Chatbots answer questions. Agents finish the job. We build AI agents that handle support tickets, book sales meetings, chase invoices and write your reports, working inside your systems with guardrails and a full audit trail.
Trusted by teams worldwide
We do not sell an agent platform and hope you find a use for it. These are the four workflows where agents reliably return more than they cost, and where most of our builds start.
Resolves tickets end to end instead of deflecting them. It reads the order, applies your policy, takes the action and closes the loop.
Works the top of your funnel around the clock: researches accounts, personalises outreach and books meetings straight into a calendar.
Takes the repetitive half of your finance function: matching, chasing and reconciling, with approval gates on anything that moves money.
Answers business questions in plain language and writes the recurring reports nobody enjoys writing, straight from your warehouse.
Most agent projects die between the impressive demo and production. These six disciplines are the difference, and they are where most of our engineering time actually goes.
The agent breaks a goal into steps, picks tools, and re-plans when a step fails instead of stopping.
Typed, validated tools against your CRM, ERP, helpdesk and internal APIs. This is where agents earn their keep.
Retrieval over your real content so answers are current and cited, plus memory that survives across sessions.
Hard limits on what an agent may change, with human approval gates on refunds, payments and deletions.
Test sets built from your real cases, plus tracing on every run so a regression is visible the day it appears.
Several specialist agents working a process together, and a clean handover to a person when they should stop.
One call and we will map your workflows against effort and payback, then tell you which single agent to build first and roughly what it will return. If the honest answer is that you are not ready, we will say so.
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Every phase ends in something you can see and judge. No six-week silence followed by a reveal.
We watch how the work is done today, count the volume and the cost, and pick the one workflow with the clearest payback. You get a fixed price and date.
We define what the agent may decide alone, which tools it can call, where a human must approve, and what "good" looks like as a written test set.
We build the reasoning loop and the tools into your systems, with guardrails and logging from the first commit rather than bolted on later.
The agent runs on real traffic but ships nothing. You compare its decisions against your team's and we tune until the gap closes.
We start on a slice of volume with tight limits and widen as the numbers hold. You keep a kill switch throughout.
Monthly review of escalations and costs, then the next workflow. Agents two and three are always cheaper than the first.
Round numbers so you can budget today. The exact figure is confirmed in writing after a free scoping call, and it does not move unless you change the scope.
Prove it works on one workflow before committing further budget.
For teams past the experiment, putting agents on real volume.
Several agents across departments, with governance your auditors accept.
All tiers include source code, prompts and evaluation sets. You own everything, with no proprietary runtime and no lock-in. Model and infrastructure usage is billed at cost, typically $50 to $600 a month depending on volume. Not sure which tier fits? Take the free audit and we will tell you.
From first workshop to an agent handling real volume.
Typical share of a workflow an agent closes with no human step.
Every decision traced with its reasoning, ready for audit.
Delivered across support, sales, finance and operations.
The workflow is the same shape everywhere. The rules, systems and risk tolerance are not. Tap any sector to see the wider work we do there.
HIPAA-aware agents that never act on clinical judgement alone.
Every money-moving action behind an approval gate and an audit log.
Agents that work inside core banking without touching the ledger unsupervised.
Claims and policy admin where the paperwork is the real cost.
Where support agents pay back fastest, on high ticket volume.
Live operations where a minute of delay costs an order.
Agents wired into ERP, where the paperwork is the bottleneck.
Exception handling across shipments nobody has time to chase.
Speed to lead decides the deal, and agents never sleep.
Admissions and student admin, handled at intake-season volume.
Field operations where reporting eats the working day.
Support and SDR agents running on the same customer data.
“Appther built our student competition app exactly the way we envisioned it: easy registration, smooth judging, and real-time results that keep participants engaged.”
“Building a mental health app means every detail has to be handled with care, and Appther got that from day one. The product feels warm, simple, and genuinely helpful.”
“Appther exceeded every expectation, on time and on budget, and the final product has been instrumental in scaling our business. A rare engineering partner.”
“Implementing an ERP across our operations felt daunting at first, but Appther made the transition seamless. Every department now works off a single source of truth.”
What actually breaks in production, and how we hire and build around it.
The failure modes that kill agent projects after the demo, and how to design around each one.
Which specialist your agent project actually needs, and the order to hire them in.
Finance and inventory agents are only as good as the ERP underneath them. See our Odoo work.
Walk away from one call with the workflow worth automating first, the payback maths on it, a fixed price and a six-week plan. No pitch deck, no obligation.
Tell us which workflow is eating your team's week. We will tell you straight whether an agent is the right answer, and what it would cost.
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