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AI Workflow Automation thatremoves repetitive work

Automate inbox- and document-driven operations—classification, extraction, routing, actions, and SLA dashboards—integrated into your tools.

Problems we solve

Slow routing/ownership confusion
Repetitive follow-ups and updates
SLA breaches with no visibility
Email overload + manual triage
Manual document checks

What you get

  • Workflow map + automation backlog
  • Classifiers (intent/category/priority)
  • Extraction pipelines (when needed)
  • Routing + assignment logic
  • Actions: ticket creation, updates, notifications
  • SLA dashboard + alerts
  • Monitoring + runbooks + handover

Latency & Reliability

Streaming vs Batch

Real-time streaming for live assist, batch for post-call analytics

Fallback behavior

Graceful degradation when services are slow or unavailable

Noisy audio handling

Robust processing for real-world call quality

Human review escalation

Low-confidence cases routed for human review

How it works

1

Inbound

Email/doc arrives

2

AI Classify/Extract

Intent + data

3

Route

To right team

4

Action

Ticket/update

5

SLA Tracking

Monitor status

Example workflows

1
Email + attachment → classify → extract fields → create ticket → assign owner
2
Exception mail → detect → escalate → notify → SLA alert
3
Vendor mail → tag → route procurement → auto reply template draft

Integrations & systems

Inbox (Gmail/Outlook)
CRM/ERP
Drive/S3
Ticketing (Freshdesk/Jira/ServiceNow)
Databases
APIs/Webhooks

ISO-backed delivery

Certified processes & security

Security-first

Enterprise-grade controls

Full documentation

Runbooks + handover

Frequently asked questions

Can you handle attachments/PDFs?

Yes. We process PDF, image, and document attachments with OCR and extraction pipelines as needed.

Can you integrate with our tools?

Yes—we integrate with common inbox, ticketing, CRM, ERP, and storage systems via APIs and connectors.

What's a typical timeline?

Discovery takes 1-2 weeks, MVP workflow in 2-4 weeks, production hardening in 1-3 weeks.

How do you prevent wrong routing?

We use confidence scoring and validation rules. Low-confidence items go to a human review queue.

Do you support audit trails?

Absolutely. Every automated action is logged with timestamps, inputs, outputs, and user attribution.

Ready to get started?

Let's discuss your use-case and map the fastest path to production.

When to use what

Use Prompting

When rules are simple and risk is low

Best when:
  • Simple classification
  • Low stakes
  • Fast iteration needed
  • No training data

Use RAG

When answers depend on changing knowledge

Best when:
  • Dynamic knowledge base
  • Need citations
  • Frequent content updates
  • Multiple sources

Use Fine-tuning

When you need consistent formats + high precision + domain behavior

Best when:
  • Consistent output format
  • Domain-specific language
  • High precision required
  • Cost optimization

Our AI service lines

AI Workflow Automation

Automate intake → classify → route → act → track SLAs

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ADP & Document Extraction

Extract fields from PDFs/scans/emails with validations and exception queues

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AI Agents & Copilots

Knowledge copilots and agents that retrieve answers and take controlled actions

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Custom Models & Fine-tuning

Higher accuracy and consistent outputs for domain-specific workflows

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Voice AI Systems

Speech analytics and voice workflows for call-heavy teams

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AI Integrations & Deployment

Production engineering: APIs, deployment, monitoring, security controls

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