Business Process Automation
AI agent development services for the processes your business runs every day
An agent is a step of a process, not a product of its own. As an AI agent development company, we build custom AI agents where a step needs judgment, wire them into the systems you keep, and route what they are unsure of to a person on your side.
The situation
An agent demo that never reached the process
The demo answered every question in the meeting. A quarter later it still runs in a sandbox, because nobody decided which step it owns, what it is allowed to change, or who looks at the answers it is unsure of.
Where enterprise AI agents earn their place
In a mapped process most steps need plain rules. An agent earns a step where a document has to be read, a case has to be classified or a reply has to be drafted, and the plan says which steps those are and why.
Who approves what an agent decides
Decisions below a confidence threshold, and every exception, go to a person on your side. Every model decision is logged with its basis for audit, and the threshold and the routing are agreed with the process owner at the start.
Custom AI agents built into the systems you keep
In custom AI agent development, the engineers who map the process build the agent and wire it into your systems. The code is yours, with no per-bot or per-seat licenses, and each release is authorized by one accountable person on the Artkai AI SDLC.
Agent, rules or leave it alone
Most steps of a process need plain rules, and some should not be touched at all. We mark every step of the process as AI, rules or leave alone, with the cost of each step today beside it, so an agent is built only where a step needs judgment.
For each step an agent owns, the confidence threshold and the routing of its exceptions are agreed with the process owner. Anything below the threshold goes to a person on your side, and every decision the agent makes is logged with its basis for audit.
Agents at work in projects we have delivered
At a US health-tech company, agents on the Artkai AI SDLC reviewed each application of an acquired portfolio, asked targeted questions and reverse-engineered the product logic, then gathered and validated requirements. The validated requirements went to the next step, where agents turned them into structured test cases.
One process mapped before any agent is built
The first step is One process mapped: up to two weeks, two people from our side. From your side we need the process owner and access to the systems the process runs through.
At the end you hold a map of the process and its systems, the cost of each step today, every step marked AI / rules / leave alone, an automation plan with sequencing, and an estimate of effect and timeline. For an agent project, the steps marked AI are the ones an agent would own.
Questions
What is the difference between an AI agent and automation?
Automation runs a step by rules. An agent handles a step that needs judgment, such as reading a document or drafting a reply, and hands what it is unsure of to a person. Most steps of a process need rules, not an agent.
How do you stop an agent acting on a wrong answer?
Below an agreed confidence threshold the agent does not act: the case goes to a person on your side, and every decision it does make is logged with its basis.
Where does an AI agent project start?
With one of your processes mapped, the same first step as Business Process Automation. The map marks which steps need an agent, which need rules and which should be left alone.
Do you offer agentic AI development services?
Yes. Agentic AI development services here start with one mapped process. An agent is then built for the steps that need judgment, and every exception goes to a person on your side.
How does enterprise AI agent development work with you?
Enterprise AI agent development services follow the same plan as any project here: map one process, build the agent for the steps that need judgment, and agree the confidence threshold with the process owner. As an agentic AI development company, we log every decision for audit.
What are AI agents for business?
In a business process, an agent is a step handled by a model: it reads a document, classifies a case or drafts a reply, and hands what it is unsure of to a person on your side. The rest of the process runs on rules.
Can you build custom AI agents into the systems we already use?
Yes. The engineers who map the process build the agent and wire it into the systems you keep. The code is yours, with no per-bot or per-seat licenses.
Have you built AI agents before?
We run agents in our own delivery: at a US health-tech company, agents on the Artkai AI SDLC reconstructed product logic from legacy applications and turned validated requirements into test cases.
Related
Business Process Automation
We redesign a manual business process and build its automation into the systems you already run: AI where a step needs judgment, plain rules where rules are enough, a person where a person should decide.
AI MVP Development
When the agent is part of a new product rather than a step of an existing process.
Artkai AI SDLC
The method every agent release is built and authorized on.
Start with a call
A 30-minute call with someone who has delivered this kind of work — sales and an engineer together.