Internal knowledge base
Your products, your offerings, the promises actually made to your policyholders.
Agents that carry real work at every stage of the policy lifecycle — each running on a domain fine-tuned, privately hosted model that was tested against thousands of edge cases before it ever spoke to one of your advisors.
An agent at every point a policy currently stops and waits for someone. They share one framework, one private model and one audit trail — and they pass work to each other, so the delay between stages stops being where your cycle time goes.
Coaches the advisor through discovery, recommends the product and builds the tailored quote.
Reads the submission, prices against signal rather than segment, and issues first-time-right.
Resolves routine service and endorsement requests around the clock, without a queue.
Predicts lapse risk before it shows in the book and works the renewal through to collection.
Triages FNOL, settles the simple claims straight through, and gets adjusters the complex ones sooner.
Matches premium, commission and settlement across systems, and closes the exceptions.
What makes an agent safe to put in front of a regulated book of business — and defensible when someone asks why it did what it did.
Your products, your offerings, the promises actually made to your policyholders.
IRDAI circulars and other high-authority industry sources, wired in as live signals.
Role-specific, scope-defined access management applied at inference — not bolted on at the UI.
Balances retrievability of facts against latency, so accuracy does not cost you the conversation.
Every response is grounded in your own sources, fact-checked, and logged before it leaves the model.
Your data never leaves your perimeter.
Start the conversation with the quote already built.
The agent runs need analysis with the advisor, surfaces the right questions and captures the answers straight into the system.
Product recommendation and a tailored quote generated in the conversation, not after it.
Objection handling learned from what actually closes in your organisation, offered before the objection lands.
Why iorta? Our Salesdrive suite of sales CRM applications has processed more than 1M records over the last six years.
Compress the quote cycle and price against signal rather than segment.
Agents structure incoming data, validate policy details and pre-populate systems, dropping quote turnaround times.
Continuous validation of input data from systems or field agents, so underwriters receive a verified case docket with agent recommendations.
Agents parse the messy unstructured records underwriters avoid — medical histories, complex commercial property documents — and deliver a view for every case.
Why iorta? Our leadership bench carries more than 100 years of collective insurance systems experience across underwriting and distribution.
Resolve the routine request before it becomes a ticket.
Routine service requests resolve around the clock without human intervention — with the same empathy.
Changes validated against the policy and the regulator’s position before they are written, so corrections do not come back.
Policy documents, statements and certificates generated and delivered in the channel the policyholder already uses.
Why iorta? WrapDrive already puts every enterprise application behind one login, so the agent works across them rather than around them.
See the lapse before it lands in the book.
Payment-pattern drift and behavioural signals flag at-risk policies weeks before the due date.
Channel-by-channel outreach ordered by what works for that policyholder, with advisor briefs sent ahead of the call.
Collection links issued, followed up and reconciled — the agent works the renewal to the end, not to the handover.
Why iorta? On a single November renewal book, the Persistency Agent surfaced 214 at-risk policies out of 1,482 due and opened outreach in under 15 minutes.
Settle the simple claims automatically so adjusters get the complex ones sooner.
First notice of loss triggers agents into action: photo verification, policy checks and automated reserve creation.
Agents match patterns in the active case against past cases and flag anomalies. Predictive models are fine-tuned on your available data.
When a claim does need an adjuster, it arrives with the documents, history and policy position already gathered.
Why iorta? We have architected and delivered an end-to-end claims management system for one of the largest general insurers in India.
Close the month without the matching.
Premium, commission and settlement matched across banking, policy and accounting systems without manual intervention.
The agent clears what it can and presents only the genuine breaks, with the trail that produced them.
Position visible through the month rather than discovered at the end of it.
Why iorta? ReconDrive runs financial reconciliation in production for banks and insurers today.
Industry context: Deloitte (2025) reports a 20–40% improvement in fraud detection accuracy from AI-driven analysis, varying by implementation.
Not a lifecycle stage — but the reason so many of them are slow. The same agents read the core you already run and get the business logic out of it.
Agents read archaic legacy programming languages and convert them to modern architectures.
Automated extraction documents the business logic buried in the core, shortening deployment timelines.
Streamlined development lifecycles cut capital expenditure significantly.
Why iorta? Our leaders have built their careers modernising the core insurance stack over decades.
DOT performs these human tasks independently, inside the workflows your teams already run.
Assesses needs, recommends products, shares tailored quotes.
Coaches the advisor on what to ask next.
Creates, organises and scores leads for data-driven sales outreach.
Ask Dot to create, allocate or summarise leads.
Gathers data and documents, conducts e-KYC, and ensures quality compliance.
Onboarding in under 15 minutes on existing DOT deployments.
Issues policies, shares them with customers, and confirms comprehension.
Shares personalised payment links with customers.
Assists customers with enquiries, policy changes and endorsements.
Handles claim filing, documentation, evaluation and settlement.
Clients can ask Dot to file a claim.
Manages renewal, termination and the associated risk assessment.
Predicts lapse risk before it shows in the book.
Facilitates candidate evaluation, exam scheduling and preparation.
Uses advanced document analysis for accurate, grounded query responses.
Enables a persistent user experience and workflow integration across sessions.
Delivers dynamic reminders to boost customer interaction and nurturing.
Adapts to organisation-specific processes seamlessly.
Conducts operational data analysis for continuous improvement.
Integrates with WhatsApp and other platforms for external communications.
Every agent works on a live record, not a copy of one — the same view your team sees, with the reasoning and the audit trail attached to it.
Onboarding for Mr Manish Patil is in progress. Below is the stage-wise update.
Scored from every interaction on the record. Last connected 2 days ago, engaging weekly.View conversation
Call about the outstanding document upload.
Dot will continue the onboarding conversation.
An agent with access to a policyholder book is a security surface. We treat it as one.
Every request re-authenticated and re-authorised. No implicit trust from network position or prior session.
The fine-tuned model runs inside your perimeter. No third-party inference, no prompt logging outside your estate.
Role-specific, scope-defined permissions applied to retrieval itself — an agent cannot surface what the user cannot see.
Guardrails verify every response against source before release. No ungrounded generation reaches a customer.
Every retrieval, decision and response is traceable. Built for a regulator asking why, not just what.
Certified information security management, independently audited.
iorta deploys Forward Deployed Engineers — people who have built and run insurance systems, not consultants reading your requirements back to you. The FDE learns your book, puts the agent where the workflow actually breaks, and leaves behind a process your team owns.
Rapid onboarding — agents and customers onboarded in under 15 minutes on existing DOT deployments.
Before anything is deployed, an engineer who knows insurance maps your products, channels and exceptions — and tells you which stage is worth an agent first, and which is not.
The fine-tuned model is hosted in your environment. No third-party inference endpoint, no data egress, no shared tenancy.
Internal knowledge base built from your products, offerings and promises. External signals wired to IRDAI and the sources your teams already trust.
What the FDE built is written down as a process, not left as tribal knowledge — so the next stage takes weeks rather than another discovery cycle. Knowledge transfer is a contractual deliverable, not a goodwill gesture.
Your team runs the agents. We stay for the roadmap, not for the dependency.
We placed our faith on iorta to deliver a bespoke lead management system for our newly launched direct marketing channel. They also extended their services to co-drive the platform’s adoption by defining clear training and feedback loops.
We manage business opportunities and renewal collection processes across channels using Salesdrive from iorta. This has also helped us transition from a digital-focused to a digital-first enterprise.
Not a pilot. Not a proof of concept. One workflow, one agreed metric, measured in your systems.
Renewals, submissions or FNOL — whichever hurts most this quarter.
One number, baselined from your own data before we start.
In your environment, with your team, priced against the outcome.
Book a 15‑minute call. We will tell you which of your workflows is worth an agent first — and which is not.
MIDC, Andheri East, Mumbai, India – 400069