experience-dependent steps.
- Shadowing
- Interviews
- Data audit
- 2
Co-design
Pick one or two high-value scenarios and design the process, agents, data and acceptance metrics.
- Scenario selection
- Process design
- Metric definition
- 3
On-site delivery
Integrate systems and data, build and launch, pilot with a small group and iterate quickly on feedback.
- Agent development
- System integration
- Incremental launch
- 4
Scale-up support
Train key roles, review results and replicate proven scenarios across more departments.
- Training
- Review
- Replication
Who this is for
You don't need a complete AI strategy — starting with the most painful step is enough.
You know AI matters but don't know where to start
Clear goals on cost and efficiency, but missing scenario judgment, a technical path and a concrete first step.
You've bought the tools, but AI is still a chat box
Systems and data exist, but AI only writes copy and looks things up — it never enters acquisition, fulfilment or service workflows.
You want AI to become a new growth engine
Beyond incremental efficiency, you want to restructure business processes and build reusable long-term AI capability.
Three ways to work together
Start with a single assessment, or keep an FDE embedded from your first scenario all the way to organization-wide AI capability.
- DIAGNOSIS
AI transformation assessment
See clearly before acting.
A deep assessment maps the real AI opportunities in your business, with priorities and a first-step plan.
- Business and process interviews
- Data and system audit
- AI opportunity list and priorities
- First-step recommendations
- Most popularEMBEDDED
Embedded FDE co-build
From plan to launch, we build it together.
An FDE joins your front line and, around one or two core scenarios, takes process redesign through to system launch.
- High-value scenario co-design
- Agent and workflow development
- System and data integration
- Metric sign-off and review
- ONGOING
Ongoing AI support
Turn AI into a long-term capability.
For teams already underway: monthly goals, continuous iteration and expansion of AI into more departments.
- Monthly goals and reviews
- Ongoing incubation of new scenarios
- Team training and enablement
- Internal AI operations model
