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.
Custom AI systems that take the repetitive work off your team — built inside your own environment, on the tools you already run. Our depth is in legal, tax, finance and insurance. We start wherever your work is stuck.
Built on the stack you already run
Real results
Work we've
actually shipped.
DOCUMENT AUTOMATION · PROPERTY
3 weeks → 4 hours
How ReserveStudy.com cut report creation time from days to minutes
Thousands of site images processed, OCR'd, and financially modelled. 50+ page reserve study generated automatically — 1,200+ reports a year.
Read case study
AI RESEARCH AGENT · LEGAL
90% less manual monitoring
How a leading corporate law firm automated regulatory intelligence
Regulatory tracking, case research, human review, client communications — automated end to end, with 5× faster internal response.
Read case study
TAX WORKFLOW · CPA FIRM
3× documents per staffer
Scaling tax-season capacity without increasing headcount
Document chasing, classification and extraction handled automatically — 84% less manual client follow-up through the busiest weeks of the year.
Read case study
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.
Every engagement starts by finding where that happens in your business. 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.
By bottleneck
- 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
By industry
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
Two kinds of number, and we'll tell you which is which.
The first set is the category, measured by people other than us — every tile names its report. The second set is our own delivery, each figure attached to the engagement it came from.
What the research says
5 hrs
a week, per professional, is what AI is expected to give back over the next year — up from 4 hours predicted a year earlier.
Thomson Reuters, Future of Professionals 2025$19,000
the average annual value of that time, per person. Across the US it adds up to $20bn a year in legal and $12bn in accounting.
Thomson Reuters, Future of Professionals 202522%
of firms have a visible, defined AI strategy. The ones that do are twice as likely to see revenue growth from it — the gap is planning, not tooling.
Thomson Reuters, Future of Professionals 202555,152
US accounting graduates in 2023–24, down 6.6% in a year. The capacity you need is not arriving in the hiring market.
AICPA 2025 Trends, via Journal of AccountancyWhat we've delivered
85%
less time per reserve study report, at 1,200+ reports a year
ReserveStudy.com
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 firm
78%
less manual research and drafting, 5× outreach per rep
Sales operations
70%
less time on data-room document review during diligence
Mid-market PE firm
80%
less manual invoice handling, cycle time from days to hours
Fintech AP team
How we work
We don't build automation.
We build AI infrastructure — and we stay.
Four steps, in this order, on every engagement. The first one is free and the second one is fixed, so you know the cost and the target before anything is committed.
- 01
We audit before we build.
We sit with your team and map every tool, every handoff, every manual step — how the work actually gets done, not how the process document says it does. That is where the time and money are leaking, and it is almost never where people expect. The audit is free: if we cannot find automation worth more than it costs to build, you owe us nothing and you keep the roadmap.
- 02
You get a fixed price before any code.
A written scope: deliverables, success metrics, integration points, edge cases and the price. You approve it before we write a line. No hourly billing, no scope creep, no invoice you did not see coming.
- 03
We build what fits, then test it on real data.
Sometimes that is n8n. Sometimes a fully coded custom system. Sometimes it is organising what you already have so it can be automated at all. The technology follows the problem — we do not wedge your workflow into a product that was not built for it. Then it runs against your real data, with the edge cases handled, before it touches live operations.
- 04
We deploy, measure, and stay.
Go-live comes with documentation, training and a support plan, and we report against the metrics we agreed at the start. Then we keep going, because this compounds: the first build unlocks capacity, the second multiplies it. More work through the same team, without more headcount.
We measure the same three things every time: time recovered, capacity added, and cost per unit of work. Not AI hype. Unit economics.
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.
Billing Leakage Calculator
26% of potential billings never reach an invoice
How much revenue your firm loses to unlogged time — and what automated time capture recovers.
Run itTax Season Capacity Calculator
40% less prep time per return · 3× busy-season capacity
Returns and revenue your firm could add next season without hiring, at published automation rates.
Run itDocument Processing Cost Calculator
Manual handling costs $10–$40 per document industry-wide
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
Where does our data live, and who can see it?
Inside your own environment. We deploy on the infrastructure you already run, with role-based access and full audit logging, so sensitive material never leaves your boundary. Your data is never used to train a model — not ours, and not any provider’s. For teams that need it, we deploy fully self-hosted.
Do we have to replace the tools we already use?
No. Everything we build is tool-agnostic and 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.
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.
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.
Do we need technical people on our side?
No. We build, integrate, test and hand over with documentation and training. You need someone who knows how the work actually gets done today — that domain knowledge is what makes the system correct — but you do not need engineers to run it.
Our process changes constantly. Will this break?
Processes changing is the normal case, not the exception, so systems are built to be changed rather than frozen at launch. Workflow adjustments are included through the first 90 days while the system settles into real use, and ongoing changes are handled under a support arrangement we agree up front.
We are not in legal, tax or finance. Do you still work with us?
Yes. Our depth is in regulated industries 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 — intake, document handling, research, follow-up, reporting — the same engineering applies. Tell us where the work is stuck.
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.