AI-first operations for small and midsize companies
Your best peopleshouldn’t spendtheir week movinginformation betweensystems.
Tradewind turns legacy back-office systems into AI-first operations. We rebuild the workflows behind quotes, orders, invoices, projects, support queues, and reporting so routine processing happens automatically. Sometimes that means deploying an AI agent. Sometimes it means rethinking the ERP itself.
Fixed price Built with your team Managed after launch
A quote, end to end
Illustrative workflow · Representative example
Someone stays in the loop.· In every one of these
“I still make the call. I just don’t do the work around it.”
01RFQ receivedA customer submits a request for 14 line items.Received07:42 AM
02Agent reads specificationsPart details, quantities, terms, and attachments parsed.Complete07:43 AM
03Agent checks ERP pricingAvailability, current pricing, lead time, and constraints verified.Complete07:44 AM
04Needs a human decisionLead time exceeds the policy threshold by two days.Waiting07:45 AM
05Operations manager approvesShe reviews the tradeoff and makes the call.Approved07:46 AM
06Verified quote sentThe quote is written to the ERP and sent.Complete07:47 AM
Before3.2 hours
After8 minutes
11.4 hoursreturned to their week
The reality on the floor
Ask your team. They can name it in ten seconds.
Every operation carries work that runs on patience, memory, and the one person who knows the workaround. The people doing it can tell you exactly what it is.
That spreadsheet only Sam understands.
That inbox someone checks before coffee.
That quote rebuilt from last year’s PDF.
That exception Maria catches because she knows the customer.
People do not resist better tools.
They resist tools built without them.So we start by listening to the people closest to the work.
What we automate first
Start with the work they would hand over tomorrow.
Most operating teams lose time in the same four places. We rank them by dollars, frustration, and feasibility, then start where your people feel the relief fastest.
Re-keying
Stop asking people to be the bridge between systems.
The same order, invoice, claim, or customer record should not be typed twice. Agents can read the source, validate the fields, and post a clean record where it belongs.
Document arrives
Fields validated
Exception reviewed
Systems updated
AgentRead documents, match fields, validate rules, update systems.
Your personReview genuine exceptions and maintain the policy.
Drafting
Start every quote, report, and proposal from the right place.
Agents pull from approved examples, customer context, and live system data to prepare a usable first draft, not a blank page or a generic answer.
Sources gathered
Draft assembled
Person shapes it
Ready to send
AgentGather context, assemble the draft, cite source material.
Your personShape the recommendation, voice, and final decision.
Triage
Let the inbox organize itself before the day starts.
Agents classify new work, collect missing information, route routine cases, and surface the items that deserve an experienced person’s attention.
Request arrives
Priority assigned
Sensitive work reviewed
Work routed
AgentClassify, prioritize, request details, and route work.
Your personHandle ambiguity, relationships, and sensitive choices.
Lookup
Make the answer your team already knows easier to find.
Agents search your approved policies, past work, and operating knowledge, then return a cited answer instead of another link hunt.
Question asked
Sources searched
Edge case checked
Cited answer
AgentFind, compare, summarize, and cite approved sources.
Your personResolve edge cases and keep institutional knowledge current.
What we've built
Turn busywork into an unfair advantage.
Four businesses, nothing alike. Three of these run in production today; one is in build, and each is labelled so you can tell which is which. What they share is the rule. Every one of them stops and asks a person where judgment actually matters.
Reviews engineering drawing sets for licensed engineers. Over 12,400 sets analysed, each finding carrying a citation and a reasoning trail.
The engineer accepts or rejects every finding. Nothing is stamped without them.
In build
An AI-first back office
Professional services
An ERP built around an assistant instead of bolted onto one. A pasted email becomes a project, a task, and a fee proposal; a deterministic engine computes every number.
Nothing is written until someone taps. The assistant reads and drafts; it never sets a fee.
Live
Exception triage
Finance
Classifies an accounts-payable exception, proposes a fix, and routes it to whoever owns the call, with an audit note on every decision.
It recommends. It never pays.
Live
Quote assembly
Manufacturing & distribution
Reads a messy request for quote, matches each line against the catalog, and applies the pricing rules that were already agreed.
Anything it is not confident about is flagged for a person rather than guessed.
Who we build for
Manufacturing & DistributionQuoting, order entry, and the paperwork that moves between systems.
TechSupport triage, onboarding, and the questions your own docs already answer.
FinanceInvoice and exception handling, with the approval left exactly where it belongs.
Professional ServicesProposals, reviews, and the reporting that quietly eats senior time.
How it works
Your team stays in the room.
We do not bolt a chatbot onto a broken process. We work with the people who actually run the operation, redesign the workflow around them, and connect AI directly to the systems where work gets done. AI handles the reading, re-keying, checking, drafting, routing, and follow-up. Your people stay in control of approvals, exceptions, relationships, and the decisions that need judgment.
01
Find it
2–4 weeks · Fixed price
We shadow the process, interview the people who live it, and turn frustration into a dollar-ranked opportunity roadmap.
People decide: Your team names the workarounds, edge cases, and decisions that never made it into a process map.
02
Build it
8–12 weeks · Fixed price
We build one workflow end to end, inside your systems, then run it beside the current process until the evidence is clear.
People decide: Your operators test real work, teach the exceptions, and decide when the workflow is ready.
03
Run it
Ongoing · Monthly retainer
We monitor, maintain, and improve the agent so the automation becomes part of the operation, not another abandoned pilot.
People decide: Your team gets a morning report, a clear escalation path, and a monthly say in what improves next.
Not ready? We will tell you.
About one third of the companies we speak with need cleaner data, steadier processes, or clearer ownership first. We will explain what to fix before you spend on an agent.
The math
Put a number on the work your team carries.
This is a directional estimate, not a promise. The diagnostic replaces assumptions with your process, your systems, and your people’s actual week.
Illustrative annual burden$73,728
1,536 hours spent moving this process by hand.
Potential capacity returned1,106 hours≈ $53,000 of team capacity
Assumes 48 working weeks and 72% of repetitive effort recoverable. Actual results vary by workflow.
Straight answers
The questions people ask when the work is real.
AI is easy to pitch in the abstract. Your team has to live with what gets built, so these deserve direct answers.
No. We start with work your team already considers repetitive, error-prone, or impossible to keep up with. The goal is to return capacity to experienced people and preserve human ownership of exceptions, relationships, and decisions.
Start with the work, not the technology
Show us the process your team wishes would disappear.
In 30 minutes, we can usually tell whether it is a good agent workflow, what the first proof should be, and whether you are ready to build.