FDE Technologies LLC plans and deploys practical AI systems for real business scenarios. Services cover AI strategy, knowledge bases, RAG, AI agents, workflow automation, customer service, sales enablement, content operations, AI visibility, data/API integration, team training, governance, and ongoing AI operations.
GEO.promo is one public-facing growth platform operated by FDE. Beyond GEO.promo, FDE AI deployers can help companies audit workflows, choose AI use cases, organize knowledge, design prompts, connect tools, create AI assistants, train teams, and operate AI systems after launch.

FDE AI deployers help companies choose the right AI use cases, connect tools and data, build operational workflows, train teams, and keep improving the system after launch.
A company may not need a single large AI transformation. It may need a customer service assistant, a sales qualification workflow, a knowledge base, an executive research flow, or an AI-ready website and lead system. FDE packages those needs into deployable projects.
Deploy assistants that answer approved questions, collect context, qualify requests, and route complex cases to people.
Help sales teams classify leads, prepare discovery questions, draft proposal outlines, and keep follow-up consistent.
Organize documents, policies, product information, SOPs, and proof assets into an AI-searchable knowledge layer.
Turn repeated internal work into assisted workflows for summaries, reports, SOP lookup, onboarding, and decision support.
Create a controlled production system for articles, landing pages, video scripts, ads, translation, and repurposing.
Make the company easier for answer engines and search systems to understand, cite, compare, and recommend.
The service scope covers strategy, implementation, data, workflow, customer-facing AI, internal AI, training, governance, and AI visibility.
Translate business goals into AI use cases, tool choices, deployment phases, budgets, owners, and success metrics.
Build AI-ready internal knowledge bases so teams can retrieve accurate answers from company documents and approved content.
Deploy AI assistants and automations for repeatable tasks across sales, operations, marketing, admin, and customer support.
Create customer-facing and sales-facing AI support for FAQs, inquiry routing, proposal support, and lead qualification.
Set up safe AI-assisted production for articles, landing pages, ads, social posts, video scripts, translation, and repurposing.
Make the company easier for ChatGPT, Google AI, Perplexity, Gemini, Copilot, and search engines to understand and cite.
Connect AI workflows with the tools a business already uses, while keeping permissions and data boundaries clear.
Train staff to use AI in their roles with practical templates, operating rules, and scenario-based exercises.
Keep AI deployments useful after launch with usage review, risk control, prompt improvement, and new scenario expansion.
FDE can help with strategy, workflow design, prompt systems, knowledge bases, agent roles, tool integration, website and CMS structure, lead operations, training, and ongoing optimization. The goal is not to sell a tool, but to make AI usable inside a real business process.
Use-case priority, owner map, timeline, budget logic, KPI, and risk notes.
Reusable prompts, role instructions, response format rules, and review standards.
Document structure, approved source library, retrieval rules, and answer quality checks.
Triggers, task handoffs, tool actions, approval gates, and exception handling.
Forms, CMS, CRM, spreadsheets, websites, notifications, and API handoff planning.
Workshops, operator playbooks, role-based exercises, and adoption support.
Permission boundaries, data handling rules, quality review, usage metrics, and improvement rhythm.
AI-ready pages, FAQ systems, proof assets, GEO content, and multilingual market pages.
FDE maps each scenario to the right AI tools, data sources, permissions, human review points, and measurable business outcome.
Use AI to classify inquiries, prepare discovery questions, draft proposal outlines, and support follow-up.
Turn product, policy, service, and after-sales documents into guided answers with escalation rules.
Build repeatable AI workflows for briefs, articles, landing pages, ads, video scripts, and localization.
Help teams search SOPs, generate task instructions, summarize updates, and reduce repeated manual work.
Prepare market scans, competitor briefs, meeting summaries, dashboards, and decision memos.
Create role scorecards, interview questions, onboarding materials, and internal training support.
Connect public pages, forms, content operations, SEO/GEO structure, and lead management.
Support translation, local landing pages, local proof assets, distributor content, and regional buyer questions.
A useful AI deployment usually needs more than prompts. It needs data sources, permissions, review points, tool connections, team habits, reporting, and maintenance.
Clarify the department, daily task, owner, trigger, decision point, and expected business result.
Define what AI may read, which source is authoritative, and where sensitive data must stop.
Create assistant roles, task prompts, answer formats, tone rules, and review criteria.
Connect forms, documents, CRM, CMS, spreadsheets, notifications, and human approval steps.
Train the team with real scenarios, operating rules, examples, and internal champions.
Review usage, quality, cost, risk, prompt drift, source updates, and expansion opportunities.
When needed, connect internal knowledge to GEO pages, AI-answer assets, structured data, and proof.
Maintain prompts, knowledge sources, workflows, permissions, reporting, and monthly improvement plans.
Projects can start small, then expand into a full AI operating layer for the company.
For companies that want a practical first AI deployment without overbuilding.
For sales, marketing, customer service, operations, HR, or management teams that need repeatable AI workflows.
For companies that need AI deployment to support public visibility, lead generation, content operations, and global expansion.
A useful AI deployment needs permissions, prompts, data boundaries, workflow design, human review, training, metrics, and maintenance after launch.
Audit workflows, data, team needs, and AI readiness.
Design use cases, prompts, permissions, and review points.
Configure tools, automations, agents, APIs, and knowledge bases.
Train operators, managers, and internal AI champions.
Measure usage, improve prompts, expand scenarios, and govern risk.
FDE can start from one clear workflow, then map tools, data, permissions, human review, training, and ongoing operation around it.
When an AI deployment touches public visibility, answer engines, SEO/GEO content, brand proof, and global landing pages, GEO.promo becomes the named platform inside FDE.