Pre-built, battle-tested solution frameworks combining AI, automation, and cloud — designed to solve specific enterprise problems with measurable ROI, deployable in weeks.
Automate end-to-end business workflows with intelligent AI agents
Our AI Business Automation solution replaces manual, repetitive workflows with intelligent AI agents that operate 24/7 — processing data, making decisions, and triggering actions across your entire technology stack.
In practice: A regional bank automated loan document verification — what took 3 staff members 2 days now completes in under 4 hours with zero errors.
AI-powered recruitment that finds the right candidates 10x faster
Transform your hiring process with AI that screens resumes, scores candidates, schedules interviews, and provides data-driven hiring recommendations — all integrated with your existing HRMS.
In practice: A BPO company reduced screening time from 6 days to 8 hours for 500+ applicants — one recruiter now handles what previously required a team of five.
AI-driven network operations that self-configure, self-heal, and self-optimize
Our AI Network Automation platform transforms how enterprises and telecoms manage network infrastructure — autonomous configuration, anomaly detection, and incident resolution without human intervention.
In practice: A telecom operator with 12,000 network devices eliminated 94% of manual change-requests — the platform auto-provisions new branch sites in under 8 minutes.
Connect and automate enterprise systems with intelligent workflows
Build enterprise-grade workflow automation that connects your ERP, CRM, ITSM, and custom systems — eliminating data silos and manual handoffs while maintaining governance and auditability.
In practice: A manufacturing company automated purchase order approval across SAP → email → finance — eliminating a 5-day cycle down to same-day, with full audit trail.
Slash cloud costs by 40-60% while improving performance and reliability
Our Cloud Optimization solution continuously analyzes your AWS and Azure environments, identifying waste, right-sizing opportunities, and architectural improvements — delivering measurable cost savings and performance gains.
In practice: A SaaS company running on AWS reduced monthly spend from $48,000 to $19,000 within 90 days — without changing a single line of application code.
Every solution ships with a baseline assessment and a 90-day ROI review. Here's what enterprise clients typically see.
Before
• Manual data entry: 40 hrs/week
• Error rate: 8–12%
• Processing cost: ₹180/transaction
After
• Automated processing: 2 hrs/week
• Error rate: <0.5%
• Processing cost: ₹22/transaction
Before
• Screening 100 CVs: 3 days
• Interview scheduling: 2 days manual effort
• Recruiter capacity: 8 hires/month
After
• Screening 100 CVs: 2 hours
• Interview scheduling: fully automated
• Recruiter capacity: 35 hires/month
Before
• MTTR for P1 incidents: 45 min
• Manual config changes: 120/month
• Annual downtime cost: ₹2.4 Cr
After
• MTTR for P1 incidents: <3 min
• Automated config changes: 98%
• Annual downtime cost: <₹18 L
Before
• PO approval cycle: 5 business days
• Data entry errors: 15% of transactions
• Cross-dept handoff time: 2–3 days
After
• PO approval cycle: same day
• Data entry errors: <1% (automated)
• Cross-dept handoff time: minutes
Before
• Monthly cloud spend: $48,000
• Unused reserved instances: 38%
• Spend visibility: monthly invoice only
After
• Monthly cloud spend: $19,000
• Reserved Instance utilisation: 94%
• Spend visibility: real-time dashboard
We follow a structured onboarding methodology — every client gets a dedicated solution architect and a fixed-milestone delivery plan.
Audit existing workflows, identify automation candidates, map integrations.
Build AI agents, connect to your systems (ERP, email, database).
Process real transactions in parallel with current workflow for validation.
Full cutover, staff training, monitoring dashboards activated.
Client example: A regional bank automated loan document verification — what took 3 staff members 2 days now completes in under 4 hours with zero errors.
Connect to SAP, Workday, or Zoho Recruit; configure job-role scoring models.
Train candidate scoring on your past hiring data; set shortlisting thresholds.
Integrate calendar APIs; configure automated outreach templates.
Live recruiter dashboard, analytics, and continuous model improvement loop.
Client example: A BPO company reduced screening time from 6 days to 8 hours for 500+ applicants — one recruiter now handles what previously required a team of five.
Automated topology scan; device inventory and baseline config capture.
Define automation playbooks, anomaly thresholds, and self-healing scripts.
Platform monitors and suggests actions while human engineers validate outputs.
Full autonomous mode with human oversight dashboard and escalation paths.
Client example: A telecom operator with 12,000 network devices eliminated 94% of manual change-requests — the platform auto-provisions new branch sites in under 8 minutes.
Map current workflows, identify bottlenecks, document integration touchpoints.
ERP, CRM, and ITSM integrations; approval logic and exception rules.
Run automated workflow alongside existing process; validate outputs.
Phased departmental rollout; manager dashboards and compliance reports.
Client example: A manufacturing company automated purchase order approval across SAP → email → finance — eliminating a 5-day cycle down to same-day, with full audit trail.
Connect Cost Explorer / Azure Cost Management; baseline all spend by service and team.
Compute, storage, and database right-sizing report with projected savings.
Reserved Instance and Savings Plan recommendations executed with approval gate.
Anomaly alerts, weekly FinOps reports, and ongoing governance.
Client example: A SaaS company running on AWS reduced monthly spend from $48,000 to $19,000 within 90 days — without changing a single line of application code.
Our architects design bespoke solutions combining AI, security, and cloud for requirements that don't fit a standard playbook. Free 60-minute scoping call.
