We build AI systems that do the work your team shouldn't have to.

Custom automation, AI agents, and document intelligence — built on your data, for your workflow. Shipped across property, legal, finance, sales, and agriculture.

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Official Anthropic Partner

$12M+

Revenue unlocked for clients

Across sales, ops, and document workflows

80%

Reduction in manual processing time

Average across document-heavy engagements

65×

Output per operator

What one person produces with AI vs without

4 wks

Average time to go live

Fixed price, scoped upfront, no surprises

Why scaling gets harder

Why AI & automation is harder to scale than it looks

As organisations grow, processes that once worked start to cost more than they save. The problem is rarely the team. It's the absence of the right system underneath them.

What got you here won’t get you there.

The workarounds that worked when your team was small start to break under volume. Every spreadsheet, every inbox approval, every manual handoff is a process that cannot grow with you.

More tools, more fragmentation.

Adding another app does not add control — it adds another silo. Without a connected data layer, visibility disappears exactly when decisions need to be made.

Activity isn’t the same as output.

Teams can be fully occupied and still underperform on the metrics that matter. Point solutions burn budget without moving revenue, margin, or capacity.

Speed without structure is its own kind of risk.

Deploying AI without governance, audit trails, or data controls creates exposure — especially where decisions carry legal, financial, or operational consequences.

These are the exact issues a free Chronexa audit identifies. Book a free audit →

How we work

We don't build automation.
We build AI infrastructure — and we stay.

Every engagement starts with an audit. We sit with your team, map every workflow, and reverse-engineer how work actually gets done — before a single line of code is written.

Audit first, always.

Before a single line of code, we sit with your team. We map every tool, every touch point, every manual step. We've reverse-engineered entire business operations before most vendors finish their sales pitch. That's how we find where the time and money are actually leaking.

Build what fits. Not what sells.

Sometimes that's n8n. Sometimes it's a fully coded custom system. Sometimes it's just organising what you already have so it can be automated. The technology follows the problem — we don't wedge your workflow into a product that wasn't built for it.

A partnership, not a project.

The first build unlocks capacity. The second multiplies it. We stay — because AI automation compounds. More reports per month. More clients served. More revenue without more headcount. The unit economics keep moving in your favour.

We measure everything the same way: time recovered, capacity multiplied, revenue unlocked. Not AI hype. Unit economics.

How It Works

Our 4 Steps to
AI Automation Success

01
Discovery & Scoping
We map your current workflow end to end — inputs, outputs, edge cases, data sources, and integration points. You get a clear written scope document before any build begins.
02
Scope & Fixed Price
We define deliverables, success metrics, and the project price — no scope surprises. You approve before we write a single line of code.
03
Build & Test
We build and integrate the full automation, run it against real data, handle edge cases, and iterate until it performs against the agreed metrics — before it ever touches live operations.
04
Deploy & Measure
We go live with full documentation, team training, and a support plan. We track agreed ROI metrics weekly and share performance reports so you always know what the system is delivering.

Frequently Asked Questions

We get asked this all the time

What kind of firms does Chronexa work with?

We work with professional services firms in regulated industries: law firms (from boutiques to AmLaw 200-tier practices), CPA and accounting firms, insurance carriers, and financial services and VC/PE teams — primarily in the US, UK, and Canada. Our systems are built around the compliance, audit-trail, and data-sovereignty requirements that apply to these firms specifically.

How is this different from buying an off-the-shelf tool like Harvey or Clio?

Off-the-shelf tools give every firm the same product on a shared infrastructure. We build custom AI systems deployed inside your own environment — your cloud tenancy, your data boundary — so the system is tuned to your specific matter types, billing codes, and document management setup, and your data never touches a shared model. You own the system; we don't hold it over a subscription.

What does "private deployment" mean in practice?

Your data never trains a public model or leaves the boundary you define. We deploy inside your cloud tenancy (Azure, AWS, GCP), an isolated managed instance, or on-premise — whichever your security and compliance team requires. Every AI action, extraction, and decision produces an audit log you can show a regulator or a client.

What systems do you integrate with?

We build into the platforms regulated firms already run: iManage and NetDocuments (DMS), Relativity (document review), SafeSend and Karbon (tax workflow), Affinity and Salesforce (CRM), QuickBooks and Xero (accounting), and custom internal systems via API. The AI outputs flow back into the tools your people already use — not a new platform they have to learn.

What does "fixed-price" mean — and what is the 90-day ROI guarantee?

Before we build anything, we scope the engagement, agree the ROI targets (time saved, cost reduced, error rate), and lock the price. If results don't hit those targets within 90 days of go-live, we continue working at no additional cost until they do — or we refund the setup fee. You will never receive an invoice for scope that was not agreed in writing.

How quickly can we go live?

Most engagements go live in 4–6 weeks. Week 1 is discovery and security scoping. Weeks 2–4 are build and integration against your real systems and data. Week 5 is UAT with your team. Week 6 is go-live with 30 days of active monitoring included. Complex multi-system builds can take longer; we will tell you upfront.

We have never done AI before. Where do we start?

With our AI Readiness Assessment. We map your highest-volume manual workflows, model the time and cost saved by automating each, and produce a prioritized build roadmap — so you make the investment decision with real numbers, not a vendor's pitch deck. Most firms identify two or three workflows that would pay back the entire engagement in under a year.

Real Results