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The case for AI in enterprise software

Why AI? And why does it matter who delivers it?

AI now writes roughly 60% of the code on a well-run software project at roughly 10% of the 2023 cost. The interesting question for a CIO isn't whether to adopt — it's who keeps the saving.

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AI writing 60–70% of code on typical 2026 builds2026 build cost: 10% of a 2023 day-rate cardAU AI services market forecast $1.6B for 2026Big-4 firm refunded AU government · October 2025ISO 42001 + AU AI Voluntary Safety Standard in force25 of 25 surveyed AU firms hide pricing behind a scoping callEliiza absorbed into Mantel Group · 2024AI writing 60–70% of code on typical 2026 builds2026 build cost: 10% of a 2023 day-rate cardAU AI services market forecast $1.6B for 2026Big-4 firm refunded AU government · October 2025ISO 42001 + AU AI Voluntary Safety Standard in force25 of 25 surveyed AU firms hide pricing behind a scoping callEliiza absorbed into Mantel Group · 2024

The shift, in three numbers

Three numbers describe what changed. One question follows from all three.

60%

of code on a typical 2026 build is now written by AI

Given a senior pair to direct it: code authoring, test rebuilds, data migration scripts, eval scaffolds, routine review. The 60% that no longer needs a developer billing at $1,400 a day.

10%

of the cost the same scope carried on a 2023 day-rate card

The cost of AI-augmented code authoring has dropped roughly tenfold since 2023. The savings exist. The question is which side of the contract they land on. A day-rate firm keeps them. An outcome-priced firm passes them to the client.

25/25

AU AI services firms that hide pricing behind a scoping call

Our 2026 market scan found every surveyed competitor hides pricing. The scoping call is not due diligence — it is the start of a sales process designed to anchor a number before you can compare. Effektiv posts pricing before any salesperson enters the conversation.

The gap in the market

The AU AI services market consolidated. What's left isn't purpose-built for AI delivery.

When Eliiza was absorbed into Mantel Group in 2024, the only pure-play AI delivery boutique operating at scale in Australia ceased to exist as an independent firm. What remained was Big-4 strategy practices, generalist digital agencies that added an AI chapter to their pitch, and offshore delivery houses.

None of them start from AI-first delivery. The Big-4 layer on AI to protect rate cards. The agencies learned the vocabulary recently. The offshore houses optimise for cost, not fit or governance.

Most AI advisory work reaching AU CIOs in 2026 arrives as strategy, not delivery. Accounting and advisory firms can diagnose the gap and write the roadmap. They need a partner to build the thing. Effektiv is that firm.

AU AI services landscape · 2026

Big-4 AI practices

Expensive · slow to mobilise · template-driven · day-rate model

Not AU mid-market

Generalist digital agencies

Added an AI chapter · no outcome pricing · no eval rigour

Not AI-first

Offshore delivery houses

Cost-optimised · sovereignty risk · no AU governance posture

Not AU-governed

Effektiv

AI-first · outcome-priced · AU-based · EffektAI platform · senior delivery

The gap

Three reasons buyers choose Effektiv

The conversation with senior AU procurement leaders has shifted. Here is what they now ask us to prove.

01

Claims replaced with evidence

Proof before the first client signed

The EffektAI delivery platform runs live on sixteen production SaaS products built before the first Effektiv client signed. Every engagement ships an evaluation rig the client can audit. Every AI-authored artefact is checked against tests the client can read. Every outcome contract names the metric, the measurement, and the threshold.

In late 2025, a Big-4 firm was found to have used AI to fabricate citations in a report delivered to the Australian government — and refunded the fee. The quality floor that justified premium rates has moved. The conversation with senior CIOs is no longer about whether to consider an alternative. It is about what an alternative needs to prove.

02

Rate cards replaced with posted ranges

25 out of 25 competitors hide it. We post it.

Outcome-priced engagements begin from $80,000. Milestone-gated builds carry kill-gates the client controls. Embedded retainers fund coached delivery at a monthly rate with no lock-in. The first call is free. The benchmark of your last project is free.

Pricing is visible before any salesperson enters the conversation. The variable component on an outcome contract pays only when the EffektAI eval rig confirms we beat your benchmark — the saving sits on your balance sheet, not ours.

See our pricing →

03

Template delivery replaced with fit-shaped delivery

Shaped to what we find, not to what the template prefers

The Big-4 sell engagements shaped like industrial metaphors — factories, refineries, pipelines — each a productised delivery that runs the same regardless of your team, your existing stack, or the constraints that actually matter. Diagnose runs one to two weeks, paid. We read your tickets, sit with your team, and audit your AI controls before drafting a plan.

One client's previous migration team had missed twenty-three critical fields — twice — because they planned from the documentation. The EffektAI Diagnose Engine found those fields in week one from the data. The plan we drafted reflected what was actually there. That is the difference between a template and a fit.

How EffektAI works →

What AI-first means in practice

AI does the work AI is good at. Humans own the work that requires judgement. The boundary is not theoretical.

What AI handles

  • Code authoring under direction from the senior pair
  • Test rebuilds from runtime traces and production data
  • Schema migration scripts — written, run, corrected, re-run
  • Eval rig scaffolding and integration adapter generation
  • Codebase archaeology — reading legacy systems the documentation missed
  • Alert triage and known-fault resolution in the SRE path

What humans own

  • Architecture decisions — every load-bearing call
  • Security gates — zero high-severity findings before merge
  • Anything that touches money or a record of truth
  • Contract terms, outcome metrics, and kill-gates
  • The moment a flagged exception lands on a clinician's screen
  • Named accountable person on every autonomous AI decision

The economic shape that follows is what makes outcome pricing possible. The same senior pair ships more, faster, at a lower cost. The EffektAI platform is what keeps the quality consistent. Fit-shaped delivery is what keeps the savings on your side of the contract.

The cost saving on a 2026 AI-augmented build is real, but it lands on whichever side of the contract is brave enough to write it down. We write it down. The variable component pays only when the EffektAI rig says we beat your benchmark.

AR

Ashiq Rahman

Founder & Principal Engineer · Effektiv

A simple commitment

Show us a quote. We'll benchmark it. Free.

Show us a quote you've received, or an invoice from a project that finished, stalled, or ran longer than it should have. We price the same scope on outcomes, not hours, with AU governance built in from the first conversation.

1

Show us a quote

A vendor proposal you've been quoted on, or an invoice from a project that ran. We work from a real number, not a guess.

2

We benchmark

Same scope, Effektiv pace. Outcome-priced or milestone-gated. Free — no scoping call required to see a number.

3

You pay for outcomes

Not hours. Not slides. The result, agreed upfront, on the contract — with the EffektAI eval rig as the shared measure.

Benchmark your last project →

Outcome-priced from day one

See what your next build costs at AI pace.

Show us a scope, a legacy system, or a quote you've received. We price on outcomes — 40–60% lower than a comparable day-rate engagement — with AU governance and data sovereignty built in from day one.

Get an outcome-priced quote See the services →