Knowledge & RAG Systems
Company knowledge assistants, internal search, document Q&A, support copilots, policy retrieval, and searchable operating manuals.
Solutions
AdMagica designs and builds practical AI workflows, internal tools, data systems, and automations for modern companies.
Automation map
Live workflow
One process becomes a connected operating layer.
Data
CRM, docs, cameras, inventory
Reasoning
RAG, agents, rules, scoring
Actions
Campaigns, alerts, tasks, approvals
Signals
Dashboards, reports, optimization
What we build
Company knowledge assistants, internal search, document Q&A, support copilots, policy retrieval, and searchable operating manuals.
Campaign orchestration, audience generation, AI SMS, push and email flows, creative variants, lead scoring, and reporting loops.
AI Facebook ads managers for retailers, shelf heatmaps, customer attention analytics, stock visibility, and merchandising insights.
Anti-theft alerts, suspicious behavior detection, queue monitoring, shelf interaction tracking, and real-time operational signals.
CRM workflows, dashboards, invoice and document processing, approval flows, task routing, and routine admin automation.
Sales copilots, HR and onboarding assistants, finance and operations copilots, custom admin panels, and team-specific workspaces.
How we build
We start with one valuable process, connect the right data, ship a working prototype, and keep improving it from actual usage.
Map the manual work
We identify repeated decisions, delays, data handoffs, and places where teams are copying information between tools.
Connect the operating data
Documents, CRM records, cameras, ads, inventory, support conversations, analytics, and internal systems become usable context.
Ship a working prototype
We build the first workflow around one high-value process so stakeholders can test the system before a wide rollout.
Deploy with monitoring
The system runs with clear ownership, logs, human review points, error paths, and measurable operating signals.
Improve from real usage
Prompts, rules, retrieval, actions, and dashboards are tuned from actual team behavior instead of assumptions.
Best fit
Retail chains
E-commerce teams
Marketing departments
Operations-heavy companies
Customer support teams
Companies with scattered internal knowledge