AI systems that run your back office 24/7
Built and operated AI agent platforms for a multinational retail group before doing this independently.
Fractional AI operations for owner-led businesses in the UAE and beyond. Everything runs on infrastructure you own, with AI processing under your own account, never ours. Not a chatbot, not a report full of recommendations: working systems, operated and monitored, by a person who answers the phone.
Three steps, no lock-in
Teardown
Walk us through one workflow that eats your team's mornings. You leave with a sketch of what an automated version looks like, plus a first-pass roadmap of everything else worth automating. That's yours whether or not we work together.
Diagnostic Sprint
The deliverable is not a slide deck. It's:
- One working automation running on your real data
- Your teardown roadmap, ranked into a priority plan
If it's not useful, you'll know by week two.
Operations Retainer
We build and operate your AI stack: scheduled runs, monitoring, dead-man alerts, and a monthly report of everything the systems did. Cancel monthly.
Systems we build
Every system below is available now. Same engine underneath, a different configuration on top.
Matching exceptions report
A folder of supplier invoices becomes a morning report: price variances vs PO, duplicates, VAT errors, quantity mismatches, with the dirhams at risk on each line.
Tender brief & BOQ comparator
A 40-page tender pack becomes a 2-page brief before your estimator's first coffee: every onerous clause quoted verbatim, BOQ priced against your historical rates.
Quote drafting engine
Enquiry email in, draft quotation out, built on your own historical rates and lanes. Hours of turnaround becomes minutes.
Claims & reputation desk
Insurance-rejection pattern reports that show exactly which claim types leak revenue, plus drafted responses to every patient review.
First-draft engine
Proposals, engagement letters and document reviews drafted from your own precedents; your associates edit instead of starting from blank pages.
The one that eats your mornings
If a process involves documents in, judgement in the middle, and a report out, it's probably automatable. That's what the free teardown is for.
…and the rest of the back office
Same engine, different documents. Each of these is a configuration of the same pipeline: weeks to stand up, not months.
Watch it run
$ steadystate run invoice-exceptions ⏺ ingest 12 invoices · 10 open POs ⏺ extract 12/12 → structured JSON · AI reads ⏺ decide deterministic checks · no LLM in the path ⚠ INV-2044 duplicate invoice number AED 17,640.00 ⚠ INV-2047 missing PO reference AED 9,135.00 ⚠ INV-2041 price variance +13.2% vs PO AED 1,000.00 ⚠ INV-2049 qty 480 billed vs 450 on PO AED 975.00 ⚠ INV-2052 VAT 544.00 shown · 294.00 due AED 250.00 ⏺ render report.html · 5 exceptions · AED 29,000.00 at risk ⏺ deliver 06:00 inbox · dead-man check-in ✓ ✓ done in 58s · 12/12 documents · zero false alarms
How this is different
- 01 AI extracts. Code decides. AI reads your documents; every number, exception and price is computed by deterministic logic you can audit. No AI judgement in the decision path.
- 02 Your infrastructure, your data. Systems run on machines and accounts you own; AI processing runs under your own AI account with contractual no-training terms, or fully on-premises for sensitive work. Nothing is held on our servers. There are no "our servers".
- 03 Operated, not handed over. Software that nobody watches quietly breaks. Every system ships with monitoring and a dead-man switch; if a job doesn't run, we're paged before you notice.
- 04 One person, accountable. No account managers, no subcontractors, no deck-then-disappear. The person who built your systems is the person who answers when something matters.
Fair questions
We already tried ChatGPT.
ChatGPT is a chat window: someone has to sit there and prompt it. We build systems that run without anyone prompting them: every morning, on schedule, monitored, with output that lands in your inbox.
What about our data? It's sensitive.
Everything runs on infrastructure you own: your machines, your accounts, your keys. AI processing happens under your own AI account with contractual no-training terms, and for genuinely sensitive documents there's a fully on-premises option where nothing leaves at all. Every data path goes in the contract.
We have an IT person.
Good, keep them. Your IT person keeps things running day-to-day; we design and build the systems, then train them on it. We're not replacing anyone; we're giving your existing team leverage.
How do we know it keeps working?
The same way we know: monitoring with a dead-man switch on every scheduled job. If a run fails or doesn't start, we get paged. You get a monthly report of everything the systems did: runs, exceptions, and what they're worth.
Isn't this expensive?
Hiring an administrator buys you one pair of hands, eight hours a day. A retainer is systems working around the clock across several departments, and you can cancel monthly. The Diagnostic Sprint exists so you can see the value on your own data before committing to anything ongoing.
Why you and not an agency?
Agencies hand you a deck and a rotating subcontractor. We've built and operated this exact class of system inside a multinational retail group: data pipelines, autonomous agents, monitoring, the unglamorous parts that make it reliable. And we're the ones who answer the phone.
Bring us the workflow that eats your team's mornings.
45 minutes, free, no deck. Walk us through it and leave with a sketch of the automated version. Keep the sketch either way.