AIJune 23, 2026
01 — Engineering
Fund only what will pay back. Then own it outright.
Engineering closes the leaks the diagnostic finds: first on paper, so you see the return before you spend, then in code. A blueprint without a builder is a deck; a build without a blueprint is a bet.
02 — Engineering Blueprint
Know what you are funding before you fund it. Fixed fee, from $25,000.
Your CFO underwrites it and your CTO ratifies it before any build spend is committed. Most "AI strategy" engagements end in a slide deck and a Notion doc; the Blueprint ends in a specification a senior engineer can build from the day it lands.
You avoid paying for custom work you do not need. Every Blueprint opens with the Build vs. Buy Matrix, and when a tool you already license or a vendor you should sign is the better answer, the Blueprint says so. The fee buys the right answer, not a bigger build.
01
System architecture
— A design that survives your CTO's technical review: the end-to-end architecture of your system, diagrammed.02
Data contracts
— No surprises in production. The schemas, sources, refresh cadence, and integrity constraints, with what breaks if the data does not conform.03
Model selection
— Every model choice defensible: the reasoning model, embedding stack, retrieval layer, and evaluation harness, each with the trade-off matrix that produced it.04
ROI model
— The return in dollars before you commit. Each system's value on a 24-month horizon, net of build cost, run-rate cost, and the cost of doing nothing, in a spreadsheet your CFO can interrogate.05
Build plan
— A build you can track week by week: a 90-day plan with milestones, decision gates, and a named owner on each side, settled before work starts.TimelineThree to four weeks, partner-led.
DeliverableA single signed document.
Your timeNo standing meetings. No sprint ceremonies. No Slack channel that outlives the work.
03 — Custom AI Revenue Systems
A production system in your repository. Yours outright on day 91.
Six places a revenue system earns its keep. Most builds combine several.
01
Pipeline scoring
— A forecast you can defend. A model trained on your win data replaces opportunity-stage gut reads with a probability and the three features driving it.02
Signal routing
— Buyers reached in seconds, not hours: intent signals across your data sources go to the rep, the play, or the sequence most likely to convert them.03
Lead enrichment
— The per-seat enrichment tax, cut. A pipeline pulls firmographic and behavioral signal from sources your stack already pays for.04
Churn detection
— At-risk revenue, seen thirty to ninety days earlier than your CSM team would find it, with a written explanation a human can act on.05
Deal review
— A week of call prep in eleven seconds. Each AE walks in with the brief they would have written given a week, drawn from call transcripts, deal histories, and pipeline state.06
Exec readout
— Sunday nights back: the weekly revenue readout assembles itself from the underlying data, with the same numbers your team would produce.DeliveryNothing lost in translation. The partner-led team that wrote your Blueprint builds the system, forward-deployed inside your estate, on your data and in your repository.
Timeline90 days from kickoff to deployed system, including a two-week stabilization tail.
TransferNo usage fee after day 91. The source, weights, prompts, evaluation harness, and runbook sit in your repository under your license.
04 — What you are not signing up for
Ownership is not retained. The system is yours.
No per-seat or per-call usage fee.
No proprietary platform to rent from us in perpetuity.
No added headcount and no permanent retainer. The engagement ends when the system transfers.
The build is never white-labeled, subcontracted, or resold.
05 — Engagement sequence
You are never locked into the build. The Blueprint is a standalone deliverable you can take to any engineering team. If we build it, we build from our own Blueprint. The full sequence:
01
Run the diagnostic
— Five minutes. Free. Every leak priced.02
Scope the Blueprint
— One call. The system in scope, the timeline, and the fee are agreed.03
Deliver the Blueprint
— Three to four weeks. One document your CFO and CTO can approve.04
Build the system
— 90 days. Fixed fee. You review progress at weekly checkpoints.05
Transfer on day 91
— Source, weights, prompts, harness, runbook — all yours.06 — Questions
What buyers ask before they sign.
01
What is an Engineering Blueprint?
— A signed specification document covering system architecture, data contracts, model selection, evaluation harness, and a 24-month ROI model. Delivered in three to four weeks, fixed fee from $25,000. It is the document your CTO ratifies and your CFO underwrites before the build begins.02
How long does a custom AI revenue system build take?
— 90 days from kickoff to a deployed system, including a two-week stabilization tail. The timeline is fixed at scoping; scope changes require a new statement of work.03
Who owns the system after the build?
— The client owns it entirely on day 91. Source code, model weights, prompts, evaluation harness, and runbook transfer to the client's repository under their license. FusedLabs retains no operational control, no usage fees, and no residual rights.04
Do you maintain a retainer after delivery?
— No. The stabilization tail is inside the 90-day engagement. After day 91, the system is the client's to operate; FusedLabs does not hold a standing retainer on work already delivered and transferred.05
How do you decide between building custom and buying a tool?
— Every scope runs through the Build vs. Buy Matrix — a 2×2 mapping ownership (internal vs. external) against specificity (off-the-shelf vs. custom). FusedLabs delivers in all four quadrants — configure, build, buy, commission — so the disposition is chosen by best fit for the capability. The reasoning and the math ship inside the Blueprint.07 — Insights
Reading from the studio.
Custom AI systems fail at the data layer before they fail at the model layer; these notes cover agentic design, production applications, and the data contracts that make both viable.
