About APF
AI gets interesting when it stops demonstrating and starts finishing things.
Algorithm Afarinan Pars Technology builds AI agents that take responsibility for repeatable business work. We started this company because the gap between what these systems can do and what businesses actually get from them has very little to do with the models — and almost everything to do with how the work is designed around them.
One core, every department
Why we exist
Over the last two years almost every company has tried AI, and most have very little to show for it. Not because the technology failed — because a demo is not a workflow. A model that writes a good reply has changed nothing until it is connected to the inbox, allowed to act, given rules about when to stop, and pointed at work that actually costs money. That connecting work is the job. It is what we do.
We start from the work, not the technology
Every engagement begins with the unglamorous question of where your team's hours currently go. Not which model to use, not which framework — which twenty minutes happen forty times a week. The answer determines everything else, and it is why we sometimes recommend against a project that would have been perfectly enjoyable to build.
Control is a feature, not a limitation
An agent with unlimited authority is not more advanced, it is less deployable. We design permissions, approval points and escalation paths first, because they are what makes it possible to put an agent near real customers and real money. Companies that skip this step get one impressive month and then a quiet incident that ends the programme.
We would rather be honest than booked
Some processes should not be automated. Some are too rare to matter, some have no stable rules, and some are the human relationship that the customer is actually paying for. We say so. Telling a company its favourite idea is a bad first project is a worse sales meeting and a much better business.
Built to be handed over
You own the agents, the configuration, the integrations and the accounts. The systems are documented and the logic is legible, because a workflow only one supplier understands is a liability, however well it performs. Our long-term value is the next workflow, not your dependency on this one.
Control
Automating execution is not the same as losing control.
The first question every serious buyer asks is what happens when the agent is wrong. Here is how we answer it before it happens.
It can only touch what you allow
Every tool and every action is granted explicitly. An agent that reads your helpdesk cannot suddenly email your customer list.
Sensitive actions wait for a person
Discounts, refunds, anything contractual, anything irreversible — the agent prepares it, a human approves it.
Uncertainty escalates, it does not improvise
When a case falls outside the rules, the agent stops and hands it over with the full context attached.
Everything is on the record
What ran, what it read, what it changed, and why. You can audit any case after the fact.
You choose how much autonomy
Start with the agent drafting and a person approving. Widen it only once the workflow has proven itself.
Failure is designed, not discovered
When a tool is down or an input is malformed, the defined behaviour is to escalate — never to guess and act.
What would your team stop doing by hand, if it could?
Tell us about one process. We will tell you whether an agent can carry it, what it would take, and whether it is worth doing at all.