SharabhaTech — Powered by Isana Systems

Agentic AI and RAG based Consulting Framework that delivers Value.

SharabhaTech is a pure-play AI services brand. Our Agentic AI-Powered Consulting Framework identifies process gaps, quantifies business impact, and delivers intelligent automation — measured in cycle time, cost, and revenue.

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12+
Enterprise Engagements
22+
Years Engineering Heritage
8
Business Areas Mastered
10
Use-Cases Delivered

Trusted by organisations across industries

PubMatic
AutomationEdge
Uniken
Pavilion Data
YuktaMedia
Chartcube
Vyom Labs
HealYos
Optimize IT Systems
WePay
Backed by the engineering DNA of Isana Systems
Where We Deliver

Eight business areas where we've put AI into production

These are the focused functions where SharabhaTech has shipped real Agentic AI and RAG solutions on real client data — every area below maps directly to detailed case studies you can drill into.

Developer Productivity

Senior engineering time eaten by review & rework

Manual code reviews, legacy bug-fixing, and unstructured AI tooling consume the most expensive engineering hours and slow every release.

Production Reliability

Regression coverage that doesn't scale

Partial regression runs, manual test suites, and CI/CD pipelines without automated quality gates let defects leak into every release.

Revenue Management

Revenue leakage caught hours too late

Daily revenue reconciliation across time-cuts and dimensions is manual and reactive — drops surface only after they have cost real money.

Sales Operations

Sales decisions running on stale data

Daily sales across managers, agencies, and products reviewed manually — pricing, discount, and combo actions lag the market every cycle.

Data Operations

Insights trapped behind data-engineering tickets

Enterprise data scattered across databases, lakes, and object stores — every business question becomes another item in an engineering backlog.

Customer Support

Institutional knowledge buried in tickets & calls

Recurring incidents missed, root causes never categorised, resolution knowledge trapped in TSE calls — every escalation gets investigated from scratch.

Talent Acquisition

Hiring decisions on inconsistent, manual scoring

CV reviews, video assessments, and proctoring done manually — inconsistent rubrics, no audit trail, and a hard ceiling on candidate throughput.

Customer Experience

Churn risk caught only after escalation

Sentiment and emotion signals across thousands of interactions reviewed manually if at all — CX strategy runs on intuition, not measured signal.

See How We Close Each Gap →
What We Do

AI services built for production, not pilots

From autonomous agentic workflows to retrieval-augmented intelligence, we deliver end-to-end AI solutions that integrate with your existing systems and produce measurable business impact from day one.

Agentic AI & Automation

Autonomous AI agents that read, decide, and act across your business systems — driving real workflows end-to-end.

  • Multi-step agent workflows
  • Tool-using AI with MCP servers
  • Browser automation where APIs don't exist

RAG & Knowledge Systems

Retrieval-augmented applications that turn documents, tickets, and call transcripts into searchable enterprise intelligence.

  • Knowledge base auto-builders
  • Document intelligence pipelines
  • Sentiment & pattern analysis

AI Consulting Framework

A structured, repeatable engagement model — from AI readiness assessment to phased build & deploy with measurable outcomes.

  • Opportunity scoring & ROI mapping
  • Build vs buy vs fine-tune guidance
  • Phased rollout with quick wins
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Featured Work

Real outcomes for real clients

Selected case studies from our delivery track record across Developer Productivity, AdTech Revenue Operations, and FMCG Sales Operations.

Developer Productivity

AI Code Review Agent

Challenge

Senior engineers spent ~50% of their time on code reviews, yet PRs still waited hours to days for first review — and architectural issues slipped through.

Solution

AI agent posts first review on every PR/MR within minutes, catches functional bugs and performance bottlenecks, and an AI-as-judge layer filters out nit-picks.

First review in ~4 min · 60% senior-engineer time saved · 65% faster PR merge cycle
Tech: Claude API · Claude Code · Python · Git/GitHub/GitLab APIs · CI/CD
AdTech Revenue Operations

Revenue Insight & Correction Agent

Challenge

Daily ad revenue had to be reconciled manually across DoD/WoW/MoM/QoQ time-cuts and multiple dimensions; revenue leakage went uncaught for hours.

Solution

RAG-backed analysis engine alerts on revenue drops and gains within hours, auto-triggers corrective campaign actions, and exposes a chatbot for business users.

Zero manual revenue-loss analysis · Reports within 1–2 hrs of day boundary · Corrections queued pre-office-hours
Tech: Claude API · PostgreSQL pgvector · RAG · Python · Chatbot delivery
FMCG Sales Operations

Sales Insight & Correction Agent

Challenge

Daily sales across sales managers, agencies, products, and categories were reviewed manually — sales drops took days to surface, pricing decisions ran on stale data.

Solution

RAG-backed analysis engine alerts on sales drops and gains daily, triggers product/discount/combo actions, and exposes a chatbot for ad-hoc business questions.

Zero manual sales-loss analysis · Reports within 1–2 hrs of day boundary · Corrections queued pre-office-hours
Tech: Claude API · PostgreSQL pgvector · RAG · Python · Chatbot delivery
View All Case Studies →

Have an AI initiative on your roadmap?

Whether you're scoping your first agentic workflow, exploring RAG for an internal knowledge base, or trying to figure out where AI fits — we'll give you an honest, outcome-first answer.

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