AI Assessment
Ten days, one plan, then the engineers arrive.
See the AI AssessmentForward-deployed AI engineering pod. Engineers inside your business, building on the systems you run.
Webaroo's FDE Pod is a pod of forward-deployed engineers who work inside your company and put AI to work on the systems you already run. A small pod is an FDE lead and two engineers.
Ask Roo: Is our problem big enough for a pod of forward-deployed engineers?
Your team / The pod / Production
- Built for
- Mid-market companies in manufacturing, logistics, insurance, construction, banking, and healthcare operations, with a workflow or margin problem too big for a single build and too specific for off-the-shelf software
- Time to live
- Checkpoint at day 90 for a small pod or day 120 for a large pod.
- How it is priced
- A monthly fee on a 12-month term, quoted on a call after the assessment
- Pairs with
- AI Assessment, Workflow Agent, Document Intake
Shipping to production.
A small pod is an FDE lead and two engineers, on your backlog, a shared list of work you can see. A person approves anything that touches money or access.
Engineers on your backlog
An FDE lead and two engineers, on your backlog. You set the priorities, and the pod ships them. Our CTO has scaled consumer platforms to 10M+ daily users and 65M requests a minute.
Your team “Can the pod join our Tuesday ops meeting and take the AP backlog?”
Every request becomes a written ticket
Every piece of work is written down where you can see it. A verbal ask becomes a ticket before anyone builds it.
Your team “Add this to the backlog: a daily report of unbilled jobs.”
A person approves what touches money or access
The engineers build with AI agents, automated tests check every change, and a named person approves any change that touches money or access. Every step is logged.
Your team “Who approves the change that touches the payment run?”
Measured at the checkpoint
At day 90 or day 120 the work is measured against the number from the assessment, such as hours a week or days to close the books. You see the result, not a status deck.
Your team “Where are we against the number from the assessment?”
Free bug fixes
Defects in what we build are fixed at no extra cost for the 12-month term.
Your team “Something you built last month has a bug. Do we pay to fix it?”
Examples are illustrative
What ships, and what we keep running.
The pod puts working software into production on the systems you already run. After launch, our dedicated support and maintenance team runs what it ships, with runbooks your team can follow.
You get
Delivered over the 12-month term.
- A named pod: a pod lead and forward-deployed engineers, sized small or large to the problem
- A shared backlog you can see in real time
- Working software in production on the systems you already run, with automated tests in place before the first fix lands
- Runbooks your own team can follow: deploy, roll back, restore, change a password or access key, and what to do when a system goes down
- A checkpoint where the work is measured against the number from the assessment
We run
Every month, for as long as it is live.
- Monitoring of everything the pod ships, from go-live
- Testing with evals (tests on your own real cases) before every change
- Cost caps and model changes on every agent the pod ships
- A quarterly board report
- Payment run change held at reviewThe approver asked for a rollback step. Corrected and tested again before it went live.Corrected
- Daily report of unbilled jobsTests passed. Approved by the pod lead and live in production.Approved
- Access request for the bank portalSent to your controller. Access stays with your team. Handoff.Handoff
Measured at day 90 or 120.
A 12-month term, with a checkpoint at day 90 for a small pod or day 120 for a large pod.
Week 1
Kickoff
You meet the pod lead. The backlog is seeded from the assessment, and the capacity plan is published so you know what ships when.
Day 90 or 120
Checkpoint
The work is measured against the number from the assessment. You decide what the pod builds next.
Month 12
Term ends
Your team has the code, the tests, and the runbooks. Renew the pod, add a second one, or take the handoff and run it yourself.
How it is priced
A monthly fee on a 12-month term, with a checkpoint at day 90 for a small pod or day 120 for a large pod. No hourly billing.
Half the assessment fee is credited, only toward a 12-month contract.
The plan first, then the build.
The pod is measured against the number from the assessment.
Workflow Agent
When one countable workflow is the whole problem, a single build beats a pod. The pod is for when there are several.
See Workflow AgentDocument Intake
When the first workflow starts with documents keyed by hand: invoices, orders, or forms read and checked before anything posts.
See Document IntakeOne ticket, from request to runbook.
The same pod, three businesses. Pick one and follow a ticket from the request in your team meeting to the runbook your team keeps.
Week 1Week 2Week 3 to 4Month 2 to 3Day 90 checkpoint
- BacklogDaily log photos to a structured site report
- In reviewSubcontractor invoice match to purchase order
- Runbook: restore the project document store
- In productionChange order approval gate: PM signs before posting
- Change order intake: email and PDF to a record
- Automated tests on the project management integration
01Request
A change order arrives three ways
Superintendents forward emails, subs send PDFs, and some changes only live in texts. The ticket in week one: one intake path, every change order as a record in the project management system.
02Knowledge
The pod learns the cost codes
The engineers read the current change-order log, the cost code list, and the approval rules the office already follows. The rules go into the ticket, not into someone's head.
03Action
Intake ships, with a gate
Email and PDF change orders become records with the right cost code. A project manager approves each one before it posts. A person reviewed the change that touches posting, and automated tests checked it.
04Handoff
The office runs it
Runbooks cover restore, rollback, and what to do when the sync stops. The approval rules and the log are written down where the office can read them. The next ticket on the board is invoice matching.
Week 1Week 2Week 3 to 4Month 2 to 4Day 120 checkpoint
- BacklogCovenant report draft from monthly statements
- Exception queue aging report to Slack
- In reviewApproval gate on ledger postings
- Runbook: change an access key, revoke access
- In productionAudit log export to the compliance system
- Statement ingest, ledger match, exception queue
01Request
Reconciliation takes a week every month
Statements arrive from several sources and an analyst matches them to the ledger by hand. The ticket: match automatically, queue the exceptions, and leave a trail an auditor can read.
02Knowledge
The pod maps the perimeter first
Before any code, the engineers document which systems hold the data, who may see it, and what may never leave the network. The data pipeline is built inside those lines.
03Action
Matching ships, posting waits for a person
Statements are ingested, matched to the ledger, and unmatched items land in an exception queue. Nothing posts until a named approver confirms. Every decision is logged with who made it.
04Handoff
The auditor reads the log
The log exports to the compliance system. Runbooks cover changing access keys and restoring from backup. The operations team owns the queue and the rules.
Week 1Week 2Week 3 to 4Month 2 to 3Day 90 checkpoint
- BacklogDaily load board summary to Slack
- In reviewCarrier onboarding packet to a checklist record
- Runbook: deploy and rollback the quoting service
- In productionApproval gate on quotes under the margin floor
- Quote request parser: email to a structured lane
- Rate lookup against the carrier table
01Request
Quotes come in by email, answers go out by hand
A dispatcher reads each request, looks up lanes and rates, and types a reply. The ticket: parse the request, propose a rate, and let a dispatcher send it in one click.
02Knowledge
The pod learns the rate logic
The engineers sit in dispatch for a week. The carrier table, the margin rules, and the lanes the desk will not take become written rules in the backlog.
03Action
Every request gets a proposed rate
Each request is parsed into a lane and priced from the carrier table. A dispatcher sends it in one click. A quote under the margin floor cannot go out until the desk lead approves it.
04Handoff
Dispatch owns the queue
The desk runs the approval queue and the admin panel the pod built. Runbooks cover deploy and rollback. Every quote decision is logged with who approved it.
Built for big problems. Too specific for off the shelf.
Mid-market companies in manufacturing, logistics, insurance, construction, banking, and healthcare operations, with a workflow or margin problem too big for a single build and too specific for off-the-shelf software.
Industries
- Manufacturing and distributionOrders read, not re-keyed. Invoices matched before you pay.
- Logistics and freightEvery quote request answered. Every carrier invoice matched.
- InsuranceThe underwriter gets a clean file, not an inbox.
- Construction and field servicesThe paperwork keeps up with the job.
- Banking and financial servicesLoan files checked on arrival. Every approval on the record.
- Healthcare operationsPrior authorizations tracked. Intake ready before the visit.
Playbooks
- Running AI in productionThe launch went fine.
- API integrations for AIThe agent can talk, but the work lives in the ERP, the CRM, the phone system, and the payment processor, and it cannot touch any of them.
- Legacy modernizationYour business runs on a system nobody wants to touch.
- Data pipelines for AIThe agent is ready and the data is not: three systems disagree, the policy it quotes is last year's, and it can read a folder it should never have seen.
- Approval gates for AI actionsAn agent that can write to your systems is a liability the moment it is wrong, and in a finance team it is wrong in front of an auditor.
- Internal tools and admin panelsThe work that runs your company lives in spreadsheets, shared inboxes, and an admin screen someone built years ago that nobody dares touch.
- Testing AI after launchAn agent that passed every test in week three can be wrong in week nine, and nothing on the screen looks different.
Asked before the pod starts. Answered in plain words.
If yours is not here, ask it on the 15-minute call.
A forward-deployed engineering pod, Webaroo's FDE Pod, is a small team of senior forward-deployed engineers embedded in your company. They work from a shared backlog and ship working software to production on the systems you already run.
What a forward-deployed engineer does all weekA small pod is an FDE lead and two engineers, with a checkpoint at day 90. A large pod adds engineers for several systems and a legacy bridge, with a checkpoint at day 120. Both are sized on the first call after the assessment.
Legacy system modernizationA monthly fee on a 12-month term, with a checkpoint at day 90 for a small pod or day 120 for a large pod. There is no hourly billing. Half the assessment fee is credited, only toward a 12-month contract.
Why we don't bill by the hourAt day 90 for a small pod or day 120 for a large pod, the work is measured against the number from the assessment. You see the result and decide what the pod builds next.
Day 90: what a production checkpoint meansYes. The assessment delivers an AI inventory, risk tiers, the top 3 workflows with today's numbers and a 90-day plan. Quoting a pod before the assessment is guessing with your money.
Name one person who owns the backlog and grant access. The pod does the rest and writes down everything it learns so your team can run it later.
You keep the code, the tests, and the runbooks. The runbooks cover deploy, roll back, restore, and changing a password or access key, so your own team can operate the system. Then you renew, add a second pod, or take the handoff.
Put engineers on your backlog. A straight answer first.
The assessment is the first paid step. The pod builds what the assessment found and puts it in production, and our dedicated support and maintenance team runs it after launch.
Book 15 minutes with Connor