Operations agents
Work through queues of orders, tickets or claims, and hand the odd ones to a person.
We build AI agents that do actual work. They read the request, make a plan, use your systems and get the job done, and they ask a person before doing anything that matters.
A chatbot answers questions. An agent takes the next step: it checks the order, books the courier, updates the CRM and tells the customer what happened. That’s the difference, and it’s also where most AI projects get stuck, because acting inside real systems takes careful engineering.
That engineering is what we do. We start from one workflow that costs your team real hours, build an agent around it and put it in front of real users early. Then we measure what it gets right, fix what it gets wrong and widen its job only once it has earned it.
Work through queues of orders, tickets or claims, and hand the odd ones to a person.
Answer, book and update on WhatsApp, chat or email, using live data rather than a script.
Read contracts, invoices and forms, pull out what matters and route it to the right place.
Agents that call your ERP, CRM, courier or payment APIs through permissions you control.
Limits on spend, retries and loops, and a person approves anything risky before it happens.
Test sets, traces and alerts, so you know how the agent is doing before your customers tell you.
A team of AI agents runs order operations for a multi-courier shipping platform: picking couriers, chasing SLAs and answering customers.
An AI agent books jobs and builds crew schedules for a landscaping business that grew into a full field-service app.
AI contract lifecycle management that reads contracts, flags risky clauses and tracks every obligation and payment that follows.
We look for a task that’s frequent, costly and well understood. That’s where an agent pays off fastest.
Connected to your real systems in a safe sandbox, tested against real past cases.
The agent proposes, a person approves. We track accuracy until it’s good enough to act alone on the easy cases.
Once the numbers hold up, we hand it more of the workflow, or add more agents that work together.
Agentic AI is software that can plan and act toward a goal instead of only answering a prompt. An AI agent breaks a task into steps, calls tools and systems to carry them out, checks the result and tries again or asks for help when something doesn’t look right.
A chatbot replies. An agent acts. It can look up an order, change a booking or update a record, within the permissions you give it, and it keeps track of a task over several steps.
Each agent gets only the access it needs. We set hard limits on spend, retries and loops, log every step and send risky actions to a person for approval. We also test agents against past cases before they touch live work.
Whatever suits the job. We use large models like Claude and GPT for hard reasoning, and small or open models like Llama when speed, cost or privacy matter more. Many agents mix both.
It depends on the workflow, your data and how many systems the agent has to talk to. After a free 30-minute call we send a written plan and estimate, usually within a week.
Yes. Most of our agents sit on top of systems clients already run, such as ERP, CRM, courier and payment platforms, and work through their APIs.
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