Abhishek drives Chronexa's strategic vision and client partnerships. With a background as a Chartered Accountant and tech entrepreneur, he bridges the gap between complex enterprise operations and AI automation. He ensures every system we build translates directly into measurable ROI for our clients.

Official Anthropic Partner
Add capacity without adding headcount.
We're the AI automation agency for firms that want growth without the hiring bill — digital co-workers engineered into your own environment, on the tools you already run. Deep in financial services, legal, insurance and private equity; we start wherever your work is stuck.
Built on the stack you already run
Real results
Work we've actually shipped.
Every system is custom. None of this is off-the-shelf.
Where is the work stuck?
The work isn't hard. It's that the same work happens again, by hand, every day.
Pick the one that sounds most like your week — or the industry you work in — and we'll show you what we've already built for it.


Winning new clientsSourcing, research, outreach, follow-up
Documents piling upIntake, extraction, classification, filing


Answering customersEmail, chat and voice, grounded in your data

Invoices and the back officeAP/AR, reconciliation, reporting
Work stuck between systemsHandoffs, re-keying, status chasing
Hiring and onboardingScreening, scheduling, paperwork, ramp


Getting foundDemand generation and content operations


Compliance and monitoringAlerts, evidence collection, audit trails
Recognise one of these? Let's talk about which one to fix first.
Book a discovery callBuilt, running, and watchable
Six engines we've already built. Watch one run.
An engine is a connected set of AI agents that runs a whole workflow end to end — pulling from your tools, reasoning over the data, doing the work, and stopping for a human wherever you want it to. These are the ones we've built so far.
Ask a plain-language question of every document your business runs on, and get an answer cited to the exact page.
See how the Document Intelligence Engine works All six engines
The evidence
Real numbers, with the receipts attached.
Two kinds of number: green is our own delivery, each figure linked to its engagement; amber is the industry, measured by named reports. Every claim is checkable.
less time per client report — intelligent document processing at 1,200+ reports a year
US property-services firm 90%less manual regulatory monitoring, and 5× faster internal response
Corporate law firm 84%less client follow-up and document chasing, 3× documents per staff member
CPA firmWhat the research says
- 5 hrsa week, per professional, that AI is expected to hand back within a yearThomson Reuters, Future of Professionals 2025
- $19,000the average annual value of that recovered time, per personThomson Reuters, Future of Professionals 2025
- 22%of firms have a defined AI strategy — and they are twice as likely to see revenue growth from itThomson Reuters, Future of Professionals 2025
How we work
We don't build automation.
We build AI infrastructure — and we stay.
Four stages, in this order, on every engagement. The first is free and the second is fixed, so you know the cost and the target before anything is committed.
- 01
We audit before we build
We map how the work actually gets done — every tool, handoff and manual step — and find where the time leaks. It is almost never where people expect.
You keepA roadmap — free - 02
You get a fixed price first
A written scope — deliverables, success metrics, integration points, the price. You approve it before we write a line. No hourly billing, no surprises.
You approveA fixed-price scope - 03
We build what fits your stack
n8n, custom code, or both — the technology follows the problem. Then it runs on your real data, with the edge cases handled, before it touches live work.
You ownA system on your stack - 04
We deploy, measure, and stay
Live with documentation, training and weekly ROI reporting. Then we keep going — the first build unlocks capacity, the next one multiplies it.
You trackWeekly ROI, in writing
We measure the same three things every time: time recovered, capacity added, and cost per unit of work. Not AI hype. Unit economics.
Custom AI infrastructure
Not another tool to adopt. A team that builds yours.
A chat window can answer questions about the document you paste into it. It can't watch your inbox, classify a hundred thousand filings, and put the result where your team already works. We orchestrate Claude, GPT and Gemini — with n8n, Zapier and custom code — into the stack you already run. Here's what that looks like, one run at a time.
Leadership
The team behind your builds
Ankit leads technical delivery, bringing 10+ years of software and AI engineering experience. He architects secure, enterprise-grade AI systems and agentic workflows. His focus is on shipping stable, production-ready infrastructure that genuinely saves time and accelerates business operations.
Tushar heads Chronexa's brand and demand generation strategy. As a seasoned B2B marketer, he builds the growth engines that connect our deep engineering capabilities with the enterprise teams that need them most, ensuring our solutions reach the right markets.
Not ready to talk yet?
Work out the number yourself, first.
Three calculators built on published industry benchmarks. Put your own figures in and you get the breakdown by email — no call required.
of potential billings never reach an invoice
Billing Leakage Calculator
How much revenue your firm loses to unlogged time — and what automated time capture recovers.
Run it 3×busy-season capacity at published automation rates
Tax Season Capacity Calculator
Returns and revenue your firm could add next season without hiring, at published automation rates.
Run it $10–40what manual handling costs per document, industry-wide
Document Processing Cost Calculator
What manual document handling really costs per year — and the 40–60% that automation removes.
Run itFrequently Asked Questions
We get asked this all the time
How is this different from just using ChatGPT or Claude?
A chat window answers questions about whatever you paste into it. It cannot watch your inbox, know a new document has arrived, classify a hundred thousand filings, or put the result into the systems your team works in. That takes infrastructure — integrations, retrieval pipelines, approval gates, logging — engineered around the models, inside your environment. That infrastructure is what we build.
Are you a software product, or an agency?
An agency. We are AI integration and infrastructure partners: a senior engineering team that designs, builds and runs custom AI systems inside your business. There is no product to subscribe to — what you get is working infrastructure on your own stack, and you own it outright.
Do you build with tools like n8n and Zapier, or write custom code?
Whichever the problem actually needs — orchestration tools where they fit, custom code and fine-tuned models where they do not, often both in one system. The value is not the tool; it is the system design, the integrations and the reliability engineering around it. We are not reselling a workflow builder.
Where does our data live, and who can see it?
Inside your own environment. We deploy on the infrastructure you already run — including private, self-hosted model instances on AWS, Azure or Google Vertex AI where compliance requires it — with role-based access and full audit logging. Your data never leaves your boundary and is never used to train a model: not ours, and not any provider’s.
What happens when the AI gets something wrong?
It is designed to surface uncertainty rather than guess. Low-confidence outputs are flagged for a human instead of being silently accepted, and a human-approval gate sits wherever you want one — before a document is filed, an order is placed, or an email leaves. Every step is logged, so you can always see what happened and why.
Do we have to replace the tools we already use?
No. Everything we build wires into the stack you already run — your CRM, DMS, practice management, tax software, accounting system or data warehouse. Replacing a working system is the most expensive way to start, so we connect to it instead.
Who owns the system if we stop working with you?
You do. We build assets you own outright, on your infrastructure, documented and handed over — not a subscription you rent from us. If we part ways, the system keeps running and your team has what it needs to operate and change it.
How long until it is live, and what does it cost?
A focused workflow is typically live in 3–5 weeks; a full multi-agent system across a department is usually a couple of months. Every engagement is fixed-price, with the scope, the success metrics and the price agreed in writing before any code is written. The audit that precedes it is free.
We are not in finance, legal or insurance. Do you still work with us?
Yes. Our depth is in regulated industries — financial services, legal, insurance, private equity — because that is where the constraints are hardest. But the work is defined by the bottleneck, not the sector: if you have repetitive, high-volume work in documents, sales, support or operations, the same engineering applies.

Bring us the workflow that keeps eating your team's week.
Let's find the first one to fix.
The audit is free. If we can't find automation worth more than it costs to build, you owe us nothing — and you keep the roadmap.
Prefer email? info@chronexa.io
Or tell us what's slow
We'll review your workflows and come back with where AI saves the most time and cost.





