AI uplift programme
From first use case to everyday habit.
Four steps, each with a clear deliverable. Start with a two-week sprint, then continue only if it's worth it.
01 — The programme
Pick · Press · Cure · Roll out
Lavashak is made by choosing ripe fruit, pressing it thin, letting it cure, then sharing it. Good AI work follows the same order, and skipping a step is usually why pilots stall.
- 01
Pick
Map the work, data and risk; choose the use cases worth doing.
We sit with the people doing the work, look at the data you already have and agree on a short list of use cases with a clear payoff and an acceptable risk.
- 02
Press
Prototype and build on your data and systems.
A working prototype on your own data within weeks, then a production build that plugs into the systems your team already uses.
- 03
Cure
Harden it: security, privacy, evaluation, governance.
We test the outputs, check where data goes, set up access controls and write down how the tool should and shouldn't be used.
- 04
Roll out
Train, support and measure until it's everyday practice.
Training, playbooks and local champions, plus simple adoption metrics, so the tool becomes part of the week rather than a launch-day demo.
02 — Packages
Clear scope, clear outcomes.
Each step is a package you can buy on its own. Most clients start with the Readiness Sprint. Pricing depends on scope; we'll give you a fixed quote after a first call.
- 01 — PickStart here
AI Readiness Sprint
Find your first AI win and see it working on your data.
- Duration
- 2 weeks
- Pricing
- Fixed price
- Use-case discovery
- Data and risk check
- Prioritised roadmap
- Clickable prototype
- 02 — Press
Build
A production app, integration or AI agent on your systems.
- Duration
- 6–12 weeks
- Pricing
- Per phase
- Production-grade build
- Integration with your systems
- Evaluation and testing
- Weekly demos
- 03 — Cure
Assure
An independent check before you scale, for new or existing AI tools.
- Duration
- 2–4 weeks
- Pricing
- Fixed price
- Security review
- Privacy review
- Output evaluation
- Governance and usage policy
- 04 — Roll out
Adopt
Training and support until the tool is part of everyday work.
- Duration
- Ongoing
- Pricing
- Monthly
- Role-based training
- Team playbooks
- Champions programme
- Adoption metrics
03 — FAQ
Common questions.
If yours isn't here, ask us on a call. We'll give you a straight answer.
What happens to our data?
Your data stays in your environment wherever possible. We use enterprise AI services with no training on your data, keep Australian data residency where it's available, and document every place data flows. If a use case isn't safe to do with a given model or vendor, we'll tell you before we build it.
Which AI models do you use?
We're model-agnostic. We regularly work with models from Anthropic, OpenAI, Google and Microsoft (including Azure OpenAI and Copilot), and with open-weight models when data has to stay on your infrastructure. We pick per use case based on accuracy on your data, cost, and where the data is allowed to go.
How long does it take?
The Readiness Sprint takes 2 weeks and ends with a working prototype. Most builds take 6–12 weeks to reach production. Assure reviews take 2–4 weeks. Adoption support runs monthly for as long as it's useful, usually 3–6 months.
Do you work with our existing IT team?
Yes, and we prefer to. We work inside your security and change processes, pair with your developers, and hand over code, documentation and runbooks so your team can own what we build. We don't lock you into proprietary platforms.
What if AI isn't the right answer?
Then we'll say so. Sometimes a simpler automation, a better form or a report does the job. We'd rather recommend that than build something that won't get used.
Next step
Find your first AI win in two weeks.
A fixed-price readiness sprint with a working prototype on your data.