Most businesses Few have institutionalised AI.

Adopted AI never pays for itself. We redesign work to institutionalise AI, until it does.

Trusted by ambitious NZ and Australian retail, tourism and financial services businesses.

Adopted AI runs when someone chooses to use it.Institutionalised AI runs whenever work happens.

What adopted AI looks like

Licences bought, training delivered
AI bolted onto the existing workflow
Pilots running in isolation
Individuals moving faster
Success measured in usage

What institutionalised AI looks like

The workflow itself redesigned
AI built into how the work runs
Systems running in production
Teams moving faster
Success measured in P&L movement

Every workflow you redesign leaves behind intelligence the next one uses. That is what changes the business rather than the task.

How we work

Align

You know what the business is trying to achieve.

We find the processes getting in the way, and where the intelligence behind them sits. Then we work out which ones AI is worth building for, what each is worth, and what your security, data and risk teams need to approve.

AI strategy and opportunity mapping Use case prioritisation and value modelling Data, security and AI governance

Build

You already have the systems, the data and the access controls.

We design how the work should run, then build it inside them: on your cloud, under your identity management, with every action logged.

That includes the intelligence layer. Your policies, your history, the way this business actually does it, written down so the system works from it every time.

Future-state workflow design Context architecture and system integration Agent orchestration, guardrails and evaluation

Enable

Your people use the new way of working during the build, on real work.

What you keep is the ability to extend it. The team running the workflow can change it themselves, and the intelligence stays in the business rather than with the person who happened to build it.

Operating model Change management and adoption Reusable patterns and baseline reporting

Four ways to work with us.

AI Capability Accelerator

Your team enabled, your work redesigned by the people who own it.

Your people rebuild one of their own workflows, on your data, in your tools. We handle setup and the baseline so their time goes into building.

DurationFour weeks, plus a day-30 check
What you get Workflows in production, built by the people who run them
Book a discovery call

AI Build Accelerator

Your work redesigned, your first workflow running in production.

One workflow mapped end to end, then rebuilt as a working system inside your cloud, your identity management and your data: orchestration, the agents that do the work, and the guardrails around them.

DurationSix weeks
What you get Running in production, to hit the ROI target we agree
Book a discovery call

Platform Operations

Your AI platform connected to your systems and your data.

Claude, Copilot, ChatGPT or Gemini running inside your environment, under your identity management and connected to your document stores and line-of-business systems, then kept current as models and connectors change.

DurationImplementation, then monthly
What you get A platform your people can reach your data through
Book a discovery call

Operating Model Programme

Your operating model redesigned around what the build proves.

The next workflows built in sequence, the architecture and governance underneath them designed as they go, and a quarterly scorecard the board can read. Available as a bounded programme phase or an ongoing partnership.

Duration90-day phase, or ongoing with a six-month minimum
ScopeScoped to the outcome
What you get A signed operating-model blueprint, with the workflows to prove it
Book a discovery call

Examples of work

Commercial teams

Selling time goes back to selling.

Where it runs

Tender responses drafted from the answers you've already written
Quotes produced while the customer is still on the call
Every account researched before the meeting, not just the big ones

Operations teams

People handle the exceptions. The rest goes through on its own.

Where it runs

Invoices and orders read, checked and entered without a person retyping them
Customer questions answered directly, with only the hard ones reaching your team
Parts lists and specifications extracted straight out of drawings and documents

Engineering teams

Engineers spend their time on what AI can't do.

Where it runs

Testing that runs continuously instead of in scheduled cycles
Estimates produced from the brief in minutes, not days
Routine code review handled before a developer looks at it

Marketing teams

The team stops being the limit on how much gets produced.

Where it runs

Product descriptions written and kept up to date across the whole catalogue
Campaign content produced in days rather than weeks
Images and video generated to brief instead of booked and scheduled

Agentic commerce

Your systems opened to agents safely, and your products made findable by the ones doing the shopping.

Where it runs

Your existing systems wrapped so AI agents can use them, with rules about what each agent is allowed to do
Your catalogue readable by the assistants your customers now shop through
Product information structured so AI shopping agents can find and compare what you sell accurately

Born in global commerce. Built for ANZ.

Allexive was started out of the Overdose Group by Mike Bayly, a 150-person global commerce consultancy. Combining commerce experience with frontier AI engineering and expertise.

Where would AI actually pay off in your business?

Thirty minutes, no pitch. We'll ask where you are now, what you have already tried, and which workflow would pay back first. If we are not the right fit, we will say so.