Tell us the workflow that costs your team the most time. We map it, show you exactly which steps an agent can run, and put a test run in front of you before you spend anything. If it holds up, we build the agent that handles the whole routine end to end, pausing for a human where the decision actually matters.
Most companies have the right software. What they do not have is anything that bridges the gap between those systems: reading a trigger in one place, checking the data in another, moving it to a third, assembling a document, and completing the action. That short chain of steps is where a large share of operations time goes, and it is exactly what an AI agent is built to run.
Unlike rule-based automation, an agent reads and reasons at each step. It handles the varied formats, the missing fields, the edge cases that break a traditional script. We start with a free audit on your real workflow so you can see what it can take on before you spend anything, then we build and connect it to the tools you already use.
No long procurement, no platform to buy, no new software to train everyone on. The audit maps your workflow, the test run proves it, and the build connects the agent to the tools you already use.
Walk us through the routine that costs the most time: every step, every system it touches, and the three or four places where a person makes a real decision. That is the audit.
We identify which steps an agent can handle, which need a human approval point, and what the right action is at each one. You see the map before we build anything.
We run the agent on a real example from your workflow so you can see it move through each step, pause at the approval points, and produce the outcome.
Once the test holds up, we connect the agent to your production systems, configure the human approval steps, and turn it on. The run log is there from the first run.
Most workflows are a version of the same three things. The agent handles all of them, across the tools you already use, without anyone retyping or copying.
The agent reads a record in one system, validates it against your rules, and writes or updates it in another. No copying, no transcription errors, no one forgetting a field. Exceptions that fail validation are flagged and routed to a person.
The agent pulls the numbers, names, or content from the right places and produces the document or report to the right template. The output lands where it needs to go, without anyone opening a spreadsheet or a template to build it by hand.
Order entry, account provisioning, reconciliation, status updates: the agent works through the full sequence of steps, pausing at the points where a human approval is designed in. Everything is logged so nothing is opaque.
Want the depth? How the agent reasons at each step, how human approval points are designed, how observability works, and what makes a workflow a good candidate are all broken down in the complete AI automation guide.
Every run produces a full log: the trigger that started it, the numbered steps the agent took across each system, the approval that was requested and granted, and the final outcome. Nothing is opaque, and nothing is silently skipped.
The card on the right is illustrative. Your run log reflects your workflow and your systems.
trigger: new order received in CRM (order #8847)
step 1: read order fields from CRM [ok]
step 2: validate against product catalogue [ok]
step 3: check stock level in ERP [ok - 42 units]
step 4: create ERP sales order [ok - SO-2026-8847]
step 5: generate order confirmation PDF [ok]
approval: send confirmation to customer?
requested: 14:02:11
approved: 14:03:44 (ops@company.com)
step 6: send confirmation email [ok]
step 7: update CRM deal stage to "confirmed" [ok]
outcome: order confirmed, ERP updated, CRM synced
The pattern is the same across every company: a sequence of steps that crosses two or three systems, runs the same way most of the time, and falls on whoever is around. A few of the most common:
| Workflow | What the agent does | Outcome |
|---|---|---|
| Order entry | Read the order, validate it, key it into the ERP, confirm with the customer | Hours of typing removed per day |
| Employee onboarding | Create accounts across systems, assign access, send welcome materials | Day one ready before the person walks in |
| Report assembly | Pull the numbers from the right sources and build the report to the template | A report, generated, not hand-built |
| Reconciliation | Match records across systems, flag the gaps, route exceptions to a person | Only the real exceptions reach a person |
| Data sync | Keep two systems in step when a record changes in either one | No more copy and paste between tools |
The audit is always free. After that you pay for the build and the operation. The exact number is scoped after the audit, because it depends on your workflow and your stack.
AI automation is a development and integration engagement, which is the work we are built for. A few case studies that map closely:
Automating multi-step project management workflows across field and back-office systems.
End-to-end contract processing from intake through to review and filing, without manual steps.
Connecting plant data to ERP and reporting workflows to remove manual data entry and handoffs.
Tell us your work email and which workflow is costing your team the most time. We reply within 24 hours to set up the audit. It is free and you keep the workflow map.
Two fields. We do the rest.
A free audit on the routine that eats the most hours, the steps mapped, the agent designed. Then we build it and put it to work.
Get a free workflow audit