Who They Are Now
The Firm That Automates the Back Office While Everyone Else Talks About It
Picture a financial advisor at a large wealth management firm on a Tuesday morning. There are eight new client accounts to onboard, each requiring a stack of forms, KYC verification, document uploads, and data entry across four different legacy systems. By 11am, she has processed one. The other seven are waiting.
This is the problem JIFFY.ai was built to eliminate. Not in theory. In production. The Palo Alto-based company runs an enterprise AI platform that automates those onboarding workflows end-to-end — reading documents, extracting data, routing approvals, and updating systems of record — without a single developer writing glue code between tools. It calls these bundled automation solutions "HyperApps," and the financial services industry has been buying them at a rate that helped the company raise $105M+ across three funding rounds.
"No code, no problem: AI is rewiring the advisor tech stack."
— Babu Sivadasan, JIFFY.ai CEO, WealthTech Today Podcast, May 2026The platform is not just RPA with a new label. JIFFY.ai combines robotic process automation, intelligent document processing, natural language processing, machine learning, and — as of 2026 — generative AI in a single unified layer that financial services firms deploy across onboarding, account servicing, compliance, and advisor productivity. Its 180-person team operates across Palo Alto and Bengaluru, serving Fortune 500 banks, broker-dealers, RIAs, and wealth management firms with a roster of outcomes their marketing team frankly underplays.
The Problem They Saw
Financial Services Runs on Paper That Pretends to Be Digital
Banks and wealth management firms have spent two decades digitizing their front-end customer experience. They built mobile apps, redesigned portals, and hired UX designers. But underneath the gleaming interface, the same document-heavy, manually-intensive processes were still running. PDFs were being printed and scanned. Data was being re-entered from one system into another. A compliance check that could take seconds was taking hours because it required a human to read a form.
The fintech boom that swept through consumer banking largely skipped the operational layer. What changed was the front window — not the back office. JIFFY.ai's founders saw this gap clearly, not as outsiders, but as insiders who had spent decades inside the firms that needed fixing.
"Technology should catalyze innovation rather than hinder it."
— JIFFY.ai company mission statementThe sheer volume of documents flowing through a mid-sized wealth management firm is staggering: account opening forms, transfer requests, beneficiary designations, tax documents, annual reviews. Each document touches multiple teams. Each team has its own system. No single platform talks to all of them. JIFFY.ai was built to be that translator layer — one platform that reads the documents, understands the context, and moves the work forward without waiting for a human to push it.
The Founders' Bet
Built by People Who Already Knew the Problem From the Inside
Babu Sivadasan is not a first-time founder betting on a market he read about in a report. He co-founded Envestnet — the wealth management platform that today processes over $5 trillion in assets — and spent 20 years there as Group President. Before that, he was founding CTO of Stamps.com. When he decided the back-office automation problem was worth a new company, he brought in a team of co-founders with deep roots in both technology and financial services operations: Rajmohan Harindranath, Krishnan Subramanian (COO), Payeli Ghosh, Subin Perumbidy, Sudhir Sen, Dennis Colon, and Shreyas P C.
The founding bet was simple and risky in equal measure: that financial services firms would pay for a platform that unified automation, document intelligence, and app development in one tool — rather than stitching together point solutions from five different vendors. In 2018, that was a contrarian view. Most enterprise software vendors sold specialized tools. The market rewarded depth in a narrow category, not breadth across adjacent ones.
JIFFY.ai went broad on purpose. It built a platform that could ingest a document, understand its content, trigger a workflow, update a record, and surface insights to a human reviewer — all from a single no-code configuration layer. The bet paid off when firms discovered that the integration work between narrow tools was itself becoming the biggest cost center in their operations.
The Product
HyperApps: Pre-Packaged Automation That Actually Ships
The most useful insight in enterprise software is that customers do not want to build automations from scratch. They want to turn on a solution that works on day one, then configure it to match their specific workflows. JIFFY.ai figured this out early, and packaged its platform into what it calls HyperApps — industry-specific automation bundles that combine RPA, document intelligence, and workflow logic in a single deployable unit.
A wealth management firm deploying the Unified Onboarding HyperApp, for example, gets an end-to-end system for client intake: document collection, identity verification, KYC processing, account setup, and custodian integration — pre-wired together, configurable without code, and connected to the firm's existing systems through a library of out-of-the-box integrations with Schwab, BNY Pershing, Axos Clearing, and others.
Unified Onboarding
End-to-end client intake automation: document collection, KYC, account setup, and custodian integration pre-wired in one HyperApp.
AI Advisor Companion
Launched 2026. Generative AI assistant for financial advisors — surfaces client insights, drafts communications, and flags action items in real time.
Intelligent Document Processing
AI engine that classifies, extracts, and validates data from financial documents. 85%+ straight-through processing rates at enterprise scale.
Advisor Universal Desktop
Unified workstation that aggregates data from multiple custodians, CRMs, and systems into a single view — no more tab-switching.
No-Code App Builder
Drag-and-drop tool for building enterprise-grade business applications — deployable to web and mobile without writing code.
TRAC ONE-F (with WNS)
Co-developed unified autonomous finance HyperApp for enterprise Finance & Accounting operations — accounts payable, receivables, and reporting.
"The HyperApp platform has rapidly become the foundation for intelligent automation across multiple functions at our firm."
— Enterprise customer testimonialThe Proof
Numbers Customers Actually Put in Press Releases
Enterprise software companies often cite metrics so carefully hedged they reveal nothing. JIFFY.ai's customer numbers are refreshingly specific. A top US automaker runs 150,000 invoices per month through JIFFY.ai's document processing engine at 85% straight-through processing — meaning 127,500 invoices a month that require no human intervention, across 5,000 suppliers. A global logistics company cut accounts payable cycle time by 70% and increased Days Payable Outstanding by 30%, with 80% of the workflow running touchlessly. A major US airline used the platform to clear thousands of hours of refund backlog in six weeks.
In financial services specifically — where JIFFY.ai concentrates most of its product development — a large US clearing and custody provider boosted advisor productivity by 40% and cut client service time by up to 50%. A major US financial institution reduced new account onboarding costs by 30%.
Partnerships extend the reach. The Docupace partnership integrates JIFFY.ai's automation layer directly into wealth management back-office workflows. The Cetera partnership brings automation to Cetera's nationwide advisor network. WNS co-developed TRAC ONE-F to target enterprise Finance & Accounting operations with a turnkey solution for the CFO function.
"A US airline customer used JIFFY.ai to resolve thousands of hours of flight refund and cancellation backlog — in six weeks."
— JIFFY.ai case study libraryFunding History
| Round | Amount | Date | Lead Investor |
|---|---|---|---|
| Seed | Undisclosed | 2018 | — |
| Series A | $18M | June 2020 | Nexus Venture Partners |
| Series B | $53M | March 2022 | Eight Roads Ventures (Fidelity) |
| Total | $105M+ | — | — |
The Mission
Why "No-Code" Is a Political Statement, Not Just a Feature
In most enterprise software, the word "no-code" is marketing language for "you still need a developer, just less often." JIFFY.ai uses it to mean something more pointed: that the people who understand financial workflows — the operations managers, the compliance officers, the advisor support teams — should be able to configure automation without routing every change through an IT backlog.
This is a political position inside large financial services firms, where IT gatekeeping is both a resource constraint and a cultural norm. Building a no-code platform for financial services is not just a product decision; it is a redistribution of who gets to own operational change. JIFFY.ai's bet is that the firms willing to make that shift will outcompete those that are not.
The company's mission — "elevating client engagement experiences with AI innovation" — frames automation as client experience work, not cost-cutting. The framing matters. It positions JIFFY.ai's tools not as headcount reduction mechanisms but as advisor enablement — freeing the human to focus on relationship and judgment work while the machine handles the form-filling.
Who Competes
JIFFY.ai's differentiation: unified platform (RPA + IDP + no-code + GenAI) purpose-built for financial services, with pre-packaged HyperApps and deep custodian integrations that general-purpose automation vendors don't ship out of the box.
Why It Matters Tomorrow
Generative AI Just Made the Backlog Visible
For years, the automation problem in financial services was described as a technology problem. Build better bots, get better outcomes. Generative AI changed the framing. Suddenly it is clear that most of what makes financial services expensive is not the complexity of the work — it is the volume of judgment-light tasks that pile up because humans are the cheapest available processor.
JIFFY.ai's March 2026 launch of the AI Advisor Companion captures where the company is heading. The tool is not a chatbot. It is a generative AI layer inside the advisor workflow — surfacing client data, drafting follow-up communications, flagging action items, and reducing the cognitive overhead that advisors spend on administrative recall. It launched at the T3 Technology Conference, the annual gathering of wealth management technology buyers, with the implication that the AI advisor stack is being built now and the window to be part of that infrastructure is narrowing.
"The question was never whether AI would change financial services. The question was who would build the plumbing."
— Paraphrasing JIFFY.ai's founding thesisBack to that Tuesday morning at the wealth management firm. Eight accounts to onboard. By noon, with JIFFY.ai running the back-office intake, seven of them are done. Documents read, data extracted, records updated, compliance checks flagged and cleared. The advisor never touched a form. She spent the morning on calls with clients who needed human judgment. That is the scenario JIFFY.ai is selling — and in a handful of firms, it is already the reality.
Milestones & Recognition
- $105M+ raised across Seed, Series A, and Series B funding rounds
- Series B led by Eight Roads Ventures (Fidelity-backed) — $53M, March 2022
- Everest Group IDP PEAK Matrix: Major Contender (2021) → Star Performer (2023)
- HFS Top 10 RPA Service Provider
- 2021 SoftwareReviews Emotional Footprint Champion Award
- 100+ enterprise automation projects delivered globally
- Sanjay Poonen — former VMware COO and SAP President — joined as advisor in 2022
- AI Advisor Companion launched at T3 Technology Conference, March 2026
- Partnerships with Docupace, Cetera, WNS, and Seed Group
- Out-of-the-box custodian integrations with Schwab, BNY Pershing, Axos Clearing
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