AI agent development company
Anyone can demo the clean request. We build for the other five.
Custom AI agents that take a repeated workflow end to end — on voice, email and WhatsApp, wired into the ERP or CRM that holds the truth. When a check fails, the agent stops and escalates instead of guessing.
One workflow first. Write access only after it passes.
The refusal is the feature. A guessed order costs more than the typing it saved.
What we build
Not a chatbot on your website. An agent that does a job your team is doing by hand today, in the systems where that job actually lives.
Read purchase orders and requisitions out of prose and PDF attachments, validate every line against customer, material, pricing and credit rules, then raise the document through an approved connection.
Mismatches are held for a person, never posted.Order status, spare parts, complaint intake and qualification. The agent answers from approved data, collects what is missing and hands the exception over with its context attached.
Answered at 23:40, summarised by morning.Follow-ups, document collection, reminders and qualification on the channel the customer already uses, with the same rules and the same escalation path as the other two.
One conversation, one record.How it is tested
An agent that books the valid order is easy. What decides whether it is safe to connect is what it does with the duplicate, the unreadable attachment and the ERP timeout. Those six cases are written up in full, with the expected decision and whether a person is involved.
The pack is published against a simulated pilot backend, and it says so on the page — simulated, connector-tested and production results are labelled separately rather than blurred together.
Read the acceptance packCustomer, material, minimum lot, price agreement, credit limit and approval thresholds are plain code with a recorded result. No model gets a vote on whether your rules apply.
A check that cannot be completed stops the action. The sender gets a holding reply naming what is missing; your team gets the escalation with the extraction attached.
Each run keeps the input, every check result, the payload sent or withheld, the reply and who was pulled in. Reconstructing why something happened takes seconds, not a support thread.
Integration
We scope the access path with the team that owns the system. Nothing is granted because it would be convenient.
Pilots run against a simulated backend built to the interface your ERP already exposes. Nothing touches production while the rules and exceptions are still being agreed.
Switching over is a config change, not a rewrite.Connect approved services when the workflow needs current order, stock or customer data. Records that are missing or unavailable route to your team rather than becoming a confident guess.
The answer carries its source.Write access is enabled for one agreed process, after the acceptance pack has been run. Approval thresholds hold the order for a named approver, and the decision is recorded.
An unauthorised write is not possible, not just discouraged.How an engagement runs
Bring a sample of the work that keeps coming back. We map the data, the exceptions and the handoff before anything is built, and you get the build cost, the running cost and the launch plan before work starts.
Read a deployment write-upShare real examples: the emails, the call reasons, the follow-ups. Agree what success looks like and how it will be measured before a line is written.
Which checks are absolute, which have thresholds, who approves what, and what happens when a system is down. This is the build; the rest is plumbing.
Against a simulated backend first, then your sandbox. Write access follows the pack, not the other way round.
The first weeks are about the cases nobody predicted. The run log makes them findable, and the rules get tightened from real traffic.
Before you start
An agent that completes a repeated business task end to end: it receives the work, reads the request, checks it against your rules and data, performs the permitted action in your systems, replies, and escalates what it cannot complete. The build is the integration, the rules and the failure handling. The conversation is the smallest part.
A platform gives you a builder and leaves the workflow, the master data, the approval rules and the exceptions to you. We scope one workflow with you, connect it to the systems that hold the truth, and run it. If a platform already fits your process, a platform is cheaper and we will say so.
Yes, through scoped permissions agreed with the team that owns the system. Read access and write access are separate decisions. Pilots can run against a simulated backend so nothing touches production while the rules are still being agreed.
Validation is deterministic code against your rules, not a model’s judgement, and a failed check stops the action rather than degrading it. We publish the six cases an order agent has to pass before it is given write access, including duplicate messages, unreadable attachments and system timeouts, so you can run them yourself.
Voice, email and WhatsApp, in English, French, Italian, Hindi and 20 more Indian languages. The languages for a given deployment are agreed and tested with your own terminology before launch rather than assumed from the list.
With one workflow and a sample of the real work. We map the data it needs, the exceptions it will hit and who owns each handoff, then propose the build cost, the running cost and the launch plan before work starts.
Start where it repeats
The emailed order. The status call. The follow-up nobody sent. We will tell you whether an agent fits it — and when it does not.
Scope a workflowA short qualification form first. A discovery call if there’s a fit.
Prefer email? hello@voxdonna.com