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THE END OF OFF-THE-SHELF

In the age of AI,
custom software isn't a luxury.
It's the right of every enterprise.

We help you in reimagining how your business actually runs, then build the software for it — a platform core we've already proven, a workflow layer built only for you. Embedded in your business. Owned by your team. Measured on your P&L.

17
production workflows delivered across 5 families
45+
specialists placed and trained on client payroll
21 mo
delivering production platforms
up to 5×
typical productivity gain per workflow
Built by operators from Carlyle · McKinsey · Flipkart · BCG X
The Problem

Generic software was always a compromise. You just paid for it in silence.

Rented workflows, not owned ones

Off-the-shelf tools make you adapt your business to their design. You're renting someone else's idea of how you should operate.

Knowledge that never compounds

Every workaround, every judgment call your best people make — it lives in their heads and leaves when they do. Software should learn it. Yours doesn't.

Your best people, doing the software's job

Scanning, checking, formatting — work that exists only because the system can't. That's not a headcount problem. It's a software problem wearing a headcount costume.

More people is not a strategy

Every new problem gets solved by hiring. Costs compound. The business doesn't get smarter — just bigger.

The old model made this trade-off inevitable. It isn't anymore.
Legacy model vs. AI-native model — the gap is your competitive moat
Cost / Headcount Time / Business Volume Legacy model: Cost rises with every unit of growth. AI-native model: Cost stays flat. The gap compounds — that's your moat. The gap = your competitive moat
Legacy model — headcount grows with revenue
AI-native model — fixed-cost platform, exponential output
See The Model Work

The clearest proof isn't a slide. It's watching the model reason about your problem.

Describe a workflow, bottleneck or process problem below. The answer is generated live and grounded only in how K2Alpha actually operates — not a generic AI response.

Answered by the same K2Alpha approach we use with clients — not a general-purpose chatbot.
Our Model

Software vendors sell you their workflow. Consultants sell you a recommendation for yours. We build yours — and run it with you until it's second nature.

Software vendors hand you a tool. Consultants hand you a deck. Neither runs itself. We act as founders inside your business — and stay until the workflow runs on its own.

01

We build inside your business, not next to it

The partners stay in the room: problem definition, workflow redesign, change management, ROI tracking, adoption. An AI-accelerated dev bench ships the software weekly. The objective isn't shipping code — it's moving the business outcome.

02

Priced like we're on your team, not billing you by the hour

The build is priced near cost — we're not marking up the work of getting live. Once it's running, a real share of what we earn is tied to the outcomes it actually drives on your P&L. And once it's yours to run, we maintain it the way software should be priced — metered on what you actually use, per transaction, per invoice, per token — not a flat license for capacity you don't need.

03

No lock-in, by design

We don't leave you dependent on us to run what we built. We hire and train the people who will — and put them on your payroll, not ours. In AI, the stack changes too fast for permanent dependency to be a strategy. Our success metric is your independence.

04

A platform core we've already proven. A workflow only you have.

Every engagement runs on infrastructure we've already hardened — orchestration, governance, guardrails, the boring stuff that shouldn't be reinvented per client. What's actually built for you is the part that matters: your exceptions, your compliance, your P&L levers. You get the speed of a platform and the fit of a custom build — never a rounding error between the two. The playbooks are how this scales past us — every new engagement starts from a proven pattern, not a blank page.

We start with your P&L, not with AI.

Every business has two or three levers that move the numbers. We find them, then we build there. Nothing rips out — the system handles the repetition, people own the exceptions.

Your systems
CRM · LOS · ERP · Email · Documents
↓
K2Alpha layer
Platform core (proven, reused, hardened)
+
Your workflow (built only for you)
Not rebuilt from zero. Not generic either.
↓
Your team
Approves · Overrides · Decides
↓
Business outcomes
Revenue · Margin · Risk · Productivity

Most AI projects fail for the same reason.

Advice doesn't run itself; AI products don't connect themselves. We build the workflow — and stay until it runs.

Consulting Typical AI vendor K2Alpha
What you get Recommendations An AI product ✓ Operating workflow, owned by you
Output Strategy on a slide Generic capability ✓ Adoption-driven business outcome
Engagement Duration Till the report Till go-live ✓ Stays until it runs
What you're left with A document A disconnected tool ✓ Independence *
What you're actually buying A recommendation Someone else's workflow ✓ Your workflow, on a platform we've already proven
Where the risk sits Yours, after they leave Yours, if it doesn't fit ✓ Ours, until it runs on its own

* We hire and train the people who run what we built, on your payroll, not ours — 45+ placed and counting. That's how you know we're not selling you dependency.

Sector Playbooks

Two playbooks, proven in production.

Not frameworks. Repeatable, sector-specific operating models — each running live, each owned by the client's own team.

One core. Two industries. Neither one a one-off.

Wealth and Lending run on the same architecture, built for two completely different rulebooks. That's not a coincidence — that's the platform working. Both sit inside India's most tightly regulated environments — SEBI on one side, RBI on the other — which is exactly why the architecture has to be provably consistent, not just fast.

Wealth & Capital Markets
Delivered · 9–12 months live

Coverage that scales without headcount.

A SEBI-regulated wealth and capital-markets platform. The coverage target jumped from 182 companies to 750. Hiring 7× more analysts wasn't the answer — the operating model had to change.

1:6 → 1:25
coverage ratio per analyst, no new hires
70–80%
reduction in manual work
hours → minutes
core workflow turnaround
Research & coverage RM co-pilot ↗ In-call intelligence ↗ Distribution SEBI compliance

40–50 analysts · 25–35 RMs · 182 → 750 companies · all workflows still in use. Built on top of existing research, CRM and trading systems — no platform replaced.

Digital Lending / NBFC
6 Systems Live

Scale the book without the jam.

A growth-stage Indian digital NBFC — ₹10–20k personal loans to thin-file, gig-economy and informal-income borrowers. What works at 100,000 loans breaks at a million. Acquisition, underwriting, collections and governance become the bottleneck before credit does.

85% in <3m
files cleared straight through; -60% reporting
48h → 15m
RBI escalation investigation time
2–3×
conversion in golden hours via dialer brain
Credit File Readiness Dialer Origination Brain RBI Escalation Investigator CX Service Auto-Routing Engineering JIRA Governor

Built on top of existing LOS, LMS and risk engine. 70% service emails auto-routed; -35% sprint leakage. Full rollout complete.

Healthcare · Call Centre & Clinic OS
In progress · PE Portfolio

Ten AI agents under production across clinic & outbound operations.

Two healthcare portfolio companies in parallel: an IVF chain + skin care brand and a kidney care network. Voice-AI qualification agents in patient Indic languages, WhatsApp no-show recovery, and auto-reading scans, labs and prescriptions into clinical records.

Indic Voice-AI Qualification Consult Transcription & Summaries Multimodal Scan & Lab Ingestion WhatsApp No-Show Recovery Claims Reconciliation

30% fixed + 70% outcome-linked commercial structure. Built on 4 layers: Voice Edge, Real-Time Orchestration, Multimodal Async, and Patient Context Graph.

Five more engagements, delivered

  • Private-markets / unlisted-securities marketplace — built unlisted-deals marketplace; KYC under 5 min; deal ops -90%; 5× bid volume on flat ops headcount
  • Fast-fashion manufacturer — factory line planning from 3 days to 4 hours
  • Construction marketplace & tech (2 clients) — legal document checker (days to <10m); BOQ & tender pricing (2 months to 10 days); RFQ turnaround -50%
  • Construction AI hiring — screen-to-interview turnaround reduced by 70%
Proof, Not Slides

Two workflows from the Wealth playbook.
Both live. Both clickable.

These aren't products we sell. They're what the build produces — the RM co-pilot and the in-call layer from a SEBI-regulated wealth engagement, running on synthetic data so you can test them without an NDA.

Artifact 01 RM Co-Pilot & Operations Desk

K2 WealthDesk Logo K2 WealthDesk

Four roles, server-enforced book isolation, an LLM that turns raw call notes into structured CRM records, ops tasks on strict SLA clocks, and a deterministic SEBI audit trail logging every action as it happens.

Self-Guided Walkthrough: Start as Rahul Sharma (RM) · Synthesize live call notes · Switch to Ops queue · ~10 mins
Book Isolation AI Note Synthesis SLA Tasks SEBI Audit Trail
Open live demo →
Artifact 02 In-Call Intelligence Layer

K2 OnCall Logo K2 OnCall

The ninety seconds that decide the quarter. Real-time transcript, client persona grounding, compliance guardrails firing mid-call, live objection battlecards, and supervisor co-listening.

Key Demo Scenario: Run Harish Patel — watch the assistant strike through the plan & re-derive suitability mid-call.
Real-Time Transcripts Indic Language Voice In-Call Guardrails Supervisor Co-Listen
Open live demo →
Indian Rails · Indian Compliance · Real Edge Cases

Native integration with CAMS, KFintech, and BSE StAR MF. Multi-lingual voice processing across Indic languages. Built from day one inside SEBI and RBI regulatory boundaries.

How We Engage

Live system in ~14 weeks.

W1–2
Weeks 1–2

Prioritise

Find the one workflow that moves your numbers.

W3–12
Weeks 3–12

Build

Live environment. Real users. Real edge cases.

W13–14
Weeks 13–14

Roll out

Live deploy. Stakeholder adoption included.

Proven on the wealth engagement: first usable value in ~14 weeks; now 9–12 months live and still running. The workflow changed after deployment. The operating model did not.

The PQRS guardrails

P
Performance

95%+ reasoning floor; ROI benchmarked before and after

Q
Quality

Human-in-the-loop; semantic-leakage elimination

R
Reliability

MCP-server integration; redundant model fail-safes

S
Security

AI gateway; no public training; enterprise encryption

The Team

Operators who build —
not advisors who recommend.

Ashish Karan

Ashish Karan

CEO & Co-Founder

Led transformation and investing across financial services, healthcare and logistics.

Carlyle Group · McKinsey · IIT Kharagpur · IIM Ahmedabad

LinkedIn ↗
Ranjan Kant

Ranjan Kant

Chief Architect & Co-Founder

Scaled lending, risk and operations technology across Indian e-commerce and fintech.

Flipkart · BCG X · OfBusiness · IIT Kharagpur · IIM Ahmedabad

LinkedIn ↗
Forward-deployed engineers ship alongside your team. An AI-enabled dev bench ships weekly.
17 production workflows delivered · 5 reusable families · 6 in progress.

"The real AI opportunity is not at the desktop.
It's inside the workflow."

The real work starts inside the workflow.

Schedule a 30-minute session → founders@k2alpha.ai
K2 WealthDesk — Self-Guided Demo Companion

Open: https://wealthdesk.k2alpha.ai  ·  Time: about 10 minutes

Sign in: Pick a role on the landing screen and click Sign In. Credentials are pre-filled; each role signs in against the live backend, so what you can see is decided on the server, not hidden in the browser.

Start as the Relationship Manager (Rahul Sharma)

This is the role the product is built for. Everything else makes more sense after it.

  • 1. My Action Desk: The opening screen ranks who to call today and why, and shows the RM's book at a glance — assets, open tasks, and idle client cash that turns a servicing call into a revenue conversation. Note the SLA badge on each task: it shows real time remaining or overdue, not a static status label.
  • 2. Advisor Call Co-Pilot: Choose a client (start with Vikramaditya Singhania). Read the Objection Defense scripts — each pushback is answered with a number, not an opinion. The suitability check runs behind the script, not after the call.
  • 3. Auto CRM & Meeting Synthesizer — type your own: This is live AI, not a canned result. Type a few lines of rough call notes in your own words and press Synthesize. In roughly twenty seconds it returns a structured CRM record: summary, sentiment, mandate-alignment check, extracted money signals, and ops tasks with owners and SLAs. Nothing is committed until you review each step.
  • 4. Ask K2 — one assistant, three jobs: Open Ask K2. Ask reference questions ("What are the LRS limits for education?"), query your own live book ("Who has over ₹50L idle cash?"), or ask how the product works.

Then see the other three roles (top-right, Switch Role)

  • Priya Nair (RM): She sees only her own client. Requesting another RM's client returns "not found" — book isolation is enforced at the server.
  • Vikram Mehta (Cluster Head): The governance view: firm-wide assets, per-advisor Team Task Performance, book-wide risk heatmap, and a timestamped SEBI-style audit trail. Anything you did as Rahul appears here within seconds.
  • Central Ops & Compliance: The back-office queue where tasks dispatched by an RM land — assigned, categorised, and on an SLA clock.

What is live, and what is sample

  • Live: The backend and role-based access, AI meeting synthesis and Ask K2 (real model calls), audit trail, and every computed figure.
  • Sample: The clients, portfolios and history are representative demo data, not a real book.
Questions? founders@k2alpha.ai Launch Demo →
K2 OnCall — Self-Guided Demo Companion

Open: https://oncall.k2alpha.ai  ·  Time: about 10 minutes  ·  Sign in: None required.

K2 OnCall is the ninety seconds that decide the quarter: the live-call layer that sits beside a relationship manager while they are on the phone with a client. It reads the conversation, classifies the client, surfaces the right thing to say, and holds the compliance line in the moment.

Run your first call

Pick a client from the dropdown and press Start call. Start with Vikramaditya Singhania (a liquidity-event call). Watch the panels populate as the conversation plays — nothing is pre-rendered before it happens in the call.

  • Client persona (left): The assistant classifies the client from real signals on the record with confidence and reasoning.
  • Next Best Actions (right): An ordered checklist that moves through the call: Open, Discover, Handle objection, Compliance, Close.
  • Objection battlecards: Jumps to "Suggested now" with a quantified answer ready to read aloud.
  • Compliance guardrail: Sits dim until the moment demanding it, then lights up (e.g. when guaranteed returns are mentioned).

The call worth seeing — the client who changes their mind

Run Harish Patel. He opens cautious, wanting to move everything into fixed deposits. The assistant sets up a measured plan. Mid-call, he veers the other way — "forget it, put it all in aggressive equity."

Watch the Next Best Actions panel: the original plan crosses itself out — struck through, marked "Superseded — plan changed" — a new step takes over, and the suitability guardrail fires in real time.

Also worth trying

  • Ask K2 (during call): Type "current LRS limit?" or "house view on gold?" for instant, grounded citations.
  • Aditya Rao (Concentrated Wealth): Founder whose IPO lock-in is expiring. Frame staggered, tax-aware diversification while respecting insider-trading windows.
  • Indic Languages: Calls in Kannada and Hindi with "Show English" and spoken voice toggles.
  • Supervisor View (top-right): Join a live call, send instant coaching whispers to the RM's screen, and flag for QA.
Questions? founders@k2alpha.ai Launch Demo →