AI SERVICES

// Enterprise AI implementation powered by Team-c x Startoken partnership. Grounded answers, safe automation, and production-ready governance.

AI Implementation Capabilities

We deliver production-ready AI solutions that go beyond simple chatbots. Our implementations feature grounded answers with citations, safe tool automation with approvals, and comprehensive governance.

AI Support Agents

Customer-facing and internal helpdesk agents with human handoff capabilities

RAG Knowledge Assistants

Grounded answers from your documents with citations and source verification

Workflow Automation

Booking, ticketing, CRM actions with approval workflows and safety controls

Vision AI

Understand images: invoices, forms, screenshots with intelligent extraction

Analytics Copilot

Ask data questions in natural language, get charts and actionable insights

Implementation Pattern: RAG Knowledge Assistant

rag_pipeline.exe

Document Ingestion & Processing

  • Ingest PDF, DOCX, web pages, images (OCR)
  • Chunking with metadata: owners, versions, dates
  • Product and region tagging for filtering
  • Embeddings + vector index optimization
answer_engine.exe

Answer Grounding & Quality

  • Citations and "show source" support
  • Freshness control: highlight outdated sources
  • Re-index automatically on content change
  • Quality loop: test set + regression checks

Reference Architecture: Customer Support Agent

Channels
Web / App / Email
|
v
Agent Orchestrator
Routing + Policies
|
v
RAG Layer
KB + Embeddings + Vector DB
Tools / APIs
CRM / Helpdesk / ERP
|
v
Human Handoff
Live Takeover
Observability
Logs + Analytics

Deploy on-prem or cloud // Keep retrieval and governance local // Optional cloud LLM burst for peak loads

Implementation Pattern: AI Agent + Tool Automation

intent_router.exe

Intent Routing & Tool Calling

  • FAQ vs account-specific vs action request
  • Connect to CRM / helpdesk / booking / ERP
  • Approved endpoints only (allowlist)
  • Idempotency and rate limits
safety_controls.exe

Safety & Escalation

  • Confirmations and approval workflows
  • OTP email/SMS for sensitive actions
  • Human handoff with full context
  • Tool success rate monitoring

Implementation Pattern: Governance & Safety

  • Role-based access (admin / agent / viewer) and tenant isolation
  • PII handling: masking/redaction, safe prompts, secrets management
  • Prompt-injection defense: system boundaries + tool allowlists
  • Audit trail: sources used, tool calls, decisions, escalation events
  • Model strategy: local models + optional cloud fallback (per tenant policy)
  • Testing: policy regression suite + red-team scenarios before release

Use Cases & Outcomes

Customer Support

  • Deflect repetitive FAQs automatically
  • Grounded answers with citations
  • Escalate edge cases to humans

Internal Helpdesk

  • Policy & SOP Q&A assistant
  • Onboarding assistant for new hires
  • Reduce internal support tickets

Ops & Sales Workflows

  • Booking / ticket creation automation
  • Lead capture + verification
  • Automate follow-ups and reminders
Deflection Rate
Response Time
Escalation Rate
Tool Success Rate
Customer Satisfaction

How We Deliver

Typical delivery windows depend on scope. We can start with a single support agent and expand to multi-agent workflows.

01

Discovery

Define use cases, identify data sources, and establish success metrics for your AI implementation.

02

Design

Architect the solution with appropriate guardrails, tool scopes, and integration points.

03

Build

Implement RAG pipelines, agent logic, and system integrations with your existing infrastructure.

04

Launch

Deploy to production, conduct user training, and complete knowledge transfer to your team.

05

Optimize

Continuous monitoring, performance tuning, and monthly improvement cycles.

What Makes This Different

Typical Chatbot / Wrapper

  • Answers without strong grounding
  • Limited action & verification
  • Weak escalation flows
  • Hard to govern and audit

Our Implementation Approach

  • Grounded answers + citations
  • Safe actions with approvals
  • Human handoff with context
  • Logs, governance, and testing

Ready to Implement Enterprise AI?

// Start with a single support agent pilot and expand to multi-agent workflows. Let's discuss your use case.

$ contact --start-ai-project