Sahakar Shakti Sahakar Shakti More Power to Cooperatives
SahAI · the AI layer inside Sahakar Shakti

Your Lending Intelligence.

Advisory by design. Grounded in your policies, your records and the case in front of the officer. Officers approve every decision.

Request a demo →
SahAI
Advisory by design
You
What's missing on this loan file before sanction?
SahAI
Member co-applicant KYC is pending. Bureau pull is older than 30 days. Insurance assignment letter is not on file. Other documents look complete.

Six Ways SahAI Helps.

Each one grounded in your policies, your records and the case at hand.

Read Policies, records and history Summarise Cases and member history Nudge Surfaces what needs attention SAHAI Advise Suggests the next right step Evaluate Checks gaps, risks and overlaps Support Drafts notes the officer signs

See SahAI On Screen.

Two real exchanges from a credit officer's day. Plain-language in, structured cited answers out.

SahAI
Sample · Gap Check
What's missing on APP-2056 before sanction?
Two documents are pending:
  • Insurance assignment letter — required for BL ≥ ₹25 L
  • GST returns — last 3 months are missing on file
Source: Product Policy v2.4 · §3.4
SahAI
Sample · Policy Lookup
What does our policy say on insurance assignment for BL?
From Product Policy v2.4 · §3.4 — Mandatory Documents: "For all Business Loans where the sanctioned amount equals or exceeds ₹25,00,000, an insurance assignment letter from a registered insurer is required at disbursement." 📎 Open Source Document

Built with Guardrails. Not Hype.

SahAI assists the officer. It does not replace judgement, approvals or system controls.

01
Policy-Aware

Reads Your Policies.

Refers to your product rules and credit policy, not generic advice.

02
Advisory Only

Officers Decide.

Highlights gaps and drafts observations. Approvals stay with authorised users.

03
System-Led Maths

Not AI Guesses.

EMIs, dues, charges and eligibility computed by system rules. SahAI only narrates.

04
Tenant Controlled

Institution Sets Limits.

Each cooperative chooses where SahAI is used and on which data.

How a SahAI Question Is Answered.

Three steps, every single time.

01 02 03

Tokenise and Gather.

The question, the record on screen and the relevant policy chunks. PII is tokenised before anything leaves.

Compute and Narrate.

Deterministic engines do the numbers. The model narrates over numbers it never invented.

Validate and De-Tokenise.

Structured-output validator runs, tokens swap back to the original PII, citations attach.

SahAI Inside the Workflow, by Role.

Different role, different answer. SahAI tailors its response to who's asking.

Relationship Managers

Summarise a member's history. Draft a polite follow-up. Resume a half-filled application without losing context.

Credit Officers

See gaps before approval. Draft a credit note. Find the policy clause that applies, with citations.

Collections Teams

Member-level recovery story across past PTPs. Draft follow-up notes. Right next action by stage of overdue.

See SahAI Working on a Real Case.

Live walkthrough on sample cases. SahAI proposes, the officer approves, the audit logs it. About thirty minutes.

Request a demo →