Service · AI automation
AI that removes the work nobody wants to do.
Custom AI agents, copilots, and automations that read, classify, decide, and act inside your workflows, with people approving what matters.
- AI medical project backed by a ₹100 Cr Government of India grant
- Excellence in AI Innovation, MY FM 2025
Your inputs
- Calls
- Emails
- Websites
- Documents
AI layer
- Extract
- Classify
- Decide
- Draft
Outcomes
- Tasks
- CRM updates
- Reports
- Published content
Human approval on sensitive actions · Full audit trailConcept
What we build
Six kinds of AI automation.
01
AI agents and copilots
Agents that research, draft, decide within guardrails, and hand off to people.
02
Workflow automation
Connect CRM, email, WhatsApp, sheets, and internal tools so work moves without copy-paste.
03
Voice and call intelligence
Transcription, summaries, intent, and next steps from every call.
04
Data extraction and crawling
Pull, clean, and structure data from websites, PDFs, and documents at scale.
05
NLP and classification
Classify, tag, score, and route text, from support tickets to clinical notes.
06
WhatsApp automation
Campaigns, bulk messaging, and trigger-based workflows on WhatsApp.
Built and running
AI we have shipped for clients.
PatentsKart · Patent services, USA
SalesOps Copilot
SWS built PatentsKart's internal CRM, NEEV, end to end, with lead enrichment, call intelligence, an autonomous task orchestrator, funnel autopilot, and a dynamic pitch composer.
- Lead enrichment engine
- Call intelligence layer
- Autonomous task orchestrator
- Funnel autopilot
- Dynamic pitch composer
Semper Centrum · Healthcare, India
ClinicalOps Agent
Patient journeys from registration to discharge in one workflow, plus an intelligent registry that standardises codes, detects missing data, and flags risk cohorts.
- Patient management system
- Intelligent registry system
Modoante · Education platform, Nordics
ContentOps Orchestrator
Crawls thousands of sources, extracts and normalises content, classifies it into a taxonomy, generates documents, and bulk-publishes into the CMS with an audit trail.
- Web crawling
- Extraction and normalisation
- Semantic classification
- Document generation
- CMS bulk publishing
Manodaya · Mental health, funded by the UP Government
AffectiveRisk Classifier
NLP models that estimate depression vulnerability and severity from notes and chats, with explanations, confidence, and trends for clinician review.
- Vulnerability detection
- Staging and severity
Ready-made products
Or start with what is already built.
How we work
From idea to working AI.
- 1
Find the hours
We map one workflow with you and find where people lose the most time.
- 2
Prototype
A working proof of concept on your real data, so you can judge results early.
- 3
Build with guardrails
Approvals, permissions, and logs are designed in, not added later.
- 4
Run and improve
We monitor accuracy and cost after launch, and keep tuning.
Questions
Common questions about AI.
Will AI replace my team?
No. AI Employees take the repetitive part of the work, like research, data entry, follow-ups, and reports, so your people spend time on customers and decisions. Sensitive actions always wait for a human.
Is our data safe?
Your data stays in your workspace and is used only for your workflows. Access is role-based, every action is logged, and we sign an NDA on request.
Can it work with the CRM we already use?
Yes. We can connect to your existing CRM, email, and WhatsApp, or set you up on SWS AI CRM if you need one.
How long does it take to go live?
It depends on the role and the tools to connect. After the demo we map one workflow with you and give a written go-live date before any work starts.
Free 30-minute demo
Tell us the workflow. We will show you the AI.
- A 30-minute call with our AI team, not a salesperson
- Ideas for your workflow, with what is realistic and what is not
- A proof-of-concept plan with clear scope and price