AI forward deployed engineering
AI forward deployed engineering, built to run.
A forward deployed engineer works inside your business. They sit with the people who do the work, learn the process and the data, and build the system that replaces the manual steps. TachyonShift engineers then operate what they build, so the result keeps working after launch.
What we deliver
What our engineers build
AI agents
Multi-step agents built around your business rules, with a different model at each step where that is cheaper or more accurate, human review where it matters, and a full audit trail.
Workflow automation
The research, qualification, reconciliation, and reporting work your team repeats every week, encoded once and run consistently.
Applications and data platforms
Web applications, internal tools, and structured data systems with provenance on every record, exports in open formats, and staff workflows for review and approval.
Systems integration
CRM, ERP, ticketing, identity, and data warehouse connections, so the system lives inside your stack and not beside it.
The cloud platform underneath
AWS, Azure, and GCP environments designed for the workload, secured, monitored, and cost-controlled from day one.
Process
How an engagement runs
01
Assess in 60 minutes.
02
Work backwards from the result.
03
Build in weekly cycles on your real data.
04
Verify before launch.
05
Deploy and run under an operating agreement.
06
Review results against the metrics every month.
Buying models
How you can buy it
| Model | Fits when | What you get |
|---|---|---|
| Scoped build | You have a defined workflow and want a working system | Fixed scope, fixed deliverables, accepted at the end |
| Dedicated FDE team | You have a roadmap of AI work | Named senior engineers working your backlog every month |
| Build and run | You want the system to keep working without hiring | Scoped build followed by a monthly operating agreement |
What you receive
- A working system on your data and your systems
- Evaluation tests and a monitoring plan
- Runbooks, documentation, and a handover path
- An audit trail you can reconstruct any decision from
- A monthly results report with denominators and dates
When we say no
We tell you when a project will not pay back, when the data is not ready, or when a simpler tool does the job. A scope that fails costs you more than a hard conversation up front.
Fit
Who it fits
A defined workflow, a business owner, accessible data, and a result you can measure.
Operations and revenue leaders with manual research-heavy work. CTOs and CIOs moving AI from pilot to production. Finance, professional services, and public-sector teams with sensitive information and audit requirements.
Questions
Can we keep our own engineers involved?
Yes. We work beside your team and train them on the system. You choose whether to run it, share it, or hand it over.