FDE-as-a-Service // 30-Day Deployment
One workflow.
Thirty days.
In production.
Every company can now buy intelligence. The advantage is where, how and why it's deployed. We embed a forward-deployed AI engineer in your business and take one workflow from mess to measured production system — in 30 days.
Book a 10-Minute Audit CallActual run log — live client deployment
You don't need
another AI strategy.
Somewhere in your business there is a process chain that eats hours every day: an invoice that gets typed into three systems, a lead that waits for a human to reply, a mailbox someone reconciles by hand.
Everyone tells you AI can fix it. Almost nobody will stand in your operation, trace the workflow end to end, build the system into your stack, and stay accountable until the run logs prove it works.
That is the job we do. It has a name — forward-deployed engineering — and a fixed shape: audit, build, evaluate, deploy. In 30 days.
The 30 days, checkpoint by checkpoint
Every checkpoint produces an artifact you can hold us to
The 10-minute audit call
You tell us which workflow costs the most time or money. We trace it with you — who touches it, what systems it crosses, what a failure costs. Then we pick the target and scope the engagement.
→ AUDIT ONE-PAGERWorking agent
A working agent runs your actual workflow on your actual data — not a demo dataset. You watch it process real items end to end and see exactly where it's strong and where it isn't yet.
→ LIVE RUN + READABLE RUN LOGRecoverable system
The agent becomes a system: retries, failure handling, resumability, and human checkpoints at the steps that need judgement. When something goes wrong, it's flagged and queued — never silently dropped.
→ FAILURE MAP + HUMAN CHECKPOINTSEvaluated system
We run the eval suite: pass rates against real cases, failure categories, cost per run. This is the step almost everyone skips — and the reason most AI pilots never earn trust.
→ EVAL REPORTProduction deployment
The system goes live inside your stack with logging, monitoring and a rollback plan. Your team is trained on the checkpoints. You hold the evidence pack that proves what it does.
→ PRODUCTION SYSTEM + EVIDENCE PACKWhat you hold on day 30
- →The running system, deployed in your environment
- →Run logs — every item processed, skipped or flagged, accounted for
- →Eval report with pass rates and failure categories
- →Cost per run, measured — not estimated
- →Rollback plan and human-override controls
- →Roadmap for the next workflow, priced against proven ROI
Already in production
This is for you if
- →Medium and enterprise businesses with document- and communication-heavy operations
- →Finance, admin, sales, customer ops or compliance chains run on copy-paste and tribal knowledge
- →Leadership that wants production evidence, not another AI strategy deck
This is not for you if
- ✕You want a chatbot widget on your website
- ✕You want a slide deck about AI readiness
- ✕You want to train your team to build this themselves
The Ask
Ten minutes.
Worst case, you leave with a free audit one-pager naming your highest-ROI AI workflow. Best case, that workflow is in production 30 days later.