Deterministic. Auditable. Priced with your own rates.
Prepared for Sean Muscat, Alectrite Electrical Services.
From our discovery meeting we found that your estimating function is the principal constraint on the business: a standard quote absorbs approximately six hours of senior time, larger tenders up to a week, pricing knowledge sits almost entirely with the owner, and quoting capacity is capped at roughly ten quotes per week against a target of twenty. You had already validated the underlying concept yourself — an AI producing the correct cable size and maximum demand to AS/NZS 3000 from one of your switchboard schedules. Phase 1 develops that into a working estimating platform: deterministic, auditable, priced with your own rates, and with a reviewer in control of every number that reaches a quote.
Following the pilot build, we have run three of your real jobs through the platform — JEC Air priced to the cent against your own itemised build-up; Coles Waratah processed blind end-to-end; and Mount Druitt PCYC, where blind machine counts matched your quantities 8-for-8 and repriced to your own costing to the cent (§2).
This document sets out the discovery findings the project is scoped against (§1), the results already achieved on your jobs (§2), the platform being developed and where the investment goes (§3), the working demonstration you will be given (§4), the delivery milestones (§5), data security and governance (§6), the commercial terms (§7), the stages beyond Phase 1 (§8), what we need from you (§9), and the success criteria (§10).
From our discovery meeting of 6 July 2026, we identified the following operating constraints. Each maps directly to a platform capability in §3.
The core engine has been developed and demonstrated in operation. All results below were produced on Alectrite job packages — your own drawings, schedules and pricing structures, not demonstration data.
Full end-to-end run · ✓ Proven
Blind end-to-end run · ◌ Indicative
Blind reproduction · ✓ To the cent
Phase 1 delivers one system: job package in, reviewed and priced quote out. The proven engine in §2 is the foundation; Phase 1 builds it into the complete platform below — the workflow in plain terms first, then the engineering behind it, so the scope of what you are funding is clear and measurable.
For the technically minded — this is the depth of what is being built and funded. The architecture below is how the platform is actually organised: an orchestrator agent coordinating specialist agents and engines, each with defined tools, with a human gate between the agents and any number that leaves the building.
The platform walkthrough is a live, supervised demonstration of the current build, run on your own jobs and operated by Zero Point — nothing is installed or left running on your side. It serves two purposes: it shows you the working platform at each stage, and it operates as a requirements session — we capture what your team needs at each point of the estimating and take-off process, and the Phase-1 build develops those features with your input.
Phase 1 is delivered in four stages. Each stage concludes with a review at which progress is demonstrated working on your own jobs before the next stage proceeds, and payment is aligned to these stages (§7).
Pilot job selected; rate-card and process-mapping sessions completed with you (§9). We take the job package from there.
Decision point: which job the pilot proves the concept on.The pilot job runs end-to-end: take-off, Drawing QA report, review in the workspace with our principal estimator, and a priced quote with provenance export. Results are assessed against the proof-of-concept criteria (§7).
Decision point: proceed to the Core build on the proven concept.The platform is developed capability by capability, each demonstrated on your jobs at a scheduled job review.
Decision point: each increment reviewed before the next begins.Stages are sequenced by demonstrated delivery rather than calendar dates; at each review you will have full visibility of what is complete, what is next, and expected timing for the stage ahead.
Phase 1 is delivered at a fixed price. There is no hourly billing.
Payment on the Core build is staged against delivery: 50% on commencement, 25% at mid-build, 25% on acceptance at launch. The partner discount is one-time and has a clear basis: Alectrite is our first electrical-vertical partner, and your jobs built the proof base in §2.
Ongoing running costs from launch are $1,500 per month, plus AI usage costs at actuals — confirmed once the completed platform's operating profile is known. Monthly costs vary with usage. There are no usage fees during the Phase-1 build.
The pilot exists to prove, on a job you choose, that your quoting process can be automated end to end. If the pilot identifies that a required capability cannot be automated, the pilot fee is refunded. Where the concept is proven — as the engine results in §2 indicate — development continues on that foundation and the pilot fee is credited in full against the Core build. A decision not to proceed following a successful pilot does not attract a refund; the pilot deliverables — the end-to-end run, the Drawing QA report and the reviewed, priced quote — remain with Alectrite in either case.
Your discovery brief extended beyond quoting. Once Phase 1 is delivered, the following are scoped and priced as their own projects — Phase 1 carries no obligation to proceed with them:
The platform is built from your knowledge of your trade. Much of that knowledge currently exists as experience rather than documented process — so we guide its capture, step by step, and it becomes both the structure the platform runs on and the material the agents are trained against.
Phase 1 is measured against defined criteria, benchmarked to your current process times and validated during the pilot alongside industry data:
The platform is developed around the way Alectrite already operates — your terminology, your pricing structures, your review judgement — rather than requiring the business to adapt to generic software. Phase 1 delivers that foundation for quoting. The same architecture then extends across the business in the next stages (§8): documented workflows and automation in place of head-held process, visibility of every job's status and history, and — as the platform grows — field access, putting job, client and compliance information at your team's fingertips on site. The outcome is a business that is systemised, measurable and resilient: proven workflows, automation and agentic capability, tailored to how you work.