HOW WE WORK TOGETHER

One senior pod. One outcome. You own everything.

Forward Deployment Engineering only works if the commitment is clear from day one. Here's exactly what embedding looks like: who shows up, what we ask of you, and what you walk away with.

Request a Demo See the PRISM framework

THE POD

Who shows up.

A small, senior team deployed against a single outcome. No benches, no layers, no juniors learning on your project.

LEAD FDE

Lead Forward Deployment Engineer

Owns the architecture and the relationship, sits in your standups.

AI/ML ENGINEERS

Applied AI/ML Engineers

Model selection, agentic systems, MCP, evals.

PRODUCT ENGINEER

Product Engineer

The application, the interface, the integration surface.

Embedding is a two-way commitment.

Access to the relevant data and systems. A single business owner who can make decisions. One clearly scoped use case to start. We sharpen scope in three days, not a months-long discovery phase.

Access to data and systems

Real data sources, APIs, and credentials. Messy is fine. We will shape it into something agents can use.

A single business owner

One person who can approve changes, sign off on production, and unblock the pod when they hit a policy or access issue.

One clearly scoped use case

We prove the model on a real workflow before expanding. We will sharpen the scope together in the first three days.

Commitment to the six-week sprint

PRISM runs fast because we don't pause. If the pod is blocked waiting for approvals or access, the timeline slips.

Scoped, transparent, and in your environment.

SCOPED

Scoped to one use case first.

We prove the model on a real workflow before expanding. Momentum comes from shipping something live, not from a broad roadmap.

YOUR ENV

In your environment.

Your repos, your cloud, your tooling, your security posture. We adapt to how you already work.

TRANSPARENT

Transparent throughout.

You see progress continuously: working software over status decks.

Everything. And the capability to extend it.

The code, the infrastructure, the model choices, the evals, and the documentation. We deploy on your cloud and hand over a system your own team can run and extend. The goal is to transfer capability, not to create dependency. A successful engagement is one where you need us less over time, not more.

All source code and configuration, versioned in your repo

Infrastructure deployed on your cloud or on-prem

Evaluation harnesses and test suites to validate changes

Observability dashboards and alerting for production

Complete documentation: architecture, runbooks, handoff guides

Your team trained on how to extend, debug, and scale the system

ENGAGEMENT ECONOMICS

What an engagement looks like: the shape.

Scoped build

Fixed first-use-case window of ~6 weeks. One senior pod, one outcome, your cloud.

Run & maintain

Optional ongoing partnership. We keep the system healthy as models, data, and regulations change.

You own everything

Code, infra, documentation, model choices. Capability transfer, not dependency.

We work within your SOC 2, HIPAA, and data-residency requirements. BAAs where applicable. Built for the audit from day one.

Request a Demo

After the first system is live.

The same pod can move to the next workflow, convert legacy REST/SOAP/GraphQL APIs into MCP tools, and extend AI across the organisation. Each cycle ships something real.

Next workflow

The pod moves to the next scoped use case. Each PRISM cycle ships another production system. Most transformations happen this way: a series of focused six-week sprints, each one earning the next.

Legacy API-to-MCP conversion

Convert existing REST, SOAP, and GraphQL APIs into MCP tools so your agents can call them natively. This unlocks enterprise data for AI without rebuilding your entire backend.

Clear scope. Fixed timeline. You own everything.

One senior pod, one scoped use case, six weeks to production. No long contracts, no dependency — just a working system on your cloud.

Scope Your First Use Case