Ignosis AI

Does your Voice AI ask customers to choose a language? 😅 @_Ignosis AI detects your customer's language from the moment they start speaking and adapts the conversation instantly. This is Intelligence-Led #VoiceAI for #collections, making every customer conversation smarter. 😉

Most #VoiceAI platforms focus on sounding human. #Collections requires sounding right. Combine Financial Data Intelligence with Voice AI. Analyse borrower intent, repayment behaviour, cashflows & AA data to match the right AI persona & collection strategy to every interaction.

#Collections need better signals not more effort. With @slicebank, we’re shifting to signal-driven decisions using cashflow + intent + Voice AI. Results: 15% higher collections efficiency, less effort, better CX. Grateful to Nihit & slice team for the trust & partnership💪🏻

Inside Ignosis: Making Financial Data Reliable Enough to Automate Decisions Financial Services now has more data than ever before. The real opportunity is turning that data into reliable, automated decision-making. For years, banks and lenders in India have layered dashboards on top of fragmented systems. But when the underlying data is inconsistent or incomplete, critical decisions across credit, risk, and collections fall back to manual review. From AA reliability to decision infrastructure: Ignosis started by fixing the foundation. The company built around Account Aggregator orchestration, designed to make consented financial data reliable at scale. Because if the rail isn't dependable, nothing built on top of it can automate. Today, Ignosis operates as a full-stack Financial Intelligence & Analytics Engine. It unifies AA data, bureau signals, documents, transactions, and behavioural patterns. The result is decision-ready intelligence that enables context-aware credit, risk, collections, and engagement actions for every customer. Automating credit operations: For lenders, this powers Credit Ops Automation. Agentic AI systems automate PD estimation, income validation, document intelligence, and cross-risk analytics. Decision-making becomes more consistent, while risk and operations teams gain significant productivity. Rebuilding collections with intelligence: Post-disbursal, the same intelligence extends into collections. AA-driven cashflow signals combined with Voice AI agents help institutions prioritize outreach, refine contact strategies, and improve recovery outcomes while materially reducing operational costs. Fragmented workflows to autonomous systems: Ignosis represents a broader shift underway in financial services. ➡️Integrations to orchestration ➡️ Fragmented workflows to unified intelligence ➡️Manual review to autonomous, outcome-driven systems By combining AA orchestration, customer-level financial intelligence, and agentic AI, Ignosis is helping financial institutions move from fragmented processes to intelligent systems built for scale, compliance, and trust. This is our Surge Spotlight on Ignosis, part of our ongoing series highlighting the companies from #Surge11 and the category shifts they represent. @_Ignosis @niravprajapati1 @_shethchintan @RajanAnandan @KaustubhMundra3 @NavenduS

eNACH shouldn’t be a blind pull. Our Pre-Debit Balance Check uses AA to verify account balance in real time and trigger the mandate only when funds are available. Reach out to us at info@ignosis.ai to see it in action #accountaggregator #digitallending

Collections teams need to understand customer's financial profile to make informed decisions on when and how much to collect. Recurring, consented pulls of banking data through Account Aggregator can give real-time visibility into a borrower’s cashflow health. #AccountAggregator

How AA is reshaping MSME lending, what lenders are getting right, and role of TSP. This is the distilled version of what we are seeing in the industry. ignosis.ai/blog/aa-transf… #AccountAggregator #FinancialDataIntelligence #lending

Why this matters: Most personalisation fails because teams rely on what customers click, not how customers actually live financially. Categorisation Engine is a core building block of Ignosis's Financial Data Intelligence layer. Write to us at info@ignosis.ai to learn more

3. Transaction patterns surface meaningful inflection points: 👉🏻 Sudden income drops → risk or hardship emerging 👉🏻 Rising expenses → liquidity tightening 👉🏻 New EMIs → over leveraged 👉🏻 Low discretionary spends → major events 👉🏻 High recurring fees → nudge up-sell

Categorisation is often treated as a hygiene feature. But in practice, every downstream decision depends on the accuracy of this layer. Here’s what high-quality transaction categorisation unlocks 👇🏼 #AccountAggregator #FinancialDataIntelligence

Lenders hesitate to go AA-first because they fear journey breaks. AA-enabled underwriting works when orchestration is strong. Our customers see: • 98% income accuracy • higher approval rates • lower 90+ DPD

We are absolutely delighted to announce that @ShriramLifeIns has been successfully onboarded as both a Financial Information Provider (FIP) and a Financial Information User (FIU) within the Account Aggregator ecosystem. #accountaggregator , #Sahamati, #fintech

Exciting news!!!! Welcome to our official Twitter handle! Visit our website at ignosis.ai and stay tuned for exciting announcements, and behind-the-scenes glimpses into the world of Ignosis Systems with respect to #DigitalLending, #AA, #AI, #DataAnalytics and more