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Services

AI delivery, six ways.

One thesis. Six entry points. Outcome-priced from day one. Each engagement begins with a 1–2 week Diagnose phase — we read your systems and sit with your team before drawing a line of architecture.

Get a Diagnose proposal → See engagement models

Six entry points

One thesis. Six ways to start.

By 2026 a typical enterprise software project has AI doing 60% of the work at 10% of the cost. Five of these services build the system for you. One coaches your team to ship without us.

01

Modernisation

Replace legacy systems in weeks, not 14-month overruns. AI agents map what actually runs, decode the rules nobody documented, and rebuild the test scaffold from runtime traces. Your team owns the new system at exit.

11 weeks median · 40–60% lower cost →

02

Operations & Integration

RPA and ESB out, agent mesh in. Run cost down 50–70%. Money-touching writes still pass a human gate before any record changes.

From $80k →

03

AI Adoption

Your team ships AI without us in 90 days. With-you mode. We work alongside your engineers until independent shipment is the norm, not the exception.

3–6 months →

04

Customer Experience

Support, CRM, and content with brand-voice eval gates. AI drafts, humans review, no false reply reaches a buyer. 88% deflect rate on routine queries.

From $25k/mo →

05

Software Build

Custom products and greenfield software, shipped in 8 to 14 weeks. AI authors the bulk of the code. Humans own architecture, security, and sign-off.

8–14 weeks · outcome-priced →

06

Maintenance & SRE

AI in the alert path. 50–70% drop in human-paged incidents. Known faults close without a person. Retainer cost goes down as the automation rate goes up.

Retainer →

Six entry points

Each service runs the same method. Different shape, different rig.

Starting price, typical duration, and named eval rig focus for each. Pick the entry that matches the engagement shape, not the firm's framework.

Modernisation

01

Price

From $80k

Duration

11 wks median

Replace legacy systems in weeks, not 14-month overruns. AI agents map what actually runs, decode the rules nobody documented, and rebuild the test scaffold from runtime traces. Your team owns the new system at exit.

Eval rig focus

Schema match · regression delta · cut-over rehearsal

Read the service →

Operations & Integration

02

Price

From $80k

Duration

8–14 wks

RPA and ESB out, agent mesh in. Run cost down 50–70%. Money-touching writes still pass a human gate before any record changes.

Eval rig focus

Integration latency · contract test · message-loss

Read the service →

AI Adoption

03

Price

$25–80k/mo

Duration

3–6 months

Your team ships AI without us in 90 days. With-you mode. We work alongside your engineers until independent shipment is the norm, not the exception.

Eval rig focus

Capability transfer · independent ship count

Read the service →

Customer Experience

04

Price

From $25k/mo

Duration

6–12 wks

Support, CRM, and content with brand-voice eval gates. AI drafts, humans review, no false reply reaches a buyer. 88% deflect rate on routine queries.

Eval rig focus

Brand-voice match · policy match · risk score

Read the service →

Software Build

05

Price

From $80k

Duration

8–14 wks

Custom products and greenfield software, shipped in 8 to 14 weeks. AI authors the bulk of the code. Humans own architecture, security, and sign-off.

Eval rig focus

Spec coverage · authorship trace · security scan

Read the service →

Maintenance & SRE

06

Price

$25–80k/mo

Duration

Retainer

AI in the alert path. 50–70% drop in human-paged incidents. Known faults close without a person. Retainer cost goes down as the automation rate goes up.

Eval rig focus

Triage accuracy · MTTD · false-positive rate

Read the service →
"

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 rig says we beat your benchmark.

AR

Ashiq Rahman

Founder & Principal Engineer · Effektiv

Which service fits

A 30-second route to the right entry point.

Replacing a legacy system?

Yes →
Modernisation AI archaeology + 11-week median rebuild.
Vendor migration (NetSuite, SAP, Dynamics, AS/400) →
Modernisation Same path — we run these archaeologies routinely.

Fixing integration chaos or RPA breakage?

Yes →
Operations & Integration Agent mesh replaces RPA + ESB at 50–70% run cost.
Regulated (banks, insurers) →
Operations & Integration APRA CPS 230 mapped in Design.

Building a new product or feature?

Yes →
Software Build 8–14 weeks, AI-authored, human-reviewed.
SaaS platform with multiple products →
Software Build We have shipped 16-product platforms on shared foundations.

Want skill in-house, not vendor delivery?

Yes →
AI Adoption Your team ships AI without us by month 3.
Skill plus existing 24/7 ops →
AI Adoption Pair Adoption with Maintenance & SRE.

Customer support drowning in template debt?

Yes →
Customer Experience AI drafts for human review. Brand-voice eval gated.
Health-touching workflows →
Customer Experience AHPRA + Privacy Act audit log on every send.

On-call team paged for things a machine could close?

Yes →
Maintenance & SRE AI in the alert path. 73% fewer human pages typical.
Cost-driven →
Maintenance & SRE Retainer goes down as automation rate goes up.

Where most engagements start

Modernisation is the most common starting point. The legacy system carries pricing rules nobody documented, and the rebuild has stalled twice on the same data archaeology problem.

Operations & Integration is the next. RPA bots breaking on every quarterly upstream change, plus an ESB estate paid by seat count instead of usage.

AI Adoption is the with-you mode for teams that want skill transfer over delivery. The engagement closes when your engineers ship an AI feature without us on the call.

Each service runs the same method

Three phases. Diagnose, Design, Deliver. Two weeks of listening before a line of code. The price agreed at the end of Design is the price of the build.

Every engagement ships an eval rig the client owns at exit — the quality gates that ran during delivery, available to run again on any future change.

EffektAI — the platform behind the method →

What we do not bid for

We do not bid for autonomous AI decisioning against individuals (clinical, judicial, financial), AI deployments without a named human accountable, or work that requires data to leave Australia.

Read our position on the Why AI? page →

Common questions

Frequently asked questions.

Outcome-priced from day one

See what this would cost at Effektiv pace.

Pick a project that finished or stalled. Show us a quote you've received. We'll price the same scope on outcomes, not hours.