Operations software with AI inside
The work that still runs on spreadsheets, shared inboxes and phone calls, rebuilt as a system your team will use.
Forward deployed engineering
We put AI inside the work that still runs on spreadsheets.
Zylen embeds senior engineers in your systems, your repository and your working day. Two weeks in, you know where AI pays across every department, and the top one is already built against your real data. Two months in, it is in production and your team owns it.
In your repo In your standup Shipping every week
We work in your systemsWe ship against your real dataYou approve every releaseYou keep the code
Start here
Every department mapped. One problem already built.
Most companies know they need AI and cannot say where. The first week tells you where it pays, ranked by value against difficulty. The second week builds the top one, so you finish holding working software rather than a recommendation.
$4,00010 working days · credited in full against a sprint
If there is no working prototype at the end of day ten, there is no invoice.
Start a Deployment Brief Deployment brief 10 working days
- Days 1–2MapStructured conversations across every department. Where work stalls, what is still done by hand, and what people have quietly built to work around it.
- Days 3–4RankWe turn that into a ranked list, scored on value against difficulty. It includes the problems we would leave alone, and why.
- Day 5ChooseYou and your sponsor pick the first target. We tell you which one we would pick, and where the map disagrees with what we were told at the start.
- Days 6–9BuildReal access to your systems, time with the people who run the chosen workflow, and a first working slice against your real data.
- Day 10Hand overA working prototype, the ranked backlog of everything we did not build, a fixed-price sprint quote, named owners and acceptance criteria.
Delivered work
Three industries. The same problem.
Education, healthcare revenue cycle and waste management look nothing alike from the outside. Each one was a business running its core operation on spreadsheets, paper and phone calls until someone built the system.
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What we deploy
Four shapes of work we take to production.
Different industries, the same underlying problem: the system that runs the business was never built, so people hold it together by hand.
AI workflows and agents
An AI step placed inside a real decision, with evaluations, permissions and a human approval before anything is released.
Data and systems integration
Getting at the data locked inside ERP, CRM and legacy systems, and writing results back to where the work happens.
How we work
Forward deployment is a behaviour, not a job title.
Five things that are either happening on your engagement or they are not. If any of them stops being true, you are no longer getting what you paid for, and you should tell us.
- We work in your systems
- Your repository, your cloud, your accounts. Nothing is built in a private environment of ours and handed over at the end.
- We are in your working day
- Your standup, your Slack or Teams, your cadence. Reachable during your hours, not batched into a weekly status email.
- We own an outcome, not a ticket queue
- Every engagement has one production release, one named owner and written acceptance criteria agreed before work starts.
- We ship weekly against real data
- Working software every week on your own data and constraints, never a demo environment or a spec review.
- We hand it over and leave
- Code, IP, runbooks and system knowledge transfer to your team. The engagement is designed to end.
Engagement models
Published prices. Smallest step first.
Every engagement starts with the cheapest reversible commitment and expands only after a release is working.
Start here10 working days
Deployment Brief
$4,000Flat priceCredited in full against a sprint
Two weeks inside your business. Every department mapped, the opportunities ranked, and the top one already built against your real data. No working prototype, no invoice.
Flagship4–6 weeks
Production Deployment Sprint
$28,000–$75,000Fixed price, set in the briefYour number is agreed before the sprint starts
A senior team takes one workflow through to a production release your team is using. We will not quote a sprint before the brief. Ten days inside your systems turns an unknown into a fixed price you can approve.
Ongoing3-month minimum
Embedded Deployment Pod
From $18,000 / monthMonthly capacityTypically a deployment lead plus two engineers
You are buying a team rather than a scope: a dedicated pod working through a continuing backlog across several workflows, business units or locations.
Straight answers
The questions buyers actually ask.
No. That is the normal starting position, and it is what the first week of the brief is for. You do not need to arrive with a named project. You need a sponsor who can open doors across departments, and the willingness to act on what we find. If you already knew where AI paid in your business, you would not need the map.
Consultants interview a handful of leaders and hand you a deck. We talk to every department, rank what we find by value against difficulty, and then build the top one before you have signed anything else. You end the two weeks holding working software rather than a slide about it.
An outsourced team takes a specification and returns code. We take a business outcome and own it to production. In practice: we work inside your repository and cloud rather than ours, we join your standup rather than sending status reports, we agree written acceptance criteria before any code is written, and we ship working software against your real data every week. If any of those is not happening, you are not getting forward deployment and you should say so.
Forward deployment is defined by where the work happens, not where the chair is. The engineer operates inside your systems, your data and your team's working day, on a weekly production cadence. We travel on site when a workflow can only be understood by watching it in person, and for engagements where that is essential we say so before we start.
The first week goes wide. Days one and two we hold structured conversations across every department about where work stalls and what is still done by hand. Days three and four we rank what we found by value against difficulty. Day five you and your sponsor choose the first target, and we tell you which one we would pick. The second week goes deep: days six to nine we get real access and build a first working slice against your real data, and on day ten you get the prototype, the ranked backlog of everything we did not build, a fixed-price sprint quote and acceptance criteria. If there is no working prototype at the end of day ten, there is no invoice.
You do, from the first commit. Work happens in your repository under your accounts. At handover you receive the code, the runbooks, the evaluation suite and the operating knowledge required to run and change the system without us.
A single workflow typically reaches a production release in four to six weeks after the brief. The constraint is almost never the model. It is system access, permissions and the approval path, which is what the brief exists to find before anyone commits to a delivery date.
The engagement is deliberately staged so that the cheapest step comes first. The brief is ten days and credited in full if you continue. The sprint has written acceptance criteria agreed in advance, so 'working' is not a matter of opinion. If a workflow turns out not to be worth deploying, the brief is where we tell you that.
Every department. Ten days. Fixed price.
Find out where AI actually pays.
Tell us roughly where the business hurts, or that you are not sure yet. That is the usual answer. If it is a fit, we start with a ten-day brief and you keep everything we build in it.