Example private knowledge search (RAG) flow. We adapt it to your data, security rules, and model choice.
Click any node for details.
Field Notes
Decision Log
Key Decisions
Chunking strategy, Semantic vs. fixed-size depends on document structure and query patterns.
Embedding model, OpenAI, Cohere, or open-source based on cost/latency/privacy tradeoffs.
Search quality (for technical teams), We pair keyword + vector search and rerank results; we track quality with light checks.
Integration Points
Data sources, SharePoint, Confluence, S3, databases via scheduled or event-driven sync.
LLM provider, Works with major AI providers or your private models; we keep you flexible.
Guardrails, Safety checks like content filtering and redaction before responses go out.
Observability, Monitoring and quality checks so you can see cost, speed, and accuracy.
Overview
We integrate AI into what you already have; chat, document handling, smart routing, and private knowledge search (RAG) on your data, with safety checks and production readiness built in.
Integration Patterns
Integration Gallery
Support Copilot
Add AI-powered chat to your existing customer portal or internal helpdesk. Answers from your knowledge base, escalates to humans when needed.
Inputs
Customer questions
Support tickets
Chat messages
Integrations
Zendesk
Intercom
Salesforce
Custom portals
Outputs
Instant answers
Ticket routing
Escalation triggers
Human-in-Loop
Review queue for low-confidence responses
Safety Pipeline
Guardrails & Safety Path
Input sanitization
Clean and validate user input before processing.
Default
PII redaction
Detect and mask sensitive data in inputs and outputs.
Default
Content policy filter
Block harmful, inappropriate, or off-topic requests.
Default
Retrieval validation
Verify source documents are relevant and authorized.
Default
Response constraints
Enforce tone, length, and factuality requirements.
Optional
Human review queue
Route low-confidence responses for manual approval.
Optional
Audit logging
Record all interactions for compliance and debugging.
Default
Results
What changes in 30 days
AI-enhanced workflows
Your existing apps gain AI capabilities; chatbots, smart routing, and document processing.
Seamless integration
AI features plug into your current CRM, ERP, HRIS, and internal tools.
Accuracy & control
Brand-safe responses with safety checks, review paths, and audit trails.
Fast time to value
Working prototypes in weeks, hardened for production without rebuilding your stack.
Deliverables
What we integrate
Customer support that actually helps; add chat and team assist inside your existing tools so customers get faster answers.
Documents handled automatically; pull key details from PDFs/emails, route them, and redact sensitive info without changing your workflow.
RAG pipelines (private knowledge search); answer using your docs and data (policies, SOPs, invoices) so responses stay accurate.
Smarter handoffs & follow-ups; auto-triage requests, send approvals to the right person, and escalate edge cases.
Automation across your existing systems; connect AI to CRM/ERP/HR tools to reduce manual work and keep records up to date.
Safety + visibility; add guardrails, quality checks, and monitoring so you can trust the output and see what’s working.
Questions
Common questions
How is this different from building a new AI product?
This is about enhancing what you have; we integrate AI into your existing systems. For greenfield AI-native SaaS products, see our AI-Native SaaS Development service.
How do you handle safety and brand voice?
Safety checks on retrieval, tone controls, light quality reviews, human-in-loop when needed, and structured redaction for sensitive data.
Can you deploy privately?
Yes - VPC/private endpoints or your cloud; data residency and compliance are first-class requirements.
How fast is a pilot?
Typically 2-4 weeks from kickoff to measurable pilot results.