Find where AI pays off
We spend a focused week inside your operation, map how work actually gets done, and pick the places where AI improves speed, quality or decisions.
AI that fits
the way your
business works
Clarus turns AI into something your team actually uses.
We find the right problem, build around it, and stay until it works in practice.
Build it around your work
We connect your documents, tools and data, then build systems that follow your standards — not a generic idea of how your industry works.
Put it into daily use
We roll it out where the work happens, train your people on it, and keep improving performance as your data and requirements change.
What we put AI to work on.
Trained on your documents, policies and history, so answers come from your context instead of the open internet.
Offers, reports, invoices, tickets, email triage — the repetitive work that quietly eats your team's week.
Contracts, PDFs, spreadsheets and inboxes turned into structured data your systems and people can act on.
It lives where your team already works — CRM, ERP, Slack, email, internal apps — not in yet another tab.
Built for teams where the details matter.
Less admin, more billable work
Proposals, reports and client documents drafted from your own precedent.
Professional services
Support that keeps up
Order questions, returns and product answers handled with your catalogue and rules.
Retail & e-commerce
Fewer surprises in operations
Documentation, planning and reporting connected to what is actually happening.
Manufacturing & logistics
Faster review, same standards
Contracts and filings read, compared and summarised — with the source always shown.
Finance & legal
Frequently asked.
How is this different from just using ChatGPT or Copilot?
Those are general tools that know nothing about your company. We build systems around your data, your rules and your workflows, connected to the tools your team already uses — so the output is usable without being rewritten.
We're not sure where AI fits yet. Where do we start?
With a short assessment. We look at how work gets done, where time and money leak, and come back with a shortlist of use cases ranked by effort and impact. You decide what gets built — there's no obligation to continue.
Do we need an in-house AI or engineering team?
No. We handle the build, the integration and the rollout. You give us access to the relevant people and systems; we take care of the rest and train your team on what we deliver.
How long does a project take?
The assessment takes about a week. A first working system is typically live in four to eight weeks, depending on how many systems it has to touch. We ship in stages so you see progress early.
What happens to our data?
It stays yours. We work inside your infrastructure or in an isolated environment, and your data is never used to train public models. Access rules follow whatever you already have in place.
What happens after it's deployed?
We stay involved. We monitor how the system performs in real use, fix what does not hold up, and keep improving it as your data, processes and requirements change.
Tell us what slows your business down.
A 30-minute call, no pitch deck. We'll tell you honestly whether AI is worth it for your case — and what it would take.
- A clear read on where AI fits in your operation
- An honest estimate of effort, cost and payoff
- No obligation to continue