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Services

Software Build · From $80k · 8–14 weeks

The build contract has changed. The price hasn't caught up.

AI writes 60–70% of the code. A firm that bills on day rates keeps that saving. We price on outcomes and hand it to you. The Archipelago platform: 16 production SaaS products at $1.1M vs a $4.2M Big-4 quote.

$1.1M vs $4.2M

Archipelago Software platform — 16 production SaaS products, same scope, outcome contract

73%

of code AI-written on the Archipelago engagement — 100% human-reviewed against the eval rig

8–14 wks

typical delivery for a custom software build, compared to 9–18 months on a Big-4 quote

5 gates

on every pull request before a human sees the diff — spec coverage, test, security, performance, trace

Why the price gap exists

AI is writing 60–70% of the code. The cost has dropped to 10% of the 2023 rate card. Who keeps the difference is the question.

A firm that bills on day rates keeps the AI productivity gain. When AI writes 70% of the code, the day-rate firm's costs drop but the invoice doesn't change. The client pays for the hours that used to be needed.

An outcome contract prices the scope, not the hours. When AI writes 70% of the code on an outcome-priced engagement, the saving flows to the client. The Archipelago Software platform — 16 production SaaS products — came in at $1.1M against a $4.2M Big-4 quote. 73% AI-written, 100% human-reviewed. The framework that built it is the same one we bring to every new engagement.

The same scope, three delivery shapes

How the numbers compare.

Dimension Effektiv build Big-4 fixed-price Day-rate firm
Typical 12-week project$160k–$420k all-in$420k–$1.1M$280k–$540k
AI authorship disclosedPer PR, in the traceAggregate at endNot produced
Code ownership at exitYours, in your repoVendor-retained until escrow triggerMixed; depends on contract
Eval rig handoffSource code yours at exitVendor-framework retainedNot produced

How we deliver

Diagnose. Design. Deliver.

Two weeks of listening before a line of code. The price is fixed at the end of Design — not at kick-off.

Phase 1 · 1–2 weeks

Diagnose

We read your stack, sprint history, and AI controls. We map the governance posture and build an evaluation rig shaped to your system. Output: a findings document and an outcome contract your legal team can read in one sitting.

Phase 2 · 1–2 weeks

Design

A build plan shaped to what Diagnose found, with the outcome metric named. The eval rig is specified here — not delivered as a surprise at exit. The price agreed at the end of Design is the price on the invoice. No scope creep billing.

Phase 3 · 8–14 weeks

Deliver

AI agents author at pace. Senior pair from each side reviews every pull request: spec coverage, test coverage, security scan, performance budget. Human sign-off on architecture, security, and any line that touches money or a record of truth.

What you walk away with

Everything ships to your team at exit. No lock-in.

🛠

Production system

Shipped in 8–14 weeks. Outcome-priced. Your repo, your domain, your runtime. No lock-in.

🧪

Eval rig source code

Spec coverage, test coverage, security scan, performance budget, AI authorship trace. Runnable code, yours at exit.

🗄

Authorship trace database

Every code change linked to agent, prompt, model version. Audit on demand for regulated clients.

📒

Architecture decision record

Every load-bearing call documented with reasoning. Audit-ready for governance and procurement.

🎓

Run book and on-call protocol

Your team is the on-call team from day one. We sit alongside you for the first two weeks post-launch.

Quality gates

What the eval rig measures.

Every output passes a multi-gate evaluation before it merges or ships. Outputs that fail do not proceed. The eval rig and all gate code are yours at exit.

  • Spec coverage across the agreed acceptance criteria — threshold 100% before any milestone closes
  • Test coverage on AI-authored code — threshold agreed in Design against your existing standard
  • Security scan pass on every PR — zero high-severity findings before merge
  • Performance budget adherence under load tests — named in Design
  • AI authorship trace integrity — every line attributable to a model run with prompt and version

Eval rig · sample run

Spec coverage across the agreed acceptance critePASS
Test coverage on AI-authored code —PASS
Security scan pass on every PR — zero high-severPASS
Performance budget adherence under load tests — PASS
AI authorship trace integrity — every line attriPASS

Eval rig source code shipped to your repo at exit.

Sample engagement

The Archipelago Software platform: 16 production SaaS products, $1.1M delivered against a $4.2M Big-4 quote. 73% AI-written code, 100% human-reviewed against the eval rig. Eight products in production within 14 weeks of the first Deliver sprint. The eval rig and prompt rules shipped with the codebase on day one of handover.

Read the full case →

Compliance posture

ISO 27001 in progress (Q3 2026) ISO 42001 aligned NIST AI RMF mapped IRAP path Q4 2026 Full governance posture →

Other services

Other ways we work with you.

Common questions

Frequently asked questions.

Outcome-priced. Eval rig included.

See what your build costs at AI pace.

Show us a quote you've received or a scope you're working through. We'll price the same scope on outcomes — 40–60% lower than a comparable day-rate engagement — with the eval rig, trace database, and architecture decision record included in the price.