The LOKAL AI practice
Decide where AI belongs, help people use it and keep the agreed workflows running.
For leaders building practical AI capability inside their own team.
The work, in order
Training, direction, adoption, implementation and ongoing management connect around the work.
01 · Training
For the people who will use AI in their work.
Build practical skills around the work your team already does. Agree the audience, their starting point and the tasks they need to practise. The next step is a training brief with clear responsibilities for applying what people learn.
02 · The Blueprint
For leaders deciding what to do and in what order.
Connect the business question to a plan. Review the work, the available information, the tools and the people involved. The result should make the priorities and decisions clear before a build or adoption program begins.
03 · The Program
For teams moving from individual experiments to shared working habits.
Give adoption a plan, a named lead and a review rhythm. Connect training to real tasks, support the people using the tools and examine what is being used. The work includes deciding what to continue, change or stop.
04 · Applied AI
For a defined workflow that needs to be built.
Turn the agreed scope into working automation. Specify the inputs, the intended output and the points where a person checks or takes over. Test the workflow against examples before relying on it in daily work.
05 · Run
For organisations that need ongoing management after launch.
Keep the workflow useful as the business changes. Agree ownership, review exceptions and maintain the instructions, connections and checks. Use the operating record to decide which improvements belong in the next plan.
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The record behind the work
The record belongs to the organisation, period and work described here.
Joshua Pielago built and led Uber’s APAC support-automation program. Uber Eats APAC support automation rose from 3.24% to 74% between 2019 and October 2024. The Eater persona reached 93%, the highest globally; that is a persona result, not the overall automation rate.
In 2025–26, Uber’s AI Everyday program across five APAC markets trained approximately 4,000 employees and produced more than 300 production bots. Uber’s internal AI Academy was built from zero.
Read Joshua’s full credential line ↗LOKI delivers approximately 80% of LOKAL’s own services. In July 2026, the internal system had 433 tools and 19 skills. That gives the practice its own working context for deciding what to automate and where senior judgement belongs.
These are scoped records, not a promised result for another team. Your starting point depends on the workflow, the available information and the people who will maintain it.
See the internal LOKI case ↗Where we run it
LOKAL runs local training, consulting and implementation work in both markets.
Read the local context, scope and next step for AI training philippines.
Read the local context, scope and next step for impact of AI in the philippines.
Read the local context, scope and next step for AI courses philippines.
Read the local context, scope and next step for AI automation cost philippines.
Read the local context, scope and next step for AI in the philippines 2026.
Read the local context, scope and next step for AI training sydney.
Read the local context, scope and next step for AI workshops philippines.
Read the local context, scope and next step for AI automation cost australia.
Read the local context, scope and next step for AI seo philippines.
Read the local context, scope and next step for AI workshops australia.
Read the local context, scope and next step for AI automation australia.
Read the local context, scope and next step for AI seo services australia.
Read the local context, scope and next step for AI consulting melbourne.
Read the local context, scope and next step for AI corporate training philippines.
Read the local context, scope and next step for AI consulting australia.
Read the local context, scope and next step for AI consulting sydney.
Read the local context, scope and next step for AI for australian business.
Read the local context, scope and next step for AI training australia.
Platforms
We compare each platform against the work, information and people involved.
Claude in an Australian business: choosing access and putting it into everyday work.
Claude for Philippine teams, with training and adoption context.
ChatGPT for an Australian team, from access decisions to practical use.
ChatGPT for Philippine teams and the work they want to improve.
Copilot in the Australian workplace and the tasks a team needs to practise.
Copilot for Philippine teams, with a plan for adoption in everyday work.
Browse the tool and model catalogue before choosing a platform.
By function
A finance team, a marketing team and a support team start with different work.
AI in the work of running and marketing an online store.
Read the hr philippines page to connect the function’s work with the right starting point in the practice.
Read the marketing australia page to connect the function’s work with the right starting point in the practice.
Read the finance page to connect the function’s work with the right starting point in the practice.
Read the finance australia page to connect the function’s work with the right starting point in the practice.
Read the finance philippines page to connect the function’s work with the right starting point in the practice.
Support workflows, escalation and the scoped Uber Eats APAC automation record.
Read the law australia page to connect the function’s work with the right starting point in the practice.
Read the marketing philippines page to connect the function’s work with the right starting point in the practice.
Planning and coordination work for teams managing supply chain information.
Read the finance teams page to connect the function’s work with the right starting point in the practice.
Read the marketing page to connect the function’s work with the right starting point in the practice.
Read the law philippines page to connect the function’s work with the right starting point in the practice.
Read the hr page to connect the function’s work with the right starting point in the practice.
Read the hr australia page to connect the function’s work with the right starting point in the practice.
Read the law page to connect the function’s work with the right starting point in the practice.
Guides
Our AI guides ↗ explain the practical choices behind training, tools and workflows.
Compare the pricing context in the published guide before you choose access.
Read how Claude relates to marketing tasks and the people reviewing the work.
Read the team’s account of a platform choice and the work behind it.
Compare the platforms in the context of business work.
Read the account of AI in LOKAL’s own marketing work.
Common questions
Use these questions to identify the decision to bring to the consultation.
Start with the decision you need to make. Training fits a skills need; the Blueprint fits a planning need. A team with a defined workflow may be ready for Applied AI, while adoption across the organisation belongs in the Program. The consultation helps identify the appropriate next step.
No. The AI practice works with your own team on training, planning, adoption and workflows. LOKAL also provides senior marketing direction and specialists for agencies and multi-location businesses.
Begin with the work, the information involved and the people who will use the tool. We compare Claude, ChatGPT and Copilot against that need before proposing another tool.
We discuss your business question, the team involved and what you have already tried. You leave with an agreed next step for scoping the work. We reply to enquiries within one business day to arrange the 30-minute consultation.
Your next step
Tell us about the work, the people involved and what you have already tried. We reply within one business day to arrange the consultation.
For senior marketing direction with specialists, see the agency team ↗ or the multi-location team ↗.