Workflow orchestration
Intake, assignment, checks, approvals, notifications and completion, with one owner at every moment and a status anyone can read.
AI & workflow automation · London
AI automation for London businesses
We connect the forms, inboxes, documents and systems your team moves work between, and put AI only where judgement is actually needed. The result is a process you can see, measure and trust — not a chatbot bolted onto a broken workflow.
- 2020Founded
- Monday to FridayWe work your week
- Written scopeBefore anything is built
- You own itCode, data, infrastructure
Why London
London businesses do not have a technology problem. They have a process problem.
In London the automation that pays for itself is almost never a new system. It is the gap between a CRM, a shared inbox and a case or matter management tool that three teams move work across by hand. Professional and financial services firms here also need every automated step to be explainable afterwards, which is a design decision taken at the start rather than a feature added later.
London is the most competitive buyer of this work anywhere in Europe, which has two consequences. Procurement is sophisticated — expect to be asked about data residency, sub-processors and professional indemnity before anyone looks at your portfolio — and in-house engineering is expensive enough that a bounded external build is often the faster route to a decision. Companies here rarely want a rebuild; they want the gap between four systems closed without disturbing any of them.
Most automation projects fail for the same reason: somebody automated the process as it was written down rather than as it is actually performed, and the exceptions — which is where all the time goes — were left untouched. We start by mapping what really happens, including the parts people handle informally, and we automate the path that costs you money.
What we build
AI & workflow automation, built to be run by your team.
Document intelligence
Tenders, invoices, contracts and forms read into structured fields, with per-field accuracy agreed before the build and anything uncertain flagged rather than guessed.
System integration
CRM, ERP, finance, email and portals connected properly, with a decision on record about which system owns which field.
AI where it earns its place
Classification, extraction, summarisation and next-best-step. Deterministic code performs the action; the model never does.
Human approval built in
A named person approves anything binding, sees the evidence the system used, and that approval is recorded.
Measurement from day one
Cycle time, exception rate and where work is stuck, visible from launch rather than reconstructed later.
Proof you can open
Systems that exist, not case studies that describe them.
Tender Management OS
Email-to-tender intake, AI-assisted document review, controlled assignment and an auditable decision flow.
Open it ↗Customer Resolution Operations
Role-aware resolution with AI next-best-step support, departmental routing and customer-visible status.
Open it ↗We already deliver for UK clients, including the legal practice website at fvollor.com, and we work to UK contract and data protection expectations as a matter of routine.
What good looks like
Four tests any supplier should pass.
If you are comparing suppliers in London, these are worth asking about before the portfolio comes out. They separate a system that will still be working in three years from one that demonstrates well.
- The process is visible: anyone can answer "where is that job?" without asking a colleague.
- Exceptions are routed to a person with the context attached, not dropped into an inbox.
- Nothing binding happens without a human approving it, and the approval is in the record.
- When something breaks, an alert reaches a person before a customer notices.
How an engagement runs
Bounded, staged, and reversible at every point.
- Map
We find the real bottleneck, the owners, the data and the decision the system has to make. Usually three to five days.
- Prove
A fixed-scope sprint on the riskiest part, with a success criterion agreed in writing beforehand and the honest answer at the end — including stop.
- Build
Staged releases, each usable on its own, so the business keeps running while it changes.
- Hand over
Written architecture decisions, a runbook, training, and code your team can read. Support is a separate choice, not an assumption.
What it costs
We publish one fixed price — a fixed-scope AI sprint — and we will not quote a workflow we have not seen. The estimator will give you a phased plan, a timeline band and an indicative size against that price, as a document you can forward to whoever signs.
Working with London
Time zones, handled rather than hoped
London runs four hours behind Karachi in winter and five in summer, so a Karachi afternoon is a London morning. Six hours of overlap every working day, 13:00 to 19:00 Karachi against 09:00 to 14:00 London. Stand-ups land at the start of your day and reviews at the end of ours.
What a build here has to satisfy
Rules that shape the architecture
UK GDPR and the Data Protection Act 2018 apply, and the Information Commissioner's Office expects a documented lawful basis, a data processing agreement with every processor, and a record of where personal data goes. For AI features the question that gets asked first is whether personal data leaves the UK or the EEA when a model is called, so that is designed before anything is built.
Before you call
The questions we get asked first.
Can you automate our process without replacing the software we already use?
Usually, yes. CRM, email, forms, databases and portals can often be connected into a controlled automation layer, depending on what interfaces they expose. Replacing everything is rarely the cheapest route, and we will say so when it is not.
How long before we see something working?
A bounded first release is measured in weeks, not quarters. We would rather put a narrow working version in front of your team early than demonstrate a wide one that nobody has used.
What happens when the AI gets something wrong?
It is designed to be wrong safely. Low-confidence results are flagged, anything binding waits for a person, and every decision keeps the evidence it was based on so a mistake can be found and fixed rather than argued about.
Who owns what you build?
You do — code, prompts, infrastructure definitions and evaluation data. You can take it elsewhere without asking our permission.
Do we need to know what we want before calling you?
No. Describe the part of the business that keeps fighting back. Half of what looks like a software problem turns out to be a hand-off problem, and that is worth finding out before anyone writes code.
Next step
Tell us what is slowing your business down.
Bring the workflow, the product idea or the growth problem. We will tell you what we would build, what we would not, and what it would take — and if the answer is that you should buy something instead, we will say that.
ASTACKRA · 15/5 Block 3D, Nazimabad No. 3, Karachi · +92 313 8168638 · Serving London remotely · Working week: Monday to Friday
AI Automation elsewhere
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