Enterprise Knowledge Assistant

SuGemini RAG over any enterprise document corpus. Works in Tamil, Telugu, Hindi, and English. Deployed in 3 weeks on any PowerVS customer.

01 PROBLEM STATEMENT

Enterprise Knowledge is Locked in Documents That Employees Cannot Find, Search, or Query

A cross-domain enterprise team held thousands of policy documents, SOPs, contracts, and HR guides across SharePoint, Confluence, and shared drives. Employees raised helpdesk tickets for answers already written in documents. New joiners spent days finding onboarding information. Policy queries took 2 days to resolve through email chains. Non-English-speaking employees in Tamil, Telugu, and Hindi-speaking locations faced an additional barrier. Knowledge equity was absent senior staff had informal access to answers that junior or remote staff did not.

02 CURRENT CHALLENGES

What the Enterprise Team was Struggling With

Policy Queries Take 2 Days to Resolve

Helpdesk bottleneck

Employees email HR or compliance for answers in documents. Helpdesk queue grows. 2-day resolution time standard.

Knowledge Locked in Document Silos

SharePoint, Confluence, Drive

Documents spread across SharePoint, Confluence, Google Drive, and file shares. No unified search or query layer.

Language Barrier for Regional Employees

Tamil, Telugu, Hindi excluded

Non-English employees in GCC locations cannot effectively query English-only document corpora. Knowledge gap by location.

New Joiner Onboarding Takes Too Long

No guided knowledge access

New employees spend days searching for policies, SOPs, and guides. No assistant to answer onboarding questions directly.

03 SOLUTION OVERVIEW

STAR’s Approach — AINE Enterprise Knowledge Assistant

STAR Systems deployed AINE Enterprise Knowledge Assistant using Gemini RAG over the client document corpus. Document ingestion from SharePoint, Confluence, Google Drive, or file share. SSO via Azure AD, Okta, or LDAP for access control. Teams, Slack, or web chat widget for end-user interface. Document update webhook for incremental index refresh. Content team refreshes corpus monthly. STAR manages RAG index. Response quality spot-checked fortnightly by client knowledge manager. Full telemetry dashboard provided. Deployed in 3 weeks on any PowerVS customer.

AI PATTERN

Gemini RAG + Multi-Source Document Ingestion + SSO Access Control + Multi-Language Query

04 WORKFLOW PROCESS

Step-by-Step: How an Employee Question Becomes an Accurate, Cited Answer in Seconds

Step 1 (Document Ingestion): SharePoint, Confluence, Google Drive, or file share ingested. Incremental refresh via document update webhook.

Step 2 (RAG Index Build): Gemini RAG index built over full document corpus on PowerVS. STAR manages index. Corpus refreshed monthly.

Step 3 (SSO Access Control): Azure AD, Okta, or LDAP enforces user access. Employee only queries documents they are permitted to access.

Step 4 (Multi-Language Query): Employee asks in Tamil, Telugu, Hindi, or English. Query understood. Answer returned in same language.

Step 5 (Cited Answer Delivery): Answer delivered with document citation via Teams, Slack, or web widget. No hallucination without source.

Step 6 (Quality and Telemetry): Response quality spot-checked fortnightly. Full telemetry dashboard provided. STAR updates index as needed.

05 KEY FEATURES

What the Platform Does

Gemini RAG on PowerVS:

Retrieval-augmented generation over full enterprise corpus. Answers grounded in source documents. No hallucination without citation.

Multi-Source Document Ingestion:

SharePoint, Confluence, Google Drive, or file share. Incremental index refresh via document update webhook. Corpus always current.

SSO Access Control:

Azure AD, Okta, or LDAP integration. Employees query only documents within their access permissions. Zero data leakage risk.

4-Language Query Support:

Tamil, Telugu, Hindi, and English query and response. Regional employees access the same knowledge quality as head-office staff.

Teams, Slack, and Web Widget:

End-user interface via Teams, Slack, or embedded web chat widget. No new tool adoption required. Meets employees where they work.

Telemetry and Quality Dashboard:

Full telemetry dashboard provided. Response quality spot-checked fortnightly by client knowledge manager. STAR manages RAG index.

06 BUSINESS OUTCOMES

What Changes After Go-Live

2 min

Policy Query Resolution down from 2 days of email chains

30-50%

Helpdesk Query Volume Reduced tickets resolved by assistant directly

3 Weeks

Deployment Timeline live on any PowerVS customer

4 Lang

Language Coverage Tamil, Telugu, Hindi, English

COO

Policy query resolution: 2 days to 2 minutes.
Onboarding time for new employees reduced significantly.

CFO

Helpdesk query volume reduced 30–50%.
Cost of policy misinterpretation errors reduced.

CEO

Employee experience improvement across all locations.
Knowledge equity: same access quality regardless of seniority or location.

07 REAL-WORLD SCENARIO

A Day in the Life — Before and After

Before	After
Employee asks HR a policy question by email. Answer takes 2 days. HR team spends time on queries already in documents.	Employee asks the assistant directly. Answer with document citation returned in under 2 minutes. HR queue reduced 30–50%.
New joiner spends 3 days reading through SharePoint looking for onboarding policies, IT guides, and HR procedures.	New joiner asks the assistant. Guided answers from the correct documents in the language they prefer. Onboarding accelerated.
Regional employee in Tamil Nadu cannot find answers in English-only document corpus. Raises ticket. Waits 2 days.	Same employee asks in Tamil. Assistant responds in Tamil with citation from the relevant policy document. No ticket raised.
Senior manager answers the same policy question repeatedly via email because junior staff do not know where to look.	Assistant answers consistently from source documents. Same quality for all seniority levels and locations. Manager freed.

08 ROI AND VALUE JUSTIFICATION

Why the Numbers Work

Value Driver	Indicative Impact	How It Is Realised
Policy query resolution	2 days reduced to 2 minutes	Gemini RAG answers directly from document corpus. Helpdesk email chain eliminated. Instant cited response.
Helpdesk volume reduction	30–50% fewer tickets	Assistant resolves queries without ticket creation. HR and compliance team capacity freed for complex work.
Onboarding acceleration	New joiners productive faster	Guided document access from day one. Policies, SOPs, and guides answered in preferred language immediately.
Knowledge equity	Same quality across all locations	Regional employees in Tamil, Telugu, Hindi access same knowledge quality as head-office staff. No information gap.
Policy misinterpretation cost	Errors reduced through consistency	Answers drawn from authoritative source documents only. Consistent responses across all employees. Compliance risk reduced.

09 NEXT STEPS

Discovery Call

30-min call to map your document corpus, SSO setup, and primary query language needs.

Pilot Scoping

Identify 1 document domain for a 3-week deployment on PowerVS with live RAG index.

Pilot Delivery

Assistant runs live. Query resolution time, helpdesk volume, and response quality tracked.

Business Case

Helpdesk reduction, resolution time, and knowledge equity metrics measured and reported.

Schedule a Free Consultation

Enterprise Knowledge Assistant