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Effektiv Platform
EffektAI

The platform behind every rebuild

Every Effektiv engagement runs on EffektAI — the same quality checks, connected AI systems, and Australian governance standards, tested across sixteen production SaaS products and handed to every client at the end.

When the approach lives in a platform rather than a slide deck, quality ships consistently. When the platform ships to your team at the end, the value stays with you — not us.

73%

of code AI-authored on production engagements — every line traceable back to how it was made

5

quality checks on everything before a human reviews it — spec, tests, security, performance, audit trail

16

production SaaS products built and running on EffektAI — $1.1M against a $4.2M Big-4 quote

0

platform components we keep at the end — quality checks, audit trail, runbooks, all yours

See EffektAI in action

How the platform turns a brief into production code.

Coming soon · EffektAI platform walkthrough

Video placeholder — production to follow

A full platform walkthrough is in production. Request a live demo →

The platform thesis

A method in a slide deck degrades. A method in a platform ships consistently.

Most software firms have a way of working. It lives in a deck, a shared drive, or the heads of two or three experienced people. When those people aren't on your project, the method isn't either.

EffektAI encodes the way we work into a platform — the quality checks, the connected AI systems, the Australian governance controls, and the full audit trail. Every engagement runs on the same tested platform. Quality doesn't depend on which people are assigned to your project.

The second and more important difference: EffektAI ships to your team at the end of the engagement. The quality checks, the audit trail, the runbooks — everything transfers. You are not dependent on Effektiv to run what we built. That's the whole point.

When the method is a platform, it ships consistently regardless of who's on your project. That's the difference between hiring a firm for its people and getting something built to last.

Ashiq Rahman · Founder, Effektiv

The old way

  • Lives in a deck or shared drive
  • Depends on who's assigned
  • Fades between projects
  • Stays with the vendor when it's done

EffektAI

  • Encoded in a tested platform
  • Consistent across every engagement
  • Improves with each production run
  • Ships to your repo at exit

Platform capabilities

What the platform actually does.

Each part solves a distinct problem in rebuilding software with AI. Together they form the platform that makes EffektAI more than a slide deck.

🔍

Layer 01

Understand

We read the existing systems, history, and data before touching anything. We surface the undocumented fields, hidden dependencies, and rules that were never written down — before a single line of the rebuild is written.

  • Works across any language or system
  • Reads the data, not just the documentation
  • Ends with a findings document and a fixed-fee proposal
🧪

Layer 02

Quality Checks

Every piece of work goes through five checks — does it match the spec, is it tested, is it secure, does it perform, is it traceable — before a human reviewer even sees it. If it fails, it doesn't ship.

  • Checks agreed upfront, not improvised at the end
  • Ships to your repo at handover, ready to run
  • Your team can extend it after we leave
🤖

Layer 03

Connected AI Systems

AI systems work together on the work that benefits from breadth and speed — writing code, rebuilding tests, migration scripts, quality checks, and connecting systems together. People make the decisions that need judgement.

  • Build, test, migrate, and triage — all working together
  • Anything touching money or core records is always human-approved
  • All processing stays in Australian data regions
🗄️

Layer 04

Full Audit Trail

Every line of AI-authored code is traceable back to how it was made. The record is searchable on demand and ships to you at the end. If a regulator ever asks how something was built, the answer already exists.

  • Full record for every change: what made it, how it was checked
  • Audit-ready for regulated Australian businesses
  • Ships to your repo — owned by you at the end
🏛️

Layer 05

Built for Australia

Australian regulatory requirements are built into the platform from the start — not bolted on as a checklist afterwards. Relevant standards and privacy requirements are mapped upfront and enforced as the system runs.

  • Meets relevant Australian regulatory and safety standards
  • Path to government-grade data handling underway
  • A named person is accountable for every automated decision
🔄

Layer 06

Continuous Update

After handover, the platform your team owns keeps working. Quality checks keep catching problems. The audit trail keeps recording every change. The runbooks capture how the system actually behaves — not just how it was designed to. Your systems stop ageing by default, staying current as your business, regulations, security threats, and the underlying AI models evolve.

  • Quality checks keep running in your own pipeline
  • Runbooks update themselves from what actually happens
  • Extend it yourselves, without re-engaging us

Built for the full SDLC

From legacy system to production — EffektAI spans every phase.

It's the same idea the big consultancies use at enterprise scale, built for businesses of every size at a fraction of the price — and with no lock-in.

01

Ingest

We read the legacy code, data, and history. No documentation required.

02

Specify

AI generates the architecture, quality checks, and outcome contract from what we found — not from a template.

03

Build

Connected AI systems write the code under human review. Five quality checks on everything. 73% AI-written, 100% human-approved.

04

Ship

The switchover is rehearsed on a copy of the live system first. Rollback plans are agreed upfront. Your team runs the actual switch.

05

Operate

AI keeps triaging issues, quality checks keep running, and the record keeps growing in your repo — kept current without re-engaging us.

EffektAI runs on Australian infrastructure from

AWS Bedrock Sydney Anthropic Claude (AU infra) Google Gemini (AU region) AWS VPC · IAM · PrivateLink · KMS Model-agnostic — no lock-in to any one provider AWS Bedrock Sydney Anthropic Claude (AU infra) Google Gemini (AU region) AWS VPC · IAM · PrivateLink · KMS Model-agnostic — no lock-in to any one provider

Common questions

Frequently asked questions.

Built by us. Yours at the end.

See EffektAI applied to your business.

Show us what you're running now. We price on outcomes, build on EffektAI, and hand the platform to your team when we leave.